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ORCIDYuxi Li 0009
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2020 – today
- 2025
[j6]Huanyu He, Weiyao Lin, Yuang Zhang, Tianyao He, Yuxi Li, Jianguo Li:
Toward Accurate and Robust Pedestrian Detection via Variational Inference. Int. J. Comput. Vis. 133(2): 867-889 (2025)- [j5]Tianyao He, Huabin Liu, Zelin Ni, Yuxi Li, Xiao Ma, Cheng Zhong, Yang Zhang, Yingxue Wang, Weiyao Lin:
Achieving Procedure-Aware Instructional Video Correlation Learning Under Weak Supervision from a Collaborative Perspective. Int. J. Comput. Vis. 133(4): 2070-2095 (2025) - [i29]Chaofan Gan, Yuanpeng Tu, Xi Chen, Tieyuan Chen, Yuxi Li, Mehrtash Harandi, Weiyao Lin:
Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations. CoRR abs/2505.18584 (2025) - 2024
- [c25]Tianyao He, Huabin Liu, Yuxi Li, Xiao Ma, Cheng Zhong, Yang Zhang, Weiyao Lin:
Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis. AAAI 2024: 2112-2120 - [c24]Shizhan Liu, Zhengkai Jiang, Yuxi Li, Jinlong Peng, Yabiao Wang, Weiyao Lin:
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation. AAAI 2024: 13999-14007 - [c23]Yuanpeng Tu, Yuxi Li, Boshen Zhang, Liang Liu, Jiangning Zhang, Yabiao Wang, Cairong Zhao:
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes. AAAI 2024: 21637-21645 - [c22]Yuanpeng Tu, Boshen Zhang, Liang Liu, Yuxi Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao:
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection. ECCV (2) 2024: 75-91 - [c21]Yining Qiu, Yuxi Li, Jiafu Wu, Zhenye Gan, Mingmin Chi, Yabiao Wang, Chengjie Wang, Pei Wang:
Learning Hybrid Negative Probability Model for Weakly-Supervised Whole Slide Image Recognition. ICASSP 2024: 1551-1555 - [c20]Yuhang Ling, Yuxi Li, Zhenye Gan, Jiangning Zhang, Mingmin Chi, Yabiao Wang:
TransAVS: End-to-End Audio-Visual Segmentation with Transformer. ICASSP 2024: 7845-7849 - [c19]Chaofan Gan, Yuanpeng Tu, Yuxi Li, Weiyao Lin:
DAC: 2D-3D Retrieval with Noisy Labels via Divide-and-Conquer Alignment and Correction. ACM Multimedia 2024: 4217-4226 - [i28]Yuanpeng Tu, Boshen Zhang, Liang Liu, Yuxi Li, Xuhai Chen, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao:
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection. CoRR abs/2401.03145 (2024) - [i27]Sihe Zhang, Qingdong He, Jinlong Peng, Yuxi Li, Zhengkai Jiang, Jiafu Wu, Mingmin Chi, Yabiao Wang, Chengjie Wang:
AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval. CoRR abs/2405.17718 (2024) - [i26]Chaofan Gan, Yuanpeng Tu, Yuxi Li, Weiyao Lin:
DAC: 2D-3D Retrieval with Noisy Labels via Divide-and-Conquer Alignment and Correction. CoRR abs/2407.17779 (2024) - 2023
- [j4]Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Hongkai Xiong, Guojun Qi, Nicu Sebe:
HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events. Int. J. Comput. Vis. 131(11): 2994-3018 (2023) - [c18]Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao:
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking. CVPR 2023: 16186-16195 - [c17]Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Yabiao Wang, Chengjie Wang, Cairong Zhao:
Learning from Noisy Labels with Decoupled Meta Label Purifier. CVPR 2023: 19934-19943 - [c16]Supeng Wang, Yuxi Li, Ming Xie, Mingmin Chi, Yabiao Wang, Chengjie Wang, Wenbing Zhu:
Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection. IJCAI 2023: 1497-1505 - [i25]Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao:
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking. CoRR abs/2302.06805 (2023) - [i24]Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Yabiao Wang, Chengjie Wang, Cairong Zhao:
Learning from Noisy Labels with Decoupled Meta Label Purifier. CoRR abs/2302.06810 (2023) - [i23]Yuanpeng Tu, Yuxi Li, Boshen Zhang, Liang Liu, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao:
Self-supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes. CoRR abs/2302.06815 (2023) - [i22]Huabin Liu, Weiyao Lin, Tieyuan Chen, Yuxi Li, Shuyuan Li, John See:
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization. CoRR abs/2305.06114 (2023) - [i21]Yuhang Ling, Yuxi Li, Zhenye Gan, Jiangning Zhang, Mingmin Chi, Yabiao Wang:
Hear to Segment: Unmixing the Audio to Guide the Semantic Segmentation. CoRR abs/2305.07223 (2023) - [i20]Supeng Wang, Yuxi Li, Ming Xie, Mingmin Chi, Yabiao Wang, Chengjie Wang, Wenbing Zhu:
Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection. CoRR abs/2305.18714 (2023) - [i19]Shizhan Liu, Zhengkai Jiang, Yuxi Li, Jinlong Peng, Yabiao Wang, Weiyao Lin:
Density Matters: Improved Core-set for Active Domain Adaptive Segmentation. CoRR abs/2312.09595 (2023) - [i18]Tianyao He, Huabin Liu, Yuxi Li, Xiao Ma, Cheng Zhong, Yang Zhang, Weiyao Lin:
Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis. CoRR abs/2312.11024 (2023) - 2022
- [j3]Yuxi Li, Ning Xu, Wenjie Yang, John See, Weiyao Lin:
Exploring the Semi-Supervised Video Object Segmentation Problem from a Cyclic Perspective. Int. J. Comput. Vis. 130(10): 2408-2424 (2022) - [c15]Shuyuan Li, Huabin Liu, Rui Qian, Yuxi Li, John See, Mengjuan Fei, Xiaoyuan Yu, Weiyao Lin:
TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition. AAAI 2022: 1404-1411 - [c14]Ming Xie, Yuxi Li, Yabiao Wang, Zekun Luo, Zhenye Gan, Zhongyi Sun, Mingmin Chi, Chengjie Wang, Pei Wang:
Learning Distinctive Margin toward Active Domain Adaptation. CVPR 2022: 7983-7992 - [c13]Boshen Zhang, Yuxi Li, Yuanpeng Tu, Jinlong Peng, Yabiao Wang, Cunlin Wu, Yang Xiao, Cairong Zhao:
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling. ECCV Workshops (2) 2022: 21-38 - [c12]Zhengkai Jiang, Yuxi Li, Ceyuan Yang, Peng Gao, Yabiao Wang, Ying Tai, Chengjie Wang:
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation. ECCV (34) 2022: 36-54 - [i17]Ming Xie, Yuxi Li, Yabiao Wang, Zekun Luo, Zhenye Gan, Zhongyi Sun, Mingmin Chi, Chengjie Wang, Pei Wang:
Learning Distinctive Margin toward Active Domain Adaptation. CoRR abs/2203.05738 (2022) - [i16]Zhengkai Jiang, Yuxi Li, Ceyuan Yang, Peng Gao, Yabiao Wang, Ying Tai, Chengjie Wang:
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation. CoRR abs/2207.06654 (2022) - [i15]Boshen Zhang, Yuxi Li, Yuanpeng Tu, Jinlong Peng, Yabiao Wang, Cunlin Wu, Yang Xiao, Cairong Zhao:
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling. CoRR abs/2208.10683 (2022) - 2021
- [j2]Yufeng Zhang, Lianghui Ding, Yuxi Li, Weiyao Lin, Mingbi Zhao, Xiaoyuan Yu, Yunlong Zhan:
A regional distance regression network for monocular object distance estimation. J. Vis. Commun. Image Represent. 79: 103224 (2021) - [j1]Weiyao Lin, Yuxi Li, Hao Xiao, John See, Junni Zou, Hongkai Xiong, Jingdong Wang, Tao Mei:
Group Reidentification with Multigrained Matching and Integration. IEEE Trans. Cybern. 51(3): 1478-1492 (2021) - [c11]Yuang Zhang, Huanyu He, Jianguo Li, Yuxi Li, John See, Weiyao Lin:
Variational Pedestrian Detection. CVPR 2021: 11622-11631 - [c10]Rui Qian, Yuxi Li, Huabin Liu, John See, Shuangrui Ding, Xian Liu, Dian Li, Weiyao Lin:
Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization. ICCV 2021: 7970-7981 - [c9]Yuxi Li, Boshen Zhang, Jian Li, Yabiao Wang, Weiyao Lin, Chengjie Wang, Jilin Li, Feiyue Huang:
LSTC: Boosting Atomic Action Detection with Long-Short-Term Context. ACM Multimedia 2021: 2158-2166 - [i14]Yuang Zhang, Huanyu He, Jianguo Li, Yuxi Li, John See, Weiyao Lin:
Variational Pedestrian Detection. CoRR abs/2104.12389 (2021) - [i13]Shuyuan Li, Huabin Liu, Rui Qian, Yuxi Li, John See, Mengjuan Fei, Xiaoyuan Yu, Weiyao Lin:
TTAN: Two-Stage Temporal Alignment Network for Few-shot Action Recognition. CoRR abs/2107.04782 (2021) - [i12]Rui Qian, Yuxi Li, Huabin Liu, John See, Shuangrui Ding, Xian Liu, Dian Li, Weiyao Lin:
Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization. CoRR abs/2108.02183 (2021) - [i11]Yuxi Li, Boshen Zhang, Jian Li, Yabiao Wang, Weiyao Lin, Chengjie Wang, Jilin Li, Feiyue Huang:
LSTC: Boosting Atomic Action Detection with Long-Short-Term Context. CoRR abs/2110.09819 (2021) - [i10]Yuxi Li, Ning Xu, Wenjie Yang, John See, Weiyao Lin:
Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective. CoRR abs/2111.01323 (2021) - 2020
- [c8]Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu:
Finding Action Tubes with a Sparse-to-Dense Framework. AAAI 2020: 11466-11473 - [c7]Yuxi Li, Weiyao Lin, John See, Ning Xu, Shugong Xu, Yan Ke, Cong Yang:
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization. ECCV (16) 2020: 510-527 - [c6]Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong:
TRP: Trained Rank Pruning for Efficient Deep Neural Networks. IJCAI 2020: 977-983 - [c5]Yuxi Li, Weiyao Lin, Tao Wang, Qi Guo, Ruijia Yang, Shugong Xu:
Video Summarization via Cluster-Based Object Tracking and Type-Based Synopsis. MIPR 2020: 113-116 - [c4]Yuxi Li, Ning Xu, Jinlong Peng, John See, Weiyao Lin:
Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation. NeurIPS 2020 - [i9]Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong:
TRP: Trained Rank Pruning for Efficient Deep Neural Networks. CoRR abs/2004.14566 (2020) - [i8]Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Guo-Jun Qi, Rui Qian, Tao Wang, Nicu Sebe, Ning Xu, Hongkai Xiong, Mubarak Shah:
Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events. CoRR abs/2005.04490 (2020) - [i7]Yuxi Li, Weiyao Lin, John See, Ning Xu, Shugong Xu, Yan Ke, Cong Yang:
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization. CoRR abs/2008.08332 (2020) - [i6]Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu:
Finding Action Tubes with a Sparse-to-Dense Framework. CoRR abs/2008.13196 (2020) - [i5]Yuxi Li, Ning Xu, Jinlong Peng, John See, Weiyao Lin:
Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation. CoRR abs/2010.12176 (2020)
2010 – 2019
- 2019
- [c3]Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong:
Trained Rank Pruning for Efficient Deep Neural Networks. EMC2@NeurIPS 2019: 14-17 - [i4]Weiyao Lin, Yuxi Li, Hao Xiao, John See, Junni Zou, Hongkai Xiong, Jingdong Wang, Tao Mei:
Group Re-Identification with Multi-grained Matching and Integration. CoRR abs/1905.07108 (2019) - 2018
- [c2]Yuxi Li, Jiuwei Li, Weiyao Lin, Jianguo Li:
Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages. BMVC 2018: 59 - [c1]Jianbo Guo, Yuxi Li, Weiyao Lin, Yurong Chen, Jianguo Li:
Network Decoupling: From Regular to Depthwise Separable Convolutions. BMVC 2018: 248 - [i3]Yuxi Li, Jiuwei Li, Weiyao Lin, Jianguo Li:
Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages. CoRR abs/1807.11013 (2018) - [i2]Jianbo Guo, Yuxi Li, Weiyao Lin, Yurong Chen, Jianguo Li:
Network Decoupling: From Regular to Depthwise Separable Convolutions. CoRR abs/1808.05517 (2018) - [i1]Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong:
Trained Rank Pruning for Efficient Deep Neural Networks. CoRR abs/1812.02402 (2018)
Coauthor Index
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