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RSG: A Simple but Effective Module for Learning Imbalanced Datasets


Jun 18, 2021
Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu

* To appear at CVPR 2021. We propose a flexible data generation/data augmentation module for long-tailed classification. Codes are available at: https://github.com/Jianf-Wang/RSG 

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Convolutional Neural Networks with Gated Recurrent Connections


Jun 05, 2021
Jianfeng Wang, Xiaolin Hu

* Accepted by TPAMI. An extension of our previous NeurIPS 2017 paper "Gated recurrent convolution neural network for OCR". We demonstrate the good performance of GRCNN on image classification and object detection. Codes are available at: https://github.com/Jianf-Wang/GRCNN 

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Attack on practical speaker verification system using universal adversarial perturbations


May 19, 2021
Weiyi Zhang, Shuning Zhao, Le Liu, Jianmin Li, Xingliang Cheng, Thomas Fang Zheng, Xiaolin Hu

* 6 pages, 2 figures 

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RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features


Apr 17, 2021
Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu

* Accepted by CVPR 2021. Code is available at https://github.com/zhanggang001/RefineMask 

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Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation


Apr 12, 2021
Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang, Xiaolin Hu

* CVPR 2021 

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CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds


Mar 02, 2021
Ge Gao, Mikko Lauri, Xiaolin Hu, Jianwei Zhang, Simone Frintrop

* Accepted to ICRA 2021 

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Rethinking Natural Adversarial Examples for Classification Models


Feb 23, 2021
Xiao Li, Jianmin Li, Ting Dai, Jie Shi, Jun Zhu, Xiaolin Hu

* 12 pages 

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Annotation Cleaning for the MSR-Video to Text Dataset


Feb 12, 2021
Haoran Chen, Jianmin Li, Simone Frintrop, Xiaolin Hu


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Frame Difference-Based Temporal Loss for Video Stylization


Feb 11, 2021
Jianjin Xu, Zheyang Xiong, Xiaolin Hu


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Fooling thermal infrared pedestrian detectors in real world using small bulbs


Jan 20, 2021
Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu

* accepted by AAAI-21 

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Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection


Nov 25, 2020
Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang


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Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning


Jun 20, 2020
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen


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Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection


Jun 08, 2020
Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

* 14 pages, 14 figures 

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Delving Deeper into the Decoder for Video Captioning


Feb 15, 2020
Haoran Chen, Jianmin Li, Xiaolin Hu

* 8 pages, 3 figures, European Conference on Artificial Intelligence 

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End-to-End Face Parsing via Interlinked Convolutional Neural Networks


Feb 12, 2020
Zi Yin, Valentin Yiu, Xiaolin Hu, Liang Tang


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6D Object Pose Regression via Supervised Learning on Point Clouds


Jan 24, 2020
Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, Simone Frintrop


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Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization


Oct 10, 2019
Chufeng Tang, Lu Sheng, Zhaoxiang Zhang, Xiaolin Hu

* Accepted by ICCV 2019 

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Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork


Oct 07, 2019
Yulong Wang, Xiaolin Hu, Hang Su

* Accepted to 2019 ICCV Workshop on Interpreting and Explaining Visual Artificial Intelligence Models 

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Pruning from Scratch


Sep 27, 2019
Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu

* 12 pages, 9 figures 

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A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling


Aug 31, 2019
Haoran Chen, Ke Lin, Alexander Maye, Jianming Li, Xiaolin Hu

* Submitted to Frontiers in Robotics & AI 

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Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks


May 25, 2019
Xiang Li, Xiaolin Hu, Jian Yang

* Code available at: https://github.com/implus/PytorchInsight 

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Knowledge Distillation via Route Constrained Optimization


Apr 19, 2019
Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu


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Dynamic Multi-path Neural Network


Apr 07, 2019
Yingcheng Su, Shunfeng Zhou, Yichao Wu, Tian Su, Ding Liang, Jiaheng Liu, Dixin Zheng, Yingxu Wang, Junjie Yan, Xiaolin Hu


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Selective Kernel Networks


Mar 18, 2019
Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang

* CVPR 2019 

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Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation


Mar 15, 2019
Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu

* AAAI2019 

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UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision


Sep 06, 2018
Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan Yuille

* 3DV 2018 (oral) 

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Interlinked Convolutional Neural Networks for Face Parsing


Jun 07, 2018
Yisu Zhou, Xiaolin Hu, Bo Zhang

* International Symposium on Neural Networks. Springer, Cham, 2015 
* 11 pages, 4 figures, ISNN2015 Conference 

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Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser


May 08, 2018
Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu

* CVPR 2018 

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