Zezhou Cheng

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Saliency Detection

Labeled Instances

Top Venues

Publications

Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue
Machine Unlearning of Pre-trained Large Language Models. ACL (1) (2024)
Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue
Machine Unlearning of Pre-trained Large Language Models. CoRR (2024)
Zezhou Cheng, Matheus Gadelha, Subhransu Maji
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. ICCV (Workshops) (2023)
Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. ICCV (2023)
Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. CoRR (2023)
Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle Olszewski, Zeng Huang, Subhransu Maji, Sergey Tulyakov
Cross-modal 3D Shape Generation and Manipulation. ECCV (3) (2022)
Oindrila Saha, Zezhou Cheng, Subhransu Maji
Improving Few-Shot Part Segmentation Using Coarse Supervision. ECCV (30) (2022)
Oindrila Saha, Zezhou Cheng, Subhransu Maji
Improving Few-Shot Part Segmentation using Coarse Supervision. CoRR (2022)
Oindrila Saha, Zezhou Cheng, Subhransu Maji
GANORCON: Are Generative Models Useful for Few-shot Segmentation? CVPR (2022)
Zezhou Cheng, Matheus Gadelha, Subhransu Maji
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. CoRR (2022)
Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle Olszewski, Zeng Huang, Subhransu Maji, Sergey Tulyakov
Cross-Modal 3D Shape Generation and Manipulation. CoRR (2022)
Zezhou Cheng, Subhransu Maji, Daniel Sheldon
AI for conservation: learning to track birds with radar. XRDS 27 (4) (2021)
Jong-Chyi Su, Zezhou Cheng, Subhransu Maji
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. CVPR (2021)
Jong-Chyi Su, Zezhou Cheng, Subhransu Maji
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. CoRR (2021)
Oindrila Saha, Zezhou Cheng, Subhransu Maji
GANORCON: Are Generative Models Useful for Few-shot Segmentation? CoRR (2021)
Zezhou Cheng, Jong-Chyi Su, Subhransu Maji
On Equivariant and Invariant Learning of Object Landmark Representations. ICCV (2021)
Zezhou Cheng, Jong-Chyi Su, Subhransu Maji
Unsupervised Discovery of Object Landmarks via Contrastive Learning. CoRR (2020)
Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler
Detecting and Tracking Communal Bird Roosts in Weather Radar Data. CoRR (2020)
Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler
Detecting and Tracking Communal Bird Roosts in Weather Radar Data. AAAI (2020)
Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
A Bayesian Perspective on the Deep Image Prior. CoRR (2019)
Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
A Bayesian Perspective on the Deep Image Prior. CVPR (2019)
Zezhou Cheng, Qingxiong Yang, Bin Sheng
Colorization Using Neural Network Ensemble. IEEE Trans. Image Process. 26 (11) (2017)
Zezhou Cheng, Qingxiong Yang, Bin Sheng
Deep Colorization. CoRR (2016)
Yi Yang, Bin Sheng, Wen Wu, Zezhou Cheng, Ruimin Shen
Image saliency detection based on rectangular-wave spectrum analysis. Multim. Tools Appl. 75 (11) (2016)
Zezhou Cheng, Qingxiong Yang, Bin Sheng
Deep Colorization. ICCV (2015)