Donghyun Kim

Orcid: 0000-0002-7132-4454

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


According to our database1, Donghyun Kim authored at least 41 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Too Many Frames, not all Useful: Efficient Strategies for Long-Form Video QA.
CoRR, 2024

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory.
CoRR, 2024

Grafting Vision Transformers.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Adaptive Self-training Framework for Fine-grained Scene Graph Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation.
CoRR, 2023

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

Learning Human Action Recognition Representations Without Real Humans.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Going Beyond Nouns With Vision & Language Models Using Synthetic Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ConStruct-VL: Data-Free Continual Structured VL Concepts Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Teaching Structured Vision&Language Concepts to Vision&Language Models.
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

2017
Deep 3D face identification.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

2016
Expression invariant 3D face modeling from an RGB-D video.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Accurate 3D face modeling and recognition from RGB-D stream in the presence of large pose changes.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016


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