Donghyun Kim

Affiliations:
  • MIT-IBM Watson AI Lab
  • Boston University, USA (PhD 2022)


According to our database1, Donghyun Kim authored at least 25 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection.
CoRR, 2023

2022
Learning generalizable and transferable representations across domains and modalities
PhD thesis, 2022

Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation.
CoRR, 2022

Temporal Relevance Analysis for Video Action Models.
CoRR, 2022

A Broad Study of Pre-training for Domain Generalization and Adaptation.
Proceedings of the Computer Vision - ECCV 2022, 2022

A Unified Framework for Domain Adaptive Pose Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data.
CoRR, 2021

OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers.
CoRR, 2021

OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Self-supervised Visual Attribute Learning for Fashion Compatibility.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Cross-Modal Contrastive Features for Video Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CDS: Cross-Domain Self-supervised Pre-training.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Self-supervised Visual Attribute Learning for Fashion Compatibility.
CoRR, 2020

Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels.
CoRR, 2020

Multi-Task Learning from Videos via Efficient Inter-Frame Attention.
CoRR, 2020

Multi-way Encoding for Robustness.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Universal Domain Adaptation through Self Supervision.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Scale Multilingual Representations for Vision-Language Tasks.
Proceedings of the Computer Vision - ECCV 2020, 2020

MULE: Multimodal Universal Language Embedding.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Semi-Supervised Domain Adaptation via Minimax Entropy.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Excitation Backprop for RNNs.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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