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Jie Qin

TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification


Nov 29, 2021
Yichao Yan, Junjie Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang

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Efficient Person Search: An Anchor-Free Approach


Sep 01, 2021
Yichao Yan, Jinpeng Li, Jie Qin, Shengcai Liao, Xiaokang Yang

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* arXiv admin note: substantial text overlap with arXiv:2103.11617 
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Identity-aware Graph Memory Network for Action Detection


Aug 26, 2021
Jingcheng Ni, Jie Qin, Di Huang

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* Accepted by ACM MM2021 
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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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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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Learning Multi-Attention Context Graph for Group-Based Re-Identification


Apr 29, 2021
Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao

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Anchor-Free Person Search


Mar 22, 2021
Yichao Yan, Jingpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao

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* Accepted by CVPR 2021 
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P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching


Mar 01, 2021
Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham

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S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration


Feb 17, 2021
Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides

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* Technical report, 10 pages. Self-supervised binary neural networks using distillation loss (5.5~15% improvement over contrastive baseline) 
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Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning


Feb 08, 2021
Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng

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* AAAI 2021. A search based fine-tuning strategy for few-shot learning 
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ResizeMix: Mixing Data with Preserved Object Information and True Labels


Dec 21, 2020
Jie Qin, Jiemin Fang, Qian Zhang, Wenyu Liu, Xingang Wang, Xinggang Wang

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Contour Primitive of Interest Extraction Network Based on One-shot Learning for Object-Agnostic Vision Measurement


Oct 07, 2020
Fangbo Qin, Jie Qin, Siyu Huang, De Xu

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* Submitted to IEEE Robotics and Automation Letters 
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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

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* 20 pages 
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Invertible Zero-Shot Recognition Flows


Jul 09, 2020
Yuming Shen, Jie Qin, Lei Huang

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* ECCV2020 
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Auto-Encoding Twin-Bottleneck Hashing


Mar 16, 2020
Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao

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* CVPR 2020 Accepted, Code at https://github.com/ymcidence/TBH 
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Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs


Mar 11, 2020
Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao

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* The code is available at: https://github.com/huangleiBuaa/LayerwiseCA 
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Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis


Feb 25, 2020
Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao

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* The code is available at: https://github.com/huangleiBuaa/LayerwiseCA 
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Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network


Jan 23, 2020
Yanyan Wei, Zhao Zhang, Haijun Zhang, Jie Qin, Mingbo Zhao

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Fast Dense Residual Network: Enhancing Global Dense Feature Flow for Text Recognition


Jan 23, 2020
Zhao Zhang, Zemin Tang, Yang Wang, Jie Qin, Haijun Zhang, Shuicheng Yan

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* arXiv admin note: text overlap with arXiv:1912.07016 
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Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition


Jan 15, 2020
Zhao Zhang, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin, Meng Wang

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* Accepted by the 24th European Conference on Artificial Intelligence (ECAI 2020). arXiv admin note: text overlap with arXiv:1912.07016 
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Embarrassingly Simple Binary Representation Learning


Aug 26, 2019
Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu

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* ICCV 2019 CEFRL4 Workshop 
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Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier


May 27, 2019
Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan

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* Accepted by IEEE TNNLS 
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Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning


May 25, 2019
Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin

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* Accepted at the 28th International Joint Conference on Artificial Intelligence(IJCAI 2019) 
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Highly-Economized Multi-View Binary Compression for Scalable Image Clustering


Sep 17, 2018
Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen

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* European Conference on Computer Vision (ECCV) 2018 
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Adversarial Binary Coding for Efficient Person Re-identification


Apr 06, 2018
Zheng Liu, Jie Qin, Annan Li, Yunhong Wang, Luc Van Gool

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* 17 pages, 6 figures, 8 tables. Codes: https://github.com/dongb5/AdversarialBinaryCoding4ReID 
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