Yi Zhu - RankMe

101 papers A* 14A 6B 3Journal 62Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Back to Basics: Revisiting ASR in the Age of Voice Agents. CoRR Geeyang Tay, Wentao Ma, Jaewon Lee, Yuzhi Tang, Daniel Lee, Weisu Yin, Dongming Shen, Silin Meng, Yi Zhu, Mu Li, Alex Smola
2026	J	`jnl`	Multi-dimensional Assessment and Explainable Feedback for Counselor Responses to Client Resistance in Text-based Counseling with LLMs. CoRR Anqi Li, Ruihan Wang, Zhaoming Chen, Yuqian Chen, Yu Lu, Yi Zhu, Yuan Xie, Zhenzhong Lan
2025	A*	`conf`	CAP-Net: A Unified Network for 6D Pose and Size Estimation of Categorical Articulated Parts from a Single RGB-D Image. CVPR Jingshun Huang, Haitao Lin, Tianyu Wang, Yanwei Fu, Xiangyang Xue, Yi Zhu
2025	J	`jnl`	CAP-Net: A Unified Network for 6D Pose and Size Estimation of Categorical Articulated Parts from a Single RGB-D Image. CoRR Jingshun Huang, Haitao Lin, Tianyu Wang, Yanwei Fu, Xiangyang Xue, Yi Zhu
2025	J	`jnl`	RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines. CoRR Pengfei Yu, Dongming Shen, Silin Meng, Jaewon Lee, Weisu Yin, Andrea Yaoyun Cui, Zhenlin Xu, Yi Zhu, Xingjian Shi, Mu Li, Alex Smola
2025	J	`jnl`	VidCRAFT3: Camera, Object, and Lighting Control for Image-to-Video Generation. CoRR Sixiao Zheng, Zimian Peng, Yanpeng Zhou, Yi Zhu, Hang Xu, Xiangru Huang, Yanwei Fu
2024	J	`jnl`	Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift. J. Data-centric Mach. Learn. Res. Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li
2024	J	`jnl`	Improving Semantic Segmentation via Efficient Self-Training. IEEE Trans. Pattern Anal. Mach. Intell. Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola
2024	J	`jnl`	SparseGrasp: Robotic Grasping via 3D Semantic Gaussian Splatting from Sparse Multi-View RGB Images. CoRR Junqiu Yu, Xinlin Ren, Yongchong Gu, Haitao Lin, Tianyu Wang, Yi Zhu, Hang Xu, Yu-Gang Jiang, Xiangyang Xue, Yanwei Fu
2023	A*	`conf`	AIM: Adapting Image Models for Efficient Video Action Recognition. ICLR Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li
2023	J	`jnl`	AIM: Adapting Image Models for Efficient Video Action Recognition. CoRR Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li
2023	J	`jnl`	GFM: Building Geospatial Foundation Models via Continual Pretraining. CoRR Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen, Mu Li
2023	A	`conf`	ImpDet: Exploring Implicit Fields for 3D Object Detection. WACV Xuelin Qian, Li Wang, Yi Zhu, Li Zhang, Yanwei Fu, Xiangyang Xue
2023	—	`conf`	MixGen: A New Multi-Modal Data Augmentation. WACV (Workshops) Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li
2023	A*	`conf`	Motion-Guided Masking for Spatiotemporal Representation Learning. ICCV David Fan, Jue Wang, Shuai Liao, Yi Zhu, Vimal Bhat, Hector J. Santos-Villalobos, Rohith MV, Xinyu Li
2023	J	`jnl`	Motion-Guided Masking for Spatiotemporal Representation Learning. CoRR David Fan, Jue Wang, Shuai Liao, Yi Zhu, Vimal Bhat, Hector J. Santos-Villalobos, Rohith MV, Xinyu Li
2023	A*	`conf`	PreDiff: Precipitation Nowcasting with Latent Diffusion Models. NeurIPS Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Yuyang Wang
2023	J	`jnl`	PreDiff: Precipitation Nowcasting with Latent Diffusion Models. CoRR Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Yi Zhu, Mu Li, Yuyang Wang
2023	A*	`conf`	Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition. NeurIPS Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alexander J. Smola, Xu Sun
2023	J	`jnl`	Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition. CoRR Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alex Smola, Xu Sun
2023	J	`jnl`	SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation. CoRR Yash Patel, Yusheng Xie, Yi Zhu, Srikar Appalaraju, R. Manmatha
2023	—	`conf`	Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation. ACL (1) Yuxin Ren, Zihan Zhong, Xingjian Shi, Yi Zhu, Chun Yuan, Mu Li
2023	J	`jnl`	Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation. CoRR Yuxin Ren, Zihan Zhong, Xingjian Shi, Yi Zhu, Chun Yuan, Mu Li
2023	A*	`conf`	Towards Geospatial Foundation Models via Continual Pretraining. ICCV Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen
2023	J	`jnl`	What Makes for Good Tokenizers in Vision Transformer? IEEE Trans. Pattern Anal. Mach. Intell. Shengju Qian, Yi Zhu, Wenbo Li, Mu Li, Jiaya Jia
2022	J	`jnl`	Are Multimodal Models Robust to Image and Text Perturbations? CoRR Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li
2022	J	`jnl`	BiCSNet: A Bidirectional Cross-Scale Backbone for Recognition and Localization. IEEE Trans. Circuits Syst. Video Technol. Song Peng, Zhenfeng Shao, Xiao Huang, Yi Zhu, Ruiqian Zhang, Junwei Zha
2022	—	`conf`	BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training. CVPR Workshops Likun Cai, Zhi Zhang, Yi Zhu, Li Zhang, Mu Li, Xiangyang Xue
2022	J	`jnl`	BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training. CoRR Likun Cai, Zhi Zhang, Yi Zhu, Li Zhang, Mu Li, Xiangyang Xue
2022	A*	`conf`	Earthformer: Exploring Space-Time Transformers for Earth System Forecasting. NeurIPS Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung
2022	J	`jnl`	Earthformer: Exploring Space-Time Transformers for Earth System Forecasting. CoRR Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung
2022	J	`jnl`	ImpDet: Exploring Implicit Fields for 3D Object Detection. CoRR Xuelin Qian, Li Wang, Yi Zhu, Li Zhang, Yanwei Fu, Xiangyang Xue
2022	J	`jnl`	MixGen: A New Multi-Modal Data Augmentation. CoRR Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li
2022	A	`conf`	NUTA: Non-uniform Temporal Aggregation for Action Recognition. WACV Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe
2022	A*	`conf`	Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. ICML Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J. Smola, Zhangyang Wang
2022	J	`jnl`	Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. CoRR Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex Smola, Zhangyang Wang
2022	—	`conf`	ResNeSt: Split-Attention Networks. CVPR Workshops 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
2022	J	`jnl`	SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning. CoRR M. Saiful Bari, Aston Zhang, Shuai Zheng, Xingjian Shi, Yi Zhu, Shafiq Joty, Mu Li
2022	J	`jnl`	Visual Prompt Tuning for Test-time Domain Adaptation. CoRR Yunhe Gao, Xingjian Shi, Yi Zhu, Hao Wang, Zhiqiang Tang, Xiong Zhou, Mu Li, Dimitris N. Metaxas
2022	J	`jnl`	What Makes for Good Tokenizers in Vision Transformer? CoRR Shengju Qian, Yi Zhu, Wenbo Li, Mu Li, Jiaya Jia
2021	—	`conf`	A Unified Efficient Pyramid Transformer for Semantic Segmentation. ICCVW Fangrui Zhu, Yi Zhu, Li Zhang, Chongruo Wu, Yanwei Fu, Mu Li
2021	J	`jnl`	A Unified Efficient Pyramid Transformer for Semantic Segmentation. CoRR Fangrui Zhu, Yi Zhu, Li Zhang, Chongruo Wu, Yanwei Fu, Mu Li
2021	J	`jnl`	AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation. CoRR Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
2021	A*	`conf`	Blending Anti-Aliasing into Vision Transformer. NeurIPS Shengju Qian, Hao Shao, Yi Zhu, Mu Li, Jiaya Jia
2021	J	`jnl`	Blending Anti-Aliasing into Vision Transformer. CoRR Shengju Qian, Hao Shao, Yi Zhu, Mu Li, Jiaya Jia
2021	A*	`conf`	CrossNorm and SelfNorm for Generalization under Distribution Shifts. ICCV Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas
2021	A*	`conf`	Progressive Coordinate Transforms for Monocular 3D Object Detection. NeurIPS Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue
2021	J	`jnl`	Progressive Coordinate Transforms for Monocular 3D Object Detection. CoRR Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue
2021	A	`conf`	Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. WACV Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
2021	J	`jnl`	SelfNorm and CrossNorm for Out-of-Distribution Robustness. CoRR Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas
2021	A*	`conf`	VidTr: Video Transformer Without Convolutions. ICCV Yanyi Zhang, Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe
2021	J	`jnl`	VidTr: Video Transformer Without Convolutions. CoRR Xinyu Li, Yanyi Zhang, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe
2021	—	`conf`	Video Contrastive Learning with Global Context. ICCVW Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li
2021	J	`jnl`	Video Contrastive Learning with Global Context. CoRR Haofei Kuang, Yi Zhu, Zhi Zhang, Xinyu Li, Joseph Tighe, Sören Schwertfeger, Cyrill Stachniss, Mu Li
2020	J	`jnl`	A Comprehensive Study of Deep Video Action Recognition. CoRR Yi Zhu, Xinyu Li, Chunhui Liu, Mohammadreza Zolfaghari, Yuanjun Xiong, Chongruo Wu, Zhi Zhang, Joseph Tighe, R. Manmatha, Mu Li
2020	A	`conf`	Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features. WACV Yuxin Tian, Xueqing Deng, Yi Zhu, Shawn D. Newsam
2020	J	`jnl`	GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. J. Mach. Learn. Res. 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
2020	J	`jnl`	Improving Semantic Segmentation via Self-Training. CoRR Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola
2020	J	`jnl`	NUTA: Non-uniform Temporal Aggregation for Action Recognition. CoRR Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe
2020	J	`jnl`	ResNeSt: Split-Attention Networks. CoRR Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola
2020	J	`jnl`	Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. CoRR Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
2019	J	`jnl`	Exploring Temporal Information for Improved Video Understanding. CoRR Yi Zhu
2019	—	`—`	Exploring Temporal Information for Improved Video Understanding. Yi Zhu
2019	J	`jnl`	Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images. IEEE Trans. Multim. Yi Zhu, Xueqing Deng, Shawn D. Newsam
2019	J	`jnl`	Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling. CoRR Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
2019	A*	`conf`	Improving Semantic Segmentation via Video Propagation and Label Relaxation. CVPR Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
2019	A	`conf`	Motion-Aware Feature for Improved Video Anomaly Detection. BMVC Yi Zhu, Shawn D. Newsam
2019	J	`jnl`	Motion-Aware Feature for Improved Video Anomaly Detection. CoRR Yi Zhu, Shawn D. Newsam
2019	J	`jnl`	Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery. CoRR Xueqing Deng, Yi Zhu, Shawn D. Newsam
2018	J	`jnl`	Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images. CoRR Yi Zhu, Xueqing Deng, Shawn D. Newsam
2018	—	`conf`	Gated Transfer Network for Transfer Learning. ACCV (4) Yi Zhu, Jia Xue, Shawn D. Newsam
2018	J	`jnl`	Gated Transfer Network for Transfer Learning. CoRR Yi Zhu, Jia Xue, Shawn D. Newsam
2018	—	`conf`	Hidden Two-Stream Convolutional Networks for Action Recognition. ACCV (3) Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann
2018	J	`jnl`	Improving Semantic Segmentation via Video Propagation and Label Relaxation. CoRR Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
2018	B	`conf`	Learning Optical Flow via Dilated Networks and Occlusion Reasoning. ICIP Yi Zhu, Shawn D. Newsam
2018	J	`jnl`	Learning Optical Flow via Dilated Networks and Occlusion Reasoning. CoRR Yi Zhu, Shawn D. Newsam
2018	—	`conf`	Random Temporal Skipping for Multirate Video Analysis. ACCV (3) Yi Zhu, Shawn D. Newsam
2018	J	`jnl`	Random Temporal Skipping for Multirate Video Analysis. CoRR Yi Zhu, Shawn D. Newsam
2018	J	`jnl`	Spatial Morphing Kernel Regression For Feature Interpolation. CoRR Xueqing Deng, Yi Zhu, Shawn D. Newsam
2018	B	`conf`	Spatial Morphing Kernel Regression for Feature Interpolation. ICIP Xueqing Deng, Yi Zhu, Shawn D. Newsam
2018	A*	`conf`	Towards Universal Representation for Unseen Action Recognition. CVPR Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao
2018	J	`jnl`	Towards Universal Representation for Unseen Action Recognition. CoRR Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao
2018	J	`jnl`	What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks. CoRR Xueqing Deng, Yi Zhu, Shawn D. Newsam
2018	—	`conf`	What is it like down there?: generating dense ground-level views and image features from overhead imagery using conditional generative adversarial networks. SIGSPATIAL/GIS Xueqing Deng, Yi Zhu, Shawn D. Newsam
2017	—	`conf`	Deep Local Video Feature for Action Recognition. CVPR Workshops Zhen-Zhong Lan, Yi Zhu, Alexander G. Hauptmann, Shawn D. Newsam
2017	J	`jnl`	Deep Local Video Feature for Action Recognition. CoRR Zhen-Zhong Lan, Yi Zhu, Alexander G. Hauptmann
2017	J	`jnl`	DenseNet for Dense Flow. CoRR Yi Zhu, Shawn D. Newsam
2017	B	`conf`	DenseNet for dense flow. ICIP Yi Zhu, Shawn D. Newsam
2017	A	`conf`	Efficient Action Detection in Untrimmed Videos via Multi-task Learning. WACV Yi Zhu, Shawn D. Newsam
2017	J	`jnl`	Guided Optical Flow Learning. CoRR Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann
2017	J	`jnl`	Hidden Two-Stream Convolutional Networks for Action Recognition. CoRR Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann
2017	J	`jnl`	Large-Scale Human Activity Mapping using Geo-Tagged Videos. CoRR Yi Zhu, Sen Liu, Shawn D. Newsam
2017	—	`conf`	Large-Scale Mapping of Human Activity using Geo-Tagged Videos. SIGSPATIAL/GIS Yi Zhu, Sen Liu, Shawn D. Newsam
2017	J	`jnl`	UC Merced Submission to the ActivityNet Challenge 2016. CoRR Yi Zhu, Shawn D. Newsam, Zaikun Xu
2016	—	`conf`	Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition. ECCV Workshops (1) Yi Zhu, Shawn D. Newsam
2016	J	`jnl`	Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition. CoRR Yi Zhu, Shawn D. Newsam
2016	J	`jnl`	Efficient Action Detection in Untrimmed Videos via Multi-Task Learning. CoRR Yi Zhu, Shawn D. Newsam
2016	J	`jnl`	Land Use Classification using Convolutional Neural Networks Applied to Ground-Level Images. CoRR Yi Zhu, Shawn D. Newsam
2016	J	`jnl`	Spatio-Temporal Sentiment Hotspot Detection Using Geotagged Photos. CoRR Yi Zhu, Shawn D. Newsam
2016	—	`conf`	Spatio-temporal sentiment hotspot detection using geotagged photos. SIGSPATIAL/GIS Yi Zhu, Shawn D. Newsam
2015	—	`conf`	Land use classification using convolutional neural networks applied to ground-level images. SIGSPATIAL/GIS Yi Zhu, Shawn D. Newsam