Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris Metaxas, SelfNorm and CrossNorm for Out-of-Distribution Robustness, arXiv preprint arXiv:2102.02811, 2021 PDF
Yi Zhu, Xinyu Li, Chunhui Liu, Mohammadreza Zolfaghari, Yuanjun Xiong, Chongruo Wu, Zhi Zhang, Joseph Tighe, R. Manmatha, Mu Li, A Comprehensive Study of Deep Video Action Recognition, arXiv preprint arXiv:2012.06567, 2020 PDF CODE
Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe, NUTA: Non-uniform Temporal Aggregation for Action Recognition, arXiv preprint arXiv:2012.08041, 2020 PDF
Srikar Appalaraju, Yi Zhu, Yusheng Xie, István Fehérvári, Towards Good Practices in Self-supervised Representation Learning, Neural Information Processing Systems (NeurIPS) Workshop, 2020 PDF
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn Newsam, Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery, IEEE Winter Conference on Applications of Computer Vision (WACV) 2021 PDF CODE
Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li and Alexander Smola, Improving Semantic Segmentation via Self-Training, arXiv preprint arXiv:2004.14960, 2020 PDF CODE
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, ResNeSt: Split-Attention Networks, arXiv preprint arXiv:2004.08955, 2020 PDF CODE
Hu Zhang, Linchao Zhu, Yi Zhu and Yi Yang, Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior, European Conference on Computer Vision (ECCV) 2020 PDF CODE
Yuxin Tian, Xueqing Deng, Yi Zhu and Shawn Newsam, Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features, IEEE Winter Conference on Applications of Computer Vision (WACV) 2020 PDF
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, GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing, Journal of Machine Learning Research (JMLR), 2020. PDF CODE
Yi Zhu and Shawn Newsam, Motion-Aware Feature for Improved Video Anomaly Detection, British Machine Vision Conference (BMVC) 2019 PDF
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao and Bryan Catanzaro, Improving Semantic Segmentation via Video Propagation and Label Relaxation, Computer Vision and Pattern Recognition (CVPR) 2019 (Oral) PDF CODE
Yi Zhu, Xueqing Deng and Shawn Newsam, Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images, IEEE Transactions on Multimedia (TMM) 2019 PDF
Yi Zhu and Shawn Newsam, Random Temporal Skipping for Multirate Video Analysis, Asian Conference on Computer Vision (ACCV) 2018 PDF
Yi Zhu, Jia Xue and Shawn Newsam, Gated Transfer Network for Transfer Learning, Asian Conference on Computer Vision (ACCV) 2018 PDF CODE
Yi Zhu, Zhenzhong Lan, Shawn Newsam and Alexander G Hauptmann, Hidden Two-Stream Convolutional Networks for Action Recognition, Asian Conference on Computer Vision (ACCV) 2018 PDF CODE
Xueqing Deng, Yi Zhu and Shawn Newsam, What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks, ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2018 (Oral) PDF
Yi Zhu, Yang Long, Yu Guan, Shawn Newsam and Ling Shao, Towards Universal Representation for Unseen Action Recognition, Computer Vision and Pattern Recognition (CVPR) 2018 PDF
Yi Zhu and Shawn Newsam, Learning Optical Flow via Dilated Networks and Occlusion Reasoning, IEEE International Conference on Image Processing (ICIP) 2018 PDF
Xueqing Deng, Yi Zhu and Shawn Newsam, Spatial Morphing Kernel Regression For Feature Interpolation, IEEE International Conference on Image Processing (ICIP) 2018 PDF
Yi Zhu, Sen Liu and Shawn Newsam, Large-Scale Mapping of Human Activity using Geo-Tagged Videos, ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2017 PDF
Yi Zhu and Shawn Newsam, DenseNet for Dense Flow, IEEE International Conference on Image Processing (ICIP) 2017 (Oral) PDF
Yi Zhu, Zhenzhong Lan, Shawn Newsam and Alexander G Hauptmann, Guided Optical Flow Learning, Computer Vision and Pattern Recognition (CVPR) 2017 Workshop PDF CODE
Zhenzhong Lan, Yi Zhu, Alexander G Hauptmann and Shawn Newsam, Deep Local Video Feature for Action Recognition, Computer Vision and Pattern Recognition (CVPR) 2017 Workshop (Oral) PDF
Yi Zhu and Shawn Newsam, Efficient Action Detection in Untrimmed Videos via Multi-Task Learning, IEEE Winter Conference on Applications of Computer Vision (WACV) 2017 (Oral) PDF
Yi Zhu and Shawn Newsam, Spatio-Temporal Sentiment Hotspot Detection using Geotagged Photos, ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2016 PDF
Yi Zhu and Shawn Newsam, Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition, European Conference on Computer Vision (ECCV) 2016 Workshop (Oral) PDF SUPP
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 PDF (Best Poster Award)
Challenge & Notebook Papers
- Yi Zhu and Shawn Newsam, UC Merced Submission to the ActivityNet Challenge 2016, CVPR 2016 ActivityNet challenge. Untrimmed Video Classification Track. PDF