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Zezhou Cheng
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2020 – today
- 2024
- [c11]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: 8403-8419 - [i11]Jin Yao, Eli Chien, Minxin Du
, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue:
Machine Unlearning of Pre-trained Large Language Models. CoRR abs/2402.15159 (2024) - 2023
- [c10]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: 18266-18275 - [c9]Zezhou Cheng, Matheus Gadelha, Subhransu Maji:
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. ICCV (Workshops) 2023: 2105-2114 - [i10]Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia:
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. CoRR abs/2306.05410 (2023) - 2022
- [c8]Oindrila Saha, Zezhou Cheng, Subhransu Maji:
GANORCON: Are Generative Models Useful for Few-shot Segmentation? CVPR 2022: 9981-9990 - [c7]Oindrila Saha, Zezhou Cheng, Subhransu Maji:
Improving Few-Shot Part Segmentation Using Coarse Supervision. ECCV (30) 2022: 283-299 - [c6]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: 303-321 - [i9]Oindrila Saha, Zezhou Cheng, Subhransu Maji:
Improving Few-Shot Part Segmentation using Coarse Supervision. CoRR abs/2204.05393 (2022) - [i8]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 abs/2207.11795 (2022) - [i7]Zezhou Cheng, Matheus Gadelha, Subhransu Maji:
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. CoRR abs/2212.06300 (2022) - 2021
- [j3]Zezhou Cheng, Subhransu Maji, Daniel Sheldon:
AI for conservation: learning to track birds with radar. XRDS 27(4): 26-29 (2021) - [c5]Jong-Chyi Su, Zezhou Cheng, Subhransu Maji:
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. CVPR 2021: 12966-12975 - [c4]Zezhou Cheng, Jong-Chyi Su, Subhransu Maji:
On Equivariant and Invariant Learning of Object Landmark Representations. ICCV 2021: 9877-9886 - [i6]Jong-Chyi Su, Zezhou Cheng, Subhransu Maji:
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. CoRR abs/2104.00679 (2021) - [i5]Oindrila Saha, Zezhou Cheng, Subhransu Maji:
GANORCON: Are Generative Models Useful for Few-shot Segmentation? CoRR abs/2112.00854 (2021) - 2020
- [c3]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: 378-385 - [i4]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 abs/2004.12819 (2020) - [i3]Zezhou Cheng, Jong-Chyi Su, Subhransu Maji:
Unsupervised Discovery of Object Landmarks via Contrastive Learning. CoRR abs/2006.14787 (2020)
2010 – 2019
- 2019
- [c2]Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon:
A Bayesian Perspective on the Deep Image Prior. CVPR 2019: 5443-5451 - [i2]Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon:
A Bayesian Perspective on the Deep Image Prior. CoRR abs/1904.07457 (2019) - 2017
- [j2]Zezhou Cheng, Qingxiong Yang
, Bin Sheng
:
Colorization Using Neural Network Ensemble. IEEE Trans. Image Process. 26(11): 5491-5505 (2017) - 2016
- [j1]Yi Yang, Bin Sheng, Wen Wu, Zezhou Cheng, Ruimin Shen:
Image saliency detection based on rectangular-wave spectrum analysis. Multim. Tools Appl. 75(11): 6173-6187 (2016) - [i1]Zezhou Cheng, Qingxiong Yang, Bin Sheng:
Deep Colorization. CoRR abs/1605.00075 (2016) - 2015
- [c1]Zezhou Cheng, Qingxiong Yang, Bin Sheng:
Deep Colorization. ICCV 2015: 415-423
Coauthor Index
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last updated on 2024-08-25 20:08 CEST by the dblp team
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