Deep Colorization. - Zezhou Cheng; Qingxiong Yang; Bin Sheng 001 (ICCV, 2015)

Image saliency detection based on rectangular-wave spectrum analysis. - Yi Yang; Bin Sheng 001; Wen Wu 001; Zezhou Cheng; Ruimin Shen (Multim. Tools Appl., 2016)

Colorization Using Neural Network Ensemble. - Zezhou Cheng; Qingxiong Yang; Bin Sheng 001 (IEEE Trans. Image Process., 2017)

A Bayesian Perspective on the Deep Image Prior. - Zezhou Cheng; Matheus Gadelha; Subhransu Maji; Daniel Sheldon (CVPR, 2019)

Detecting and Tracking Communal Bird Roosts in Weather Radar Data. - Zezhou Cheng; Saadia Gabriel; Pankaj Bhambhani; Daniel Sheldon; Subhransu Maji; Andrew Laughlin; David Winkler (AAAI, 2020)

Unsupervised Discovery of Object Landmarks via Contrastive Learning. - Zezhou Cheng; Jong-Chyi Su; Subhransu Maji (CoRR, 2020)

A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. - Jong-Chyi Su; Zezhou Cheng; Subhransu Maji (CVPR, 2021)

On Equivariant and Invariant Learning of Object Landmark Representations. - Zezhou Cheng; Jong-Chyi Su; Subhransu Maji (ICCV, 2021)

AI for conservation: learning to track birds with radar. - Zezhou Cheng; Subhransu Maji; Daniel Sheldon (XRDS, 2021)

GANORCON: Are Generative Models Useful for Few-shot Segmentation? - Oindrila Saha; Zezhou Cheng; Subhransu Maji (CVPR, 2022)

Cross-modal 3D Shape Generation and Manipulation. - Zezhou Cheng; Menglei Chai; Jian Ren 005; Hsin-Ying Lee 001; Kyle Olszewski; Zeng Huang; Subhransu Maji; Sergey Tulyakov (ECCV (3), 2022)

Improving Few-Shot Part Segmentation Using Coarse Supervision. - Oindrila Saha; Zezhou Cheng; Subhransu Maji (ECCV (30), 2022)

LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. - Zezhou Cheng; Carlos Esteves; Varun Jampani; Abhishek Kar; Subhransu Maji; Ameesh Makadia (ICCV, 2023)

Accidental Turntables: Learning 3D Pose by Watching Objects Turn. - Zezhou Cheng; Matheus Gadelha; Subhransu Maji (ICCV (Workshops), 2023)

Machine Unlearning of Pre-trained Large Language Models. - Jin Yao; Eli Chien; Minxin Du; Xinyao Niu; Tianhao Wang 001; Zezhou Cheng; Xiang Yue (ACL (1), 2024)

Open Vocabulary Monocular 3D Object Detection. - Jin Yao; Hao Gu; Xuweiyi Chen; Jiayun Wang; Zezhou Cheng (CoRR, 2024)

Learning 3D Representations from Procedural 3D Programs. - Xuweiyi Chen; Zezhou Cheng (CoRR, 2024)

Probing the Mid-level Vision Capabilities of Self-Supervised Learning. - Xuweiyi Chen; Markus Marks; Zezhou Cheng (CVPR, 2025)

E-BARF: Bundle Adjusting Neural Radiance Fields from a Moving Event Camera. - Zhipeng Tang; Shifan Zhu; Zezhou Cheng; Donghyun Kim 002; Erik G. Learned-Miller (CVPR Workshops, 2025)

Frame In-N-Out: Unbounded Controllable Image-to-Video Generation. - Boyang Wang; Xuweiyi Chen; Matheus Gadelha; Zezhou Cheng (CoRR, 2025)

Point-MoE: Towards Cross-Domain Generalization in 3D Semantic Segmentation via Mixture-of-Experts. - Xuweiyi Chen; Wentao Zhou; Aruni RoyChowdhury; Zezhou Cheng (CoRR, 2025)

SAB3R: Semantic-Augmented Backbone in 3D Reconstruction. - Xuweiyi Chen; Tian Xia; Sihan Xu; Jianing Yang; Joyce Chai; Zezhou Cheng (CoRR, 2025)