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
arxivcode
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
arxivcode

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
arxivcode
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
arxivcode
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
arxivcode
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
arxivcode
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
arxivcode

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
arxivcode
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
arxivcode
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
arxivcode
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
arxivcode
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