Jong-Chyi Su

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Labeled Samples

Manifold Regularization

Supervised Learning

Top Venues

Publications

Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CoRR (2024)
Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. CVPR (2023)
Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. CoRR (2023)
Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. ICLR (2023)
Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. CoRR (2022)
Jong-Chyi Su, Subhransu Maji
The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop. CoRR (2021)
Jong-Chyi Su, Zezhou Cheng, Subhransu Maji
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. CVPR (2021)
Jong-Chyi Su, Subhransu Maji
The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop. CoRR (2021)
Jong-Chyi Su, Subhransu Maji
Semi-Supervised Learning with Taxonomic Labels. CoRR (2021)
Jong-Chyi Su, Zezhou Cheng, Subhransu Maji
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. CoRR (2021)
Jong-Chyi Su, Subhransu Maji
Semi-Supervised Learning with Taxonomic Labels. BMVC (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)
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
Active Adversarial Domain Adaptation. WACV (2020)
Jong-Chyi Su, Subhransu Maji, Bharath Hariharan
When Does Self-supervision Improve Few-Shot Learning? ECCV (7) (2020)
Jong-Chyi Su, Subhransu Maji, Bharath Hariharan
When Does Self-supervision Improve Few-shot Learning? CoRR (2019)
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
Active Adversarial Domain Adaptation. CVPR Workshops (2019)
Jong-Chyi Su, Yi-Hsuan Tsai, Kihyuk Sohn, Buyu Liu, Subhransu Maji, Manmohan Chandraker
Active Adversarial Domain Adaptation. CoRR (2019)
Jong-Chyi Su, Subhransu Maji, Bharath Hariharan
Boosting Supervision with Self-Supervision for Few-shot Learning. CoRR (2019)
Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji
A Deeper Look at 3D Shape Classifiers. ECCV Workshops (3) (2018)
Jong-Chyi Su, Matheus Gadelha, Rui Wang, Subhransu Maji
A Deeper Look at 3D Shape Classifiers. CoRR (2018)
Jong-Chyi Su, Subhransu Maji
Adapting Models to Signal Degradation using Distillation. BMVC (2017)
Jong-Chyi Su, Chenyun Wu, Huaizu Jiang, Subhransu Maji
Reasoning About Fine-Grained Attribute Phrases Using Reference Games. ICCV (2017)
Jong-Chyi Su, Chenyun Wu, Huaizu Jiang, Subhransu Maji
Reasoning about Fine-grained Attribute Phrases using Reference Games. CoRR (2017)
Jong-Chyi Su, Subhransu Maji
Cross Quality Distillation. CoRR (2016)
Michael W. Tao, Jong-Chyi Su, Ting-Chun Wang, Jitendra Malik, Ravi Ramamoorthi
Depth Estimation and Specular Removal for Glossy Surfaces Using Point and Line Consistency with Light-Field Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 38 (6) (2016)