Computer Vision Lab

University of Virginia

2024

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Learning 3D Representations from Procedural 3D Programs

Xuweiyi Chen, Zezhou Cheng

arXiv:2411.17467

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Probing the Mid-level Vision Capabilities of Self-Supervised Learning

Xuweiyi Chen, Markus Marks, Zezhou Cheng

arXiv:2411.17474

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Open Vocabulary Monocular 3D Object Detection

Jin Yao, Hao Gu, Xuweiyi Chen, Jiayun Wang, Zezhou Cheng

arXiv:2411.16833

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Using spatio-temporal information in weather radar data to detect and track communal bird roosts

Gustavo Perez, Wenlong Zhao, Zezhou Cheng, Maria Carolina Belotti, Yuting Deng, Victoria Simons, Elske Tielens, Jeffrey Kelly, Kyle Horton, Subhransu Maji, Daniel Sheldon

Remote Sensing in Ecology and Conservation. 2024;

2023

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LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs

Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia

IEEE International Conference on Computer Vision (ICCV), 2023.

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Accidental Turntables: Learning 3D Pose by Watching Objects Turn

Zezhou Cheng, Matheus Gadelha, Subhransu Maji

ICCV workshop on Recovering 6D Object Pose (ICCV workshop), 2023.

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ZeoNet: 3D convolutional neural networks for predicting adsorption in nanoporous zeolites

Yachan Liu*, Gustavo Perez*, Zezhou Cheng, Aaron Sun, Samuel Hoover, Wei Fan, Subhransu Maji, Peng Bai (*equal contribution)

Journal of Materials Chemistry A, 2023.

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A Semi-Automated System to Annotate Communal Roosts in Large-Scale Weather Radar Data

Wenlong Zhao, Gustavo Perez, Zezhou Cheng, Maria Carolina Belotti, Yuting Deng, Victoria Simons, Elske Tielens, Jeffrey Kelly, Kyle Horton, Subhransu Maji, Daniel Sheldon

NeurIPS 2023 Computational Sustainability: Pitfalls and Promises from Theory to Deployment

2022

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Cross-Modal 3D Shape Generation and Manipulation

Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle Olszewski, Zeng Huang, Subhransu Maji, Sergey Tulyakov

European Conference on Computer Vision (ECCV) 2022

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Long-term analysis of persistence and size of swallow and martin roosts in the US Great Lakes

Maria Belotti, Yuting Deng, Wenlong Zhao, Victoria Simons, Zezhou Cheng, Gustavo Perez, Elske Tielens, Subhransu Maji, Daniel Sheldon, Jeffrey Kelly, Kyle Horton

Remote Sensing in Ecology and Conservation, 2022

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Quantifying Long-term Phenological Patterns of Aerial Insectivores Roosting in the Great Lakes Region using Weather Surveillance Radar

Yuting Deng, Maria Belotti, Wenlong Zhao, Zezhou Cheng, Gustavo Perez, Elske Tielens, Victoria Simons, Daniel Sheldon, Subhransu Maji, Jeff Kelly, Kyle Horton

Global Change Biology, 2022 (impact factor: 13.21)

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Improving Few-Shot Part Segmentation using Coarse Supervision

Oindrila Saha, Zezhou Cheng, Subhransu Maji

European Conference on Computer Vision (ECCV) 2022

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GANORCON: Are Generative Models Useful for Few-shot Segmentation?

Oindrila Saha, Zezhou Cheng, Subhransu Maji

Computer Vision and Pattern Recognition (CVPR), 2022

2021

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On Equivariant and Invariant Learning of Object Landmark Representations

Zezhou Cheng, Jong-Chyi Su, Subhransu Maji

IEEE International Conference on Computer Vision (ICCV), 2021.

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AI for conservation: learning to track birds with radar

Zezhou Cheng, Subhransu Maji, Daniel Sheldon

ACM XRDS 2021

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A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification

Jong-Chyi Su, Zezhou Cheng, Subhransu Maji

Computer Vision and Pattern Recognition (CVPR), 2021, (Oral).

2020 and earlier

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Detecting and Tracking Communal Bird Roosts in Weather Radar Data

Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler

Association for the Advancement of Artificial Intelligence (AAAI), 2020, (Oral)

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A Bayesian Perspective on the Deep Image Prior

Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon

Computer Vision and Pattern Recognition (CVPR), 2019.

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Colorization Using Neural Network Ensemble

Zezhou Cheng, Qingxiong Yang, and Bin Sheng

IEEE Transactions on Image Processing (TIP), 2017.

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Deep Colorization

Zezhou Cheng, Qingxiong Yang, and Bin Sheng

IEEE International Conference on Computer Vision (ICCV), 2015.