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SDTP: Semantic-aware Decoupled Transformer Pyramid for Dense Image Prediction


Sep 18, 2021
Zekun Li, Yufan Liu, Bing Li, Weiming Hu, Kebin Wu, Pei Wang


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Differentiable Convolution Search for Point Cloud Processing


Aug 29, 2021
Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan


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Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition


Aug 23, 2021
Yuxin Chen, Ziqi Zhang, Chunfeng Yuan, Bing Li, Ying Deng, Weiming Hu

* Accepted to ICCV2021. Camera-ready version with supplementary materials. Code is available at https://github.com/Uason-Chen/CTR-GCN 

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Learn to Match: Automatic Matching Network Design for Visual Tracking


Aug 02, 2021
Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, Weiming Hu

* accepted by ICCV2021 

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A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer


Jun 18, 2021
Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Haoyuan Chen, Wanli Liu, Changhao Sun, Yudong Yao, Marcin Grzegorzek


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A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer


Jun 09, 2021
Ao Chen, Chen Li, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Marcin Grzegorzek


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GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification


May 25, 2021
Haoyuan Chen, Chen Li, Xiaoyan Li, Ge Wang, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Yudong Yao, Yueyang Teng, Marcin Grzegorzek


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Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers


May 16, 2021
Wanli Liu, Chen Li, Hongzan Sun, Weiming Hu, Haoyuan Chen, Changhao Sun, Marcin Grzegorzek


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A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking


May 06, 2021
Zhenbang Li, Yaya Shi, Jin Gao, Shaoru Wang, Bing Li, Pengpeng Liang, Weiming Hu


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PDNet: Towards Better One-stage Object Detection with Prediction Decoupling


Apr 28, 2021
Li Yang, Yan Xu, Shaoru Wang, Chunfeng Yuan, Ziqi Zhang, Bing Li, Weiming Hu


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One More Check: Making "Fake Background" Be Tracked Again


Apr 19, 2021
Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Yi Lu, Weiming Hu


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Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model


Mar 29, 2021
Yufan Liu, Minglang Qiao, Mai Xu, Bing Li, Weiming Hu, Ali Borji

* Published as an ECCV2020 paper 

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Open-book Video Captioning with Retrieve-Copy-Generate Network


Mar 09, 2021
Ziqi Zhang, Zhongang Qi, Chunfeng Yuan, Ying Shan, Bing Li, Ying Deng, Weiming Hu

* Accepted by CVPR 2021 

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Weather Analogs with a Machine Learning Similarity Metric for Renewable Resource Forecasting


Mar 09, 2021
Weiming Hu, Guido Cervone, George Young, Luca Delle Monache

* 32 pages, 9 figures 

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Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment


Feb 04, 2021
Manzhu Yu, Fangcao Xu, Weiming Hu, Jian Sun, Guido Cervone


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Towards Accurate Pixel-wise Object Tracking by Attention Retrieval


Sep 08, 2020
Zhipeng Zhang, Bing Li, Weiming Hu, Houwen Peng

* Some technical errors. We would provide new versions later 

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Ocean: Object-aware Anchor-free Tracking


Jul 09, 2020
Zhipeng Zhang, Houwen Peng, Jianlong Fu, Bing Li, Weiming Hu

* ECCV2020 
* Accepted by ECCV2020 

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Object Relational Graph with Teacher-Recommended Learning for Video Captioning


Feb 26, 2020
Ziqi Zhang, Yaya Shi, Chunfeng Yuan, Bing Li, Peijin Wang, Weiming Hu, Zhengjun Zha

* Accepted by CVPR 2020 

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RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation


Dec 11, 2019
Shaoru Wang, Yongchao Gong, Junliang Xing, Lichao Huang, Chang Huang, Weiming Hu

* Accepted by AAAI20 

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Anchor Diffusion for Unsupervised Video Object Segmentation


Oct 24, 2019
Zhao Yang, Qiang Wang, Luca Bertinetto, Weiming Hu, Song Bai, Philip H. S. Torr

* To appear in ICCV 2019 

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VATEX Captioning Challenge 2019: Multi-modal Information Fusion and Multi-stage Training Strategy for Video Captioning


Oct 13, 2019
Ziqi Zhang, Yaya Shi, Jiutong Wei, Chunfeng Yuan, Bing Li, Weiming Hu


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Probabilistic Forecasting using Deep Generative Models


Sep 26, 2019
Alessandro Fanfarillo, Behrooz Roozitalab, Weiming Hu, Guido Cervone

* 23 pages, 9 figures, submitted to Computers and Geosciences 

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