Yi Zhu

According to our database, Yi Zhu authored at least 55 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Semantic Segmentation via Efficient Self-Training.

Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

2023

What Makes for Good Tokenizers in Vision Transformer?

Shengju Qian, Yi Zhu, Wenbo Li, Mu Li, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

GFM: Building Geospatial Foundation Models via Continual Pretraining.

Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen, Mu Li

CoRR, 2023

ImpDet: Exploring Implicit Fields for 3D Object Detection.

Xuelin Qian, Li Wang, Yi Zhu, Li Zhang, Yanwei Fu, Xiangyang Xue

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

MixGen: A New Multi-Modal Data Augmentation.

Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition.

Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alexander J. Smola, Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PreDiff: Precipitation Nowcasting with Latent Diffusion Models.

Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Yuyang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AIM: Adapting Image Models for Efficient Video Action Recognition.

Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Geospatial Foundation Models via Continual Pretraining.

Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation.

Yuxin Ren, Zihan Zhong, Xingjian Shi, Yi Zhu, Chun Yuan, Mu Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

BiCSNet: A Bidirectional Cross-Scale Backbone for Recognition and Localization.

Song Peng, Zhenfeng Shao, Xiao Huang, Yi Zhu, Ruiqian Zhang, Junwei Zha

IEEE Trans. Circuits Syst. Video Technol., 2022

SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning.

M. Saiful Bari, Aston Zhang, Shuai Zheng, Xingjian Shi, Yi Zhu, Shafiq Joty, Mu Li

CoRR, 2022

Are Multimodal Models Robust to Image and Text Perturbations?

Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li

CoRR, 2022

Visual Prompt Tuning for Test-time Domain Adaptation.

Yunhe Gao, Xingjian Shi, Yi Zhu, Hao Wang, Zhiqiang Tang, Xiong Zhou, Mu Li, Dimitris N. Metaxas

CoRR, 2022

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting.

Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition.

Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J. Smola, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2022

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training.

Likun Cai, Zhi Zhang, Yi Zhu, Li Zhang, Mu Li, Xiangyang Xue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

ResNeSt: Split-Attention Networks.

Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation.

Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam

CoRR, 2021

SelfNorm and CrossNorm for Out-of-Distribution Robustness.

Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas

CoRR, 2021

Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery.

Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Progressive Coordinate Transforms for Monocular 3D Object Detection.

Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Blending Anti-Aliasing into Vision Transformer.

Shengju Qian, Hao Shao, Yi Zhu, Mu Li, Jiaya Jia

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Unified Efficient Pyramid Transformer for Semantic Segmentation.

Fangrui Zhu, Yi Zhu, Li Zhang, Chongruo Wu, Yanwei Fu, Mu Li

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Video Contrastive Learning with Global Context.

Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

CrossNorm and SelfNorm for Generalization under Distribution Shifts.

Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

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, Yi Zhu

J. Mach. Learn. Res., 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

CoRR, 2020

Improving Semantic Segmentation via Self-Training.

Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola

CoRR, 2020

Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features.

Yuxin Tian, Xueqing Deng, Yi Zhu, Shawn D. Newsam

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Exploring Temporal Information for Improved Video Understanding.

Yi Zhu

PhD thesis, 2019

Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images.

Yi Zhu, Xueqing Deng, Shawn D. Newsam

IEEE Trans. Multim., 2019

Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling.

Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam

CoRR, 2019

Exploring Temporal Information for Improved Video Understanding.

Yi Zhu

CoRR, 2019

Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery.

Xueqing Deng, Yi Zhu, Shawn D. Newsam

CoRR, 2019

Improving Semantic Segmentation via Video Propagation and Label Relaxation.

Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Motion-Aware Feature for Improved Video Anomaly Detection.

Yi Zhu, Shawn D. Newsam

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Learning Optical Flow via Dilated Networks and Occlusion Reasoning.

Yi Zhu, Shawn D. Newsam

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Spatial Morphing Kernel Regression for Feature Interpolation.

Xueqing Deng, Yi Zhu, Shawn D. Newsam

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

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, Shawn D. Newsam

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

Towards Universal Representation for Unseen Action Recognition.

Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Gated Transfer Network for Transfer Learning.

Yi Zhu, Jia Xue, Shawn D. Newsam

Proceedings of the Computer Vision - ACCV 2018, 2018

Random Temporal Skipping for Multirate Video Analysis.

Yi Zhu, Shawn D. Newsam

Proceedings of the Computer Vision - ACCV 2018, 2018

Hidden Two-Stream Convolutional Networks for Action Recognition.

Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

UC Merced Submission to the ActivityNet Challenge 2016.

Yi Zhu, Shawn D. Newsam, Zaikun Xu

CoRR, 2017

Guided Optical Flow Learning.

Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann

CoRR, 2017

Large-Scale Human Activity Mapping using Geo-Tagged Videos.

Yi Zhu, Sen Liu, Shawn D. Newsam

CoRR, 2017

Deep Local Video Feature for Action Recognition.

Zhen-Zhong Lan, Yi Zhu, Alexander G. Hauptmann

CoRR, 2017

Efficient Action Detection in Untrimmed Videos via Multi-task Learning.

Yi Zhu, Shawn D. Newsam

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

DenseNet for dense flow.

Yi Zhu, Shawn D. Newsam

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Large-Scale Mapping of Human Activity using Geo-Tagged Videos.

Yi Zhu, Sen Liu, Shawn D. Newsam

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Deep Local Video Feature for Action Recognition.

Zhen-Zhong Lan, Yi Zhu, Alexander G. Hauptmann, Shawn D. Newsam

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Spatio-temporal sentiment hotspot detection using geotagged photos.

Yi Zhu, Shawn D. Newsam

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition.

Yi Zhu, Shawn D. Newsam

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

Land use classification using convolutional neural networks applied to ground-level images.

Yi Zhu, Shawn D. Newsam

Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015