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ORCIDSong Bai
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j51]Yizhen Jia
, Rong Quan, Haiyan Chen, Jiamei Liu, Yichao Yan, Song Bai, Jie Qin:
Disaggregation Distillation for Person Search. IEEE Trans. Multim. 27: 158-170 (2025)- [i86]Haoxin Li, Yingchen Yu, Qilong Wu, Hanwang Zhang, Song Bai, Boyang Li:
Learning to Animate Images from A Few Videos to Portray Delicate Human Actions. CoRR abs/2503.00276 (2025) - [i85]Henghui Ding, Chang Liu, Nikhila Ravi, Shuting He, Yunchao Wei, Song Bai, Philip Torr, Kehuan Song, Xinglin Xie, Kexin Zhang, Licheng Jiao, Lingling Li, Shuyuan Yang, Xuqiang Cao, Linnan Zhao, Jiaxuan Zhao, Fang Liu, Mengjiao Wang, Junpei Zhang, Xu Liu, Yuting Yang, Mengru Ma, Hao Fang, Runmin Cong, Xiankai Lu, Zhiyang Chen, Wei Zhang, Tianming Liang, Haichao Jiang, Wei-Shi Zheng, Jian-Fang Hu, Haobo Yuan, Xiangtai Li, Tao Zhang, Lu Qi, Ming-Hsuan Yang:
PVUW 2025 Challenge Report: Advances in Pixel-level Understanding of Complex Videos in the Wild. CoRR abs/2504.11326 (2025) - 2024
- [j50]Xin Wang, Hongyan Zhang, Qianhe Liu, Wei Gong, Song Bai, Hezhen You:
You-Only-Look-Once Multiple-Strategy Printed Circuit Board Defect Detection Model. IEEE Multim. 31(1): 76-87 (2024) - [j49]Yujun Shi, Jian Liang, Wenqing Zhang, Chuhui Xue, Vincent Y. F. Tan, Song Bai:
Understanding and Mitigating Dimensional Collapse in Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2936-2949 (2024) - [j48]Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian:
CenterNet++ for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3509-3521 (2024) - [j47]Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi:
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8517-8533 (2024) - [j46]Yansheng Li, Junwei Luo, Yongjun Zhang, Yihua Tan, Jin-Gang Yu, Song Bai:
Learning to Holistically Detect Bridges From Large-Size VHR Remote Sensing Imagery. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11507-11523 (2024) - [j45]Xinwei He, Silin Cheng, Dingkang Liang, Song Bai, Xi Wang, Yingying Zhu:
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D shape recognition. Pattern Recognit. 151: 110413 (2024) - [j44]Song Bai, Ying Zeng, Tudi Huang, Ke Wang, Hong-Zhong Huang:
A reliability analysis and optimization method for a turbine shaft under combined high and low cycle fatigue loading. Qual. Reliab. Eng. Int. 40(5): 2367-2380 (2024) - [j43]Song Bai, Ying Zeng, Tudi Huang, Yan-Feng Li, Hong-Zhong Huang:
Probabilistic LCF life prediction framework for turbine discs considering random load history. Qual. Reliab. Eng. Int. 40(6): 3161-3172 (2024) - [j42]Yun Wang, Yan-Feng Li, Hong-Zhong Huang, Song Bai:
An AK-MCS-based probabilistic fatigue life prediction framework for turbine disc with a mean stress correction model. Qual. Reliab. Eng. Int. 40(6): 3238-3252 (2024) - [j41]Tianxing Wang, Yan-Feng Li, Hong-Zhong Huang, Song Bai:
A weakest link theory-based probabilistic fatigue life prediction method for the turbine disc considering the influence of the number of critical sections. Qual. Reliab. Eng. Int. 40(8): 4321-4334 (2024) - [j40]Qiang Li, Song Bai, Miaowen Wen, Dong Huang:
RIS-Based Code Index Modulation for Joint Active/Passive Transmission. IEEE Trans. Veh. Technol. 73(5): 7316-7321 (2024) - [c72]Junfeng Wu, Yi Jiang, Qihao Liu, Zehuan Yuan, Xiang Bai, Song Bai:
General Object Foundation Model for Images and Videos at Scale. CVPR 2024: 3783-3795 - [c71]Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan L. Yuille:
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. CVPR 2024: 6881-6891 - [c70]Yujun Shi, Chuhui Xue, Jun Hao Liew, Jiachun Pan, Hanshu Yan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai:
DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing. CVPR 2024: 8839-8849 - [c69]David Junhao Zhang, Mutian Xu, Jay Zhangjie Wu, Chuhui Xue, Wenqing Zhang, Xiaoguang Han, Song Bai, Mike Zheng Shou:
Free-ATM: Harnessing Free Attention Masks for Representation Learning on Diffusion-Generated Images. ECCV (40) 2024: 465-482 - [c68]Junyi Li, Junfeng Wu, Weizhi Zhao, Song Bai, Xiang Bai:
PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects. ECCV (75) 2024: 475-494 - [c67]Yuanjie Zhuy, Hussah Alrashid, Song Bai, Chunhan Zhang, Ziliang Zhang, Zhengyi Qu, Reem Y. Ali, Amr Magdy:
On the Ecosystem of High-Definition (HD) Maps. ICDEW 2024: 40-47 - [c66]Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille:
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search. ICLR 2024 - [i84]Song Bai, Jie Li:
Progress and Prospects in 3D Generative AI: A Technical Overview including 3D human. CoRR abs/2401.02620 (2024) - [i83]Ruifei He, Chuhui Xue, Haoru Tan, Wenqing Zhang, Yingchen Yu, Song Bai, Xiaojuan Qi:
Debiasing Text-to-Image Diffusion Models. CoRR abs/2402.14577 (2024) - [i82]Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, Alan L. Yuille:
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. CoRR abs/2406.04322 (2024) - [i81]Henghui Ding, Chang Liu, Yunchao Wei, Nikhila Ravi, Shuting He, Song Bai, Philip Torr, Deshui Miao, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Zhensong Xu, Jiangtao Yao, Chengjing Wu, Ting Liu, Luoqi Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Licheng Jiao, Shuyuan Yang, Mingqi Gao, Jingnan Luo, Jinyu Yang, Jungong Han, Feng Zheng, Bin Cao, Yisi Zhang, Xuanxu Lin, Xingjian He, Bo Zhao, Jing Liu, Feiyu Pan, Hao Fang, Xiankai Lu:
PVUW 2024 Challenge on Complex Video Understanding: Methods and Results. CoRR abs/2406.17005 (2024) - [i80]Junyi Li, Junfeng Wu, Weizhi Zhao, Song Bai, Xiang Bai:
PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects. CoRR abs/2407.16696 (2024) - [i79]Junfeng Wu, Yi Jiang, Chuofan Ma, Yuliang Liu, Hengshuang Zhao, Zehuan Yuan, Song Bai, Xiang Bai:
Liquid: Language Models are Scalable Multi-modal Generators. CoRR abs/2412.04332 (2024) - 2023
- [j39]Song Bai, Philip H. S. Torr, Ranjay Krishna, Li Fei-Fei, Abhinav Gupta, Song-Chun Zhu:
Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6867-6869 (2023) - [j38]Shuyang Sun, Xiaoyu Yue, Hengshuang Zhao, Philip H. S. Torr, Song Bai:
Patch-Based Separable Transformer for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9241-9247 (2023) - [j37]Chuhui Xue, Jiaxing Huang, Wenqing Zhang, Shijian Lu, Changhu Wang, Song Bai:
Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12908-12921 (2023) - [j36]Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr:
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14727-14744 (2023) - [j35]Song Bai, Tudi Huang, Yan-Feng Li, Ning Lu, Hong-Zhong Huang:
A probabilistic fatigue life prediction method under random combined high and low cycle fatigue load history. Reliab. Eng. Syst. Saf. 238: 109452 (2023) - [j34]Tianyu Zhang, Xin Jin, Song Bai, Yuxin Peng, Ye Li, Jun Zhang:
Smart Public Transportation Sensing: Enhancing Perception and Data Management for Efficient and Safety Operations. Sensors 23(22): 9228 (2023) - [j33]Weikang Gong, Song Bai, Ying-Qiu Zheng, Stephen M. Smith, Christian F. Beckmann:
Supervised Phenotype Discovery From Multimodal Brain Imaging. IEEE Trans. Medical Imaging 42(3): 834-849 (2023) - [j32]Qiang Li, Song Bai, Jun Li, Zeng Hu, Junfeng Wang:
RIS-Assisted Joint Active and Passive Transmission With Distributed Reception. IEEE Trans. Veh. Technol. 72(5): 6805-6809 (2023) - [c65]Song Bai, Qiang Li, Donghong Cai, Yu Huang:
RIS-Empowered Phase and Code Index Modulation. ICCCS 2023: 6-11 - [c64]Qihao Liu, Junfeng Wu, Yi Jiang, Xiang Bai, Alan L. Yuille, Song Bai:
InstMove: Instance Motion for Object-centric Video Segmentation. CVPR 2023: 6344-6354 - [c63]Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi:
PLA: Language-Driven Open-Vocabulary 3D Scene Understanding. CVPR 2023: 7010-7019 - [c62]Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou:
SRFormer: Permuted Self-Attention for Single Image Super-Resolution. ICCV 2023: 12734-12745 - [c61]Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Philip H. S. Torr, Song Bai:
MOSE: A New Dataset for Video Object Segmentation in Complex Scenes. ICCV 2023: 20167-20177 - [c60]Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip H. S. Torr, Song Bai, Xiaojuan Qi:
Is Synthetic Data from Generative Models Ready for Image Recognition? ICLR 2023 - [c59]Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai:
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. ICLR 2023 - [c58]Eric Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou:
PV3D: A 3D Generative Model for Portrait Video Generation. ICLR 2023 - [c57]Jing Jia, Heng Nie, Song Bai, Xu Xia, Yanxia Xing, Yang Liu:
A network architecture for carrying terminal functions on 5G and 6G satellites. IWCMC 2023: 1297-1301 - [c56]Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang:
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation. NeurIPS 2023 - [i78]Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Philip H. S. Torr, Song Bai:
MOSE: A New Dataset for Video Object Segmentation in Complex Scenes. CoRR abs/2302.01872 (2023) - [i77]Qihao Liu, Junfeng Wu, Yi Jiang, Xiang Bai, Alan L. Yuille, Song Bai:
InstMove: Instance Motion for Object-centric Video Segmentation. CoRR abs/2303.08132 (2023) - [i76]Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou:
SRFormer: Permuted Self-Attention for Single Image Super-Resolution. CoRR abs/2303.09735 (2023) - [i75]Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille:
Intriguing Properties of Text-guided Diffusion Models. CoRR abs/2306.00974 (2023) - [i74]Yujun Shi, Chuhui Xue, Jiachun Pan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai:
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing. CoRR abs/2306.14435 (2023) - [i73]Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi:
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding. CoRR abs/2308.00353 (2023) - [i72]David Junhao Zhang, Mutian Xu, Chuhui Xue, Wenqing Zhang, Xiaoguang Han, Song Bai, Mike Zheng Shou:
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks. CoRR abs/2308.06739 (2023) - [i71]David Junhao Zhang, Heng Wang, Chuhui Xue, Rui Yan, Wenqing Zhang, Song Bai, Mike Zheng Shou:
Dataset Condensation via Generative Model. CoRR abs/2309.07698 (2023) - [i70]Yansheng Li, Junwei Luo, Yongjun Zhang, Yihua Tan, Jin-Gang Yu, Song Bai:
Learning to Holistically Detect Bridges from Large-Size VHR Remote Sensing Imagery. CoRR abs/2312.02481 (2023) - [i69]Junfeng Wu, Yi Jiang, Qihao Liu, Zehuan Yuan, Xiang Bai, Song Bai:
General Object Foundation Model for Images and Videos at Scale. CoRR abs/2312.09158 (2023) - 2022
- [j31]Song Bai, Craig A. Schroeder:
Stability analysis of explicit MPM. Comput. Graph. Forum 41(8): 19-30 (2022) - [j30]Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Xiang Bai, Masayoshi Tomizuka:
AutoScale: Learning to Scale for Crowd Counting. Int. J. Comput. Vis. 130(2): 405-434 (2022) - [j29]Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation: A Benchmark. Int. J. Comput. Vis. 130(8): 2022-2039 (2022) - [j28]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 4(4): 413 (2022) - [j27]Xiaolong Liu, Qimeng Wang, Yao Hu, Xu Tang, Shiwei Zhang, Song Bai, Xiang Bai:
End-to-End Temporal Action Detection With Transformer. IEEE Trans. Image Process. 31: 5427-5441 (2022) - [j26]Xiaofeng Liu, Yunhong Lu, Xiongchang Liu, Song Bai, Site Li, Jane You:
Wasserstein Loss With Alternative Reinforcement Learning for Severity-Aware Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 23(1): 587-596 (2022) - [c55]Chuhui Xue, Zichen Tian, Fangneng Zhan, Shijian Lu, Song Bai:
Fourier Document Restoration for Robust Document Dewarping and Recognition. CVPR 2022: 4563-4572 - [c54]Ruifei He, Shuyang Sun, Jihan Yang, Song Bai, Xiaojuan Qi:
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability. CVPR 2022: 9151-9161 - [c53]Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai:
TransMix: Attend to Mix for Vision Transformers. CVPR 2022: 12125-12134 - [c52]Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan:
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. CVPR 2022: 16701-16710 - [c51]Xiaolong Liu, Song Bai, Xiang Bai:
An Empirical Study of End-to-End Temporal Action Detection. CVPR 2022: 19978-19987 - [c50]Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo:
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. CVPR 2022: 20961-20970 - [c49]Donglai Wei, Siddhant Kharbanda, Sarthak Arora, Roshan Roy, Nishant Jain, Akash Palrecha, Tanav Shah, Shray Mathur, Ritik Mathur, Abhijay Kemkar, Anirudh Srinivasan Chakravarthy, Zudi Lin, Won-Dong Jang, Yansong Tang, Song Bai, James Tompkin, Philip H. S. Torr, Hanspeter Pfister:
YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset. CVPR 2022: 21012-21021 - [c48]Chuhui Xue, Wenqing Zhang, Yu Hao, Shijian Lu, Philip H. S. Torr, Song Bai:
Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting. ECCV (28) 2022: 284-302 - [c47]Chuhui Xue, Jiaxing Huang, Wenqing Zhang, Shijian Lu, Changhu Wang, Song Bai:
Contextual Text Block Detection Towards Scene Text Understanding. ECCV (28) 2022: 374-391 - [c46]Qihao Liu, Yi Zhang, Song Bai, Alan L. Yuille:
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation. ECCV (5) 2022: 497-517 - [c45]Junfeng Wu, Yi Jiang, Song Bai, Wenqing Zhang, Xiang Bai:
SeqFormer: Sequential Transformer for Video Instance Segmentation. ECCV (28) 2022: 553-569 - [c44]Junfeng Wu, Qihao Liu, Yi Jiang, Song Bai, Alan L. Yuille, Xiang Bai:
In Defense of Online Models for Video Instance Segmentation. ECCV (28) 2022: 588-605 - [i68]Chuhui Xue, Yu Hao, Shijian Lu, Philip H. S. Torr, Song Bai:
Language Matters: A Weakly Supervised Pre-training Approach for Scene Text Detection and Spotting. CoRR abs/2203.03911 (2022) - [i67]Ruifei He, Shuyang Sun, Jihan Yang, Song Bai, Xiaojuan Qi:
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability. CoRR abs/2203.05180 (2022) - [i66]Chuhui Xue, Zichen Tian, Fangneng Zhan, Shijian Lu, Song Bai:
Fourier Document Restoration for Robust Document Dewarping and Recognition. CoRR abs/2203.09910 (2022) - [i65]Xiaolong Liu, Song Bai, Xiang Bai:
An Empirical Study of End-to-End Temporal Action Detection. CoRR abs/2204.02932 (2022) - [i64]Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian:
CenterNet++ for Object Detection. CoRR abs/2204.08394 (2022) - [i63]Jiahui Zhang, Fangneng Zhan, Rongliang Wu, Yingchen Yu, Wenqing Zhang, Song Bai, Xiaoqin Zhang, Shijian Lu:
VMRF: View Matching Neural Radiance Fields. CoRR abs/2207.02621 (2022) - [i62]Junfeng Wu, Qihao Liu, Yi Jiang, Song Bai, Alan L. Yuille, Xiang Bai:
In Defense of Online Models for Video Instance Segmentation. CoRR abs/2207.10661 (2022) - [i61]Chuhui Xue, Jiaxing Huang, Shijian Lu, Changhu Wang, Song Bai:
Contextual Text Block Detection towards Scene Text Understanding. CoRR abs/2207.12955 (2022) - [i60]Qihao Liu, Yi Zhang, Song Bai, Alan L. Yuille:
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation. CoRR abs/2208.00090 (2022) - [i59]Zhangzi Zhu, Yu Hao, Wenqing Zhang, Chuhui Xue, Song Bai:
Runner-Up Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: Cropped Word Recognition. CoRR abs/2208.02747 (2022) - [i58]Zhangzi Zhu, Chuhui Xue, Yu Hao, Wenqing Zhang, Song Bai:
1st Place Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: End-to-End Recognition of Out of Vocabulary Words. CoRR abs/2209.00224 (2022) - [i57]Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai:
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning. CoRR abs/2210.00226 (2022) - [i56]Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip H. S. Torr, Song Bai, Xiaojuan Qi:
Is synthetic data from generative models ready for image recognition? CoRR abs/2210.07574 (2022) - [i55]Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr:
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning. CoRR abs/2210.12971 (2022) - [i54]Junfeng Wu, Yi Jiang, Qihao Liu, Xiang Bai, Song Bai:
The Runner-up Solution for YouTube-VIS Long Video Challenge 2022. CoRR abs/2211.09973 (2022) - [i53]Shuyang Sun, Jieneng Chen, Ruifei He, Alan L. Yuille, Philip H. S. Torr, Song Bai:
LUMix: Improving Mixup by Better Modelling Label Uncertainty. CoRR abs/2211.15846 (2022) - [i52]Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi:
Language-driven Open-Vocabulary 3D Scene Understanding. CoRR abs/2211.16312 (2022) - [i51]Eric Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou:
PV3D: A 3D Generative Model for Portrait Video Generation. CoRR abs/2212.06384 (2022) - 2021
- [j25]Cong Fang, Song Bai, Qianlan Chen, Yu Zhou, Liming Xia, Lixin Qin, Shi Gong, Xudong Xie, Chunhua Zhou, Dandan Tu, Changzheng Zhang, Xiaowu Liu, Weiwei Chen, Xiang Bai, Philip H. S. Torr:
Deep learning for predicting COVID-19 malignant progression. Medical Image Anal. 72: 102096 (2021) - [j24]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 3(12): 1081-1089 (2021) - [j23]Nan Xue, Song Bai, Fu-Dong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang, Philip H. S. Torr:
Learning Regional Attraction for Line Segment Detection. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1998-2013 (2021) - [j22]Song Bai, Yingwei Li, Yuyin Zhou, Qizhu Li, Philip H. S. Torr:
Adversarial Metric Attack and Defense for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2119-2126 (2021) - [j21]Song Bai, Feihu Zhang, Philip H. S. Torr:
Hypergraph convolution and hypergraph attention. Pattern Recognit. 110: 107637 (2021) - [c43]Haochen Wang, Xiaolong Jiang, Haibing Ren, Yao Hu, Song Bai:
SwiftNet: Real-Time Video Object Segmentation. CVPR 2021: 1296-1305 - [c42]Yichao Yan, Jinpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CVPR 2021: 7690-7699 - [c41]Xiaolong Liu, Yao Hu, Song Bai, Fei Ding, Xiang Bai, Philip H. S. Torr:
Multi-Shot Temporal Event Localization: A Benchmark. CVPR 2021: 12596-12606 - [c40]Bin Tan, Nan Xue, Song Bai, Tianfu Wu, Gui-Song Xia:
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery. ICCV 2021: 4166-4175 - [c39]Cheng Chen, Jiayin Cai, Yao Hu, Xu Tang, Xinggang Wang, Chun Yuan, Xiang Bai, Song Bai:
Deep Interactive Video Inpainting: An Invisibility Cloak for Harry Potter. ACM Multimedia 2021: 862-870 - [c38]Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge. NeurIPS Datasets and Benchmarks 2021 - [i50]Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation. CoRR abs/2102.01558 (2021) - [i49]Haochen Wang, Xiaolong Jiang, Haibing Ren, Yao Hu, Song Bai:
SwiftNet: Real-time Video Object Segmentation. CoRR abs/2102.04604 (2021) - [i48]Yichao Yan, Jingpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao:
Anchor-Free Person Search. CoRR abs/2103.11617 (2021) - [i47]Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian:
Location-Sensitive Visual Recognition with Cross-IOU Loss. CoRR abs/2104.04899 (2021) - [i46]Chuhui Xue, Shijian Lu, Song Bai, Wenqing Zhang, Changhu Wang:
I2C2W: Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition. CoRR abs/2105.08383 (2021) - [i45]Xiaolong Liu, Qimeng Wang, Yao Hu, Xu Tang, Song Bai, Xiang Bai:
End-to-end Temporal Action Detection with Transformer. CoRR abs/2106.10271 (2021) - [i44]Shuyang Sun, Xiaoyu Yue, Song Bai, Philip H. S. Torr:
Visual Parser: Representing Part-whole Hierarchies with Transformers. CoRR abs/2107.05790 (2021) - [i43]Bin Tan, Nan Xue, Song Bai, Tianfu Wu, Gui-Song Xia:
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery. CoRR abs/2107.13108 (2021) - [i42]Xinwei He, Silin Cheng, Song Bai, Xiang Bai:
CAP-Net: Correspondence-Aware Point-view Fusion Network for 3D Shape Analysis. CoRR abs/2109.01291 (2021) - [i41]Anirudh Srinivasan Chakravarthy, Won-Dong Jang, Zudi Lin, Donglai Wei, Song Bai, Hanspeter Pfister:
Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation. CoRR abs/2111.07529 (2021) - [i40]Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai:
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge. CoRR abs/2111.07950 (2021) - [i39]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia:
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. CoRR abs/2111.09461 (2021) - [i38]Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai:
TransMix: Attend to Mix for Vision Transformers. CoRR abs/2111.09833 (2021) - [i37]Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo:
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. CoRR abs/2111.14690 (2021) - [i36]Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan:
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. CoRR abs/2112.04731 (2021) - [i35]Junfeng Wu, Yi Jiang, Wenqing Zhang, Xiang Bai, Song Bai:
SeqFormer: a Frustratingly Simple Model for Video Instance Segmentation. CoRR abs/2112.08275 (2021) - 2020
- [j20]Juefei Yuan, Hameed Abdul-Rashid, Bo Li, Yijuan Lu, Tobias Schreck, Song Bai, Xiang Bai, Ngoc-Minh Bui, Minh N. Do, Trong-Le Do, Anh Duc Duong, Kai He, Xinwei He, Mike Holenderski, Dmitri Jarnikov, Tu-Khiem Le, Wenhui Li, Anan Liu, Zhichao Zhou:
A comparison of methods for 3D scene shape retrieval. Comput. Vis. Image Underst. 201: 103070 (2020) - [j19]Yueyang Zhao, Li Fang, Lei Cui, Song Bai:
Application of data mining for predicting hemodynamics instability during pheochromocytoma surgery. BMC Medical Informatics Decis. Mak. 20(1): 165 (2020) - [j18]Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille:
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 176-191 (2020) - [j17]Xinwei He, Song Bai, Jiajia Chu, Xiang Bai:
An Improved Multi-View Convolutional Neural Network for 3D Object Retrieval. IEEE Trans. Image Process. 29: 7917-7930 (2020) - [c37]Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille:
Learning Transferable Adversarial Examples via Ghost Networks. AAAI 2020: 11458-11465 - [c36]Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Jun Lu:
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training. AAAI 2020: 11629-11636 - [c35]Hao Tang, Song Bai, Philip H. S. Torr, Nicu Sebe:
Bipartite Graph Reasoning GANs for Person Image Generation. BMVC 2020 - [c34]Nan Xue, Tianfu Wu, Song Bai, Fudong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr:
Holistically-Attracted Wireframe Parsing. CVPR 2020: 2785-2794 - [c33]Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille:
Neural Architecture Search for Lightweight Non-Local Networks. CVPR 2020: 10294-10303 - [c32]Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian:
Corner Proposal Network for Anchor-Free, Two-Stage Object Detection. ECCV (3) 2020: 399-416 - [c31]Hao Tang, Song Bai, Li Zhang, Philip H. S. Torr, Nicu Sebe:
XingGAN for Person Image Generation. ECCV (25) 2020: 717-734 - [c30]Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille:
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. ECCV (11) 2020: 795-813 - [c29]Feihu Zhang, Chenye Guan, Jin Fang, Song Bai, Ruigang Yang, Philip H. S. Torr, Victor Prisacariu:
Instance Segmentation of LiDAR Point Clouds. ICRA 2020: 9448-9455 - [c28]Hao Tang, Song Bai, Nicu Sebe:
Dual Attention GANs for Semantic Image Synthesis. ACM Multimedia 2020: 1994-2002 - [i34]Nan Xue, Tianfu Wu, Song Bai, Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr:
Holistically-Attracted Wireframe Parsing. CoRR abs/2003.01663 (2020) - [i33]Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille:
Neural Architecture Search for Lightweight Non-Local Networks. CoRR abs/2004.01961 (2020) - [i32]Hao Tang, Song Bai, Li Zhang, Philip H. S. Torr, Nicu Sebe:
XingGAN for Person Image Generation. CoRR abs/2007.09278 (2020) - [i31]Wenqing Zhang, Yang Qiu, Song Bai, Rui Zhang, Xiaolin Wei, Xiang Bai:
FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition. CoRR abs/2007.11462 (2020) - [i30]Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian:
Corner Proposal Network for Anchor-free, Two-stage Object Detection. CoRR abs/2007.13816 (2020) - [i29]Hao Tang, Song Bai, Philip H. S. Torr, Nicu Sebe:
Bipartite Graph Reasoning GANs for Person Image Generation. CoRR abs/2008.04381 (2020) - [i28]Xiaofeng Liu, Yimeng Zhang, Xiongchang Liu, Song Bai, Site Li, Jane You:
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving. CoRR abs/2008.04751 (2020) - [i27]Hao Tang, Song Bai, Nicu Sebe:
Dual Attention GANs for Semantic Image Synthesis. CoRR abs/2008.13024 (2020) - [i26]Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Ju Lu:
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training. CoRR abs/2010.12440 (2020) - [i25]Xiaolong Liu, Yao Hu, Song Bai, Fei Ding, Xiang Bai, Philip H. S. Torr:
Multi-shot Temporal Event Localization: a Benchmark. CoRR abs/2012.09434 (2020)
2010 – 2019
- 2019
- [j16]Tengteng Huang, Yongchao Xu, Song Bai, Yongpan Wang, Xiang Bai:
Feature context learning for human parsing. Sci. China Inf. Sci. 62(12): 220101 (2019) - [j15]Song Bai, Xiang Bai, Qi Tian, Longin Jan Latecki:
Regularized Diffusion Process on Bidirectional Context for Object Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1213-1226 (2019) - [j14]Zongxiao Zhu, Cong Rao, Song Bai, Longin Jan Latecki:
Training convolutional neural network from multi-domain contour images for 3D shape retrieval. Pattern Recognit. Lett. 119: 41-48 (2019) - [j13]Song Bai, Zhichao Zhou, Jingdong Wang, Xiang Bai, Longin Jan Latecki, Qi Tian:
Automatic Ensemble Diffusion for 3D Shape and Image Retrieval. IEEE Trans. Image Process. 28(1): 88-101 (2019) - [c27]Song Bai, Peng Tang, Philip H. S. Torr, Longin Jan Latecki:
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification. CVPR 2019: 740-749 - [c26]Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang:
Learning Attraction Field Representation for Robust Line Segment Detection. CVPR 2019: 1595-1603 - [c25]Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, Alan L. Yuille:
Improving Transferability of Adversarial Examples With Input Diversity. CVPR 2019: 2730-2739 - [c24]Zhen Zhu, Mengdu Xu, Song Bai, Tengteng Huang, Xiang Bai:
Asymmetric Non-Local Neural Networks for Semantic Segmentation. ICCV 2019: 593-602 - [c23]Zhao Yang, Qiang Wang, Luca Bertinetto, Song Bai, Weiming Hu, Philip H. S. Torr:
Anchor Diffusion for Unsupervised Video Object Segmentation. ICCV 2019: 931-940 - [c22]Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian:
CenterNet: Keypoint Triplets for Object Detection. ICCV 2019: 6568-6577 - [c21]Xinwei He, Tengteng Huang, Song Bai, Xiang Bai:
View N-Gram Network for 3D Object Retrieval. ICCV 2019: 7514-7523 - [c20]Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai:
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting. ICCV 2019: 8381-8389 - [c19]Mingkun Yang, Yushuo Guan, Minghui Liao, Xin He, Kaigui Bian, Song Bai, Cong Yao, Xiang Bai:
Symmetry-Constrained Rectification Network for Scene Text Recognition. ICCV 2019: 9146-9155 - [c18]Yuyin Zhou, Zhe Li, Song Bai, Xinlei Chen, Mei Han, Chong Wang, Elliot K. Fishman, Alan L. Yuille:
Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation. ICCV 2019: 10671-10680 - [c17]Yuyin Zhou, Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training. WACV 2019: 121-140 - [i24]Song Bai, Feihu Zhang, Philip H. S. Torr:
Hypergraph Convolution and Hypergraph Attention. CoRR abs/1901.08150 (2019) - [i23]Song Bai, Yingwei Li, Yuyin Zhou, Qizhu Li, Philip H. S. Torr:
Adversarial Metric Attack for Person Re-identification. CoRR abs/1901.10650 (2019) - [i22]Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille:
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. CoRR abs/1904.00979 (2019) - [i21]Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot K. Fishman, Alan L. Yuille:
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation. CoRR abs/1904.06346 (2019) - [i20]Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, Qi Tian:
CenterNet: Keypoint Triplets for Object Detection. CoRR abs/1904.08189 (2019) - [i19]Chenfeng Xu, Kai Qiu, Jianlong Fu, Song Bai, Yongchao Xu, Xiang Bai:
Learn to Scale: Generating Multipolar Normalized Density Map for Crowd Counting. CoRR abs/1907.12428 (2019) - [i18]Mingkun Yang, Yushuo Guan, Minghui Liao, Xin He, Kaigui Bian, Song Bai, Cong Yao, Xiang Bai:
Symmetry-constrained Rectification Network for Scene Text Recognition. CoRR abs/1908.01957 (2019) - [i17]Xinwei He, Tengteng Huang, Song Bai, Xiang Bai:
View N-gram Network for 3D Object Retrieval. CoRR abs/1908.01958 (2019) - [i16]Zhen Zhu, Mengde Xu, Song Bai, Tengteng Huang, Xiang Bai:
Asymmetric Non-local Neural Networks for Semantic Segmentation. CoRR abs/1908.07678 (2019) - [i15]Zhao Yang, Qiang Wang, Luca Bertinetto, Weiming Hu, Song Bai, Philip H. S. Torr:
Anchor Diffusion for Unsupervised Video Object Segmentation. CoRR abs/1910.10895 (2019) - [i14]Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang, Philip H. S. Torr:
Learning Regional Attraction for Line Segment Detection. CoRR abs/1912.09344 (2019) - [i13]Chenfeng Xu, Dingkang Liang, Yongchao Xu, Song Bai, Wei Zhan, Masayoshi Tomizuka, Xiang Bai:
AutoScale: Learning to Scale for Crowd Counting. CoRR abs/1912.09632 (2019) - 2018
- [j12]Wei Gao, Xiuping Chen, Haibo Du, Song Bai:
Position Tracking Control for Permanent Magnet Linear Motor via Continuous-Time Fast Terminal Sliding Mode Control. J. Control. Sci. Eng. 2018: 3813624:1-3813624:6 (2018) - [j11]Song Bai, Shaoyan Sun, Xiang Bai, Zhaoxiang Zhang, Qi Tian:
Improving context-sensitive similarity via smooth neighborhood for object retrieval. Pattern Recognit. 83: 353-364 (2018) - [c16]Juefei Yuan, Bo Li, Yijuan Lu, Song Bai, Xiang Bai, Ngoc-Minh Bui, Minh N. Do, Trong-Le Do, Anh Duc Duong, Xinwei He, Tu-Khiem Le, Wenhui Li, Anan Liu, Xiaolong Liu, Khac-Tuan Nguyen, Vinh-Tiep Nguyen, Weizhi Nie, Van-Tu Ninh, Yuting Su, Vinh Ton-That, Minh-Triet Tran, Shu Xiang, Heyu Zhou, Yang Zhou, Zhichao Zhou:
2D Scene Sketch-Based 3D Scene Retrieval. 3DOR@Eurographics 2018: 29-36 - [c15]Hameed Abdul-Rashid, Juefei Yuan, Bo Li, Yijuan Lu, Song Bai, Xiang Bai, Ngoc-Minh Bui, Minh N. Do, Trong-Le Do, Anh Duc Duong, Xinwei He, Tu-Khiem Le, Wenhui Li, Anan Liu, Xiaolong Liu, Khac-Tuan Nguyen, Vinh-Tiep Nguyen, Weizhi Nie, Van-Tu Ninh, Yuting Su, Vinh Ton-That, Minh-Triet Tran, Shu Xiang, Heyu Zhou, Yang Zhou, Zhichao Zhou:
2D Image-Based 3D Scene Retrieval. 3DOR@Eurographics 2018: 37-44 - [c14]Xinwei He, Yang Zhou, Zhichao Zhou, Song Bai, Xiang Bai:
Triplet-Center Loss for Multi-View 3D Object Retrieval. CVPR 2018: 1945-1954 - [c13]Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu, Xiang Bai:
Hard-Aware Point-to-Set Deep Metric for Person Re-identification. ECCV (16) 2018: 196-212 - [i12]Xinwei He, Yang Zhou, Zhichao Zhou, Song Bai, Xiang Bai:
Triplet-Center Loss for Multi-View 3D Object Retrieval. CoRR abs/1803.06189 (2018) - [i11]Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille:
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. CoRR abs/1807.03342 (2018) - [i10]Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu, Xiang Bai:
Hard-Aware Point-to-Set Deep Metric for Person Re-identification. CoRR abs/1807.11206 (2018) - [i9]Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang:
Learning Attraction Field Representation for Robust Line Segment Detection. CoRR abs/1812.02122 (2018) - [i8]Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille:
Learning Transferable Adversarial Examples via Ghost Networks. CoRR abs/1812.03413 (2018) - [i7]Zhao Yang, Song Bai, Li Zhang, Philip H. S. Torr:
Learn to Interpret Atari Agents. CoRR abs/1812.11276 (2018) - 2017
- [j10]Lin-Yue Liu, Ling Wang, Peng Jin, Jin-Liang Liu, Xian-Peng Zhang, Liang Chen, Jiang-Fu Zhang, Xiao-Ping Ouyang, Ao Liu, Run-Hua Huang, Song Bai:
The Fabrication and Characterization of Ni/4H-SiC Schottky Diode Radiation Detectors with a Sensitive Area of up to 4 cm2. Sensors 17(10): 2334 (2017) - [j9]Song Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, Qi Tian, Longin Jan Latecki:
GIFT: Towards Scalable 3D Shape Retrieval. IEEE Trans. Multim. 19(6): 1257-1271 (2017) - [c12]Manolis Savva, Fisher Yu, Hao Su, Asako Kanezaki, Takahiko Furuya, Ryutarou Ohbuchi, Zhichao Zhou, Rui Yu, Song Bai, Xiang Bai, Masaki Aono, Atsushi Tatsuma, Spyridon Thermos, Apostolos Axenopoulos, Georgios Th. Papadopoulos, Petros Daras, Xiao Deng, Zhouhui Lian, Bo Li, Henry Johan, Yijuan Lu, Sanjeev Mk:
Large-Scale 3D Shape Retrieval from ShapeNet Core55. 3DOR@Eurographics 2017 - [c11]Song Bai, Xiang Bai, Longin Jan Latecki, Qi Tian:
Multidimensional Scaling on Multiple Input Distance Matrices. AAAI 2017: 1281-1287 - [c10]Song Bai, Xiang Bai, Qi Tian, Longin Jan Latecki:
Regularized Diffusion Process for Visual Retrieval. AAAI 2017: 3967-3973 - [c9]Rui Yu, Zhichao Zhou, Song Bai, Xiang Bai:
Divide and Fuse: A Re-ranking Approach for Person Re-identification. BMVC 2017 - [c8]Song Bai, Xiang Bai, Qi Tian:
Scalable Person Re-identification on Supervised Smoothed Manifold. CVPR 2017: 3356-3365 - [c7]Song Bai, Zhichao Zhou, Jingdong Wang, Xiang Bai, Longin Jan Latecki, Qi Tian:
Ensemble Diffusion for Retrieval. ICCV 2017: 774-783 - [i6]Song Bai, Xiang Bai, Qi Tian:
Scalable Person Re-identification on Supervised Smoothed Manifold. CoRR abs/1703.08359 (2017) - [i5]Qun Chen, Song Bai, Zhanhuai Li, Zhiying Gou, Bo Suo, Wei Pan:
GraphHP: A Hybrid Platform for Iterative Graph Processing. CoRR abs/1706.07221 (2017) - [i4]Rui Yu, Zhichao Zhou, Song Bai, Xiang Bai:
Divide and Fuse: A Re-ranking Approach for Person Re-identification. CoRR abs/1708.04169 (2017) - 2016
- [j8]Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao, Xiang Bai:
Deep Learning Representation using Autoencoder for 3D Shape Retrieval. Neurocomputing 204: 41-50 (2016) - [j7]Song Bai, Zhiyong Liu, Xiang Bai:
Co-spectral for robust shape clustering. Pattern Recognit. Lett. 83: 388-394 (2016) - [j6]Song Bai, Xiang Bai:
Sparse Contextual Activation for Efficient Visual Re-Ranking. IEEE Trans. Image Process. 25(3): 1056-1069 (2016) - [j5]Song Bai, Xiang Bai, Wenyu Liu:
Multiple Stage Residual Model for Image Classification and Vector Compression. IEEE Trans. Multim. 18(7): 1351-1362 (2016) - [c6]Manolis Savva, Fisher Yu, Hao Su, Masaki Aono, Baoquan Chen, Daniel Cohen-Or, Weihong Deng, Hang Su, Song Bai, Xiang Bai, Noa Fish, Jiajie Han, Evangelos Kalogerakis, Erik G. Learned-Miller, Yangyan Li, Minghui Liao, Subhransu Maji, Atsushi Tatsuma, Yida Wang, Nanhai Zhang, Zhichao Zhou:
Large-Scale 3D Shape Retrieval from ShapeNet Core55. 3DOR@Eurographics 2016 - [c5]Song Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, Longin Jan Latecki:
GIFT: A Real-Time and Scalable 3D Shape Search Engine. CVPR 2016: 5023-5032 - [c4]Song Bai, Shaoyan Sun, Xiang Bai, Zhaoxiang Zhang, Qi Tian:
Smooth Neighborhood Structure Mining on Multiple Affinity Graphs with Applications to Context-Sensitive Similarity. ECCV (2) 2016: 592-608 - [i3]Song Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, Longin Jan Latecki:
GIFT: A Real-time and Scalable 3D Shape Search Engine. CoRR abs/1604.01879 (2016) - [i2]Song Bai, Xiang Bai, Longin Jan Latecki, Qi Tian:
Multidimensional Scaling on Multiple Input Distance Matrices. CoRR abs/1605.00286 (2016) - 2015
- [j4]Xiang Bai, Song Bai, Xinggang Wang:
Beyond diffusion process: Neighbor set similarity for fast re-ranking. Inf. Sci. 325: 342-354 (2015) - [j3]Xiang Bai, Song Bai, Zhuotun Zhu, Longin Jan Latecki:
3D Shape Matching via Two Layer Coding. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2361-2373 (2015) - [j2]Song Bai, Xiang Bai, Wenyu Liu, Fabio Roli:
Neural shape codes for 3D model retrieval. Pattern Recognit. Lett. 65: 15-21 (2015) - [j1]Baoguang Shi, Song Bai, Zhichao Zhou, Xiang Bai:
DeepPano: Deep Panoramic Representation for 3-D Shape Recognition. IEEE Signal Process. Lett. 22(12): 2339-2343 (2015) - 2014
- [c3]Song Bai, Xinggang Wang, Cong Yao, Xiang Bai:
Multiple Stage Residual Model for Accurate Image Classification. ACCV (1) 2014: 430-445 - [c2]Song Bai, Xinggang Wang, Xiang Bai:
Aggregating contour fragments for shape classification. ICIP 2014: 5252-5256 - [c1]Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao, Xiang Bai:
Deep learning representation using autoencoder for 3D shape retrieval. SPAC 2014: 279-284 - [i1]Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao, Xiang Bai:
Deep Learning Representation using Autoencoder for 3D Shape Retrieval. CoRR abs/1409.7164 (2014)
Coauthor Index
[c72] [c68] [i80] [i79] [c64] [i77] [i69] [j30] [j29] [j28] [j27] [c51] [c45] [c44] [i65] [i62] [i54] [j25] [j24] [c41] [c39] [c38] [i50] [i45] [i42] [i40] [i39] [i35] [j20] [j18] [j17] [i31] [i25] [j16] [j15] [j13] [c24] [c21] [c20] [c19] [i19] [i18] [i17] [i16] [i13] [j11] [c16] [c15] [c14] [c13] [i12] [i11] [i10] [j9] [c12] [c11] [c10] [c9] [c8] [c7] [i6] [i4] [j8] [j7] [j6] [j5] [c6] [c5] [c4] [i3] [i2] [j4] [j3] [j2] [j1] [c3] [c2] [c1] [i1]
Philip Torr 0001
aka: Philip H. S. Torr
aka: Philip H. S. Torr
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