Zezhou Cheng - RankMe

36 papers A* 8Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LabelAny3D: Label Any Object 3D in the Wild. CoRR Jin Yao, Radowan Mahmud Redoy, Sebastian G. Elbaum, Matthew B. Dwyer, Zezhou Cheng
2026	J	`jnl`	WildRayZer: Self-supervised Large View Synthesis in Dynamic Environments. CoRR Xuweiyi Chen, Wentao Zhou, Zezhou Cheng
2025	—	`conf`	E-BARF: Bundle Adjusting Neural Radiance Fields from a Moving Event Camera. CVPR Workshops Zhipeng Tang, Shifan Zhu, Zezhou Cheng, Donghyun Kim, Erik G. Learned-Miller
2025	J	`jnl`	Empowering Dynamic Urban Navigation with Stereo and Mid-Level Vision. CoRR Wentao Zhou, Xuweiyi Chen, Vignesh Rajagopal, Jeffrey Chen, Rohan Chandra, Zezhou Cheng
2025	J	`jnl`	Frame In-N-Out: Unbounded Controllable Image-to-Video Generation. CoRR Boyang Wang, Xuweiyi Chen, Matheus Gadelha, Zezhou Cheng
2025	J	`jnl`	Point-MoE: Towards Cross-Domain Generalization in 3D Semantic Segmentation via Mixture-of-Experts. CoRR Xuweiyi Chen, Wentao Zhou, Aruni RoyChowdhury, Zezhou Cheng
2025	A*	`conf`	Probing the Mid-level Vision Capabilities of Self-Supervised Learning. CVPR Xuweiyi Chen, Markus Marks, Zezhou Cheng
2025	J	`jnl`	SAB3R: Semantic-Augmented Backbone in 3D Reconstruction. CoRR Xuweiyi Chen, Tian Xia, Sihan Xu, Jianing Yang, Joyce Chai, Zezhou Cheng
2024	J	`jnl`	Learning 3D Representations from Procedural 3D Programs. CoRR Xuweiyi Chen, Zezhou Cheng
2024	—	`conf`	Machine Unlearning of Pre-trained Large Language Models. ACL (1) Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue
2024	J	`jnl`	Machine Unlearning of Pre-trained Large Language Models. CoRR Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue
2024	J	`jnl`	Open Vocabulary Monocular 3D Object Detection. CoRR Jin Yao, Hao Gu, Xuweiyi Chen, Jiayun Wang, Zezhou Cheng
2024	J	`jnl`	Probing the Mid-level Vision Capabilities of Self-Supervised Learning. CoRR Xuweiyi Chen, Markus Marks, Zezhou Cheng
2023	—	`conf`	Accidental Turntables: Learning 3D Pose by Watching Objects Turn. ICCV (Workshops) Zezhou Cheng, Matheus Gadelha, Subhransu Maji
2023	A*	`conf`	LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. ICCV Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia
2023	J	`jnl`	LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. CoRR Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia
2022	J	`jnl`	Accidental Turntables: Learning 3D Pose by Watching Objects Turn. CoRR Zezhou Cheng, Matheus Gadelha, Subhransu Maji
2022	J	`jnl`	Cross-Modal 3D Shape Generation and Manipulation. CoRR Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle Olszewski, Zeng Huang, Subhransu Maji, Sergey Tulyakov
2022	—	`conf`	Cross-modal 3D Shape Generation and Manipulation. ECCV (3) Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle Olszewski, Zeng Huang, Subhransu Maji, Sergey Tulyakov
2022	A*	`conf`	GANORCON: Are Generative Models Useful for Few-shot Segmentation? CVPR Oindrila Saha, Zezhou Cheng, Subhransu Maji
2022	—	`conf`	Improving Few-Shot Part Segmentation Using Coarse Supervision. ECCV (30) Oindrila Saha, Zezhou Cheng, Subhransu Maji
2022	J	`jnl`	Improving Few-Shot Part Segmentation using Coarse Supervision. CoRR Oindrila Saha, Zezhou Cheng, Subhransu Maji
2021	A*	`conf`	A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. CVPR Jong-Chyi Su, Zezhou Cheng, Subhransu Maji
2021	J	`jnl`	A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. CoRR Jong-Chyi Su, Zezhou Cheng, Subhransu Maji
2021	J	`jnl`	AI for conservation: learning to track birds with radar. XRDS Zezhou Cheng, Subhransu Maji, Daniel Sheldon
2021	J	`jnl`	GANORCON: Are Generative Models Useful for Few-shot Segmentation? CoRR Oindrila Saha, Zezhou Cheng, Subhransu Maji
2021	A*	`conf`	On Equivariant and Invariant Learning of Object Landmark Representations. ICCV Zezhou Cheng, Jong-Chyi Su, Subhransu Maji
2020	A*	`conf`	Detecting and Tracking Communal Bird Roosts in Weather Radar Data. AAAI Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler
2020	J	`jnl`	Detecting and Tracking Communal Bird Roosts in Weather Radar Data. CoRR Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler
2020	J	`jnl`	Unsupervised Discovery of Object Landmarks via Contrastive Learning. CoRR Zezhou Cheng, Jong-Chyi Su, Subhransu Maji
2019	A*	`conf`	A Bayesian Perspective on the Deep Image Prior. CVPR Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
2019	J	`jnl`	A Bayesian Perspective on the Deep Image Prior. CoRR Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
2017	J	`jnl`	Colorization Using Neural Network Ensemble. IEEE Trans. Image Process. Zezhou Cheng, Qingxiong Yang, Bin Sheng
2016	J	`jnl`	Deep Colorization. CoRR Zezhou Cheng, Qingxiong Yang, Bin Sheng
2016	J	`jnl`	Image saliency detection based on rectangular-wave spectrum analysis. Multim. Tools Appl. Yi Yang, Bin Sheng, Wen Wu, Zezhou Cheng, Ruimin Shen
2015	A*	`conf`	Deep Colorization. ICCV Zezhou Cheng, Qingxiong Yang, Bin Sheng