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Boundary-Aware Segmentation Network for Mobile and Web Applications

Jan 12, 2021
Xuebin Qin, Deng-Ping Fan, Chenyang Huang, Cyril Diagne, Zichen Zhang, Adrià Cabeza Sant'Anna, Albert Suàrez, Martin Jagersand, Ling Shao

* 18 pages, 16 figures, submitted to TPAMI 

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Low Light Image Enhancement via Global and Local Context Modeling

Jan 04, 2021
Aditya Arora, Muhammad Haris, Syed Waqas Zamir, Munawar Hayat, Fahad Shahbaz Khan, Ling Shao, Ming-Hsuan Yang


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D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations

Dec 11, 2020
Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao


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Learning to Fuse Asymmetric Feature Maps in Siamese Trackers

Dec 04, 2020
Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen


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DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations

Nov 24, 2020
Wenhao Wang, Shengcai Liao, Fang Zhao, Cuicui Kang, Ling Shao


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Learning Efficient GANs using Differentiable Masks and co-Attention Distillation

Nov 21, 2020
Shaojie Li, Mingbao Lin, Yan Wang, Mingliang Xu, Feiyue Huang, Yongjian Wu, Ling Shao, Rongrong Ji


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Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization

Nov 11, 2020
Shidong Wang, Yi Ren, Gerard Parr, Yu Guan, Ling Shao

* This article has been accepted for inclusion in a future issue of IEEE Transactions on Geoscience and Remote Sensing. Content is final as presented, with the exception of pagination 

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Learning to Learn Variational Semantic Memory

Oct 20, 2020
Xiantong Zhen, Yingjun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao

* accepted to NeurIPS 2020; code is available in https://github.com/YDU-uva/VSM 

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Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection

Oct 12, 2020
Nian Liu, Ni Zhang, Ling Shao, Junwei Han

* Journal extension of our CVPR paper entitled "Learning Selective Self-Mutual Attention for RGB-D Saliency Detection" appeared in CVPR 2020 

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From Handcrafted to Deep Features for Pedestrian Detection: A Survey

Oct 01, 2020
Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao

* 23 pages, 10 figures, Projects: https://github.com/JialeCao001/PedSurvey 

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Group Whitening: Balancing Learning Efficiency and Representational Capacity

Sep 28, 2020
Lei Huang, Li Liu, Fan Zhu, Ling Shao

* V1: rejected by NeurIPS 2020. The main issue is that Assumption 1 not rigorous, thus the analysis based on which. Code available at: https://github.com/huangleiBuaa/GroupWhitening 

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Normalization Techniques in Training DNNs: Methodology, Analysis and Application

Sep 27, 2020
Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

* 20 pages 

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Exploring global diverse attention via pairwise temporal relation for video summarization

Sep 23, 2020
Ping Li, Qinghao Ye, Luming Zhang, Li Yuan, Xianghua Xu, Ling Shao

* Pattern Recognition, 2020 
* 12 pages, 8 figures 

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A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability

Aug 30, 2020
Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao

* Under review 

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Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance

Aug 05, 2020
Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao


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RGB-D Salient Object Detection: A Survey

Aug 01, 2020
Tao Zhou, Deng-Ping Fan, Ming-Ming Cheng, Jianbing Shen, Ling Shao

* 24 pages, 12 figures. Code: https://github.com/taozh2017/RGBD-SODsurvey 

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SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation

Jul 29, 2020
Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao

* ECCV2020; Code: https://github.com/JialeCao001/SipMask 

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Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification

Jul 18, 2020
Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo

* Accepted by ECCV20 

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Learning to Learn with Variational Information Bottleneck for Domain Generalization

Jul 15, 2020
Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao

* 15 pages, 4 figures, ECCV2020 

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PraNet: Parallel Reverse Attention Network for Polyp Segmentation

Jul 03, 2020
Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao

* Accepted to MICCAI 2020 

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Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification

Jun 23, 2020
Yanan Wang, Shengcai Liao, Ling Shao

* https://github.com/VideoObjectSearch/RandPerson 

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Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition

Jun 20, 2020
Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao


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Learning to Learn Kernels with Variational Random Features

Jun 11, 2020
Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek

* ICML'2020; code is available in: https://github.com/Yingjun-Du/MetaVRF 

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Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification

Jun 11, 2020
Wenhao Wang, Fang Zhao, Shengcai Liao, Ling Shao


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M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients

Jun 01, 2020
Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao

* Accepted by MICCAI'20 

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Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

May 21, 2020
Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao

* To appear in IEEE TMI. The code is released in: https://github.com/DengPingFan/Inf-Net 

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