Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin, “Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition”, AAAI 2017 (Oral)
http://arxiv.org/pdf/1605.06217v2.pdf
My research are computer vision and machine learning. I am interested in metric learning for image retrieval and face recognition, vision and language, and reinforcement learning.
Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin, “Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition”, AAAI 2017 (Oral)
http://arxiv.org/pdf/1605.06217v2.pdf
Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, and Wei Xu, “CNN-RNN: A Unified Framework for Multi-label Image Classification”, CVPR 2016 (Oral)
Coming Soon
Haonan Yu, Jiang Wang, Yi Yang, Zhiheng Huang, Wei Xu, “Video Paragraph Captioning using Hierarchical Recurrent Neural Networks”, CVPR 2016 (Oral)
pdf
Kan Chen, Jiang Wang, Liang-Chieh Chen, Haoyuan Gao, Wei Xu, Ram Nevatia, “ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering”, Arxiv, 2015
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Junhua Mao, Wei Xu, Yi Yang, {bf Jiang Wang}, Zhiheng Huang, Alan L Yuille “Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images”, ICCV 2015
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Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan L. Yuille “Explain Images with Multimodal Recurrent Neural Networks”,, NIPS 2015 Deep Learning Workshop, Montreal, Quebec, Canada
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Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo
Chen, Ying Wu “Learning Fine-grained Image Similarity with Deep Ranking”,, CVPR 2014, Columbus, Ohio
pdf poster supplemental materials
Jiang Wang, Xiaohan Nie, Yin Xia, Ying Wu, Song-Chun Zhu “Cross-view
Action Modeling, Learning and Recognition”, CVPR 2014, Columbus, Ohio
pdf supplemental materials
Jiang Wang, Xiaohan Nie, Yin Xia, Ying Wu “Mining Discriminative 3D Poselet
for Cross-view Action Recognition”, WACV 2014, Steamboat Springs
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Jiang Wang, Ying Wu “ Learning Maximum Margin Temporal Warping for Action Recognition” ICCV 2013 Sydney
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Jiang Wang, Zicheng Liu, Jan Chorowski, Zhuoyuan Chen, Ying Wu “ Robust 3D Action Recognition with Random Occupancy Patterns” ECCV 2012 Florence
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Jiang Wang, Zicheng Liu, Ying Wu, Junsong Yuan “Mining Actionlet Ensemble for Action
Recognition with Depth Cameras” CVPR 2012 Rohode Island
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Jiang Wang, Zicheng Liu, Ying Wu, Junsong Yuan, “Learning Actionlet
Ensemble for 3D Human Action Recognition”, IEEE Trans. on Pattern
Recogniton and Machine Intelligence, Accepted
Zhouyuan Chen, Jiang Wang, Ying Wu “Decomposing and Regularizing Sparse Non-sparse
Components for Motion Field Estimation” CVPR 2012 Rohode Island
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Jiang Wang, Zhuooyuan Chen, Ying Wu “Action Recognition with Multiscale SpatioTemporal Contexts” CVPR 2011 Colorado Spring
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Jiang Wang, Jianqiu Zhang “A Globally Optimal Bilinear Programming Approach to the
Design of Approximate Hilbert Pairs of Orthonormal Wavelet Bases” IEEE Trans. on Signal Processing , Jan. 2010.
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MSRDailyActivity Dataset, collected by me at MSR-Redmod. :).
cropped version of MSRDailyAction Dataset, manually cropped by me. This version contains the depth sequences that only contains the human (some background can be cropped though).
Benchmark datasets in computer vision
Open Source Software in Computer Vision