中科大先研院研究生校内导师简历

周文罡 教授/无

姓名 周文罡
学位/职称 教授/无
所属单位 中国科学技术大学信息学院6系
办公室电话
Email 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

 
研究领域

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

 
获得荣誉、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)

 
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

 
论文、著作、成果
Jiajun Deng, Zhengyuan Yang, Daqing Liu, Tianlang Chen, Wengang Zhou, Yanyong Zhang, Houqiang Li, and Wanli Ouyang, “TransVG++: End-to-End Visual Grounding with Language Conditioned Vision Transformer,” Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), July 2023.

Hezhen Hu, Weichao Zhao, Wengang Zhou, and Houqiang Li, “SignBERT+: Hand-model-aware Self-supervised Pre-training for Sign Language Understanding,” Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), April 2023.

Yiheng Liu, Wengang Zhou, Qiaokang Xie, and Houqiang Li, “Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling,” Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), July 2022.

Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Tie-Yan Liu, and Houqiang Li, “Masked Contrastive Representation Learning for Reinforcement Learning,” Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), May 2022.

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.

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.

Ning Wang, Wengang Zhou, Yibing Song, Chao Ma, Wei Liu, and Houqiang Li, “Unsupervised Deep Representation Learning for Real-Time Tracking,” International Journal of Computer Vision (IJCV), 129(2): 400-418, 2021.

Yixuan Wang, Wengang Zhou, Jianmin Bao, Weilun Wang, Li Li, and Houqiang Li, “CLIP2GAN: Towards Bridging Text with the Latent Space of GANs,” Accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), July 2023.

Zhiyang Guo, Wengang Zhou, Min Wang, Li Li, and Houqiang Li, “HandNeRF: Neural Radiance Fields for Animatable Interacting Hands,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

Hui Wu, Min Wang, Wengang Zhou, and Houqiang Li, “Rank Preserving Framework for Asymmetric Image Retrieval,” Accepted to International Conference on Learning Representations (ICLR), January 2023.

Mingyu Yang, Jian Zhao, Xunhan Hu, Wengang Zhou, Jiangcheng Zhu, and Houqiang Li, “LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning,” Advances in Neural Information Processing Systems (NeurIPS), 2022.

Hao Feng, Wengang Zhou, Jiajun Deng, Yuechen Wang, and Houqiang Li, “Geometric Representation Learning for Document Image Rectification,” European Conference on Computer Vision (ECCV), 2022.

Ning Wang, Wengang Zhou, Jie Wang, and Houqiang Li, “Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1571-1580, Oral Paper, 2021.

Weilun Wang, Wengang Zhou, Jianmin Bao, Dong Chen, and Houqiang Li, “Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation,” International Conference on Computer Vision (ICCV), pp. 14020-14029, 2021.

Hao Zhou, Wengang Zhou, Weizhen Qi, Junfu Pu, and Houqiang Li, “Improving Sign Language Translation with Monolingual Data by Sign Back-Translation,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1316-1325, 2021.

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.

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.

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.

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.

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. 6, pp. 4269-4279, 2012.

编辑:徐若兰 2024-05-04 20:57:24