Jong-Chyi Su

Orcid: 0000-0002-7933-8308

According to our database1, Jong-Chyi Su authored at least 18 papers between 2016 and 2024.

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Bibliography

2024
Improving the Efficiency-Accuracy Trade-off of DETR-Style Models in Practice.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop.
CoRR, 2021

The Semi-Supervised iNaturalist-Aves Challenge at FGVC7 Workshop.
CoRR, 2021

On Equivariant and Invariant Learning of Object Landmark Representations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semi-Supervised Learning with Taxonomic Labels.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Unsupervised Discovery of Object Landmarks via Contrastive Learning.
CoRR, 2020

When Does Self-supervision Improve Few-Shot Learning?
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Boosting Supervision with Self-Supervision for Few-shot Learning.
CoRR, 2019

Active Adversarial Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
A Deeper Look at 3D Shape Classifiers.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Reasoning About Fine-Grained Attribute Phrases Using Reference Games.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Adapting Models to Signal Degradation using Distillation.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Depth Estimation and Specular Removal for Glossy Surfaces Using Point and Line Consistency with Light-Field Cameras.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Cross Quality Distillation.
CoRR, 2016


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