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2020 – today
- 2024
[j131]Jingna Xie, Yingshuo Wang, Qiuyang Sheng
, Xiaoqing Liu, Jing Li, Fenglei Sun, Yuqi Wang, Shuxian Li, Yiming Li, Yizhou Yu, Gang Yu:
Identification of mycoplasma pneumonia in children based on fusion of multi-modal clinical free-text description and structured test data. Health Informatics J. 30(2) (2024)- [j130]Haoyu Ma, Xiangru Lin, Yizhou Yu:
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1695-1710 (2024) - [j129]Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu:
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10297-10318 (2024) - [j128]Jichang Li, Guanbin Li, Yizhou Yu:
Inter-domain mixup for semi-supervised domain adaptation. Pattern Recognit. 146: 110023 (2024) - [j127]Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu:
Correction to "A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation". IEEE Trans. Medical Imaging 43(2): 899 (2024) - [j126]Penghua Zhai, Huaiwei Cong, Enwei Zhu, Gangming Zhao, Yizhou Yu, Jinpeng Li:
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3-D CT Lesions. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7376-7390 (2024) - [j125]Zhongjin Luo, Dong Du, Heming Zhu, Yizhou Yu, Hongbo Fu, Xiaoguang Han:
SketchMetaFace: A Learning-Based Sketching Interface for High-Fidelity 3D Character Face Modeling. IEEE Trans. Vis. Comput. Graph. 30(8): 5260-5275 (2024) - [c139]Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu:
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. AAAI 2024: 3118-3126 - [c138]Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu:
RegionGPT: Towards Region Understanding Vision Language Model. CVPR 2024: 13796-13806 - [c137]Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu:
OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation. CVPR 2024: 16296-16306 - [c136]Fei Gao, Siwen Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Churan Wang, Gang Yu, Yizhou Yu:
Cross-dimensional Medical Self-supervised Representation Learning Based on a Pseudo-3D Transformation. MICCAI (11) 2024: 178-188 - [c135]Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang:
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining. MICCAI (9) 2024: 615-625 - [i138]Xinyuan Wang, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu:
Leveraging Frequency Domain Learning in 3D Vessel Segmentation. CoRR abs/2401.06224 (2024) - [i137]Jichang Li, Guanbin Li, Yizhou Yu:
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation. CoRR abs/2401.11448 (2024) - [i136]Jichang Li, Guanbin Li, Yizhou Yu:
Inter-Domain Mixup for Semi-Supervised Domain Adaptation. CoRR abs/2401.11453 (2024) - [i135]Chenyu Lian, Hong-Yu Zhou, Yizhou Yu, Liansheng Wang:
Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models. CoRR abs/2401.12215 (2024) - [i134]Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, Shanshan Wang:
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining. CoRR abs/2402.03302 (2024) - [i133]Gangming Zhao, Chaoqi Chen, Wenhao He, Chengwei Pan, Chaowei Fang, Jinpeng Li, Xilin Chen, Yizhou Yu:
Progressive Conservative Adaptation for Evolving Target Domains. CoRR abs/2402.04573 (2024) - [i132]Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqing Zhang, Yizhou Yu:
SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging. CoRR abs/2402.17246 (2024) - [i131]Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu:
RegionGPT: Towards Region Understanding Vision Language Model. CoRR abs/2403.02330 (2024) - [i130]Yunxiang Fu, Chaoqi Chen, Yu Qiao, Yizhou Yu:
DreamDA: Generative Data Augmentation with Diffusion Models. CoRR abs/2403.12803 (2024) - [i129]Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu:
OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation. CoRR abs/2403.17334 (2024) - [i128]Fei Gao, Siwen Wang, Churan Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Gang Yu, Yizhou Yu:
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation. CoRR abs/2406.00947 (2024) - [i127]Jiaxin Wu, Yizhou Yu, Hong-Yu Zhou:
Uncertainty Estimation of Large Language Models in Medical Question Answering. CoRR abs/2407.08662 (2024) - [i126]Yunxiang Fu, Chaoqi Chen, Yizhou Yu:
LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba. CoRR abs/2408.02615 (2024) - [i125]Siwen Wang, Churan Wang, Fei Gao, Lixian Su, Fandong Zhang, Yizhou Wang, Yizhou Yu:
Autoregressive Sequence Modeling for 3D Medical Image Representation. CoRR abs/2409.08691 (2024) - [i124]Meng Lou, Yunxiang Fu, Yizhou Yu:
SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks. CoRR abs/2409.09649 (2024) - [i123]Xin Wei, Yaling Tao, Changde Du, Gangming Zhao, Yizhou Yu, Jinpeng Li:
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features. CoRR abs/2409.15744 (2024) - 2023
- [j124]Ruikun Li, Chengyang An, Shuxin Wang, Guisheng Wang, Lifeng Zhao, Yizhou Yu, Lisheng Wang:
A heuristic method for rapid and automatic radiofrequency ablation planning of liver tumors. Int. J. Comput. Assist. Radiol. Surg. 18(12): 2213-2221 (2023) - [j123]Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu:
Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training. Neurocomputing 529: 11-22 (2023) - [j122]Taiping Qu, Xiuli Li, Xiheng Wang, Wenyi Deng, Li Mao, Ming He, Xiao Li, Yun Wang, Zaiyi Liu, Longjiang Zhang, Zhengyu Jin, Huadan Xue, Yizhou Yu:
Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation. Medical Image Anal. 86: 102801 (2023) - [j121]Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Zhizheng Zhuo, Yunyun Duan, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Yaou Liu, Chuyang Ye:
CarveMix: A simple data augmentation method for brain lesion segmentation. NeuroImage 271: 120041 (2023) - [j120]Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu:
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3677-3694 (2023) - [j119]Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu:
A Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8020-8035 (2023) - [j118]Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Xiaoguang Han, Lequan Yu, Liansheng Wang, Yizhou Yu:
nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer. IEEE Trans. Image Process. 32: 4036-4045 (2023) - [j117]Jichang Li, Guanbin Li, Yizhou Yu:
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation. IEEE Trans. Image Process. 32: 5580-5594 (2023) - [j116]Xingxin Xu, Qikui Zhu, Hanning Ying, Jiongcheng Li, Xiujun Cai, Shuo Li, Xiaoqing Liu, Yizhou Yu:
A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images. IEEE J. Biomed. Health Informatics 27(1): 386-396 (2023) - [j115]Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu:
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation. IEEE Trans. Medical Imaging 42(1): 183-195 (2023) - [j114]Chenghong Li, Leyang Jin, Yujian Zheng, Yizhou Yu, Xiaoguang Han:
EMS: 3D Eyebrow Modeling from Single-View Images. ACM Trans. Graph. 42(6): 269:1-269:19 (2023) - [c134]Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge:
RankDNN: Learning to Rank for Few-Shot Learning. AAAI 2023: 728-736 - [c133]Yinghong Liao, Wending Zhou, Xu Yan, Zhen Li, Yizhou Yu, Shuguang Cui:
Geometry-Aware Network for Domain Adaptive Semantic Segmentation. AAAI 2023: 8755-8763 - [c132]Jingpeng Sun, Rongxiao Wang, Gangming Zhao, Chen Chen, Yixiao Qu, Jinpeng Li, Xiyuan Hu, Yizhou Yu:
START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer. BIBM 2023: 1421-1428 - [c131]Xinyuan Wang, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu:
Leveraging Frequency Domain Learning in 3D Vessel Segmentation. BIBM 2023: 1503-1508 - [c130]Yixuan Sun, Yiwen Huang, Haijing Guo, Yuzhou Zhao, Runmin Wu, Yizhou Yu, Weifeng Ge, Wenqiang Zhang:
MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence. CVPR 2023: 7121-7130 - [c129]Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu:
Improved Distribution Matching for Dataset Condensation. CVPR 2023: 7856-7865 - [c128]Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu:
Activate and Reject: Towards Safe Domain Generalization under Category Shift. ICCV 2023: 11518-11529 - [c127]Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo:
EGC: Image Generation and Classification via a Diffusion Energy-Based Model. ICCV 2023: 22895-22905 - [c126]Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang:
Learning Domain-Agnostic Representation for Disease Diagnosis. ICLR 2023 - [c125]Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu:
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning. ICLR 2023 - [c124]Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu:
Advancing Radiograph Representation Learning with Masked Record Modeling. ICLR 2023 - [c123]Lingfeng Li, Gangming Zhao, Yizhou Yu, Jinpeng Li:
Dynamic Triple Reweighting Network for Automatic Femoral Head Necrosis Diagnosis from Computed Tomography. ACM Multimedia 2023: 719-727 - [c122]Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, Yizhou Yu:
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation. NeurIPS 2023 - [i122]Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu:
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis. CoRR abs/2301.00772 (2023) - [i121]Haoyu Ma, Xiangru Lin, Yizhou Yu:
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation. CoRR abs/2301.01149 (2023) - [i120]Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu:
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation. CoRR abs/2301.02393 (2023) - [i119]Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu:
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis. CoRR abs/2301.04410 (2023) - [i118]Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu:
Adaptive Context Selection for Polyp Segmentation. CoRR abs/2301.04799 (2023) - [i117]Ruifei Zhang, Sishuo Liu, Yizhou Yu, Guanbin Li:
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation. CoRR abs/2301.04866 (2023) - [i116]Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu:
Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling. CoRR abs/2301.13154 (2023) - [i115]Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu:
Advancing Radiograph Representation Learning with Masked Record Modeling. CoRR abs/2301.13155 (2023) - [i114]Qiushan Guo, Yizhou Yu, Yi Jiang, Jiannan Wu, Zehuan Yuan, Ping Luo:
Multi-Level Contrastive Learning for Dense Prediction Task. CoRR abs/2304.02010 (2023) - [i113]Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo:
EGC: Image Generation and Classification via a Diffusion Energy-Based Model. CoRR abs/2304.02012 (2023) - [i112]Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, Shu Zhang, Yuanxu Gao, Jia Pan, Jun Shao, Guangming Lu, Kang Zhang, Weimin Li:
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics. CoRR abs/2306.00864 (2023) - [i111]Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu:
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning. CoRR abs/2306.17699 (2023) - [i110]Zhongjin Luo, Dong Du, Heming Zhu, Yizhou Yu, Hongbo Fu, Xiaoguang Han:
SketchMetaFace: A Learning-based Sketching Interface for High-fidelity 3D Character Face Modeling. CoRR abs/2307.00804 (2023) - [i109]Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu:
Improved Distribution Matching for Dataset Condensation. CoRR abs/2307.09742 (2023) - [i108]Chenghong Li, Leyang Jin, Yujian Zheng, Yizhou Yu, Xiaoguang Han:
EMS: 3D Eyebrow Modeling from Single-view Images. CoRR abs/2309.12787 (2023) - [i107]Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu:
Activate and Reject: Towards Safe Domain Generalization under Category Shift. CoRR abs/2310.04724 (2023) - [i106]Hao Wang, Qiang Song, Ruofeng Yin, Rui Ma, Yizhou Yu, Yi Chang:
B-Spine: Learning B-Spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation. CoRR abs/2310.09603 (2023) - [i105]Meng Lou, Hongyu Zhou, Sibei Yang, Yizhou Yu:
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition. CoRR abs/2310.19380 (2023) - [i104]Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu:
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. CoRR abs/2312.12263 (2023) - 2022
- [j113]Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Zhong Chen, Guisheng Wang, Yizhou Yu, John W. Paisley:
Few-shot medical image segmentation using a global correlation network with discriminative embedding. Comput. Biol. Medicine 140: 105067 (2022) - [j112]Chenxin Li, Xin Lin, Yijin Mao, Wei Lin, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu:
Domain generalization on medical imaging classification using episodic training with task augmentation. Comput. Biol. Medicine 141: 105144 (2022) - [j111]Jianwei Xu, Qingwei Zhang, Yizhou Yu, Ran Zhao, Xianzhang Bian, Xiaoqing Liu, Jun Wang, Zhizheng Ge, Dahong Qian:
Deep reconstruction-recoding network for unsupervised domain adaptation and multi-center generalization in colonoscopy polyp detection. Comput. Methods Programs Biomed. 214: 106576 (2022) - [j110]Taiping Qu, Xiheng Wang, Chaowei Fang, Li Mao, Juan Li, Ping Li, Jinrong Qu, Xiuli Li, Huadan Xue, Yizhou Yu, Zhengyu Jin:
M3Net: A multi-scale multi-view framework for multi-phase pancreas segmentation based on cross-phase non-local attention. Medical Image Anal. 75: 102232 (2022) - [j109]Xiaoyu Chen, Hong-Yu Zhou, Feng Liu, Jiansen Guo, Liansheng Wang, Yizhou Yu:
MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images. Medical Image Anal. 80: 102506 (2022) - [j108]Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, Ruibang Luo, Liansheng Wang, Yizhou Yu:
Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports. Nat. Mach. Intell. 4(1): 32-40 (2022) - [j107]Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation. Neural Comput. Appl. 34(4): 3151-3164 (2022) - [j106]Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Zhong Chen, Guisheng Wang, Yizhou Yu:
A teacher-student framework for liver and tumor segmentation under mixed supervision from abdominal CT scans. Neural Comput. Appl. 34(19): 16547-16561 (2022) - [j105]Chengdi Wang, Jiechao Ma, Shu Zhang, Jun Shao, Yanyan Wang, Hong-Yu Zhou, Lujia Song, Jie Zheng, Yizhou Yu, Weimin Li:
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases. npj Digit. Medicine 5 (2022) - [j104]Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu:
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 5947-5961 (2022) - [j103]Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu:
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7400-7416 (2022) - [j102]Ruikun Li, Yi-Jie Huang, Huai Chen, Xiaoqing Liu, Yizhou Yu, Dahong Qian, Lisheng Wang:
3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation. IEEE J. Biomed. Health Informatics 26(3): 1251-1262 (2022) - [j101]Baolian Qi, Gangming Zhao, Xin Wei, Changde Du, Chengwei Pan, Yizhou Yu, Jinpeng Li:
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images. IEEE J. Biomed. Health Informatics 26(10): 5142-5153 (2022) - [j100]Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu:
Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis. IEEE Trans. Medical Imaging 41(9): 2457-2468 (2022) - [j99]Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu:
GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis. IEEE Trans. Medical Imaging 41(12): 3498-3508 (2022) - [j98]Haoyu Ma, Bingchen Gong, Yizhou Yu:
Structure-aware Meta-fusion for Image Super-resolution. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 60:1-60:25 (2022) - [j97]Dong Du, Xiaoguang Han, Hongbo Fu, Feiyang Wu, Yizhou Yu, Shuguang Cui, Ligang Liu:
SAniHead: Sketching Animal-Like 3D Character Heads Using a View-Surface Collaborative Mesh Generative Network. IEEE Trans. Vis. Comput. Graph. 28(6): 2415-2429 (2022) - [c121]Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li, Yizhou Yu:
A Causal Debiasing Framework for Unsupervised Salient Object Detection. AAAI 2022: 1610-1619 - [c120]Xiangru Lin, Yuyang Chen, Guanbin Li, Yizhou Yu:
A Causal Inference Look at Unsupervised Video Anomaly Detection. AAAI 2022: 1620-1629 - [c119]Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu:
BOAT: Bilateral Local Attention Vision Transformer. BMVC 2022: 371 - [c118]Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu:
Compound Domain Generalization via Meta-Knowledge Encoding. CVPR 2022: 7109-7119 - [c117]Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang:
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. CVPR 2022: 9109-9119 - [c116]Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo:
Scale-Equivalent Distillation for Semi-Supervised Object Detection. CVPR 2022: 14502-14511 - [c115]Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu:
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels. ECCV (25) 2022: 21-37 - [c114]Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu:
Neighborhood Collective Estimation for Noisy Label Identification and Correction. ECCV (24) 2022: 128-145 - [c113]Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang:
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement. ECCV (21) 2022: 473-489 - [c112]Kehan Lin, Yizhou Yu:
Causal associations between neuroinflammation and Alzheimer's disease risk. ICBBS 2022: 30-38 - [c111]Chu-ran Wang, Fei Gao, Fandong Zhang, Fangwei Zhong, Yizhou Yu, Yizhou Wang:
Disentangling Disease-related Representation from Obscure for Disease Prediction. ICML 2022: 22652-22664 - [c110]Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu:
Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. MICCAI (1) 2022: 623-633 - [c109]Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu:
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. NeurIPS 2022 - [i103]Shu Zhang, Zihao Li, Hong-Yu Zhou, Jiechao Ma, Yizhou Yu:
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training. CoRR abs/2201.01426 (2022) - [i102]Dingwen Zhang, Guohai Huang, Qiang Zhang, Jungong Han, Junwei Han, Yizhou Yu:
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation. CoRR abs/2201.02356 (2022) - [i101]Jianwei Xu, Ran Zhao, Yizhou Yu, Qingwei Zhang, Xianzhang Bian, Jun Wang, Zhizheng Ge, Dahong Qian:
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit. CoRR abs/2201.10079 (2022) - [i100]Tan Yu, Gangming Zhao, Ping Li, Yizhou Yu:
BOAT: Bilateral Local Attention Vision Transformer. CoRR abs/2201.13027 (2022) - [i99]Yushuang Wu, Zizheng Yan, Shengcai Cai, Guanbin Li, Yizhou Yu, Xiaoguang Han, Shuguang Cui:
PointMatch: A Consistency Training Framework for Weakly SupervisedSemantic Segmentation of 3D Point Clouds. CoRR abs/2202.10705 (2022) - [i98]Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang:
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. CoRR abs/2203.09064 (2022) - [i97]Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo:
Scale-Equivalent Distillation for Semi-Supervised Object Detection. CoRR abs/2203.12244 (2022) - [i96]Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu:
Compound Domain Generalization via Meta-Knowledge Encoding. CoRR abs/2203.13006 (2022) - [i95]Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu:
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis. CoRR abs/2203.15347 (2022) - [i94]Chu-ran Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang:
Domain Invariant Model with Graph Convolutional Network for Mammogram Classification. CoRR abs/2204.09954 (2022) - [i93]Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu:
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection. CoRR abs/2206.02355 (2022) - [i92]Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu:
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. CoRR abs/2207.00251 (2022) - [i91]Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu:
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels. CoRR abs/2207.14476 (2022) - [i90]Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang:
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement. CoRR abs/2208.00453 (2022) - [i89]Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu:
Neighborhood Collective Estimation for Noisy Label Identification and Correction. CoRR abs/2208.03207 (2022) - [i88]Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu:
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis. CoRR abs/2208.09282 (2022) - [i87]Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu:
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective. CoRR abs/2209.13232 (2022) - [i86]Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu:
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. CoRR abs/2210.07571 (2022) - [i85]Jiansen Guo, Hong-Yu Zhou, Liansheng Wang, Yizhou Yu:
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture. CoRR abs/2210.15566 (2022) - [i84]Qianyu Guo, Hongtong Gong, Xujun Wei, Yanwei Fu, Weifeng Ge, Yizhou Yu, Wenqiang Zhang:
RankDNN: Learning to Rank for Few-shot Learning. CoRR abs/2211.15320 (2022) - [i83]Yinghong Liao, Wending Zhou, Xu Yan, Shuguang Cui, Yizhou Yu, Zhen Li:
Geometry-Aware Network for Domain Adaptive Semantic Segmentation. CoRR abs/2212.00920 (2022) - 2021
- [j96]Jianwei Xu, Ran Zhao, Yizhou Yu, Qingwei Zhang, Xianzhang Bian, Jun Wang, Zhizheng Ge, Dahong Qian:
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit. Biomed. Signal Process. Control. 66: 102503 (2021) - [j95]Dong Du, Heming Zhu, Yinyu Nie, Xiaoguang Han, Shuguang Cui, Yizhou Yu, Ligang Liu:
Learning Part Generation and Assembly for Sketching Man-Made Objects. Comput. Graph. Forum 40(1): 222-233 (2021) - [j94]Guanbin Li, Pengxiang Yan, Yuan Xie, Guisheng Wang, Liang Lin, Yizhou Yu:
Instance-level salient object segmentation. Comput. Vis. Image Underst. 207: 103207 (2021) - [j93]Le Fang, Yu Wu, Chuan Wu, Yizhou Yu:
A Nonintrusive Elderly Home Monitoring System. IEEE Internet Things J. 8(4): 2603-2614 (2021) - [j92]Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu:
Identification of pediatric respiratory diseases using a fine-grained diagnosis system. J. Biomed. Informatics 117: 103754 (2021) - [j91]Yuhang Liu, Changsheng Zhou, Fandong Zhang, Qianyi Zhang, Siwen Wang, Juan Zhou, Fugeng Sheng, Xiaoqi Wang, Wanhua Liu, Yizhou Wang, Yizhou Yu, Guangming Lu:
Compare and contrast: Detecting mammographic soft-tissue lesions with C2-Net. Medical Image Anal. 71: 101999 (2021) - [j90]Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu:
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation. Medical Image Anal. 72: 102117 (2021) - [j89]Qinmei Xu, Xianghao Zhan, Zhen Zhou, Yiheng Li, Peiyi Xie, Shu Zhang, Xiuli Li, Yizhou Yu, Changsheng Zhou, Longjiang Zhang, Olivier Gevaert, Guangming Lu:
AI-based analysis of CT images for rapid triage of COVID-19 patients. npj Digit. Medicine 4 (2021) - [j88]Sibei Yang, Guanbin Li, Yizhou Yu:
Relationship-Embedded Representation Learning for Grounding Referring Expressions. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2765-2779 (2021) - [j87]Dingwen Zhang, Guohai Huang, Qiang Zhang, Jungong Han, Junwei Han, Yizhou Yu:
Cross-modality deep feature learning for brain tumor segmentation. Pattern Recognit. 110: 107562 (2021) - [j86]Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu:
Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread. IEEE Trans. Cybern. 51(12): 6188-6199 (2021) - [j85]Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang:
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification. IEEE Trans. Image Process. 30: 7980-7994 (2021) - [j84]Qi Qi, Xin Lin, Chaoqi Chen, Weiping Xie, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images. IEEE J. Biomed. Health Informatics 25(4): 1163-1172 (2021) - [j83]Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu:
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation. IEEE Trans. Medical Imaging 40(8): 2042-2052 (2021) - [j82]Gangming Zhao, Chaowei Fang, Guanbin Li, Licheng Jiao, Yizhou Yu:
Contralaterally Enhanced Networks for Thoracic Disease Detection. IEEE Trans. Medical Imaging 40(9): 2428-2438 (2021) - [c108]Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu:
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation. CVPR 2021: 2505-2514 - [c107]Haoyu Ma, Xiangru Lin, Zifeng Wu, Yizhou Yu:
Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization. CVPR 2021: 4051-4060 - [c106]Haolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, Shuguang Cui:
Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images. CVPR 2021: 6032-6041 - [c105]Xiangru Lin, Guanbin Li, Yizhou Yu:
Scene-Intuitive Agent for Remote Embodied Visual Grounding. CVPR 2021: 7036-7045 - [c104]Sibei Yang, Meng Xia, Guanbin Li, Hong-Yu Zhou, Yizhou Yu:
Bottom-Up Shift and Reasoning for Referring Image Segmentation. CVPR 2021: 11266-11275 - [c103]Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. CVPR 2021: 12576-12585 - [c102]Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection. ICCV 2021: 2683-2692 - [c101]Gangming Zhao, Weifeng Ge, Yizhou Yu:
GraphFPN: Graph Feature Pyramid Network for Object Detection. ICCV 2021: 2743-2752 - [c100]Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu:
Multi-scale Matching Networks for Semantic Correspondence. ICCV 2021: 3334-3344 - [c99]Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu:
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts. ICCV 2021: 3479-3489 - [c98]Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, Yizhou Yu:
ME-PCN: Point Completion Conditioned on Mask Emptiness. ICCV 2021: 12468-12477 - [c97]Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu:
ConvNets vs. Transformers: Whose Visual Representations are More Transferable? ICCVW 2021: 2230-2238 - [c96]Zihao Li, Jiechao Ma, Shu Zhang, Yemin Shi, Junge Zhang, Kaiqi Huang, Yizhou Yu:
CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection. ICIP 2021: 91-95 - [c95]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Noise2Grad: Extract Image Noise to Denoise. IJCAI 2021: 830-836 - [c94]Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng:
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation. IPMI 2021: 452-464 - [c93]Haifan Gong, Guanqi Chen, Ranran Wang, Xiang Xie, Mingzhi Mao, Yizhou Yu, Fei Chen, Guanbin Li:
Multi-Task Learning For Thyroid Nodule Segmentation With Thyroid Region Prior. ISBI 2021: 257-261 - [c92]Mingzhou Liu, Fandong Zhang, Xinwei Sun, Yizhou Yu, Yizhou Wang:
CA-Net: Leveraging Contextual Features for Lung Cancer Prediction. MICCAI (5) 2021: 23-32 - [c91]Chu-ran Wang, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang:
DAE-GCN: Identifying Disease-Related Features for Disease Prediction. MICCAI (5) 2021: 43-52 - [c90]Liyan Sun, Hongyu Huang, Xinghao Ding, Yue Huang, Xiaoqing Liu, Yizhou Yu:
Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction. MICCAI (6) 2021: 97-106 - [c89]Ruifei Zhang, Sishuo Liu, Yizhou Yu, Guanbin Li:
Self-supervised Correction Learning for Semi-supervised Biomedical Image Segmentation. MICCAI (2) 2021: 134-144 - [c88]Yunlong Zhang, Chenxin Li, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Generator Versus Segmentor: Pseudo-healthy Synthesis. MICCAI (6) 2021: 150-160 - [c87]Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye:
Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. MICCAI (1) 2021: 186-195 - [c86]Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye:
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation. MICCAI (1) 2021: 196-205 - [c85]Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu:
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images. MICCAI (7) 2021: 432-441 - [c84]Haifan Gong, Guanqi Chen, Sishuo Liu, Yizhou Yu, Guanbin Li:
Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering. ICMR 2021: 456-460 - [i82]Haolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, Shuguang Cui:
Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images. CoRR abs/2103.07894 (2021) - [i81]Xiangru Lin, Guanbin Li, Yizhou Yu:
Scene-Intuitive Agent for Remote Embodied Visual Grounding. CoRR abs/2103.12944 (2021) - [i80]Haoyu Ma, Xiangru Lin, Zifeng Wu, Yizhou Yu:
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization. CoRR abs/2103.13041 (2021) - [i79]Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. CoRR abs/2103.13757 (2021) - [i78]Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng:
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation. CoRR abs/2103.16344 (2021) - [i77]Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu:
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation. CoRR abs/2104.09415 (2021) - [i76]Jie Lian, Jingyu Liu, Shu Zhang, Kai Gao, Xiaoqing Liu, Dingwen Zhang, Yizhou Yu:
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation. CoRR abs/2104.10326 (2021) - [i75]Haifan Gong, Guanqi Chen, Sishuo Liu, Yizhou Yu, Guanbin Li:
Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering. CoRR abs/2105.00136 (2021) - [i74]Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu:
Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection. CoRR abs/2105.10160 (2021) - [i73]Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation. CoRR abs/2105.14732 (2021) - [i72]Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu:
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation. CoRR abs/2106.01544 (2021) - [i71]Chenxin Li, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu:
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation. CoRR abs/2106.06908 (2021) - [i70]Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu:
Multi-scale Matching Networks for Semantic Correspondence. CoRR abs/2108.00211 (2021) - [i69]Gangming Zhao, Weifeng Ge, Yizhou Yu:
GraphFPN: Graph Feature Pyramid Network for Object Detection. CoRR abs/2108.00580 (2021) - [i68]Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu:
ConvNets vs. Transformers: Whose Visual Representations are More Transferable? CoRR abs/2108.05305 (2021) - [i67]Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye:
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation. CoRR abs/2108.06883 (2021) - [i66]Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, Yizhou Yu:
ME-PCN: Point Completion Conditioned on Mask Emptiness. CoRR abs/2108.08187 (2021) - [i65]Gang Yu, Zhongzhi Yu, Yemin Shi, Yingshuo Wang, Xiaoqing Liu, Zheming Li, Yonggen Zhao, Fenglei Sun, Yizhou Yu, Qiang Shu:
Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System. CoRR abs/2108.10818 (2021) - [i64]Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, Yizhou Yu:
nnFormer: Interleaved Transformer for Volumetric Segmentation. CoRR abs/2109.03201 (2021) - [i63]Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu:
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts. CoRR abs/2109.04379 (2021) - [i62]Mingzhou Liu, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang:
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition. CoRR abs/2110.04042 (2021) - [i61]Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu:
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images. CoRR abs/2110.05039 (2021) - [i60]Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, Ruibang Luo, Liansheng Wang, Yizhou Yu:
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports. CoRR abs/2111.03452 (2021) - 2020
- [j81]Xiao Song, Xu Zhao, Liangji Fang, Hanwen Hu, Yizhou Yu:
EdgeStereo: An Effective Multi-task Learning Network for Stereo Matching and Edge Detection. Int. J. Comput. Vis. 128(4): 910-930 (2020) - [j80]Haofeng Li, Guanbin Li, Yizhou Yu:
ROSA: Robust Salient Object Detection Against Adversarial Attacks. IEEE Trans. Cybern. 50(11): 4835-4847 (2020) - [j79]Chaowei Fang, Guanbin Li, Xiaoguang Han, Yizhou Yu:
Self-Enhanced Convolutional Network for Facial Video Hallucination. IEEE Trans. Image Process. 29: 3078-3090 (2020) - [j78]Mengyang Feng, Huchuan Lu, Yizhou Yu:
Residual Learning for Salient Object Detection. IEEE Trans. Image Process. 29: 4696-4708 (2020) - [j77]Dingwen Zhang, Guohai Huang, Qiang Zhang, Jungong Han, Junwei Han, Yizhou Wang, Yizhou Yu:
Exploring Task Structure for Brain Tumor Segmentation From Multi-Modality MR Images. IEEE Trans. Image Process. 29: 9032-9043 (2020) - [j76]Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu:
Online Alternate Generator Against Adversarial Attacks. IEEE Trans. Image Process. 29: 9305-9315 (2020) - [j75]Xiaoguang Han, Kangcheng Hou, Dong Du, Yuda Qiu, Shuguang Cui, Kun Zhou, Yizhou Yu:
CaricatureShop: Personalized and Photorealistic Caricature Sketching. IEEE Trans. Vis. Comput. Graph. 26(7): 2349-2361 (2020) - [j74]Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song:
Neural Style Transfer: A Review. IEEE Trans. Vis. Comput. Graph. 26(11): 3365-3385 (2020) - [c83]Yuhang Liu, Fandong Zhang, Qianyi Zhang, Siwen Wang, Yizhou Wang, Yizhou Yu:
Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection. CVPR 2020: 3811-3821 - [c82]Sibei Yang, Guanbin Li, Yizhou Yu:
Graph-Structured Referring Expression Reasoning in the Wild. CVPR 2020: 9949-9958 - [c81]Sibei Yang, Guanbin Li, Yizhou Yu:
Propagating Over Phrase Relations for One-Stage Visual Grounding. ECCV (19) 2020: 589-605 - [c80]Shukai Wu, Lifeng Yan, Xiaoqing Liu, Yizhou Yu, Sanyuan Zhang:
An End-To-End Network For Detecting Multi-Domain Fractures On X-Ray Images. ICIP 2020: 448-452 - [c79]Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang:
Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation. ISBI 2020: 772-776 - [c78]Xiaoqian Wang, Qianyi Zhang, Zhen Zhou, Feng Liu, Yizhou Yu, Yizhou Wang, Wen Gao:
Evaluating Multi-Class Segmentation Errors with Anatomical Priors. ISBI 2020: 953-956 - [c77]Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu:
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction. MICCAI (6) 2020: 24-34 - [c76]Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang:
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. MICCAI (7) 2020: 208-217 - [c75]Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu:
Adaptive Context Selection for Polyp Segmentation. MICCAI (6) 2020: 253-262 - [c74]Qiuyue Liu, Zhen Zhou, Feng Liu, Xiangming Fang, Yizhou Yu, Yizhou Wang:
Multi-stream Progressive Up-Sampling Network for Dense CT Image Reconstruction. MICCAI (6) 2020: 518-528 - [c73]Shu Zhang, Jincheng Xu, Yu-Chun Chen, Jiechao Ma, Zihao Li, Yizhou Wang, Yizhou Yu:
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices. MICCAI (4) 2020: 542-551 - [c72]Ping Gong, Zihao Yin, Yizhou Wang, Yizhou Yu:
Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity. MICCAI (6) 2020: 621-630 - [c71]Chu-ran Wang, Fandong Zhang, Yizhou Yu, Yizhou Wang:
BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification. MICCAI (2) 2020: 657-666 - [i59]Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu:
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread. CoRR abs/2001.08057 (2020) - [i58]Runmin Wu, Kunyao Zhang, Lijun Wang, Yue Wang, Huchuan Lu, Yizhou Yu:
When Relation Networks meet GANs: Relation GANs with Triplet Loss. CoRR abs/2002.10174 (2020) - [i57]Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang:
Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation. CoRR abs/2002.11918 (2020) - [i56]Zhongzhi Yu, Yemin Shi, Tiejun Huang, Yizhou Yu:
Kernel Quantization for Efficient Network Compression. CoRR abs/2003.05148 (2020) - [i55]Sibei Yang, Guanbin Li, Yizhou Yu:
Graph-Structured Referring Expression Reasoning in The Wild. CoRR abs/2004.08814 (2020) - [i54]Jingyu Liu, Jie Lian, Yizhou Yu:
ChestX-Det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities. CoRR abs/2006.10550 (2020) - [i53]Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang:
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. CoRR abs/2007.05393 (2020) - [i52]Yunlong Zhang, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Generator Versus Segmentor: Pseudo-healthy Synthesis. CoRR abs/2009.05722 (2020) - [i51]Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu:
Online Alternate Generator against Adversarial Attacks. CoRR abs/2009.08110 (2020) - [i50]Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang:
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification. CoRR abs/2009.14406 (2020) - [i49]Yicheng Wu, Chengwei Pan, Shuqi Wang, Ming Zhang, Yong Xia, Yizhou Yu:
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation. CoRR abs/2010.04428 (2020) - [i48]Gangming Zhao, Chaowei Fang, Guanbin Li, Licheng Jiao, Yizhou Yu:
Contralaterally Enhanced Networks for Thoracic Disease Detection. CoRR abs/2010.04483 (2020) - [i47]Jie Lian, Jingyu Liu, Yizhou Yu, Mengyuan Ding, Yaoci Lu, Yi Lu, Jie Cai, Deshou Lin, Miao Zhang, Zhe Wang, Kai He, Yijie Yu:
The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results. CoRR abs/2010.10298 (2020) - [i46]Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision. CoRR abs/2010.12219 (2020) - [i45]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Yizhou Yu, Xiaoqing Liu, John W. Paisley:
Adaptive noise imitation for image denoising. CoRR abs/2011.14512 (2020) - [i44]Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding. CoRR abs/2012.05440 (2020) - [i43]Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu:
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction. CoRR abs/2012.07262 (2020) - [i42]Shu Zhang, Jincheng Xu, Yu-Chun Chen, Jiechao Ma, Zihao Li, Yizhou Wang, Yizhou Yu:
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices. CoRR abs/2012.08770 (2020)
2010 – 2019
- 2019
- [j73]Wei Zhang, Guanbin Li, Haoyu Ma, Yizhou Yu:
Automatic Color Sketch Generation Using Deep Style Transfer. IEEE Computer Graphics and Applications 39(2): 26-37 (2019) - [j72]Chaowei Fang, Zicheng Liao, Yizhou Yu:
Piecewise Flat Embedding for Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1470-1485 (2019) - [j71]Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, Yizhou Yu:
Context-Aware Semantic Inpainting. IEEE Trans. Cybern. 49(12): 4398-4411 (2019) - [j70]Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu:
A Benchmark for Edge-Preserving Image Smoothing. IEEE Trans. Image Process. 28(7): 3556-3570 (2019) - [j69]Yan Tian, Judith Gelernter, Xun Wang, Jianyuan Li, Yizhou Yu:
Traffic Sign Detection Using a Multi-Scale Recurrent Attention Network. IEEE Trans. Intell. Transp. Syst. 20(12): 4466-4475 (2019) - [j68]Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin:
Facial Landmark Machines: A Backbone-Branches Architecture With Progressive Representation Learning. IEEE Trans. Multim. 21(9): 2248-2262 (2019) - [j67]Kan Wu, Guanbin Li, Haofeng Li, Jian-Jun Zhang, Yizhou Yu:
Harvesting Visual Objects from Internet Images via Deep-Learning-Based Objectness Assessment. ACM Trans. Multim. Comput. Commun. Appl. 15(3): 72:1-72:23 (2019) - [c70]Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu:
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks. AAAI 2019: 8417-8424 - [c69]Weifeng Ge, Xiangru Lin, Yizhou Yu:
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up. CVPR 2019: 3034-3043 - [c68]Sibei Yang, Guanbin Li, Yizhou Yu:
Cross-Modal Relationship Inference for Grounding Referring Expressions. CVPR 2019: 4145-4154 - [c67]Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu:
Multi-Source Weak Supervision for Saliency Detection. CVPR 2019: 6074-6083 - [c66]Fandong Zhang, Ling Luo, Xinwei Sun, Zhen Zhou, Xiuli Li, Yizhou Yu, Yizhou Wang:
Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms. CVPR 2019: 12578-12586 - [c65]Sibei Yang, Guanbin Li, Yizhou Yu:
Dynamic Graph Attention for Referring Expression Comprehension. ICCV 2019: 4643-4652 - [c64]Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu:
Motion Guided Attention for Video Salient Object Detection. ICCV 2019: 7273-7282 - [c63]Jingyu Liu, Gangming Zhao, Yu Fei, Ming Zhang, Yizhou Wang, Yizhou Yu:
Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision. ICCV 2019: 10631-10640 - [c62]Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu:
MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection. MICCAI (6) 2019: 13-21 - [c61]Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu:
Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation. MICCAI (2) 2019: 210-218 - [c60]Huai Chen, Xiuying Wang, Yijie Huang, Xiyi Wu, Yizhou Yu, Lisheng Wang:
Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images. MICCAI (6) 2019: 339-347 - [c59]Yuhang Liu, Zhen Zhou, Shu Zhang, Ling Luo, Qianyi Zhang, Fandong Zhang, Xiuli Li, Yizhou Wang, Yizhou Yu:
From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network. MICCAI (6) 2019: 477-485 - [c58]Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, Huiying Liang:
Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs. MICCAI (6) 2019: 594-602 - [c57]Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao:
Transductive Zero-Shot Learning with Visual Structure Constraint. NeurIPS 2019: 9972-9982 - [i41]Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao:
Transductive Zero-Shot Learning with Visual Structure Constraint. CoRR abs/1901.01570 (2019) - [i40]Weifeng Ge, Xiangru Lin, Yizhou Yu:
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up. CoRR abs/1903.02827 (2019) - [i39]Huikai Wu, Junge Zhang, Kaiqi Huang, Kongming Liang, Yizhou Yu:
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation. CoRR abs/1903.11816 (2019) - [i38]Yu Zeng, Yun-Zhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu:
Multi-source weak supervision for saliency detection. CoRR abs/1904.00566 (2019) - [i37]Kan Wu, Guanbin Li, Haofeng Li, Jian-Jun Zhang, Yizhou Yu:
Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment. CoRR abs/1904.00641 (2019) - [i36]Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu:
A Benchmark for Edge-Preserving Image Smoothing. CoRR abs/1904.01579 (2019) - [i35]Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu:
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks. CoRR abs/1904.12181 (2019) - [i34]Haofeng Li, Guanbin Li, Yizhou Yu:
ROSA: Robust Salient Object Detection against Adversarial Attacks. CoRR abs/1905.03434 (2019) - [i33]Sibei Yang, Guanbin Li, Yizhou Yu:
Cross-Modal Relationship Inference for Grounding Referring Expressions. CoRR abs/1906.04464 (2019) - [i32]Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu:
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection. CoRR abs/1909.04247 (2019) - [i31]Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu:
Motion Guided Attention for Video Salient Object Detection. CoRR abs/1909.07061 (2019) - [i30]Sibei Yang, Guanbin Li, Yizhou Yu:
Dynamic Graph Attention for Referring Expression Comprehension. CoRR abs/1909.08164 (2019) - [i29]Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu:
Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation. CoRR abs/1911.10360 (2019) - [i28]Chaowei Fang, Guanbin Li, Xiaoguang Han, Yizhou Yu:
Self-Enhanced Convolutional Network for Facial Video Hallucination. CoRR abs/1911.11136 (2019) - 2018
- [j66]Kan Wu, Yizhou Yu:
Automatic object extraction from images using deep neural networks and the level-set method. IET Image Process. 12(7): 1131-1141 (2018) - [j65]Sheng Wang, Zhen Li, Yizhou Yu, Xin Gao:
WaveNano: a signal-level nanopore base-caller via simultaneous prediction of nucleotide labels and move labels through bi-directional WaveNets. Quant. Biol. 6(4): 359-368 (2018) - [j64]Yujing Sun, Yizhou Yu, Wenping Wang:
Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks. IEEE Trans. Image Process. 27(8): 4160-4172 (2018) - [j63]Guanbin Li, Yizhou Yu:
Contrast-Oriented Deep Neural Networks for Salient Object Detection. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6038-6051 (2018) - [j62]Weifeng Ge, Bingchen Gong, Yizhou Yu:
Image super-resolution via deterministic-stochastic synthesis and local statistical rectification. ACM Trans. Graph. 37(6): 260 (2018) - [c56]Chang Gao, Derun Gu, Fangjun Zhang, Yizhou Yu:
ReCoNet: Real-Time Coherent Video Style Transfer Network. ACCV (6) 2018: 637-653 - [c55]Lingbo Liu, Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu:
Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning. BigMM 2018: 1-8 - [c54]Weifeng Ge, Sibei Yang, Yizhou Yu:
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning. CVPR 2018: 1277-1286 - [c53]Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, Mingli Song:
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. ECCV (13) 2018: 244-260 - [i27]Chaowei Fang, Zicheng Liao, Yizhou Yu:
Piecewise Flat Embedding for Image Segmentation. CoRR abs/1802.03248 (2018) - [i26]Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Mingli Song:
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. CoRR abs/1802.07101 (2018) - [i25]Weifeng Ge, Sibei Yang, Yizhou Yu:
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning. CoRR abs/1802.09129 (2018) - [i24]Guanbin Li, Yizhou Yu:
Contrast-Oriented Deep Neural Networks for Salient Object Detection. CoRR abs/1803.11395 (2018) - [i23]Yujing Sun, Yizhou Yu, Wenping Wang:
Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks. CoRR abs/1805.02996 (2018) - [i22]Chang Gao, Derun Gu, Fangjun Zhang, Yizhou Yu:
ReCoNet: Real-time Coherent Video Style Transfer Network. CoRR abs/1807.01197 (2018) - [i21]Xiaoguang Han, Kangcheng Hou, Dong Du, Yuda Qiu, Yizhou Yu, Kun Zhou, Shuguang Cui:
CaricatureShop: Personalized and Photorealistic Caricature Sketching. CoRR abs/1807.09064 (2018) - [i20]Weifeng Ge, Bingchen Gong, Yizhou Yu:
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification. CoRR abs/1809.06557 (2018) - [i19]Feida Zhu, Yizhou Yu:
Automatic Image Stylization Using Deep Fully Convolutional Networks. CoRR abs/1811.10872 (2018) - [i18]Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin:
Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning. CoRR abs/1812.03887 (2018) - 2017
- [j61]Guanbin Li, Sai Bi, Jue Wang, Yingqing Xu, Yizhou Yu:
ColorSketch: A Drawing Assistant for Generating Color Sketches from Photos. IEEE Computer Graphics and Applications 37(3): 70-81 (2017) - [j60]Niloy J. Mitra, Yizhou Yu, Ming-Ming Cheng:
Editorial Special issue on the fifth Computational Visual Media conference (CVM 2017). Graph. Model. 91: 12 (2017) - [j59]Xiaoguang Han, Hongchuan Yu, Yizhou Yu, Jian-Jun Zhang:
A fast propagation scheme for approximate geodesic paths. Graph. Model. 91: 22-29 (2017) - [j58]Shi-Min Hu, Niloy J. Mitra, Yizhou Yu:
Preface. J. Comput. Sci. Technol. 32(3): 415-416 (2017) - [j57]Feida Zhu, Zhicheng Yan, Jiajun Bu, Yizhou Yu:
Exemplar-Based Image and Video Stylization Using Fully Convolutional Semantic Features. IEEE Trans. Image Process. 26(7): 3542-3555 (2017) - [j56]Xiaoguang Han, Chang Gao, Yizhou Yu:
DeepSketch2Face: a deep learning based sketching system for 3D face and caricature modeling. ACM Trans. Graph. 36(4): 126:1-126:12 (2017) - [j55]Wenguan Wang, Jianbing Shen, Yizhou Yu, Kwan-Liu Ma:
Stereoscopic Thumbnail Creation via Efficient Stereo Saliency Detection. IEEE Trans. Vis. Comput. Graph. 23(8): 2014-2027 (2017) - [c52]Weifeng Ge, Yizhou Yu:
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning. CVPR 2017: 10-19 - [c51]Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu:
Instance-Level Salient Object Segmentation. CVPR 2017: 247-256 - [c50]Xiaoguang Han, Zhen Li, Haibin Huang, Evangelos Kalogerakis, Yizhou Yu:
High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference. ICCV 2017: 85-93 - [c49]Zhen Li, Sheng Wang, Yizhou Yu, Jinbo Xu:
Folding Membrane Proteins by Deep Transfer Learning. RECOMB 2017: 380-382 - [i17]Weifeng Ge, Yizhou Yu:
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning. CoRR abs/1702.08690 (2017) - [i16]Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu:
Instance-Level Salient Object Segmentation. CoRR abs/1704.03604 (2017) - [i15]Zhen Li, Sheng Wang, Yizhou Yu, Jinbo Xu:
Predicting membrane protein contacts from non-membrane proteins by deep transfer learning. CoRR abs/1704.07207 (2017) - [i14]Xiaoguang Han, Chang Gao, Yizhou Yu:
DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling. CoRR abs/1706.02042 (2017) - [i13]Sheng Wang, Zhen Li, Yizhou Yu, Jinbo Xu:
Folding membrane proteins by deep transfer learning. CoRR abs/1708.08407 (2017) - [i12]Xiaoguang Han, Zhen Li, Haibin Huang, Evangelos Kalogerakis, Yizhou Yu:
High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference. CoRR abs/1709.07599 (2017) - [i11]Haofeng Li, Guanbin Li, Liang Lin, Yizhou Yu:
Context-Aware Semantic Inpainting. CoRR abs/1712.07778 (2017) - 2016
- [j54]Xiaoguang Han, Kwan-Yee K. Wong, Yizhou Yu:
3D Human Model Reconstruction from Sparse Uncalibrated Views. IEEE Computer Graphics and Applications 36(6): 46-56 (2016) - [j53]Guanbin Li, Yizhou Yu:
Visual Saliency Detection Based on Multiscale Deep CNN Features. IEEE Trans. Image Process. 25(11): 5012-5024 (2016) - [j52]Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu:
Automatic Photo Adjustment Using Deep Neural Networks. ACM Trans. Graph. 35(2): 11:1-11:15 (2016) - [j51]Yipeng Qin, Xiaoguang Han, Hongchuan Yu, Yizhou Yu, Jian-Jun Zhang:
Fast and exact discrete geodesic computation based on triangle-oriented wavefront propagation. ACM Trans. Graph. 35(4): 125:1-125:13 (2016) - [j50]Feng Sun, Yi-King Choi, Yizhou Yu, Wenping Wang:
Medial Meshes - A Compact and Accurate Representation of Medial Axis Transform. IEEE Trans. Vis. Comput. Graph. 22(3): 1278-1290 (2016) - [j49]Wenchao Hu, Zhonggui Chen, Hao Pan, Yizhou Yu, Eitan Grinspun, Wenping Wang:
Surface Mosaic Synthesis with Irregular Tiles. IEEE Trans. Vis. Comput. Graph. 22(3): 1302-1313 (2016) - [j48]Jianbo Ye, Yizhou Yu:
A fast modal space transform for robust nonrigid shape retrieval. Vis. Comput. 32(5): 553-568 (2016) - [c48]Guanbin Li, Yizhou Yu:
Deep Contrast Learning for Salient Object Detection. CVPR 2016: 478-487 - [c47]Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin:
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling. ECCV (2) 2016: 541-557 - [c46]Zhen Li, Yizhou Yu:
Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks. IJCAI 2016: 2560-2567 - [i10]Guanbin Li, Yizhou Yu:
Deep Contrast Learning for Salient Object Detection. CoRR abs/1603.01976 (2016) - [i9]Zhicheng Yan, Hao Zhang, Yangqing Jia, Thomas M. Breuel, Yizhou Yu:
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation. CoRR abs/1603.04871 (2016) - [i8]Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin:
RGB-D Scene Labeling with Long Short-Term Memorized Fusion Model. CoRR abs/1604.05000 (2016) - [i7]Zhen Li, Yizhou Yu:
Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks. CoRR abs/1604.07176 (2016) - [i6]Guanbin Li, Yizhou Yu:
Visual Saliency Detection Based on Multiscale Deep CNN Features. CoRR abs/1609.02077 (2016) - 2015
- [j47]Guangmei Jing, Yongtao Hu, Yanwen Guo, Yizhou Yu, Wenping Wang:
Content-Aware Video2Comics With Manga-Style Layout. IEEE Trans. Multim. 17(12): 2122-2133 (2015) - [j46]Zicheng Liao, Yizhou Yu, Bingchen Gong, Lechao Cheng:
audeosynth: music-driven video montage. ACM Trans. Graph. 34(4): 68:1-68:10 (2015) - [j45]Sai Bi, Xiaoguang Han, Yizhou Yu:
An L1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition. ACM Trans. Graph. 34(4): 78:1-78:12 (2015) - [j44]Kang Chen, Kun Xu, Yizhou Yu, Tian-Yi Wang, Shi-Min Hu:
Magic decorator: automatic material suggestion for indoor digital scenes. ACM Trans. Graph. 34(6): 232:1-232:11 (2015) - [c45]Guanbin Li, Yizhou Yu:
Visual saliency based on multiscale deep features. CVPR 2015: 5455-5463 - [c44]Ruobing Wu, Baoyuan Wang, Wenping Wang, Yizhou Yu:
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification. ICCV 2015: 1287-1295 - [c43]Yizhou Yu, Chaowei Fang, Zicheng Liao:
Piecewise Flat Embedding for Image Segmentation. ICCV 2015: 1368-1376 - [c42]Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Yizhou Yu:
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition. ICCV 2015: 2740-2748 - [c41]Yuan Liu, Shangqi Lai, Tianyi Du, Yizhou Yu:
Hybrid superpixel segmentation. IVCNZ 2015: 1-6 - [i5]Guanbin Li, Yizhou Yu:
Visual Saliency Based on Multiscale Deep Features. CoRR abs/1503.08663 (2015) - [i4]Ruobing Wu, Baoyuan Wang, Wenping Wang, Yizhou Yu:
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification. CoRR abs/1510.01440 (2015) - 2014
- [j43]Yongtao Hu, Jan Kautz, Yizhou Yu, Wenping Wang:
Speaker-Following Video Subtitles. ACM Trans. Multim. Comput. Commun. Appl. 11(2): 32:1-32:17 (2014) - [j42]Ruobing Wu, Wenping Wang, Yizhou Yu:
Optimized Synthesis of Art Patterns and Layered Textures. IEEE Trans. Vis. Comput. Graph. 20(3): 436-446 (2014) - [c40]Yuwang Wang, Baoyuan Wang, Yizhou Yu, Qionghai Dai, Zhuowen Tu:
Action-Gons: Action Recognition with a Discriminative Dictionary of Structured Elements with Varying Granularity. ACCV (5) 2014: 259-274 - [i3]Yongtao Hu, Jan Kautz, Yizhou Yu, Wenping Wang:
Speaker-following Video Subtitles. CoRR abs/1407.5145 (2014) - [i2]Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu:
Automatic Photo Adjustment Using Deep Learning. CoRR abs/1412.7725 (2014) - 2013
- [j41]Hanqi Fan, Qunsheng Peng, Yizhou Yu:
A robust high-resolution details preserving denoising algorithm for meshes. Sci. China Inf. Sci. 56(9): 1-12 (2013) - [j40]Zhengzheng Kuang, Bin Chan, Yizhou Yu, Wenping Wang:
A compact random-access representation for urban modeling and rendering. ACM Trans. Graph. 32(6): 172:1-172:12 (2013) - [c39]Ruobing Wu, Yizhou Yu, Wenping Wang:
SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors. CVPR 2013: 867-874 - [c38]Zhicheng Yan, Yizhou Yu:
Sparse similarity matrix learning for visual object retrieval. IJCNN 2013: 1-8 - [c37]Jianbo Ye, Zhicheng Yan, Yizhou Yu:
Fast nonrigid 3D retrieval using modal space transform. ICMR 2013: 121-126 - [c36]Ruobing Wu, Wenping Wang, Yizhou Yu:
Example-based art pattern synthesis using level sets. SIGGRAPH ASIA Technical Briefs 2013: 6:1-6:4 - [c35]Yugang Liu, Yizhou Yu:
Medical Volume Segmentation based on Level Sets of Probabilities. VISAPP (1) 2013: 387-394 - [c34]Shibo Gao, Yizhou Yu, Yongmei Cheng:
Linear Subspace Learning based on a Learned Discriminative Dictionary for Sparse Coding. VISAPP (1) 2013: 530-538 - [e2]Jinxiang Chai, Yizhou Yu, Theodore Kim, Robert W. Sumner:
The ACM SIGGRAPH / Eurographics Symposium on Computer Animation, SCA '13, Anaheim, CA, USA, July 19-21, 2013. ACM 2013, ISBN 978-1-4503-2132-7 [contents] - [e1]Yizhou Yu:
SIGGRAPH Asia 2013, Hong Kong, China, November 19-22, 2013, Courses. ACM 2013, ISBN 978-1-4503-2631-5 [contents] - [i1]Feng Sun, Yi-King Choi, Yizhou Yu, Wenping Wang:
Medial Meshes for Volume Approximation. CoRR abs/1308.3917 (2013) - 2012
- [j39]Baoyuan Wang, Yizhou Yu:
Parallel H-Tree Based Data Cubing on Graphics Processors. Int. J. Softw. Informatics 6(1): 61-87 (2012) - [j38]Zhan Yuan, Yizhou Yu, Wenping Wang:
Object-space multiphase implicit functions. ACM Trans. Graph. 31(4): 114:1-114:10 (2012) - [j37]Menglei Chai, Lvdi Wang, Yanlin Weng, Yizhou Yu, Baining Guo, Kun Zhou:
Single-view hair modeling for portrait manipulation. ACM Trans. Graph. 31(4): 116:1-116:8 (2012) - [j36]Yugang Liu, Yizhou Yu:
Interactive Image Segmentation Based on Level Sets of Probabilities. IEEE Trans. Vis. Comput. Graph. 18(2): 202-213 (2012) - [j35]Hao-Da Huang, KangKang Yin, Ling Zhao, Yue Qi, Yizhou Yu, Xin Tong:
Detail-Preserving Controllable Deformation from Sparse Examples. IEEE Trans. Vis. Comput. Graph. 18(8): 1215-1227 (2012) - [j34]Zicheng Liao, Hugues Hoppe, David A. Forsyth, Yizhou Yu:
A Subdivision-Based Representation for Vector Image Editing. IEEE Trans. Vis. Comput. Graph. 18(11): 1858-1867 (2012) - [c33]Hanqi Fan, Qunsheng Peng, Yizhou Yu:
A Robust Algorithm for Denoising Meshes with High-Resolution Details. CVM 2012: 75-82 - [c32]Zhanghui Kuang, Dirk Schnieders, Hao Zhou, Kwan-Yee Kenneth Wong, Yizhou Yu, Bo Peng:
Learning image-specific parameters for interactive segmentation. CVPR 2012: 590-597 - [c31]Siming Wei, Yizhou Yu:
Subspace segmentation with a Minimal Squared Frobenius Norm Representation. ICPR 2012: 3509-3512 - 2011
- [j33]Yue Xie, Wei-wei Xu, Yizhou Yu, Yanlin Weng:
New Technique: Sketch-based rotation editing. J. Zhejiang Univ. Sci. C 12(11): 867-872 (2011) - [j32]Yugang Liu, Leiting Chen, Yizhou Yu:
Diffusion Kurtosis Imaging Based on Adaptive Spherical Integral. IEEE Signal Process. Lett. 18(4): 243-246 (2011) - [j31]Baoyuan Wang, Yizhou Yu, Ying-Qing Xu:
Example-based image color and tone style enhancement. ACM Trans. Graph. 30(4): 64 (2011) - [j30]Lvdi Wang, Yizhou Yu, Kun Zhou, Baining Guo:
Multiscale vector volumes. ACM Trans. Graph. 30(6): 167 (2011) - [c30]Hao-Da Huang, Ling Zhao, KangKang Yin, Yue Qi, Yizhou Yu, Xin Tong:
Controllable Hand Deformation from Sparse Examples with Rich Details. Symposium on Computer Animation 2011: 73-82 - [c29]Yugang Liu, Yizhou Yu:
Interactive 2D and volume image segmentation using level sets of probabilities. SIGGRAPH Asia Sketches 2011: 43:1-43:2 - 2010
- [j29]Wei-Wen Feng, Byung-Uck Kim, Yizhou Yu, Liang Peng, John Hart:
Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes. ACM Trans. Graph. 29(2): 11:1-11:13 (2010) - [j28]Lvdi Wang, Kun Zhou, Yizhou Yu, Baining Guo:
Vector solid textures. ACM Trans. Graph. 29(4): 86:1-86:8 (2010) - [j27]Wei-Wen Feng, Yizhou Yu, Byung-Uck Kim:
A deformation transformer for real-time cloth animation. ACM Trans. Graph. 29(4): 108:1-108:9 (2010) - [j26]Baoyuan Wang, Yizhou Yu, Tien-Tsin Wong, Chun Chen, Ying-Qing Xu:
Data-driven image color theme enhancement. ACM Trans. Graph. 29(6): 146 (2010) - [j25]Hanqi Fan, Yizhou Yu, Qunsheng Peng:
Robust Feature-Preserving Mesh Denoising Based on Consistent Subneighborhoods. IEEE Trans. Vis. Comput. Graph. 16(2): 312-324 (2010) - [j24]Tian Xia, Qing Wu, Chun Chen, Yizhou Yu:
Lazy texture selection based on active learning. Vis. Comput. 26(3): 157-169 (2010) - [j23]Byung-Uck Kim, Wei-Wei Feng, Yizhou Yu:
Real-time data driven deformation with affine bones. Vis. Comput. 26(6-8): 487-495 (2010) - [j22]Byung-Uck Kim, Wei-Wen Feng, Yizhou Yu:
Erratum to: Real-time data driven deformation with affine bones. Vis. Comput. 26(9): 1241 (2010) - [c28]Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou Yu:
Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation. ICIP 2010: 65-68 - [c27]Tian Xia, Yizhou Yu, Jing Hua:
Automatic detection of malignant prostatic gland units in cross-sectional microscopic images. ICIP 2010: 1057-1060 - [c26]Yugang Liu, Siming Wei, Quan Jiang, Yizhou Yu:
Reconstructing diffusion kurtosis tensors from sparse noisy measurements. ICIP 2010: 4185-4188 - [c25]Zicheng Liao, Yizhou Yu, Baoquan Chen:
Anomaly detection in GPS data based on visual analytics. IEEE VAST 2010: 51-58 - [c24]Baoyuan Wang, Gang Chen, Jiajun Bu, Yizhou Yu:
Multiscale Visualization of Relational Databases using Layered Zoom Trees and Partial Data Cubes. IMAGAPP/IVAPP 2010: 101-111 - [c23]Baoyuan Wang, Gang Chen, Jiajun Bu, Yizhou Yu:
ZoomTree: Unrestricted Zoom Paths in Multiscale Visual Analysis of Relational Databases. VISIGRAPP (Selected Papers) 2010: 299-317
2000 – 2009
- 2009
- [j21]Lvdi Wang, Yizhou Yu, Kun Zhou, Baining Guo:
Example-based hair geometry synthesis. ACM Trans. Graph. 28(3): 56 (2009) - [j20]Tian Xia, Binbin Liao, Yizhou Yu:
Patch-based image vectorization with automatic curvilinear feature alignment. ACM Trans. Graph. 28(5): 115 (2009) - [c22]Yizhou Yu:
Hierarchical and wavelet-based multilinear models for multi-dimensional visual data approximation. CAD/Graphics 2009: 28-29 - 2008
- [j19]Jiayi Xu, Xiaogang Jin, Yizhou Yu, Tian Shen, Mingdong Zhou:
Shape-constrained flock animation. Comput. Animat. Virtual Worlds 19(3-4): 319-330 (2008) - [j18]Wei-Wen Feng, Byung-Uck Kim, Yizhou Yu:
Real-time data driven deformation using kernel canonical correlation analysis. ACM Trans. Graph. 27(3): 91 (2008) - [j17]Qing Wu, Tian Xia, Chun Chen, Hsueh-Yi Sean Lin, Hongcheng Wang, Yizhou Yu:
Hierarchical Tensor Approximation of Multi-Dimensional Visual Data. IEEE Trans. Vis. Comput. Graph. 14(1): 186-199 (2008) - [c21]Qing Wu, Chun Chen, Yizhou Yu:
Wavelet-based hybrid multilinear models for multidimensional image approximation. ICIP 2008: 2828-2831 - 2007
- [j16]Weiwei Xu, Kun Zhou, Yizhou Yu, Qifeng Tan, Qunsheng Peng, Baining Guo:
Gradient domain editing of deforming mesh sequences. ACM Trans. Graph. 26(3): 84 (2007) - [c20]Qing Wu, Tian Xia, Yizhou Yu:
Hierarchical Tensor Approximation of Multidimensional Images. ICIP (4) 2007: 49-52 - [c19]Yizhou Yu:
Laplacian Guided Editing, Synthesis, and Simulation. PG 2007: 5 - [c18]Yuntao Jia, Wei-Wen Feng, Yizhou Yu:
Transplanting and Editing Animations on Skinned Meshes. PG 2007: 431-434 - [c17]Wei-Wen Feng, Liang Peng, Yuntao Jia, Yizhou Yu:
Large-Scale Data Management for PRT-Based Real-Time Rendering of Dynamically Skinned Models. Rendering Techniques 2007: 23-34 - 2006
- [j15]Lin Shi, Yizhou Yu, Nathan Bell, Wei-Wen Feng:
A fast multigrid algorithm for mesh deformation. ACM Trans. Graph. 25(3): 1108-1117 (2006) - 2005
- [j14]Yizhou Yu, Johnny T. Chang:
Shadow Graphs and 3D Texture Reconstruction. Int. J. Comput. Vis. 62(1-2): 35-60 (2005) - [j13]Lin Shi, Yizhou Yu:
Controllable smoke animation with guiding objects. ACM Trans. Graph. 24(1): 140-164 (2005) - [j12]Hongcheng Wang, Qing Wu, Lin Shi, Yizhou Yu, Narendra Ahuja:
Out-of-core tensor approximation of multi-dimensional matrices of visual data. ACM Trans. Graph. 24(3): 527-535 (2005) - [j11]Hong Wu, Yizhou Yu:
Photogrammetric reconstruction of free-form objects with curvilinear structures. Vis. Comput. 21(4): 203-216 (2005) - [j10]Lin Shi, Yizhou Yu, Christopher Wojtan, Stephen Chenney:
Controllable motion synthesis in a gaseous medium. Vis. Comput. 21(7): 474-487 (2005) - [c16]Nathan Bell, Yizhou Yu, Peter J. Mucha:
Particle-based simulation of granular materials. Symposium on Computer Animation 2005: 77-86 - [c15]Lin Shi, Yizhou Yu:
Taming liquids for rapidly changing targets. Symposium on Computer Animation 2005: 229-236 - [c14]Eiji Sugisaki, Yizhou Yu, Ken Anjyo, Shigeo Morishima:
Simulation-Based Cartoon Hair Animation. WSCG (Full Papers) 2005: 117-122 - 2004
- [j9]Lin Shi, Yizhou Yu:
Inviscid and incompressible fluid simulation on triangle meshes. Comput. Animat. Virtual Worlds 15(3-4): 173-181 (2004) - [j8]Yizhou Yu, Qing Wu:
Video metamorphosis using dense flow fields. Comput. Animat. Virtual Worlds 15(3-4): 387-397 (2004) - [j7]Qing Wu, Yizhou Yu:
Feature matching and deformation for texture synthesis. ACM Trans. Graph. 23(3): 364-367 (2004) - [j6]Yizhou Yu, Kun Zhou, Dong Xu, Xiaohan Shi, Hujun Bao, Baining Guo, Heung-Yeung Shum:
Mesh editing with poisson-based gradient field manipulation. ACM Trans. Graph. 23(3): 644-651 (2004) - [c13]Wei Hong, Yi Ma, Yizhou Yu:
Reconstruction of 3-D Symmetric Curves from Perspective Images without Discrete Features. ECCV (3) 2004: 533-545 - [c12]Eiji Sugisaki, Yizhou Yu, Ken Anjyo, Shigeo Morishima:
Cartoon hair animation based on physical simulation. SIGGRAPH Posters 2004: 27 - 2003
- [c11]David Edwards, Johnny T. Chang, Lin Shi, Yizhou Yu:
Motion Field Estimation for Temporal Textures. DICTA 2003: 389-400 - [c10]Qing Wu, Yizhou Yu:
Two-Level Image Segmentation Based on Region and Edge Integration. DICTA 2003: 957-966 - 2002
- [c9]Yizhou Yu, Johnny T. Chang:
Shadow Graphs and Surface Reconstruction. ECCV (2) 2002: 31-45 - [c8]Ziqiang Liu, Ce Liu, Heung-Yeung Shum, Yizhou Yu:
Pattern-Based Texture Metamorphosis. PG 2002: 184-193 - [c7]Johnny T. Chang, Jingyi Jin, Yizhou Yu:
A practical model for hair mutual interactions. Symposium on Computer Animation 2002: 73-80 - 2001
- [j5]Yizhou Yu, Andras Ferencz, Jitendra Malik:
Extracting Objects from Range and Radiance Images. IEEE Trans. Vis. Comput. Graph. 7(4): 351-364 (2001) - [c6]Yizhou Yu:
Modeling Realistic Virtual Hairstyles. PG 2001: 295-304 - [c5]Xinguo Liu, Yizhou Yu, Heung-Yeung Shum:
Synthesizing bidirectional texture functions for real-world surfaces. SIGGRAPH 2001: 97-106
1990 – 1999
- 1999
- [j4]Yizhou Yu:
Efficient visibility processing for projective texture mapping. Comput. Graph. 23(2): 245-253 (1999) - [c4]Yizhou Yu, Paul E. Debevec, Jitendra Malik, Tim Hawkins:
Inverse Global Illumination: Recovering Reflectance Models of Real Scenes from Photographs. SIGGRAPH 1999: 215-224 - 1998
- [c3]Paul E. Debevec, Yizhou Yu, George Borshukov:
Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping. Rendering Techniques 1998: 105-116 - [c2]Yizhou Yu, Jitendra Malik:
Recovering Photometric Properties of Architectural Scenes from Photographs. SIGGRAPH 1998: 207-217 - 1997
- [j3]Yizhou Yu, Hong Wu:
A Rendering Equation for Specular Transfers and Its Integration into Global Illumination. Comput. Graph. Forum 16(3): 283-292 (1997) - [j2]Yizhou Yu, Oscar H. Ibarra, Tao Yang:
Parallel Progressive Radiosity with Adaptive Meshing. J. Parallel Distributed Comput. 42(1): 30-41 (1997) - 1996
- [c1]Yizhou Yu, Oscar H. Ibarra, Tao Yang:
Parallel Progressive Radiosity with Adaptive Meshing. IRREGULAR 1996: 159-170 - 1995
- [j1]Yizhou Yu, Qunsheng Peng:
Multiresolution B-spline Radiosity. Comput. Graph. Forum 14(3): 285-298 (1995)
Coauthor Index
[j128] [c139] [c137] [i137] [i136] [i129] [j117] [c129] [i118] [i117] [i111] [i109] [i104] [c121] [c120] [c115] [c114] [i99] [i91] [i89] [j94] [j88] [j86] [j82] [c108] [c105] [c104] [c93] [c89] [c84] [i81] [i77] [i75] [j80] [j79] [j76] [c82] [c81] [c75] [i59] [i55] [i51] [i48] [j73] [j71] [j68] [j67] [c70] [c68] [c65] [c64] [c61] [c58] [i37] [i35] [i34] [i33] [i31] [i30] [i29] [i28] [j63] [c55] [i24] [i18] [j61] [c51] [i16] [i11] [j53] [c48] [i10] [i6] [c45] [i5]
Hongyu Zhou
aka: Hong-Yu Zhou
aka: Hong-Yu Zhou
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