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2020 – today
- 2024
[j6]Mengtian Li
, Shaohui Lin, Zihan Wang, Yunhang Shen, Baochang Zhang, Lizhuang Ma:
Class-imbalanced semi-supervised learning for large-scale point cloud semantic segmentation via decoupling optimization. Pattern Recognit. 156: 110701 (2024)- [c41]Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao:
Weakly Supervised Open-Vocabulary Object Detection. AAAI 2024: 3404-3412 - [c40]Wensheng Pan, Timin Gao, Yan Zhang, Xiawu Zheng, Yunhang Shen, Ke Li, Runze Hu, Yutao Liu, Pingyang Dai:
Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning. AAAI 2024: 4388-4396 - [c39]Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin:
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space. AAAI 2024: 13709-13717 - [c38]Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji:
Aligning and Prompting Everything All at Once for Universal Visual Perception. CVPR 2024: 13193-13203 - [c37]Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin:
A General and Efficient Training for Transformer via Token Expansion. CVPR 2024: 15783-15792 - [c36]Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian:
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery. CVPR 2024: 16880-16889 - [c35]Xudong Li, Timin Gao, Runze Hu, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Rongrong Ji:
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity. ICML 2024 - [c34]Xudong Li, Runze Hu, Jingyuan Zheng, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Ke Li, Yunhang Shen, Yutao Liu, Pingyang Dai, Rongrong Ji:
Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment. ICML 2024 - [c33]Zikai Zhou, Yunhang Shen, Shitong Shao, Linrui Gong, Shaohui Lin:
Rethinking Centered Kernel Alignment in Knowledge Distillation. IJCAI 2024: 5680-5688 - [c32]Guilin Li, Mengdan Zhang, Xiawu Zheng, Peixian Chen, Zihan Wang, Yunhang Shen, Mingchen Zhuge, Chenglin Wu, Fei Chao, Ke Li, Xing Sun, Rongrong Ji:
Multimodal Inplace Prompt Tuning for Open-set Object Detection. ACM Multimedia 2024: 8062-8071 - [c31]Timin Gao, Peixian Chen, Mengdan Zhang, Chaoyou Fu, Yunhang Shen, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Xing Sun, Liujuan Cao, Rongrong Ji:
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM. ACM Multimedia 2024: 9096-9105 - [i39]Mengtian Li, Shaohui Lin, Zihan Wang, Yunhang Shen, Baochang Zhang, Lizhuang Ma:
Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization. CoRR abs/2401.06975 (2024) - [i38]Zikai Zhou, Yunhang Shen, Shitong Shao, Huanran Chen, Linrui Gong, Shaohui Lin:
Rethinking Centered Kernel Alignment in Knowledge Distillation. CoRR abs/2401.11824 (2024) - [i37]Xudong Li, Jingyuan Zheng, Runze Hu, Yan Zhang, Ke Li, Yunhang Shen, Xiawu Zheng, Yutao Liu, Shengchuan Zhang, Pingyang Dai, Rongrong Ji:
Feature Denoising Diffusion Model for Blind Image Quality Assessment. CoRR abs/2401.11949 (2024) - [i36]Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin:
A General and Efficient Training for Transformer via Token Expansion. CoRR abs/2404.00672 (2024) - [i35]Wenhao Dong, Haodong Zhu, Shaohui Lin, Xiaoyan Luo, Yunhang Shen, Xuhui Liu, Juan Zhang, Guodong Guo, Baochang Zhang:
Fusion-Mamba for Cross-modality Object Detection. CoRR abs/2404.09146 (2024) - [i34]Wensheng Pan, Timin Gao, Yan Zhang, Runze Hu, Xiawu Zheng, Enwei Zhang, Yuting Gao, Yutao Liu, Yunhang Shen, Ke Li, Shengchuan Zhang, Liujuan Cao, Rongrong Ji:
Multi-Modal Prompt Learning on Blind Image Quality Assessment. CoRR abs/2404.14949 (2024) - [i33]Timin Gao, Peixian Chen, Mengdan Zhang, Chaoyou Fu, Yunhang Shen, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Xing Sun, Liujuan Cao, Rongrong Ji:
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM. CoRR abs/2404.16033 (2024) - [i32]Chaoyou Fu, Yuhan Dai, Yondong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Rongrong Ji, Xing Sun:
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. CoRR abs/2405.21075 (2024) - [i31]Chenyu Zhou, Mengdan Zhang, Peixian Chen, Chaoyou Fu, Yunhang Shen, Xiawu Zheng, Xing Sun, Rongrong Ji:
VEGA: Learning Interleaved Image-Text Comprehension in Vision-Language Large Models. CoRR abs/2406.10228 (2024) - [i30]Liujuan Cao, Jianghang Lin, Zebo Hong, Yunhang Shen, Shaohui Lin, Chao Chen, Rongrong Ji:
HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection. CoRR abs/2406.19394 (2024) - [i29]Chaoyou Fu, Haojia Lin, Zuwei Long, Yunhang Shen, Meng Zhao, Yifan Zhang, Xiong Wang, Di Yin, Long Ma, Xiawu Zheng, Ran He, Rongrong Ji, Yunsheng Wu, Caifeng Shan, Xing Sun:
VITA: Towards Open-Source Interactive Omni Multimodal LLM. CoRR abs/2408.05211 (2024) - 2023
- [j5]Nan Wang, Shaohui Lin, Xiaoxiao Li, Ke Li, Yunhang Shen, Yue Gao, Lizhuang Ma:
MISSU: 3D Medical Image Segmentation via Self-Distilling TransUNet. IEEE Trans. Medical Imaging 42(9): 2740-2750 (2023) - [c30]Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen:
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. AAAI 2023: 2101-2109 - [c29]Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun:
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. AAAI 2023: 2839-2846 - [c28]Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji:
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer. AAAI 2023: 7042-7052 - [c27]Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma:
Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation. AAAI 2023: 7731-7739 - [c26]Zhiwei Chen, Jinren Ding, Liujuan Cao, Yunhang Shen, Shengchuan Zhang, Guannan Jiang, Rongrong Ji:
Category-aware Allocation Transformer for Weakly Supervised Object Localization. ICCV 2023: 6620-6629 - [c25]Xinzi Cao, Xiawu Zheng, Yunhang Shen, Ke Li, Jie Chen, Yutong Lu, Yonghong Tian:
LocLoc: Low-level Cues and Local-area Guides for Weakly Supervised Object Localization. ACM Multimedia 2023: 5655-5664 - [c24]Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji:
CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes. NeurIPS 2023 - [c23]Xiangchuang Chen, Yunhang Shen, Xuan Luo, Yan Zhang, Ke Li, Shaohui Lin:
Classifier Decoupled Training for Black-Box Unsupervised Domain Adaptation. PRCV (3) 2023: 16-30 - [i28]Peng Mi, Jianghang Lin, Yiyi Zhou, Yunhang Shen, Gen Luo, Xiaoshuai Sun, Liujuan Cao, Rongrong Fu, Qiang Xu, Rongrong Ji:
Active Teacher for Semi-Supervised Object Detection. CoRR abs/2303.08348 (2023) - [i27]Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Zhenyu Qiu, Wei Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Rongrong Ji:
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models. CoRR abs/2306.13394 (2023) - [i26]Shaohui Lin, Wenxuan Huang, Jiao Xie, Baochang Zhang, Yunhang Shen, Zhou Yu, Jungong Han, David S. Doermann:
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler. CoRR abs/2307.00198 (2023) - [i25]Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji:
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes. CoRR abs/2310.09761 (2023) - [i24]Shukang Yin, Chaoyou Fu, Sirui Zhao, Tong Xu, Hao Wang, Dianbo Sui, Yunhang Shen, Ke Li, Xing Sun, Enhong Chen:
Woodpecker: Hallucination Correction for Multimodal Large Language Models. CoRR abs/2310.16045 (2023) - [i23]Xudong Li, Jingyuan Zheng, Xiawu Zheng, Runze Hu, Enwei Zhang, Yuting Gao, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji:
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment. CoRR abs/2312.00591 (2023) - [i22]Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji:
Aligning and Prompting Everything All at Once for Universal Visual Perception. CoRR abs/2312.02153 (2023) - [i21]Xudong Li, Timin Gao, Xiawu Zheng, Runze Hu, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji:
Adaptive Feature Selection for No-Reference Image Quality Assessment using Contrastive Mitigating Semantic Noise Sensitivity. CoRR abs/2312.06158 (2023) - [i20]Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin:
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space. CoRR abs/2312.08200 (2023) - [i19]Chaoyou Fu, Renrui Zhang, Zihan Wang, Yubo Huang, Zhengye Zhang, Longtian Qiu, Gaoxiang Ye, Yunhang Shen, Mengdan Zhang, Peixian Chen, Sirui Zhao, Shaohui Lin, Deqiang Jiang, Di Yin, Peng Gao, Ke Li, Hongsheng Li, Xing Sun:
A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise. CoRR abs/2312.12436 (2023) - [i18]Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao:
Weakly Supervised Open-Vocabulary Object Detection. CoRR abs/2312.12437 (2023) - 2022
- [c22]Zhiwei Chen, Changan Wang, Yabiao Wang, Guannan Jiang, Yunhang Shen, Ying Tai, Chengjie Wang, Wei Zhang, Liujuan Cao:
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization. AAAI 2022: 410-418 - [c21]Peng Mi, Jianghang Lin, Yiyi Zhou, Yunhang Shen, Gen Luo, Xiaoshuai Sun, Liujuan Cao, Rongrong Fu, Qiang Xu, Rongrong Ji:
Active Teacher for Semi-Supervised Object Detection. CVPR 2022: 14462-14471 - [c20]Mengtian Li, Yuan Xie, Yunhang Shen, Bo Ke, Ruizhi Qiao, Bo Ren, Shaohui Lin, Lizhuang Ma:
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization. CVPR 2022: 14910-14919 - [c19]Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. ECCV (18) 2022: 1-18 - [c18]Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen:
Efficient Decoder-Free Object Detection with Transformers. ECCV (10) 2022: 70-86 - [c17]Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Fine-grained Data Distribution Alignment for Post-Training Quantization. ECCV (11) 2022: 70-86 - [c16]Dongli Tan, Jiang-Jiang Liu, Xingyu Chen, Chao Chen, Ruixin Zhang, Yunhang Shen, Shouhong Ding, Rongrong Ji:
ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement. ECCV (10) 2022: 317-334 - [c15]Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji:
SeqTR: A Simple Yet Universal Network for Visual Grounding. ECCV (35) 2022: 598-615 - [c14]Jing He, Yiyi Zhou, Qi Zhang, Jun Peng, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji:
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation. ECCV (14) 2022: 643-660 - [c13]Jun Peng, Xiaoxiong Du, Yiyi Zhou, Jing He, Yunhang Shen, Xiaoshuai Sun, Rongrong Ji:
Learning Dynamic Prior Knowledge for Text-to-Face Pixel Synthesis. ACM Multimedia 2022: 5132-5141 - [i17]Chengcheng Ma, Xingjia Pan, Qixiang Ye, Fan Tang, Yunhang Shen, Ke Yan, Changsheng Xu:
Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection. CoRR abs/2201.10734 (2022) - [i16]Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Zihan Xu, Fei Chao, Yunhang Shen, Ke Li, Yongjian Wu, Rongrong Ji:
Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need. CoRR abs/2201.12826 (2022) - [i15]Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji:
Coarse-to-Fine Vision Transformer. CoRR abs/2203.03821 (2022) - [i14]Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. CoRR abs/2203.03844 (2022) - [i13]Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji:
SeqTR: A Simple yet Universal Network for Visual Grounding. CoRR abs/2203.16265 (2022) - [i12]Jing He, Yiyi Zhou, Qi Zhang, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji:
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation. CoRR abs/2204.00833 (2022) - [i11]Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun, Rongrong Ji:
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. CoRR abs/2204.03541 (2022) - [i10]Yimin Xu, Mingbao Lin, Hong Yang, Ke Li, Yunhang Shen, Fei Chao, Rongrong Ji:
Shadow-Aware Dynamic Convolution for Shadow Removal. CoRR abs/2205.04908 (2022) - [i9]Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji:
Super Vision Transformer. CoRR abs/2205.11397 (2022) - [i8]Nan Wang, Shaohui Lin, Xiaoxiao Li, Ke Li, Yunhang Shen, Yue Gao, Lizhuang Ma:
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet. CoRR abs/2206.00902 (2022) - [i7]Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen:
Efficient Decoder-free Object Detection with Transformers. CoRR abs/2206.06829 (2022) - [i6]Peixian Chen, Kekai Sheng, Mengdan Zhang, Yunhang Shen, Ke Li, Chunhua Shen:
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization. CoRR abs/2206.11134 (2022) - [i5]Hong Yang, Gongrui Nan, Mingbao Lin, Fei Chao, Yunhang Shen, Ke Li, Rongrong Ji:
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal. CoRR abs/2208.13039 (2022) - [i4]Dongli Tan, Jiang-Jiang Liu, Xingyu Chen, Chao Chen, Ruixin Zhang, Yunhang Shen, Shouhong Ding, Rongrong Ji:
ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement. CoRR abs/2209.12213 (2022) - [i3]Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen:
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. CoRR abs/2212.00465 (2022) - 2021
- [c12]Yunhang Shen, Liujuan Cao, Zhiwei Chen, Feihong Lian, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation. CVPR 2021: 16694-16705 - [c11]Yunhang Shen, Liujuan Cao, Zhiwei Chen, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation. ICCV 2021: 8178-8188 - [c10]Zhiwei Chen, Liujuan Cao, Yunhang Shen, Feihong Lian, Yongjian Wu, Rongrong Ji:
E2Net: Excitative-Expansile Learning for Weakly Supervised Object Localization. ACM Multimedia 2021: 573-581 - [i2]Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Fine-grained Data Distribution Alignment for Post-Training Quantization. CoRR abs/2109.04186 (2021) - [i1]Zhiwei Chen, Changan Wang, Yabiao Wang, Guannan Jiang, Yunhang Shen, Ying Tai, Chengjie Wang, Wei Zhang, Liujuan Cao:
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization. CoRR abs/2112.05291 (2021) - 2020
- [j4]Yunhang Shen, Rongrong Ji, Kuiyuan Yang, Cheng Deng, Changhu Wang:
Category-Aware Spatial Constraint for Weakly Supervised Detection. IEEE Trans. Image Process. 29: 843-858 (2020) - [c9]Yunhang Shen, Rongrong Ji, Zhiwei Chen, Xiaopeng Hong, Feng Zheng, Jianzhuang Liu, Mingliang Xu, Qi Tian:
Noise-Aware Fully Webly Supervised Object Detection. CVPR 2020: 11323-11332 - [c8]Yunhang Shen, Rongrong Ji, Yan Wang, Zhiwei Chen, Feng Zheng, Feiyue Huang, Yunsheng Wu:
Enabling Deep Residual Networks for Weakly Supervised Object Detection. ECCV (8) 2020: 118-136 - [c7]Yunhang Shen, Rongrong Ji, Zhiwei Chen, Yongjian Wu, Feiyue Huang:
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection. NeurIPS 2020
2010 – 2019
- 2019
- [c6]Yunhang Shen, Rongrong Ji, Yan Wang, Yongjian Wu, Liujuan Cao:
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation. CVPR 2019: 697-707 - [c5]Yunhang Shen, Rongrong Ji, Xiaopeng Hong, Feng Zheng, Xiaowei Guo, Yongjian Wu, Feiyue Huang:
A Part Power Set Model for Scale-Free Person Retrieval. IJCAI 2019: 3397-3403 - [c4]Zhiwei Chen, Rongrong Ji, Jipeng Wu, Yunhang Shen:
Multi-scale Features for Weakly Supervised Lesion Detection of Cerebral Hemorrhage with Collaborative Learning. MMAsia 2019: 34:1-34:7 - 2018
- [j3]Yunhang Shen, Rongrong Ji, Changhu Wang, Xi Li, Xuelong Li:
Weakly Supervised Object Detection via Object-Specific Pixel Gradient. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5960-5970 (2018) - [c3]Yunhang Shen, Rongrong Ji, Shengchuan Zhang, Wangmeng Zuo, Yan Wang:
Generative Adversarial Learning Towards Fast Weakly Supervised Detection. CVPR 2018: 5764-5773 - 2017
- [c2]Mingbao Lin, Xianming Lin, Yunhang Shen, Rongrong Ji:
Sensitive Information Detection on Cyber-Space. ICIG (3) 2017: 496-504 - 2016
- [j2]Xianming Lin, Yunhang Shen, Ling Cai, Rongrong Ji:
The distributed system for inverted multi-index visual retrieval. Neurocomputing 215: 241-249 (2016) - 2014
- [j1]Fei Chao, Fuhai Chen, Yunhang Shen, Wenli He, Yan Sun, Zhengshuai Wang, Changle Zhou, Min Jiang:
Robotic Free Writing of Chinese Characters via Human-Robot Interactions. Int. J. Humanoid Robotics 11(1) (2014) - [c1]Yunhang Shen, Rongrong Ji, Donglin Cao, Min Wang:
Hacking Chinese Touclick CAPTCHA by Multi-Scale Corner Structure Model with Fast Pattern Matching. ACM Multimedia 2014: 853-856
Coauthor Index
[c38] [c35] [c34] [c32] [c31] [i37] [i34] [i33] [i32] [i31] [i30] [i29] [c28] [c26] [c24] [i28] [i27] [i25] [i23] [i22] [i21] [c21] [c19] [c17] [c16] [c15] [c14] [c13] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i5] [i4] [c12] [c11] [c10] [i2] [j4] [c9] [c8] [c7] [c6] [c5] [c4] [j3] [c3] [c2] [j2] [c1]
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