职称/职务

特任教授/无

出生年月

1984-05

最高学历

博士

工作单位

中国科学技术大学信息学院6系

联系地址

安徽省合肥市蜀山区黄山路中国科技大学西区

邮箱

zhwg@ustc.edu.cn

教育背景

1)  2006-09至2011-07, 中国科学技术大学, 电子工程与信息科学系, 博士

2)  2002-09至2006-07, 武汉大学, 电子工程与信息科学系, 学士

研究方向

计算机视觉，多媒体信息检索，机器博弈

任职经历

1)   2018-12至今, 中国科学技术大学, 电子工程与信息科学系, 教授

2)   2013-09至2018-12, 中国科学技术大学, 电子工程与信息科学系, 副教授

3)   2011-08至2013-09, 美国德州大学圣安东尼奥分校，计算机系，博士后

4)      2011-08至2013-09, 美国德州大学圣安东尼奥分校，计算机系，博士后

主持、参与

项目

1)   国家自然科学基金，区域创新发展联合基金项目（重点项目），批准号： U20A20183，手语视频分析与理解关键技术研究，2021/01-2024/12，260万元，在研，主持.

2)   国家自然科学基金，优秀青年基金项目，批准号：61822208，大规模图像检索，2019-01至2021-12，130万元，在研，主持

3)   国家科技部，重大研发计划项目，批准号：2018YFB1402605，科技大数据理论与技术研究，2019-07至2022-06，199万元，在研，参与

4)   国家自然科学基金，面上项目，批准号： 61472378，基于无视觉码本框架的大规模图像检索研究， 2015-01至2018-12，84万元，已结题，主持

5)   国家自然科学基金，重点项目，批准号：61632019，面向视觉认知的脑启发式多源数据深度学习理论与方法， 2017-01至2021-12，230万元，在研，参与

6)   中央高校基本科研业务费，脑启发式的视觉数据学习理论与方法， 2016-01至2018-12，100万元，已结题，主持

7)   中央高校基本科研业务费，基于海量图像检索的图像修复算法研究，2014-01至2015-12，12万元，已结题，主持

8)   安徽省自然科学基金，面上项目，面向图像检索的可扩展视觉特征量化研究，批准号：1508085MF109，2015-06至2017-06，8万元，在研，主持

9)   科大讯飞股份有限公司，横向项目，基于多元图像信息的手语识别技术研发，2014/01-2016/12，20万元，已结题，主持

荣誉、奖项

1)   国家基金委优秀青年科学基金获得者(2018年)

2)   中国科协青年人才托举工程入选者(2017年)

3)   中国科学院百篇优秀博士学位论文奖(2013年)

4)   国际会议ICIMCS最佳论文奖（2012年）

科研成果

期刊论文:

[J1]   Hao Zhou, Wengang Zhou, Yun Zhou, and Houqiang Li, “Spatial-Temporal Multi-Cue Network for Sign Language Recognition and Translation,” Accepted to IEEE Transactions on Multimedia (TMM), February 2021.

[J2]   Yiheng Liu, Wengang Zhou, Jianzhuang Liu, Guojun Qi, Qi Tian, and Houqiang Li, “An End-to-End Foreground-Aware Network for Person Re-Identification,” Accepted to IEEE Transactions on Image Processing (TIP), January 2021.

[J3]   Ning Wang, Wengang Zhou, and Houqiang Li, “Learning Diverse Models for End-to-end Ensemble Tracking,” Accepted to IEEE Transactions on Image Processing (TIP), December 2020.

[J4]   Xiaodong Yang, Wengang Zhou, and Houqiang Li, “MCFD: A Hardware-efficient Noniterative Multicue Fusion Demosaicing Algorithm,” Accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), December 2020.

[J5]   Feng Lin, Wengang Zhou, Jiajun Deng, Bin Li, Yan Lu, and Houqiang Li, “Residual Refinement Network with Attribute Guidance for Precise Saliency Detection,” Accepted to ACM Transactions on Multimedia Computing Communications and Applications (TOMM), December 2020.

[J6]   Zhandong Liu, Wengang Zhou, and Houqiang Li, “MFECN: Multi-level Feature Enhanced Cumulative Network for Scene Text Detection,” Accepted to ACM Transactions on Multimedia Computing Communications and Applications (TOMM), November 2020.

[J7]   Hezhen Hu, Wengang Zhou, Junfu Pu, and Houqiang Li, “Global-local Enhancement Network for NMFs-aware Sign Language Recognition,” Accepted to ACM Transactions on Multimedia Computing Communications and Applications (TOMM), November 2020.

[J8]   Yifan Zhang, Wengang Zhou, Min Wang, Qi Tian, and Houqiang Li, “Deep Relation Embedding for Cross-Modal Retrieval,” Accepted to IEEE Transactions on Image Processing (TIP), October 2020.

[J9]   Jianbo Ouyang, Wengang Zhou, Min Wang, Qi Tian, and Houqiang Li, “Collaborative Image Relevance Learning for Visual Re-ranking,” Accepted to IEEE Transactions on Multimedia (TMM), September 2020.

[J10]           Hezhen Hu, Wengang Zhou, Xingze Li, Ning Yan, and Houqiang Li, “MV2Flow: Learning Motion Representation for Fast Compressed Video Action Recognition,” Accepted to ACM Transactions on Multimedia Computing Communications and Applications (TOMM), July 2020.

[J11]           Ning Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination,” Accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), June 2020.

[J12]           Yiding Liu, Siyu Yang, Bin Li, Wengang Zhou, Jizheng Xu, Houqiang Li, and Yan Lu, “Affinity Derivation for Accurate Instance Segmentation,” Accepted to ACM Transactions on Multimedia Computing Communications and Applications (TOMM), June 2020.

[J13]           Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, Wei Liu, and Houqiang Li, “Unsupervised Deep Representation Learning for Real-Time Tracking,” Accepted to International Journal of Computer Vision (IJCV), May 2020.

[J14]           Chengcheng Wei, Jian Zhao, Wengang Zhou, and Houqiang Li, “Semantic Boundary Detection with Reinforcement Learning for Continuous Sign Language Recognition,” Accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), May 2020.

[J15]           Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, and Houqiang Li, “Real-Time Correlation Tracking via Joint Model Compression and Transfer,” Accepted to IEEE Transactions on Image Processing (TIP), April 2020.

[J16]           Zhengguang Zhou, Wengang Zhou, Xutao Lv, Xuan Huang, Xiaoyu Wang, and Houqiang Li, “Progressive Learning of Low-Precision Networks for Image Classification,” Accepted to IEEE Transactions on Multimedia (TMM), April 2020.

[J17]           Jiajun Deng, Yingwei Pan, Ting Yao, Wengang Zhou, Houqiang Li, and Tao Mei, “Single Shot Video Object Detector,” Accepted to IEEE Transactions on Multimedia (TMM), April 2020.

[J18]           Qiaokang Xie, Wengang Zhou, Guojun Qi, Qi Tian, and Houqiang Li, “Progressive Unsupervised Person Re-identification by Tracklet Association with Spatio-Temporal Regularization,” Accepted to IEEE Transactions on Multimedia (TMM), March 2020.

[J19]           Feng Lin, Bin Li, Wengang Zhou, Houqiang Li, and Yan Lv, “Single Stage Instance Segmentation,” Accepted to ACM Transactions on Multimedia Computing Communications and Applications (TOMM), March 2020.

[J20]           Zhandong Liu, Wengang Zhou, and Houqiang Li, “AB-LSTM: Attention-Based Bidirectional LSTM Model for Scene Text Detection,” ACM Transactions on Multimedia Computing Communications and Applications (TOMM), vol. 15, no. 4, pp. 1-23, 2020.

[J21]           Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Neighborhood Pyramid Preserving Hashing,” Accepted to IEEE Transactions on Multimedia (TMM), September 2019.

[J22]           Dan Guo, Wengang Zhou, Anyang Li, Houqiang Li, and Meng Wang, “Hierarchical Recurrent DeepFusion using Adaptive Clip Summarization for Sign Language Translation,” IEEE Transactions on Image Processing (TIP), vol. 29, pp. 1575-1590, 2019.

[J23]           Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Deep Scalable Supervised Quantization by Self-Organizing Map,” accepted to ACM Transactions on Multimedia Computing Communications and Applications (TOMM), April 2019.

[J24]           Wengang Zhou, Houqiang Li, Jian Sun, and Qi Tian, “Collaborative Index Embedding for Image Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, no. 5, pp. 1154-1166, 2018.

[J25]           Jie Huang, Wengang Zhou, Houqiang Li, and Weiping Li, “Attention based 3D-CNNs for Large-Vocabulary Sign Language Recognition,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 29, no. 9, pp. 2822-2832, 2018.

[J26]           Shaoyan Sun, Wengang Zhou, Qi Tian, Ming Yang, and Houqiang Li, “Assessing Image Retrieval Quality at the First Glance,” accepted to IEEE Transactions on Image Processing (TIP), July 2018.

[J27]           Yue Lv, Wengang Zhou, Qi Tian, Shaoyan Sun, and Houqiang Li, “Retrieval Oriented Deep Feature Learning with Complementary Supervision Mining,” accepted to IEEE Transactions on Image Processing (TIP), May 2018.

[J28]           Ning Wang, Wengang Zhou, and Houqiang Li, “Reliable Re-detection for Long-Term Tracking,” accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), March 2018.

[J29]           Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “A General Framework for Linear Distance Preserving Hashing,” IEEE Transactions on Image Processing (TIP), vol. 27, no. 2, pp. 907-922, 2018. 

[J30]           Dan Guo, Wengang Zhou, Houqiang Li, and Meng Wang, “Online Early-Late Fusion Based on Adaptive HMM for Sign Language Recognition,” ACM Transactions on Multimedia Computing Communications and Applications (TOMM), vol. 14, no. 1, Article 8, Dec. 2017.

[J31]           Xiaopeng Zhang, Hongkai Xiong, Wengang Zhou, Weiyao Lin, and Qi Tian, “Picking Neural Activations for Fine-grained Localization and Description,” IEEE Transactions on Multimedia (TMM), vol. 19, no. 12, pp. 2736-2750, 2017.

[J32]           Wengang Zhou, Ming Yang, Xiaoyu Wang, Houqiang Li, Yuanqing Lin, and Qi Tian, “Scalable Feature Matching by Dual Cascaded Scalar Quantization for Image Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 38, no. 1, pp. 159-171, 2016.

[J33]           Qingbo Lu, Wengang Zhou, Lu Fang, and Houqiang Li, “Robust Blur Kernel Estimation for License Plate Images from Fast Moving Vehicles,” IEEE Transactions on Image Processing (TIP), vol. 25, no. 5, pp. 2311-2323, 2016.  

[J34]           Xingyang Cai, Wengang Zhou, Lei Wu, Jiebo Luo, and Houqiang Li, “Effective Active Skeleton Representation for Low Latency Human Action Recognition,” IEEE Transactions on Multimedia (TMM), vol. 18, no. 2, pp. 141-154, 2016.  

[J35]           Shaoyan Sun, Wengang Zhou, Houqiang Li, and Qi Tian, “Scalable Object Retrieval with Compact Image Representation from Generic Object Regions,” ACM Transactions on Multimedia Computing Communications and Applications (TOMM), vol. 12, no. 29, 2016.

[J36]           Zhanning Gao, Jianru Xue, Wengang Zhou, Shanmin Pang, and Qi Tian, “Democratic Diffusion Aggregation for Image Retrieval,” IEEE Transactions on Multimedia (TMM), vol. 18, no. 8, pp. 1661-1674, 2016.

[J37]           Xiaopeng Zhang, Hongkai Xiong, Wengang Zhou, and Qi Tian, “Fused One-vs-All Features with Semantic Alignments for Fine-Grained Visual Categorization,” IEEE Transactions on Image Processing (TIP), vol. 25, no. 2, pp. 878-892, 2016.  

[J38]           Xingyang Cai, Wengang Zhou, Lei Wu, Jiebo Luo, and Houqiang Li, “Effective Active Skeleton Representation for Low Latency Human Action Recognition,” IEEE Transactions on Multimedia (TMM), vol. 18, no. 2, pp. 141-154, 2016.  

[J39]           Zhen Liu, Houqiang Li, Wengang Zhou, and Qi Tian, “Uniforming residual vector distribution for distinctive image representation,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 26, no. 2, pp. 375-384, 2016.

[J40]           Wengang Zhou, Houqiang Li, Richang Hong, Yijuan Lu, and Qi Tian, “BSIFT: towards Data-Independent Codebook for Large Scale Image Search,” IEEE Transactions on Image Processing (TIP), vol. 24, no. 3, pp. 967-979, 2015.  

[J41]           Lingxi Xie, Qi Tian, Wengang Zhou, and Bo Zhang, “Heterogeneous Graph Propagation for Large-Scale Web Image Search,” IEEE Transactions on Image Processing (TIP), vol. 24, no. 1, pp. 4287-4298, 2015.  

[J42]           Zhen Liu, Houqiang Li, Wengang Zhou, and Qi Tian, “Uniting Keypoints: Local Visual Information Fusion for Large Scale Image Search,” IEEE Transactions on Multimedia (TMM), vol. 17, no. 4, pp. 538-548, 2015.

[J43]           Wengang Zhou, Ming Yang, Houqiang Li, Xiaoyu Wang, Yuanqing Lin, and Qi Tian, “Towards codebook-free: scalable cascaded hashing for mobile image search,” IEEE Transactions on Multimedia (TMM), vol. 16, no. 3, pp. 601-611, 2014.  

[J44]           Zhen Liu, Houqiang Li, Wengang Zhou, Ruizhen Zhao, and Qi Tian, “Contextual hashing for large-scale image search,” IEEE Transactions on Image Processing (TIP), vol. 23, no. 4, pp. 1606-1614, 2014.

[J45]           Zhen Liu, Houqiang Li, Liyan Zhang, Wengang Zhou, and Qi Tian, “Cross-indexing of Binary SIFT Codes for Large-Scale Image Search,” IEEE Transactions on Image Processing (TIP), vol. 23, no. 5, pp. 2047- 2057, 2014.  

[J46]           Wengang Zhou, Houqiang Li, Yijuan Lu, and Qi Tian, “SIFT match verification by geometric coding for large-scale partial-duplicate Web image search,” ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), vol. 9, no. 1, article 4, pp. 1-18, February, 2013.

[J47]           Wengang Zhou, Houqiang Li, Yijuan Lu, and Qi Tian, “Principal visual word discovery for automatic license plate detection,” IEEE Transactions on Image Processing (TIP), vol. 21, no. 9, pp. 4269-4279, 2012.

会议论文:

[C1]  Hao Zhou, Wengang Zhou, Weizhen Qi, Junfu Pu, and Houqiang Li, “Improving Sign Language Translation with Monolingual Data by Sign Back-Translation,” Accepted to IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), March 2021.

[C2]  Ning Wang, Wengang Zhou, Jie Wang, and Houqiang Li, “Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking,” Accepted to IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), March 2021.

[C3]  Xinyue Huo, Lingxi Xie, Jianzhong He, Zijie Yang, Wengang Zhou, Houqiang Li, and Qi Tian, “ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation,” Accepted to IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), March 2021.

[C4]  Hezhen Hu, Weilun Wang, Wengang Zhou, Weichao Zhao, and Houqiang Li, “Model-Aware Gesture-to-Gesture Translation,” Accepted to IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), March 2021.

[C5]  Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu, “IOT: Instance-wise Layer Reordering for Transformer Structures,” International Conference on Learning Representations (ICLR), January 2021.

[C6]  Hezhen Hu, Wengang Zhou, and Houqiang Li, “Hand-Model-Aware Sign Language Recognition,” AAAI Conference on Artificial Intelligence (AAAI), 2021.

[C7]  Ning Wang, Wengang Zhou, and Houqiang Li, “Contrastive Transformation for Self-supervised Correspondence Learning,” AAAI Conference on Artificial Intelligence (AAAI), 2021.

[C8]  Yufei Yin, Jiajun Deng, Wengang Zhou, and Houqiang Li, “Instance Mining with Class Feature Banks for Weakly Supervised Object Detection,” AAAI Conference on Artificial Intelligence (AAAI), 2021.

[C9]  Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, and Houqiang Li, “Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection,” AAAI Conference on Artificial Intelligence (AAAI), 2021.

[C10]          Junfu Pu, Wengang Zhou, Hezhen Hu, and Houqiang Li, “Boosting Continuous Sign Language Recognition via Cross Modality Augmentation,” ACM International Conference on Multimedia (MM), 2020.

[C11]          Yiheng Liu, Wengang Zhou, Mao Xi, Sanjing Shen, and Houqiang Li, “Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation,” ACM International Conference on Multimedia (MM), 2020.

[C12]          Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian, “Wavelet-Based Dual-Branch Network for Image Demoireing,” European Conference on Computer Vision (ECCV), 2020.

[C13]          Jiayu Wang, Wengang Zhou, Guojun Qi, Qi Tian, and Houqiang Li, “Transformation GAN for Unsupervised Image Synthesis and Representation Learning,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

[C14]          Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tieyan Liu, “Incorporating BERT into Neural Machine Translation,” International Conference on Learning Representation (ICLR), 2020.

[C15]          Hao Zhou, Wengang Zhou, Yun Zhou, and Houqiang Li, “Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition,” AAAI Conference on Artificial Intelligence (AAAI), Oral Paper, 2020.

[C16]          Ning Wang, Wengang Zhou, Guo-Jun Qi, and Houqiang Li, “POST: POlicy-based Switch Tracking,” AAAI Conference on Artificial Intelligence (AAAI), 2020.

[C17]          Xingze Li, Wengang Zhou, Yun Zhou, and Houqiang Li, “Relation-Guided Spatial Attention and Temporal Refinement for Video-based Person Re-Identification,” AAAI Conference on Artificial Intelligence (AAAI), 2020.

[C18]          Peiquan Sun, Wengang Zhou, and Houqiang Li, “Attentive Experience Replay,” AAAI Conference on Artificial Intelligence (AAAI), 2020.

[C19]          Jiajun Deng, Yingwei Pan, Wengang Zhou, Ting Yao, Houqiang Li, and Tao Mei, “Relation Distillation Networks for Video Object Detection,” IEEE International Conference on Computer Vision (ICCV), 2019.

[C20]          Junfu Pu, Wengang Zhou, and Houqiang Li, “Iterative Alignment Network for Continuous Sign Language Recognition,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Feb. 2019.

[C21]          Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, and Houqiang Li, “Unsupervised Deep Tracking,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Feb. 2019.

[C22]          Jianglei Huang and Wengang Zhou, “Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking,” AAAI Conference on Artificial Intelligence (AAAI), 2019.

[C23]          Yiheng Liu, Zhenxun Yuan, Wengang Zhou, and Houqiang Li, “Spatial and Temporal Mutual Promotion for Video-based Person Re-identification,” AAAI Conference on Artificial Intelligence (AAAI), 2019.

[C24]          Yuanqiang Fang, Wengang Zhou, Yijuan Lu, Jinhui Tang, Qi Tian, and Houqiang Li, “Cascaded Feature Augmentation with Diffusion for Image Retrieval,” ACM International Conference on Multimedia (MM), Oral Paper, July 2018.

[C25]          Jiayu Wang, Wengang Zhou, Jinhui Tang, Zhongqian Fu, Qi Tian, and Houqiang Li, “Unregularized Auto-Encoder with Generative Adversarial Networks for Image Generation,” ACM International Conference on Multimedia (MM), Poster Paper, July 2018.

[C26]          Xusong Chen, Dong Liu, Zheng-Jun Zha, Wengang Zhou, and Zhiwei Xiong, “Temporal Hierarchical Attention at Category- and Item-Level for Micro-Video Click-Through Prediction,” ACM International Conference on Multimedia (MM), July 2018.

[C27]          Shuo Wang, Dan Guo, Wengang Zhou, Zheng-Jun Zha, and Meng Wang, “Connectionist Temporal Fusion for Sign Language Translation,” ACM International Conference on Multimedia (MM), July 2018.

[C28]          Xiaotian Zhu, Wengang Zhou, and Houqiang Li, “Improving Deep Neural Network Sparsity through Decorrelation Regularization,” International Joint Conference on Artificial Intelligence (IJCAI), April 2018.

[C29]          Junfu Pu, Wengang Zhou, and Houqiang Li, “Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition,” International Joint Conference on Artificial Intelligence (IJCAI), April 2018.

[C30]          Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, and Houqiang Li, “Multi-Cue Correlation Filters for Robust Visual Tracking,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Feb. 2018.

[C31]          Jie Huang, Wengang Zhou, Qilin Zhang, Houqiang Li and Weiping Li, “Video-based Sign Language Recognition without Temporal Segmentation,” AAAI Conference on Artificial Intelligence (AAAI), 2018.  

[C32]          Dan Guo, Wengang Zhou, Meng Wang, and Houqiang Li, “Hierarchical LSTM for Sign Language Translation,” AAAI Conference on Artificial Intelligence (AAAI), 2018.

[C33]          Min Wang, Wengang Zhou, Qi Tian, Junfu Pu, and Houqiang Li, “Deep Supervised Quantization by Self-Organized Map,” ACM International Conference on Multimedia (MM), Long Paper, 2017.

[C34]          Min Wang, Wengang Zhou, Qi Tian, Zheng-jun Zha, and Houqiang Li, "Linear Distance Preserving Pseudo-Supervised and Unsupervised Hashing," ACM International Conference on Multimedia (MM), long paper, June 2016.

[C35]          Xiaopeng Zhang, Hongkai Xiong, Wengang Zhou, Weiyao Lin, and Qi Tian, "Picking Deep Filter Responses for Fine-grained Image Recognition," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

[C36]          Peng Zhang, Wengang Zhou, Lei Wu, and Houqiang Li, "SOM: Semantic Obviousness Metric for Image Quality Assessment," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

[C37]          Xiaopeng Zhang, Hongkai Xiong, Wengang Zhou and Qi Tian, " Fused One-vs-All Middle Level Feature for Fine-Grained Visual Categorization," ACM International Conference on Multimedia (MM), long paper, July 2014.

[C38]          Liang Zheng, Shengjin Wang, Wengang Zhou, and Qi Tian, “Bayes merging of multiple vocabularies for scalable image retrieval,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2014.

[C39]          Junhua Mao, Houqiang Li, Wengang Zhou, Shuicheng Yan, and Qi Tian, “Scale-based region growing for scene text detection,” ACM International Conference on Multimedia (MM), long paper, pp. 1007-1016, 2013.

[C40]          Wengang Zhou, Yijuan Lu, Houqiang Li, and Qi Tian, “Scalar quantization for large scale image search,” ACM International Conference on Multimedia (MM), long paper, pp. 169-178, 2012.  

[C41]          Zhen Liu, Houqiang Li, Wengang Zhou, and Qi Tian, “Embedding spatial context information into inverted file for large-scale image retrieval,” ACM International Conference on Multimedia (MM), long paper, pp. 199-208, 2012.  

[C42]          Wengang Zhou, Yijuan Lu, Houqiang Li, Y. Song, and Qi Tian, “Spatial coding for large scale partial-duplicate Web image search,” ACM International Conference on Multimedia (MM), long paper, pp.131-140, 2010.