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2020 – today
- 2025
[j17]Jiapeng Li
, Ruonan Zhang, Ge Li, Thomas H. Li:
SDE2D: Semantic-Guided Discriminability Enhancement Feature Detector and Descriptor. IEEE Trans. Multim. 27: 275-286 (2025)- [i39]Lei Zhu, Yuanqi Chen, Xiaohang Liu, Thomas H. Li, Ge Li:
Learning Semantic Facial Descriptors for Accurate Face Animation. CoRR abs/2501.17718 (2025) - 2024
- [j16]Ruonan Zhang, Ge Li, Wei Gao, Thomas H. Li:
ComPoint: Can Complex-Valued Representation Benefit Point Cloud Place Recognition? IEEE Trans. Intell. Transp. Syst. 25(7): 7494-7507 (2024) - [j15]Yuanqi Chen, Shangkun Sun, Ge Li, Wei Gao, Thomas H. Li:
Closing the Gap Between Theory and Practice During Alternating Optimization for GANs. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14005-14017 (2024) - [c61]Ruyang Liu, Chen Li, Yixiao Ge, Thomas H. Li, Ying Shan, Ge Li:
BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning. CVPR 2024: 13658-13667 - [c60]Jiangwei Deng, Yuhao An, Thomas H. Li, Shan Liu, Ge Li:
ScanPCGC: Learning-Based Lossless Point Cloud Geometry Compression using Sequential Slice Representation. ICASSP 2024: 8386-8390 - [c59]Zhiyi Pan, Guoqing Liu, Wei Gao, Thomas H. Li:
EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding. ICME 2024: 1-6 - [c58]Ruonan Zhang, Xiaohang Liu, Ge Li, Thomas H. Li, Pengjun Zhao:
Sketch-aided Interactive Fusion Point Cloud Place Recognition. ICMR 2024: 1115-1119 - [c57]Shangkun Sun, Jiaming Liu, Huaxia Li, Guoqing Liu, Thomas H. Li, Wei Gao:
StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences. NeurIPS 2024 - [i38]Zhiyi Pan, Guoqing Liu, Wei Gao, Thomas H. Li:
EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding. CoRR abs/2410.17207 (2024) - [i37]Thomas H. Li, Francisco Barreras:
Garden city: A synthetic dataset and sandbox environment for analysis of pre-processing algorithms for GPS human mobility data. CoRR abs/2412.00913 (2024) - 2023
- [j14]Yuanqi Chen, Cece Jin, Ge Li, Thomas H. Li, Wei Gao:
Mitigating Label Noise in GANs via Enhanced Spectral Normalization. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3924-3934 (2023) - [j13]Zhuangzi Li, Ge Li, Thomas H. Li, Shan Liu, Wei Gao:
Semantic Point Cloud Upsampling. IEEE Trans. Multim. 25: 3432-3442 (2023) - [c56]Nan Zhang, Zhiyi Pan, Thomas H. Li, Wei Gao, Ge Li:
Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering. CVPR 2023: 1244-1254 - [c55]Xinyu Sun, Peihao Chen, Liangwei Chen, Changhao Li, Thomas H. Li, Mingkui Tan, Chuang Gan:
Masked Motion Encoding for Self-Supervised Video Representation Learning. CVPR 2023: 2235-2245 - [c54]Ruyang Liu, Jingjia Huang, Ge Li, Jiashi Feng, Xinglong Wu, Thomas H. Li:
Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring. CVPR 2023: 6555-6564 - [c53]Shuailei Ma, Yuefeng Wang, Ying Wei, Jiaqi Fan, Thomas H. Li, Hongli Liu, Fanbing Lv:
CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection. CVPR 2023: 19681-19690 - [c52]Huantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han, Mingkui Tan:
Hard Sample Matters a Lot in Zero-Shot Quantization. CVPR 2023: 24417-24426 - [c51]Kunyang Lin, Peihao Chen, Diwei Huang, Thomas H. Li, Mingkui Tan, Chuang Gan:
Learning Vision-and-Language Navigation from YouTube Videos. ICCV 2023: 8283-8292 - [c50]Ruyang Liu, Jingjia Huang, Thomas H. Li, Ge Li:
Causality Compensated Attention for Contextual Biased Visual Recognition. ICLR 2023 - [c49]Xingyu Chen, Peixi Wu, Ge Li, Thomas H. Li:
LIO-PPF: Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking. IROS 2023: 1458-1465 - [c48]Xiaodong Yang, Yiting Shao, Shan Liu, Thomas H. Li, Ge Li:
PDE-based Progressive Prediction Framework for Attribute Compression of 3D Point Clouds. ACM Multimedia 2023: 9271-9281 - [c47]Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan:
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction. NeurIPS 2023 - [c46]Xinyu Sun, Peihao Chen, Jugang Fan, Jian Chen, Thomas H. Li, Mingkui Tan:
FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation. NeurIPS 2023 - [c45]Lei Zhu, Ge Li, Yuanqi Chen, Thomas H. Li:
IPFR: Identity-Preserving Face Reenactment with Enhanced Domain Adversarial Training and Multi-level Identity Priors. PRCV (10) 2023: 113-124 - [c44]Xingyu Chen, Ruonan Zhang, Ji Jiang, Yan Wang, Ge Li, Thomas H. Li:
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem. WACV 2023: 5765-5775 - [c43]Xingyu Chen, Thomas H. Li, Ruonan Zhang, Ge Li:
Frequency-Aware Self-Supervised Monocular Depth Estimation. WACV 2023: 5797-5806 - [i36]Shuailei Ma, Yuefeng Wang, Jiaqi Fan, Ying Wei, Thomas H. Li, Hongli Liu, Fanbing Lv:
CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection. CoRR abs/2301.01970 (2023) - [i35]Ruyang Liu, Jingjia Huang, Ge Li, Jiashi Feng, Xinglong Wu, Thomas H. Li:
Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring. CoRR abs/2301.11116 (2023) - [i34]Xingyu Chen, Peixi Wu, Ge Li, Thomas H. Li:
LIO-PPF: Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking. CoRR abs/2302.14674 (2023) - [i33]Shuailei Ma, Yuefeng Wang, Ying Wei, Peihao Chen, Zhixiang Ye, Jiaqi Fan, Enming Zhang, Thomas H. Li:
Detecting the open-world objects with the help of the Brain. CoRR abs/2303.11623 (2023) - [i32]Huantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han, Mingkui Tan:
Hard Sample Matters a Lot in Zero-Shot Quantization. CoRR abs/2303.13826 (2023) - [i31]Kunyang Lin, Peihao Chen, Diwei Huang, Thomas H. Li, Mingkui Tan, Chuang Gan:
Learning Vision-and-Language Navigation from YouTube Videos. CoRR abs/2307.11984 (2023) - [i30]Peihao Chen, Xinyu Sun, Hongyan Zhi, Runhao Zeng, Thomas H. Li, Gaowen Liu, Mingkui Tan, Chuang Gan:
A2Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models. CoRR abs/2308.07997 (2023) - [i29]Ruyang Liu, Chen Li, Yixiao Ge, Ying Shan, Thomas H. Li, Ge Li:
One For All: Video Conversation is Feasible Without Video Instruction Tuning. CoRR abs/2309.15785 (2023) - [i28]Xinyu Sun, Peihao Chen, Jugang Fan, Thomas H. Li, Jian Chen, Mingkui Tan:
FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation. CoRR abs/2310.07473 (2023) - [i27]Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan:
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction. CoRR abs/2310.19011 (2023) - [i26]Ruyang Liu, Jingjia Huang, Wei Gao, Thomas H. Li, Ge Li:
Mug-STAN: Adapting Image-Language Pretrained Models for General Video Understanding. CoRR abs/2311.15075 (2023) - [i25]Shangkun Sun, Jiaming Liu, Thomas H. Li, Huaxia Li, Guoqing Liu, Wei Gao:
StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences. CoRR abs/2311.17099 (2023) - 2022
- [j12]Fei Song, Ge Li, Wei Gao, Thomas H. Li:
Rate-Distortion Optimized Graph for Point Cloud Attribute Coding. IEEE Signal Process. Lett. 29: 922-926 (2022) - [j11]Jingjia Huang, Wei Yan, Ge Li, Thomas H. Li, Shan Liu:
Learning Disentangled Representation for Multi-View 3D Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(2): 646-659 (2022) - [j10]Ruonan Zhang, Jingyi Chen, Wei Gao, Ge Li, Thomas H. Li:
PointOT: Interpretable Geometry-Inspired Point Cloud Generative Model via Optimal Transport. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6792-6806 (2022) - [j9]Ruonan Zhang, Wei Gao, Ge Li, Thomas H. Li:
QINet: Decision Surface Learning and Adversarial Enhancement for Quasi-Immune Completion of Diverse Corrupted Point Clouds. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j8]Jingjia Huang, Wei Yan, Thomas H. Li, Shan Liu, Ge Li:
Learning the Global Descriptor for 3-D Object Recognition Based on Multiple Views Decomposition. IEEE Trans. Multim. 24: 188-201 (2022) - [c42]Yurui Ren, Xiaoqing Fan, Ge Li, Shan Liu, Thomas H. Li:
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis. CVPR 2022: 13525-13534 - [c41]Jiapeng Li, Ge Li, Thomas H. Li:
Attention Guided Invariance Selection for Local Feature Descriptors. ICASSP 2022: 2215-2219 - [c40]Jingyi Chen, Ge Li, Ruonan Zhang, Thomas H. Li, Wei Gao:
Pointivae: Invertible Variational Autoencoder Framework for 3D Point Cloud Generation. ICIP 2022: 3216-3220 - [c39]Xiaoqing Fan, Ge Li, Dingquan Li, Yurui Ren, Wei Gao, Thomas H. Li:
Deep Geometry Post-Processing for Decompressed Point Clouds. ICME 2022: 1-6 - [c38]Fei Song, Ge Li, Xiaodong Yang, Wei Gao, Thomas H. Li:
Fine-Grained Correlation Representation for Graph-Based Point Cloud Attribute Compression. ICME 2022: 1-6 - [c37]Li Liu, Xing Cai, Ge Li, Thomas H. Li:
DKNAS: A Practical Deep Keypoint Extraction Framework Based on Neural Architecture Search. ICRA 2022: 5643-5649 - [c36]Peixi Wu, Ge Li, Thomas H. Li:
MOAC: Multi-level Perception Optimizer Based on Dual Augmented Cost for Structure- from-Motion. MIPR 2022: 139-145 - [c35]Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas H. Li, Mingkui Tan, Chuang Gan:
Learning Active Camera for Multi-Object Navigation. NeurIPS 2022 - [c34]Peihao Chen, Dongyu Ji, Kunyang Lin, Runhao Zeng, Thomas H. Li, Mingkui Tan, Chuang Gan:
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation. NeurIPS 2022 - [c33]Yan Wang, Ge Li, Ruonan Zhang, Xingyu Chen, Thomas H. Li:
Geometric-Aware Calibration Mechanism for Self-Supervised Depth Estimation. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 335-342 - [i24]Yurui Ren, Xiaoqing Fan, Ge Li, Shan Liu, Thomas H. Li:
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis. CoRR abs/2204.06160 (2022) - [i23]Xiaoqing Fan, Ge Li, Dingquan Li, Yurui Ren, Wei Gao, Thomas H. Li:
Deep Geometry Post-Processing for Decompressed Point Clouds. CoRR abs/2204.13952 (2022) - [i22]Xingyu Chen, Ruonan Zhang, Ji Jiang, Yan Wang, Ge Li, Thomas H. Li:
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem. CoRR abs/2210.00411 (2022) - [i21]Xingyu Chen, Thomas H. Li, Ruonan Zhang, Ge Li:
Frequency-Aware Self-Supervised Monocular Depth Estimation. CoRR abs/2210.05479 (2022) - [i20]Xinyu Sun, Peihao Chen, Liangwei Chen, Thomas H. Li, Mingkui Tan, Chuang Gan:
M3Video: Masked Motion Modeling for Self-Supervised Video Representation Learning. CoRR abs/2210.06096 (2022) - [i19]Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas H. Li, Mingkui Tan, Chuang Gan:
Learning Active Camera for Multi-Object Navigation. CoRR abs/2210.07505 (2022) - [i18]Peihao Chen, Dongyu Ji, Kunyang Lin, Runhao Zeng, Thomas H. Li, Mingkui Tan, Chuang Gan:
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation. CoRR abs/2210.07506 (2022) - 2021
- [c32]Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas H. Li:
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains. AAAI 2021: 1105-1112 - [c31]Li Liu, Ge Li, Thomas H. Li:
ATVIO: Attention Guided Visual-Inertial Odometry. ICASSP 2021: 4125-4129 - [c30]Yurui Ren, Ge Li, Yuanqi Chen, Thomas H. Li, Shan Liu:
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering. ICCV 2021: 13739-13748 - [c29]Munan Xu, Yuanqi Chen, Shan Liu, Thomas H. Li, Ge Li:
Structure-transformed Texture-enhanced Network for Person Image Synthesis. ICCV 2021: 13839-13848 - [c28]Keyao Li, Ge Li, Thomas H. Li:
Rethinking Training Objective For Self-Supervised Monocular Depth Estimation: Semantic Cues To Rescue. ICIP 2021: 3308-3312 - [c27]Zhuangzi Li, Ge Li, Thomas H. Li, Shan Liu, Wei Gao:
Information-Growth Attention Network for Image Super-Resolution. ACM Multimedia 2021: 544-552 - [c26]Yurui Ren, Yubo Wu, Thomas H. Li, Shan Liu, Ge Li:
Combining Attention with Flow for Person Image Synthesis. ACM Multimedia 2021: 3737-3745 - [i17]Cece Jin, Yuanqi Chen, Ge Li, Tao Zhang, Thomas H. Li:
Low Pass Filter for Anti-aliasing in Temporal Action Localization. CoRR abs/2104.11403 (2021) - [i16]Yurui Ren, Yubo Wu, Thomas H. Li, Shan Liu, Ge Li:
Combining Attention with Flow for Person Image Synthesis. CoRR abs/2108.01823 (2021) - [i15]Yurui Ren, Ge Li, Yuanqi Chen, Thomas H. Li, Shan Liu:
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering. CoRR abs/2109.08379 (2021) - 2020
- [j7]Chunbiao Zhu, Wei Yan, Xing Cai, Shan Liu, Thomas H. Li, Ge Li:
Neural saliency algorithm guide bi-directional visual perception style transfer. CAAI Trans. Intell. Technol. 5(1): 1-8 (2020) - [j6]Jingjia Huang, Nannan Li, Thomas H. Li, Shan Liu, Ge Li:
Spatial-Temporal Context-Aware Online Action Detection and Prediction. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2650-2662 (2020) - [j5]Yurui Ren, Ge Li, Shan Liu, Thomas H. Li:
Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation. IEEE Trans. Image Process. 29: 8622-8635 (2020) - [c25]Yuhui Cao, Yurui Ren, Thomas H. Li, Ge Li:
Over-Exposure Correction via Exposure and Scene Information Disentanglement. ACCV (4) 2020: 407-422 - [c24]Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H. Li, Ge Li:
Deep Image Spatial Transformation for Person Image Generation. CVPR 2020: 7687-7696 - [c23]Cece Jin, Tao Zhang, Weijie Kong, Thomas H. Li, Ge Li:
Regression Before Classification for Temporal Action Detection. ICASSP 2020: 1-5 - [c22]Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li:
ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection. ICASSP 2020: 2588-2592 - [c21]Lanqing Zhang, Ge Li, Thomas H. Li:
Pose Refinement: Bridging the Gap Between Unsupervised Learning and Geometric Methods for Visual Odometry. ICASSP 2020: 4522-4526 - [c20]Xing Cai, Lanqing Zhang, Chengyuan Li, Ge Li, Thomas H. Li:
Twinvo: Unsupervised Learning of Monocular Visual Odometry Using Bi-Direction Twin Network. ICME Workshops 2020: 1-6 - [c19]Chengyuan Li, Lanqing Zhang, Xing Cai, Keyao Li, Ge Li, Thomas H. Li:
Towards Loss Balance and Consistent Model in Self-supervised Monocular Depth Estimation. ICTAI 2020: 883-889 - [c18]Lanqing Zhang, Ge Li, Thomas H. Li:
Temporal-Aware SfM-Learner: Unsupervised Learning Monocular Depth and Motion from Stereo Video Clips. MIPR 2020: 253-258 - [c17]Xing Cai, Lanqing Zhang, Chengyuan Li, Ge Li, Thomas H. Li:
VONAS: Network Design in Visual Odometry using Neural Architecture Search. ACM Multimedia 2020: 727-735 - [c16]Wei Yan, Ruonan Zhang, Jing Wang, Shan Liu, Thomas H. Li, Ge Li:
Vaccine-style-net: Point Cloud Completion in Implicit Continuous Function Space. ACM Multimedia 2020: 2067-2075 - [i14]Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H. Li, Ge Li:
Deep Image Spatial Transformation for Person Image Generation. CoRR abs/2003.00696 (2020) - [i13]Yurui Ren, Ge Li, Shan Liu, Thomas H. Li:
Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation. CoRR abs/2008.12606 (2020) - [i12]Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas H. Li:
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains. CoRR abs/2012.05535 (2020)
2010 – 2019
- 2019
- [j4]Yurui Ren, Zhenqiang Ying, Thomas H. Li, Ge Li:
LECARM: Low-Light Image Enhancement Using the Camera Response Model. IEEE Trans. Circuits Syst. Video Technol. 29(4): 968-981 (2019) - [j3]Chunbiao Zhu, Wenhao Zhang, Thomas H. Li, Shan Liu, Ge Li:
Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection. ACM Trans. Intell. Syst. Technol. 10(3): 32:1-32:20 (2019) - [c15]Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li:
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. CVPR 2019: 1237-1246 - [c14]Kai Lin, Thomas H. Li, Shan Liu, Ge Li:
Real Photographs Denoising With Noise Domain Adaptation and Attentive Generative Adversarial Network. CVPR Workshops 2019: 1717-1721 - [c13]Tao Zhang, Shan Liu, Thomas H. Li, Ge Li:
Boundary Information Matters More: Accurate Temporal Action Detection with Temporal Boundary Network. ICASSP 2019: 1642-1646 - [c12]Weijie Kong, Nannan Li, Shan Liu, Thomas H. Li, Ge Li:
BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization. ICASSP 2019: 1647-1651 - [c11]Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li:
StructureFlow: Image Inpainting via Structure-Aware Appearance Flow. ICCV 2019: 181-190 - [c10]Chunbiao Zhu, Wei Yan, Shan Liu, Thomas H. Li, Ge Li:
Salient Contour-Aware Based Twice Learning Strategy for Saliency Detection. ICCV Workshops 2019: 2541-2548 - [c9]Chunbiao Zhu, Xing Cai, Kan Huang, Thomas H. Li, Ge Li:
PDNet: Prior-Model Guided Depth-Enhanced Network for Salient Object Detection. ICME 2019: 199-204 - [c8]Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li:
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. IJCAI 2019: 2944-2951 - [c7]Xiaoming Yu, Yuanqi Chen, Shan Liu, Thomas H. Li, Ge Li:
Multi-mapping Image-to-Image Translation via Learning Disentanglement. NeurIPS 2019: 2990-2999 - [i11]Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li:
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection. CoRR abs/1903.07256 (2019) - [i10]Wei Yan, Yiting Shao, Shan Liu, Thomas H. Li, Zhu Li, Ge Li:
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds. CoRR abs/1905.03691 (2019) - [i9]Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li:
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. CoRR abs/1906.12087 (2019) - [i8]Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li:
StructureFlow: Image Inpainting via Structure-aware Appearance Flow. CoRR abs/1908.03852 (2019) - [i7]Xiaoming Yu, Yuanqi Chen, Thomas H. Li, Shan Liu, Ge Li:
Multi-mapping Image-to-Image Translation via Learning Disentanglement. CoRR abs/1909.07877 (2019) - [i6]Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li:
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection. CoRR abs/1911.03029 (2019) - 2018
- [j2]Nannan Li, Huiwen Guo, Yang Zhao, Thomas H. Li, Ge Li:
Active Temporal Action Detection in Untrimmed Videos Via Deep Reinforcement Learning. IEEE Access 6: 59126-59140 (2018) - [j1]Nannan Li, Jingjia Huang, Thomas H. Li, Huiwen Guo, Ge Li:
Detecting action tubes via spatial action estimation and temporal path inference. Neurocomputing 311: 65-77 (2018) - [c6]Xiaoming Yu, Xing Cai, Zhenqiang Ying, Thomas H. Li, Ge Li:
SingleGAN: Image-to-Image Translation by a Single-Generator Network Using Multiple Generative Adversarial Learning. ACCV (5) 2018: 341-356 - [c5]Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li:
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector. ACM Multimedia 2018: 35-44 - [c4]Jingjia Huang, Nannan Li, Jia-Xing Zhong, Thomas H. Li, Ge Li:
Online Action Tube Detection via Resolving the Spatio-temporal Context Pattern. ACM Multimedia 2018: 993-1001 - [c3]Weijie Kong, Nannan Li, Thomas H. Li, Ge Li:
Deep Pedestrian Detection Using Contextual Information and Multi-level Features. MMM (1) 2018: 166-177 - [c2]Kai Lin, Yiwei Zhang, Thomas H. Li, Kan Huang, Ge Li:
Adaptive Integration Skip Compensation Neural Networks for Removing Mixed Noise in Image. PCM (1) 2018: 381-391 - [i5]Chunbiao Zhu, Xing Cai, Kan Huang, Thomas H. Li, Ge Li:
PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection. CoRR abs/1803.08636 (2018) - [i4]Chunbiao Zhu, Wenhao Zhang, Thomas H. Li, Ge Li:
Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection. CoRR abs/1805.05132 (2018) - [i3]Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li:
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector. CoRR abs/1807.02929 (2018) - [i2]Xiaoming Yu, Xing Cai, Zhenqiang Ying, Thomas H. Li, Ge Li:
SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning. CoRR abs/1810.04991 (2018) - [i1]Weijie Kong, Nannan Li, Shan Liu, Thomas H. Li, Ge Li:
BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization. CoRR abs/1811.02189 (2018) - 2017
- [c1]Chunbiao Zhu, Thomas H. Li, Ge Li:
Towards Automatic Wild Animal Detection in Low Quality Camera-Trap Images Using Two-Channeled Perceiving Residual Pyramid Networks. ICCV Workshops 2017: 2860-2864
Coauthor Index
[j17] [i39] [j16] [j15] [c61] [c60] [c58] [j14] [j13] [c56] [c54] [c50] [c49] [c48] [c45] [c44] [c43] [i35] [i34] [i29] [i26] [j12] [j11] [j10] [j9] [j8] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c33] [i24] [i23] [i22] [i21] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [i17] [i16] [i15] [j7] [j6] [j5] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i14] [i13] [i12] [j4] [j3] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i11] [i10] [i9] [i8] [i7] [i6] [j2] [j1] [c6] [c5] [c4] [c3] [c2] [i5] [i4] [i3] [i2] [i1] [c1]
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last updated on 2025-03-04 21:13 CET by the dblp team
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