Publications
You can also find the full list of my articles on my Google Scholar profile.
2021
 | VidTr: Video Transformer Without Convolutions Xinyu Li, Yanyi Zhang, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe arXiv preprint arXiv:2104.11746, 2021 arxiv |
 | Domain Consensus Clustering for Universal Domain Adaptation Guangrui Li, Guoliang Kang, Yi Zhu, Yunchao Wei, Yi Yang Computer Vision and Pattern Recognition (CVPR) 2021 arxiv code |
 | AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn Newsam Computer Vision and Pattern Recognition (CVPR) 2021 Workshop arxiv |
 | SelfNorm and CrossNorm for Out-of-Distribution Robustness Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris Metaxas arXiv preprint arXiv:2102.02811, 2021 arxiv |
 | Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn Newsam IEEE Winter Conference on Applications of Computer Vision (WACV) 2021 arxiv code |
2020
 | A Comprehensive Study of Deep Video Action Recognition Yi Zhu, Xinyu Li, Chunhui Liu, Mohammadreza Zolfaghari, Yuanjun Xiong, Chongruo Wu, Zhi Zhang, Joseph Tighe, R. Manmatha, Mu Li arXiv preprint arXiv:2012.06567, 2020 arxiv code |
 | NUTA: Non-uniform Temporal Aggregation for Action Recognition Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe arXiv preprint arXiv:2012.08041, 2020 arxiv |
 | Towards Good Practices in Self-supervised Representation Learning Srikar Appalaraju, Yi Zhu, Yusheng Xie, István Fehérvári Conference on Neural Information Processing Systems (NeurIPS) 2020 Workshop arxiv |
 | Improving Semantic Segmentation via Self-Training Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li and Alexander Smola arXiv preprint arXiv:2004.14960, 2020 arxiv code |
 | ResNeSt: Split-Attention Networks Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li and Alexander Smola arXiv preprint arXiv:2004.08955, 2020 arxiv code |
 | Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior Hu Zhang, Linchao Zhu, Yi Zhu and Yi Yang European Conference on Computer Vision (ECCV) 2020 arxiv code |
 | Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features Yuxin Tian, Xueqing Deng, Yi Zhu and Shawn Newsam IEEE Winter Conference on Applications of Computer Vision (WACV) 2020 arxiv |
 | GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng and Yi Zhu Journal of Machine Learning Research (JMLR), 2020 arxiv code |
2019
 | Motion-Aware Feature for Improved Video Anomaly Detection Yi Zhu and Shawn Newsam British Machine Vision Conference (BMVC) 2019 arxiv |
 | Improving Semantic Segmentation via Video Propagation and Label Relaxation Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao and Bryan Catanzaro Computer Vision and Pattern Recognition (CVPR) 2019 Oral arxiv code |
 | Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images Yi Zhu, Xueqing Deng and Shawn Newsam IEEE Transactions on Multimedia (TMM) 2019 arxiv |
2018
 | Hidden Two-Stream Convolutional Networks for Action Recognition Yi Zhu, Zhenzhong Lan, Shawn Newsam and Alexander G Hauptmann Asian Conference on Computer Vision (ACCV) 2018 arxiv code |
 | Random Temporal Skipping for Multirate Video Analysis Yi Zhu and Shawn Newsam Asian Conference on Computer Vision (ACCV) 2018 arxiv |
 | Gated Transfer Network for Transfer Learning Yi Zhu, Jia Xue, and Shawn Newsam Asian Conference on Computer Vision (ACCV) 2018 arxiv code |
 | What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks Xueqing Deng, Yi Zhu, and Shawn Newsam ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2018 Oral arxiv |
 | Towards Universal Representation for Unseen Action Recognition Yi Zhu, Yang Long, Yu Guan, Shawn Newsam and Ling Shao Computer Vision and Pattern Recognition (CVPR) 2018 arxiv |
 | Learning Optical Flow via Dilated Networks and Occlusion Reasoning Yi Zhu and Shawn Newsam IEEE International Conference on Image Processing (ICIP) 2018 arxiv |
 | Spatial Morphing Kernel Regression For Feature Interpolation Xueqing Deng, Yi Zhu, and Shawn Newsam IEEE International Conference on Image Processing (ICIP) 2018 arxiv |
2017
 | Large-Scale Mapping of Human Activity using Geo-Tagged Videos Yi Zhu, Sen Liu and Shawn Newsam ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2017 arxiv |
 | DenseNet for Dense Flow Yi Zhu and Shawn Newsam IEEE International Conference on Image Processing (ICIP) 2017 Oral arxiv |
 | Guided Optical Flow Learning Yi Zhu, Zhenzhong Lan, Shawn Newsam and Alexander G Hauptmann Computer Vision and Pattern Recognition (CVPR) 2017 Workshop arxiv code |
 | Deep Local Video Feature for Action Recognition Zhenzhong Lan, Yi Zhu, Alexander G Hauptmann and Shawn Newsam Computer Vision and Pattern Recognition (CVPR) 2017 Workshop Oral arxiv |
 | Efficient Action Detection in Untrimmed Videos via Multi-Task Learning Yi Zhu and Shawn Newsam IEEE Winter Conference on Applications of Computer Vision (WACV) 2017 Oral arxiv |
2016
 | Spatio-Temporal Sentiment Hotspot Detection using Geotagged Photos Yi Zhu and Shawn Newsam ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2016 arxiv |
 | Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition Yi Zhu and Shawn Newsam European Conference on Computer Vision (ECCV) 2016 Workshop Oral arxiv |
 | UC Merced Submission to the ActivityNet Challenge 2016 Yi Zhu and Shawn Newsam CVPR 2016 ActivityNet challenge. Untrimmed Video Classification Track arxiv |
Before 2016
Yi Zhu and Shawn Newsam, Land Use Classification using Convolutional Neural Networks Applied to Ground-Level Images, ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2015 (Best Poster Award) arxiv
Yi Zhu, Lingjia Liu and Jianzhong Zhang, Joint Angle and Delay Estimation for 2D Active Broadband MIMO-OFDM Systems, IEEE Global Communications Conference (GLOBECOM) 2013 arxiv
Yi Zhu, Lingjia Liu, Anding Wang, Krishna Sayana and Jianzhong Zhang, DoA Estimation and Capacity Analysis for 2D Active Massive MIMO Systems, IEEE International Conference on Communications (ICC) 2013 arxiv