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2020 – today
- 2024
[j2]Haoyu Xie, Changqi Wang, Jian Zhao, Yang Liu, Jun Dan, Chong Fu, Baigui Sun:
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation. Int. J. Comput. Vis. 132(10): 4343-4361 (2024)- [j1]Zelin Zang
, Shenghui Cheng, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li:
DMT-EV: An Explainable Deep Network for Dimension Reduction. IEEE Trans. Vis. Comput. Graph. 30(3): 1710-1727 (2024) - [c24]Chao Xu, Yang Liu, Jiazheng Xing, Weida Wang, Mingze Sun, Jun Dan, Tianxin Huang, Siyuan Li, Zhi-Qi Cheng, Ying Tai, Baigui Sun:
FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio. CVPR 2024: 1292-1302 - [c23]Pengchong Qiao, Lei Shang, Chang Liu, Baigui Sun, Xiangyang Ji, Jie Chen:
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-Shot Subject-Driven Generation. CVPR 2024: 7215-7224 - [c22]Ziheng Qin, Zhaopan Xu, Yukun Zhou, Zangwei Zheng, Zebang Cheng, Hao Tang, Lei Shang, Baigui Sun, Xiaojiang Peng, Radu Timofte, Hongxun Yao, Kai Wang, Yang You:
Dataset Growth. ECCV (9) 2024: 58-75 - [c21]Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Zhaopan Xu, Daquan Zhou, Lei Shang, Baigui Sun, Xuansong Xie, Yang You:
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning. ICLR 2024 - [i34]Siyuan Li, Luyuan Zhang, Zedong Wang, Di Wu, Lirong Wu, Zicheng Liu, Jun Xia, Cheng Tan, Yang Liu, Baigui Sun, Stan Z. Li:
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. CoRR abs/2401.00897 (2024) - [i33]Siyuan Li, Zicheng Liu, Juanxi Tian, Ge Wang, Zedong Wang, Weiyang Jin, Di Wu, Cheng Tan, Tao Lin, Yang Liu, Baigui Sun, Stan Z. Li:
Switch EMA: A Free Lunch for Better Flatness and Sharpness. CoRR abs/2402.09240 (2024) - [i32]Haoyu Xie, Changqi Wang, Jian Zhao, Yang Liu, Jun Dan, Chong Fu, Baigui Sun:
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation. CoRR abs/2402.18117 (2024) - [i31]Chao Xu, Yang Liu, Jiazheng Xing, Weida Wang, Mingze Sun, Jun Dan, Tianxin Huang, Siyuan Li, Zhi-Qi Cheng, Ying Tai, Baigui Sun:
FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio. CoRR abs/2403.01901 (2024) - [i30]Xiang Huang, Zhi-Qi Cheng, Jun-Yan He, Chenyang Li, Wangmeng Xiang, Baigui Sun, Xiao Wu:
DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception. CoRR abs/2403.05050 (2024) - [i29]Pengchong Qiao, Lei Shang, Chang Liu, Baigui Sun, Xiangyang Ji, Jie Chen:
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation. CoRR abs/2403.06775 (2024) - [i28]Hongbin Xu, Weitao Chen, Feng Xiao, Baigui Sun, Wenxiong Kang:
StyleDyRF: Zero-shot 4D Style Transfer for Dynamic Neural Radiance Fields. CoRR abs/2403.08310 (2024) - [i27]Mingze Sun, Chao Xu, Xinyu Jiang, Yang Liu, Baigui Sun, Ruqi Huang:
Beyond Talking - Generating Holistic 3D Human Dyadic Motion for Communication. CoRR abs/2403.19467 (2024) - [i26]Jiazheng Xing, Chao Xu, Yijie Qian, Yang Liu, Guang Dai, Baigui Sun, Yong Liu, Jingdong Wang:
TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On. CoRR abs/2404.00878 (2024) - [i25]Hongbin Xu, Weitao Chen, Baigui Sun, Xuansong Xie, Wenxiong Kang:
RobustMVS: Single Domain Generalized Deep Multi-view Stereo. CoRR abs/2405.09131 (2024) - [i24]Ziheng Qin, Zhaopan Xu, Yukun Zhou, Zangwei Zheng, Zebang Cheng, Hao Tang, Lei Shang, Baigui Sun, Xiaojiang Peng, Radu Timofte, Hongxun Yao, Kai Wang, Yang You:
Dataset Growth. CoRR abs/2405.18347 (2024) - [i23]Chao Xu, Mingze Sun, Zhi-Qi Cheng, Fei Wang, Yang Liu, Baigui Sun, Ruqi Huang, Alexander Hauptmann:
Combo: Co-speech holistic 3D human motion generation and efficient customizable adaptation in harmony. CoRR abs/2408.09397 (2024) - 2023
- [c20]Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Wang Steven, Baigui Sun, Xuansong Xie, Yu Qiao:
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling. AAAI 2023: 15082-15090 - [c19]Yang Liu, Zhipeng Zhou, Baigui Sun:
COT: Unsupervised Domain Adaptation with Clustering and Optimal Transport. CVPR 2023: 19998-20007 - [c18]Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li:
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier. ICCV 2023: 11824-11833 - [c17]Zisheng Chen, Hongbin Xu, Weitao Chen, Zhipeng Zhou, Haihong Xiao, Baigui Sun, Xuansong Xie, Wenxiong Kang:
PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering. ICCV 2023: 14244-14253 - [c16]Jun Dan, Yang Liu, Haoyu Xie, Jiankang Deng, Haoran Xie, Xuansong Xie, Baigui Sun:
TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective. ICCV 2023: 20585-20596 - [c15]Yang Liu, Jiankang Deng, Fei Wang, Lei Shang, Xuansong Xie, Baigui Sun:
DamoFD: Digging into Backbone Design on Face Detection. ICLR 2023 - [c14]Weitao Chen, Hongbin Xu, Zhipeng Zhou, Yang Liu, Baigui Sun, Wenxiong Kang, Xuansong Xie:
CostFormer: Cost Transformer for Cost Aggregation in Multi-view Stereo. IJCAI 2023: 599-608 - [c13]Hongbin Xu, Weitao Chen, Yang Liu, Zhipeng Zhou, Haihong Xiao, Baigui Sun, Xuansong Xie, Wenxiong Kang:
Semi-supervised Deep Multi-view Stereo. ACM Multimedia 2023: 4616-4625 - [c12]Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche:
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning. NeurIPS 2023 - [i22]Jian Zhao, Jianan Li, Lei Jin, Jiaming Chu, Zhihao Zhang, Jun Wang, Jiangqiang Xia, Kai Wang, Yang Liu, Sadaf Gulshad, Jiaojiao Zhao, Tianyang Xu, Xuefeng Zhu, Shihan Liu, Zheng Zhu, Guibo Zhu, Zechao Li, Zheng Wang, Baigui Sun, Yandong Guo, Shinichi Satoh, Junliang Xing, Jane Shengmei Shen:
The 3rd Anti-UAV Workshop & Challenge: Methods and Results. CoRR abs/2305.07290 (2023) - [i21]Weitao Chen, Hongbin Xu, Zhipeng Zhou, Yang Liu, Baigui Sun, Wenxiong Kang, Xuansong Xie:
CostFormer: Cost Transformer for Cost Aggregation in Multi-view Stereo. CoRR abs/2305.10320 (2023) - [i20]Jun Dan, Yang Liu, Haoyu Xie, Jiankang Deng, Haoran Xie, Xuansong Xie, Baigui Sun:
TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective. CoRR abs/2308.10133 (2023) - [i19]Yang Liu, Cheng Yu, Lei Shang, Ziheng Wu, Xingjun Wang, Yuze Zhao, Lin Zhu, Chen Cheng, Weitao Chen, Chao Xu, Haoyu Xie, Yuan Yao, Wenmeng Zhou, Yingda Chen, Xuansong Xie, Baigui Sun:
FaceChain: A Playground for Identity-Preserving Portrait Generation. CoRR abs/2308.14256 (2023) - [i18]Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche:
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning. CoRR abs/2310.17139 (2023) - 2022
- [c11]Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You:
TransZero: Attribute-Guided Transformer for Zero-Shot Learning. AAAI 2022: 330-338 - [c10]Kai Wang, Shuo Wang, Panpan Zhang, Zhipeng Zhou, Zheng Zhu, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You:
An Efficient Training Approach for Very Large Scale Face Recognition. CVPR 2022: 4073-4082 - [c9]Yang Liu, Fei Wang, Jiankang Deng, Zhipeng Zhou, Baigui Sun, Hao Li:
MogFace: Towards a Deeper Appreciation on Face Detection. CVPR 2022: 4083-4092 - [c8]Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
DLME: Deep Local-Flatness Manifold Embedding. ECCV (21) 2022: 576-592 - [i17]Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. CoRR abs/2205.13943 (2022) - [i16]Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
DLME: Deep Local-flatness Manifold Embedding. CoRR abs/2207.03160 (2022) - [i15]Hongbin Xu, Zhipeng Zhou, Weitao Cheng, Baigui Sun, Hao Li, Wenxiong Kang:
Semi-supervised Deep Multi-view Stereo. CoRR abs/2207.11699 (2022) - [i14]Zelin Zang, Shenghui Cheng, Linyan Lu, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li:
EVNet: An Explainable Deep Network for Dimension Reduction. CoRR abs/2211.15478 (2022) - [i13]Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Fei Wang, Baigui Sun, Xuansong Xie, Yu Qiao:
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling. CoRR abs/2212.01015 (2022) - 2021
- [c7]Hongbin Xu, Zhipeng Zhou, Yali Wang, Wenxiong Kang, Baigui Sun, Hao Li, Yu Qiao:
Digging into Uncertainty in Self-supervised Multi-view Stereo. ICCV 2021: 6058-6067 - [c6]Kai Wang, Shuo Wang, Jianfei Yang, Xiaobo Wang, Baigui Sun, Hao Li, Yang You:
Mask Aware Network for Masked Face Recognition in the Wild. ICCVW 2021: 1456-1461 - [c5]Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yufeng Li, Baigui Sun, Hao Li, Rong Jin:
Dash: Semi-Supervised Learning with Dynamic Thresholding. ICML 2021: 11525-11536 - [c4]Shiming Chen, Guo-Sen Xie, Yang Liu, Qinmu Peng, Baigui Sun, Hao Li, Xinge You, Ling Shao:
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning. NeurIPS 2021: 16622-16634 - [i12]Yang Liu, Fei Wang, Baigui Sun, Hao Li:
MogFace: Rethinking Scale Augmentation on the Face Detector. CoRR abs/2103.11139 (2021) - [i11]Jinxing Ye, Xiaojiang Peng, Baigui Sun, Kai Wang, Xiuyu Sun, Hao Li, Hanqing Wu:
Learning to Cluster Faces via Transformer. CoRR abs/2104.11502 (2021) - [i10]Kai Wang, Shuo Wang, Zhipeng Zhou, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You:
An Efficient Training Approach for Very Large Scale Face Recognition. CoRR abs/2105.10375 (2021) - [i9]Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment. CoRR abs/2106.15788 (2021) - [i8]Hongbin Xu, Zhipeng Zhou, Yali Wang, Wenxiong Kang, Baigui Sun, Hao Li, Yu Qiao:
Digging into Uncertainty in Self-supervised Multi-view Stereo. CoRR abs/2108.12966 (2021) - [i7]Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin:
Dash: Semi-Supervised Learning with Dynamic Thresholding. CoRR abs/2109.00650 (2021) - [i6]Shiming Chen, Guo-Sen Xie, Qinmu Peng, Yang Liu, Baigui Sun, Hao Li, Xinge You, Ling Shao:
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning. CoRR abs/2109.15163 (2021) - [i5]Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You:
TransZero: Attribute-guided Transformer for Zero-Shot Learning. CoRR abs/2112.01683 (2021) - 2020
- [i4]Kai Wang, Yuxin Gu, Xiaojiang Peng, Baigui Sun, Hao Li:
AU-Guided Unsupervised Domain Adaptive Facial Expression Recognition. CoRR abs/2012.10078 (2020)
2010 – 2019
- 2019
- [c3]Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li:
Robust Optimization over Multiple Domains. AAAI 2019: 4739-4746 - [c2]Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin:
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. ICCV 2019: 6449-6457 - [i3]Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin:
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. CoRR abs/1909.05235 (2019) - 2018
- [i2]Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li:
Robust Optimization over Multiple Domains. CoRR abs/1805.07588 (2018) - 2016
- [c1]Junxuan Chen, Baigui Sun, Hao Li, Hongtao Lu, Xian-Sheng Hua:
Deep CTR Prediction in Display Advertising. ACM Multimedia 2016: 811-820 - [i1]Junxuan Chen, Baigui Sun, Hao Li, Hongtao Lu, Xian-Sheng Hua:
Deep CTR Prediction in Display Advertising. CoRR abs/1609.06018 (2016)
Coauthor Index
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last updated on 2024-10-31 20:17 CET by the dblp team
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