Cross Quality Distillation. - Jong-Chyi Su; Subhransu Maji (CoRR, 2016)

Depth Estimation and Specular Removal for Glossy Surfaces Using Point and Line Consistency with Light-Field Cameras. - Michael W. Tao; Jong-Chyi Su; Ting-Chun Wang; Jitendra Malik; Ravi Ramamoorthi (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Adapting Models to Signal Degradation using Distillation. - Jong-Chyi Su; Subhransu Maji (BMVC, 2017)

Reasoning About Fine-Grained Attribute Phrases Using Reference Games. - Jong-Chyi Su; Chenyun Wu; Huaizu Jiang; Subhransu Maji (ICCV, 2017)

A Deeper Look at 3D Shape Classifiers. - Jong-Chyi Su; Matheus Gadelha; Rui Wang 003; Subhransu Maji (ECCV Workshops (3), 2018)

Active Adversarial Domain Adaptation. - Jong-Chyi Su; Yi-Hsuan Tsai; Kihyuk Sohn; Buyu Liu; Subhransu Maji; Manmohan Chandraker (CVPR Workshops, 2019)

Boosting Supervision with Self-Supervision for Few-shot Learning. - Jong-Chyi Su; Subhransu Maji; Bharath Hariharan (CoRR, 2019)

When Does Self-supervision Improve Few-Shot Learning? - Jong-Chyi Su; Subhransu Maji; Bharath Hariharan (ECCV (7), 2020)

Unsupervised Discovery of Object Landmarks via Contrastive Learning. - Zezhou Cheng; Jong-Chyi Su; Subhransu Maji (CoRR, 2020)

Semi-Supervised Learning with Taxonomic Labels. - Jong-Chyi Su; Subhransu Maji (BMVC, 2021)

A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. - Jong-Chyi Su; Zezhou Cheng; Subhransu Maji (CVPR, 2021)

On Equivariant and Invariant Learning of Object Landmark Representations. - Zezhou Cheng; Jong-Chyi Su; Subhransu Maji (ICCV, 2021)

The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop. - Jong-Chyi Su; Subhransu Maji (CoRR, 2021)

The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop. - Jong-Chyi Su; Subhransu Maji (CoRR, 2021)

Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. - Tsu-Jui Fu; Licheng Yu; Ning Zhang 014; Cheng-Yang Fu; Jong-Chyi Su; William Yang Wang; Sean Bell (CVPR, 2023)

RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. - Sangwoo Mo; Jong-Chyi Su; Chih-Yao Ma; Mido Assran; Ishan Misra; Licheng Yu; Sean Bell (ICLR, 2023)

AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. - Mingfu Liang; Jong-Chyi Su; Samuel Schulter; Sparsh Garg; Shiyu Zhao; Ying Wu 001; Manmohan Chandraker (CVPR, 2024)

Improving the Efficiency-Accuracy Trade-off of DETR-Style Models in Practice. - Yumin Suh; Dongwan Kim; Abhishek Aich; Samuel Schulter; Jong-Chyi Su; Bohyung Han; Manmohan Chandraker (CVPR Workshops, 2024)