Folgen
Zezhou Cheng
Zezhou Cheng
Caltech
Bestätigte E-Mail-Adresse bei cs.umass.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Deep colorization
Z Cheng, Q Yang, B Sheng
ICCV, 415-423, 2015
6972015
A bayesian perspective on the deep image prior
Z Cheng, M Gadelha, S Maji, D Sheldon
CVPR, 5443-5451, 2019
1422019
A realistic evaluation of semi-supervised learning for fine-grained classification
JC Su, Z Cheng, S Maji
CVPR, 2021
522021
Colorization using neural network ensemble
Z Cheng, Q Yang, B Sheng
IEEE Transactions on Image Processing 26 (11), 5491-5505, 2017
422017
Cross-modal 3d shape generation and manipulation
Z Cheng, M Chai, J Ren, HY Lee, K Olszewski, Z Huang, S Maji, ...
ECCV, 303-321, 2022
202022
GANORCON: Are generative models useful for few-shot segmentation?
O Saha, Z Cheng, S Maji
CVPR, 9991-10000, 2022
132022
On equivariant and invariant learning of object landmark representations
Z Cheng, JC Su, S Maji
ICCV, 9897-9906, 2021
132021
Detecting and Tracking Communal Bird Roosts in Weather Radar Data
Z Cheng, S Gabriel, P Bhambhani, D Sheldon, S Maji, A Laughlin, ...
AAAI, 2020
92020
Improving few-shot part segmentation using coarse supervision
O Saha, Z Cheng, S Maji
ECCV, 283-299, 2022
72022
LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs
Z Cheng, C Esteves, V Jampani, A Kar, S Maji, A Makadia
ICCV, 2023
52023
Long‐term analysis of persistence and size of swallow and martin roosts in the US Great Lakes
MCTD Belotti, Y Deng, W Zhao, VF Simons, Z Cheng, G Perez, E Tielens, ...
Remote Sensing in Ecology and Conservation 9 (4), 469-482, 2023
42023
Quantifying long‐term phenological patterns of aerial insectivores roosting in the Great Lakes region using weather surveillance radar
Y Deng, MCTD Belotti, W Zhao, Z Cheng, G Perez, E Tielens, VF Simons, ...
Global Change Biology 29 (5), 1407-1419, 2023
42023
Unsupervised discovery of object landmarks via contrastive learning
Z Cheng, JC Su, S Maji
arXiv preprint arXiv:2006.14787, 2020
42020
ZeoNet: 3D convolutional neural networks for predicting adsorption in nanoporous zeolites
Y Liu, G Perez, Z Cheng, A Sun, SC Hoover, W Fan, S Maji, P Bai
Journal of Materials Chemistry A 11 (33), 17570-17580, 2023
22023
Using spatio-temporal information in weather radar data to detect and track communal bird roosts
G Perez, W Zhao, Z Cheng, MC TD Belotti, Y Deng, VF Simons, E Tielens, ...
bioRxiv, 2022.10. 28.513761, 2022
22022
Image saliency detection based on rectangular-wave spectrum analysis
Y Yang, B Sheng, W Wu, Z Cheng, R Shen
Multimedia Tools and Applications 75, 6173-6187, 2016
22016
A Semi-Automated System to Annotate Communal Roosts in Large-Scale Weather Radar Data
W Zhao, G Perez, Z Cheng, MCTD Belotti, Y Deng, V Simons, EK Tielens, ...
NeurIPS 2023 Computational Sustainability: Promises and Pitfalls from Theory …, 2023
2023
Cross-modal shape and color manipulation
M Chai, S Tulyakov, J Ren, HY Lee, K Olszewski, Z Huang, Z Cheng
US Patent App. 17/814,391, 2023
2023
Developing 3D Convolutional Neural Networks (ZeoNet) for Predicting Adsorption in Nanoporous Zeolites
Y Liu, G Perez, Z Cheng, A Sun, S Hoover, W Fan, S Maji, P Bai
2023 AIChE Annual Meeting, 2023
2023
Accidental Turntables: Learning 3D Pose by Watching Objects Turn
Z Cheng, M Gadelha, S Maji
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
2023
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20