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In Defense of Feature Mimicking for Knowledge Distillation

Nov 03, 2020
Guo-Hua Wang, Yifan Ge, Jianxin Wu


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Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation

Jul 03, 2020
Bin-Bin Gao, Xin-Xin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng

* submitted to Pattern Recognition 

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Rethinking the Route Towards Weakly Supervised Object Localization

Mar 03, 2020
Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu

* Accepted by CVPR 2020; Corrected some typo in the paper; The code repository is https://github.com/tzzcl/PSOL 

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Neural Network Pruning with Residual-Connections and Limited-Data

Dec 02, 2019
Jian-Hao Luo, Jianxin Wu


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Neural Forest Learning

Nov 18, 2019
Yun-Hao Cao, Jianxin Wu

* 12 pages 

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Repetitive Reprediction Deep Decipher for Semi-Supervised Learning

Aug 09, 2019
Guo-Hua Wang, Jianxin Wu


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Deep Learning for Fine-Grained Image Analysis: A Survey

Jul 06, 2019
Xiu-Shen Wei, Jianxin Wu, Quan Cui

* Project page: http://www.weixiushen.com/project/Awesome_FGIA/Awesome_FGIA.html 

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Towards Real-Time Action Recognition on Mobile Devices Using Deep Models

Jun 17, 2019
Chen-Lin Zhang, Xin-Xin Liu, Jianxin Wu

* work in progress 

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Probabilistic End-to-end Noise Correction for Learning with Noisy Labels

Mar 19, 2019
Kun Yi, Jianxin Wu

* CVPR 2019 

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When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets

Dec 13, 2018
Hong-Yu Zhou, Avital Oliver, Jianxin Wu, Yefeng Zheng

* Technical report 

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Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification

Dec 11, 2018
Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu

* ACCV 2018 

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AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference

May 24, 2018
Jian-Hao Luo, Jianxin Wu

* Submitted to NIPS 2018 

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Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples

May 11, 2018
Xiu-Shen Wei, Peng Wang, Lingqiao Liu, Chunhua Shen, Jianxin Wu


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Vortex Pooling: Improving Context Representation in Semantic Segmentation

Apr 22, 2018
Chen-Wei Xie, Hong-Yu Zhou, Jianxin Wu


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Learning Effective Binary Visual Representations with Deep Networks

Mar 08, 2018
Jianxin Wu, Jian-Hao Luo

* 16 pages, 3 figures 

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Code Attention: Translating Code to Comments by Exploiting Domain Features

Nov 27, 2017
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu


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Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion

Nov 20, 2017
Weiyao Lin, Yang Mi, Jianxin Wu, Ke Lu, Hongkai Xiong

* accepted by AAAI 2018 

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Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors

Jul 20, 2017
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu

* To appear in ICCV 2017 

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Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming

Jul 20, 2017
Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou

* This paper is extended based on our preliminary work published in IJCAI 2017 [arXiv:1705.02758] 

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ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression

Jul 20, 2017
Jian-Hao Luo, Jianxin Wu, Weiyao Lin

* To appear in ICCV 2017 

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Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition

Jul 20, 2017
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu

* accepted as a poster in BMVC 2017 

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Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval

Jul 13, 2017
Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu, Zhi-Hua Zhou

* IEEE Transactions on Image Processing (TIP), 2017, 26(6): 2868-2881 

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An Entropy-based Pruning Method for CNN Compression

Jun 19, 2017
Jian-Hao Luo, Jianxin Wu


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Deep Label Distribution Learning with Label Ambiguity

May 10, 2017
Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng

* IEEE Transactions on Image Processing 26(6), 2017:2825-2838 
* Accepted by IEEE TIP 2017. Projects page, see http://lamda.nju.edu.cn/gaobb/projects/DLDL.html 

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Deep Descriptor Transforming for Image Co-Localization

May 08, 2017
Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou

* Accepted by IJCAI 2017 

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Learning Correspondence Structures for Person Re-identification

Apr 27, 2017
Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu

* IEEE Trans. Image Processing, vol. 26, no. 5, pp. 2438-2453, 2017. The project page for this paper is available at http://min.sjtu.edu.cn/lwydemo/personReID.htm arXiv admin note: text overlap with arXiv:1504.06243 

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A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories

Apr 26, 2017
Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu

* IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2016.2608884, 2016. Code for our work is available at http://min.sjtu.edu.cn/lwydemo/Trajectory%20analysis.htm 

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Exploit Bounding Box Annotations for Multi-label Object Recognition

Jun 03, 2016
Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai

* Accepted in CVPR 2016 

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