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Ling Shao

PVTv2: Improved Baselines with Pyramid Vision Transformer


Jul 17, 2021
Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao

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* Technical Report 
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Variational Topic Inference for Chest X-Ray Report Generation


Jul 15, 2021
Ivona Najdenkoska, Xiantong Zhen, Marcel Worring, Ling Shao

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* To be published in the International Conference on Medical Image Computing and Computer Assisted Intervention 2021 
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Kernel Continual Learning


Jul 14, 2021
Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

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* accepted to ICML 2021 
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Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains


Jul 12, 2021
Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N Balasubramanian, Fahad Shahbaz Khan, Ling Shao

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Local-to-Global Self-Attention in Vision Transformers


Jul 10, 2021
Jinpeng Li, Yichao Yan, Shengcai Liao, Xiaokang Yang, Ling Shao

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Instance-Level Relative Saliency Ranking with Graph Reasoning


Jul 08, 2021
Nian Liu, Long Li, Wangbo Zhao, Junwei Han, Ling Shao

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* TPAMI under review 
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Bi-level Feature Alignment for Versatile Image Translation and Manipulation


Jul 07, 2021
Fangneng Zhan, Yingchen Yu, Rongliang Wu, Kaiwen Cui, Aoran Xiao, Shijian Lu, Ling Shao

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* Submitted to TPAMI 
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GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference


Jun 30, 2021
Peng Tu, Yawen Huang, Rongrong Ji, Feng Zheng, Ling Shao

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* 11 pages 
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Accelerated Multi-Modal MR Imaging with Transformers


Jun 29, 2021
Chun-Mei Feng, Yunlu Yan, Geng Chen, Huazhu Fu, Yong Xu, Ling Shao

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Sparse Needlets for Lighting Estimation with Spherical Transport Loss


Jun 24, 2021
Fangneng Zhan, Changgong Zhang, Wenbo Hu, Shijian Lu, Feiying Ma, Xuansong Xie, Ling Shao

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* 11 pages, 7 figures 
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Federated Noisy Client Learning


Jun 24, 2021
Li Li, Huazhu Fu, Bo Han, Cheng-Zhong Xu, Ling Shao

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Exploring Visual Context for Weakly Supervised Person Search


Jun 19, 2021
Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang, Ling Shao

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AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection


Jun 10, 2021
Hongsong Wang, Shengcai Liao, Ling Shao

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Category Contrast for Unsupervised Domain Adaptation in Visual Tasks


Jun 08, 2021
Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao

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You Never Cluster Alone


Jun 03, 2021
Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip H. S. Torr, Ling Shao

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* Preprint 
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When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model


Jun 02, 2021
Haibo Jin, Jinpeng Li, Shengcai Liao, Ling Shao

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* Fix minor errors 
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Transformer-Based Deep Image Matching for Generalizable Person Re-identification


May 30, 2021
Shengcai Liao, Ling Shao

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Transformer-Based Source-Free Domain Adaptation


May 28, 2021
Guanglei Yang, Hao Tang, Zhun Zhong, Mingli Ding, Ling Shao, Nicu Sebe, Elisa Ricci

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Progressively Normalized Self-Attention Network for Video Polyp Segmentation


May 24, 2021
Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao

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* MICCAI 2021 (Provisional accept); Code: https://github.com/GewelsJI/PNS-Net 
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Attentional Prototype Inference for Few-Shot Semantic Segmentation


May 14, 2021
Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao

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DONet: Dual-Octave Network for Fast MR Image Reconstruction


May 12, 2021
Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao

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* arXiv admin note: substantial text overlap with arXiv:2104.05345 
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A Bit More Bayesian: Domain-Invariant Learning with Uncertainty


May 09, 2021
Zehao Xiao, Jiayi Shen, Xiantong Zhen, Ling Shao, Cees G. M. Snoek

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* accepted to ICML 2021 
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MetaKernel: Learning Variational Random Features with Limited Labels


May 08, 2021
Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek

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* 19 pages,7 figures. arXiv admin note: substantial text overlap with arXiv:2006.06707 
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Salient Objects in Clutter


May 07, 2021
Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao

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* 348 references, 22 pages, survey 201 models, benchmark 100 models. Online benchmark: http://dpfan.net/SOCBenchmark 
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