Seguir
Jong-Chyi Su
Jong-Chyi Su
NEC Laboratories America
Dirección de correo verificada de cs.umass.edu - Página principal
Título
Citado por
Citado por
Año
When Does Self-Supervision Improve Few-shot Learning?
JC Su, S Maji, B Hariharan
European Conference on Computer Vision (ECCV), 2020
160*2020
A Deeper Look at 3D Shape Classifiers
JC Su, M Gadelha, R Wang, S Maji
Second Workshop on 3D Reconstruction Meets Semantics, ECCV 2018, 2018
1072018
Active Adversarial Domain Adaptation
JC Su, YH Tsai, K Sohn, B Liu, S Maji, M Chandraker
IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
912020
Depth Estimation and Specular Removal for Glossy Surfaces Using Point and Line Consistency with Light-Field Cameras
M Tao, JC Su, TC Wang, J Malik, R Ramamoorthi
IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (6), 1155 …, 2016
792016
Adapting Models to Signal Degradation Using Distillation
JC Su, S Maji
British Machine Vision Conference (BMVC), 2017
48*2017
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
JC Su, Z Cheng, S Maji
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
322021
Reasoning about Fine-Grained Attribute Phrases Using Reference Games
JC Su, C Wu, H Jiang, S Maji
Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2017
162017
The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 workshop
JC Su, S Maji
arXiv preprint arXiv:2103.06937, 2021
122021
The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop
JC Su, S Maji
arXiv preprint arXiv:2106.01364, 2021
112021
On equivariant and invariant learning of object landmark representations
Z Cheng, JC Su, S Maji
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
82021
Semi-Supervised Learning with Taxonomic Labels
JC Su, S Maji
British Machine Vision Conference (BMVC), 2021
62021
Unsupervised Discovery of Object Landmarks via Contrastive Learning
Z Cheng, JC Su, S Maji
32020
Human detection in scenes
Y Tsai, K Sohn, B Liu, M Chandraker, J Su
US Patent App. 17/128,565, 2021
12021
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
S Mo, JC Su, CY Ma, M Assran, I Misra, L Yu, S Bell
arXiv preprint arXiv:2302.14483, 2023
2023
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation
TJ Fu, L Yu, N Zhang, CY Fu, JC Su, WY Wang, S Bell
arXiv preprint arXiv:2211.12824, 2022
2022
Segmentation to determine lane markings and road signs
Y Tsai, K Sohn, B Liu, M Chandraker, J Su
US Patent App. 17/128,535, 2021
2021
Construction zone segmentation
Y Tsai, K Sohn, B Liu, M Chandraker, J Su
US Patent App. 17/128,612, 2021
2021
Obstacle detection in road scenes
Y Tsai, K Sohn, B Liu, M Chandraker, J Su
US Patent App. 17/128,492, 2021
2021
Domain adaptation for instance detection and segmentation
YH Tsai, K Sohn, B Liu, M Chandraker, JC Su
US Patent 10,915,792, 2021
2021
Learning from Limited Labeled Data for Visual Recognition
JC Su
UMass Amherst, 2021
2021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20