Donghyun Kim

Donghyun Kim

Boston University

H-index: 16

North America-United States

About Donghyun Kim

Donghyun Kim, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at Boston University, specializes in the field of Transfer Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dense and aligned captions (dac) promote compositional reasoning in vl models

Adaptive Self-training Framework for Fine-grained Scene Graph Generation

Grafting Vision Transformers

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

Learning Human Action Recognition Representations Without Real Humans

LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation

Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning

Universal Metric Learning with Parameter-Efficient Transfer Learning

Donghyun Kim Information

University

Position

PhD Student Computer Science

Citations(all)

1666

Citations(since 2020)

1647

Cited By

283

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

19

i10Index(since 2020)

18

Email

University Profile Page

Boston University

Google Scholar

View Google Scholar Profile

Donghyun Kim Skills & Research Interests

Transfer Learning

Top articles of Donghyun Kim

Title

Journal

Author(s)

Publication Date

Dense and aligned captions (dac) promote compositional reasoning in vl models

Advances in Neural Information Processing Systems

Sivan Doveh

Assaf Arbelle

Sivan Harary

Roei Herzig

Donghyun Kim

...

2024/2/13

Adaptive Self-training Framework for Fine-grained Scene Graph Generation

arXiv preprint arXiv:2401.09786

Kibum Kim

Kanghoon Yoon

Yeonjun In

Jinyoung Moon

Donghyun Kim

...

2024/1/18

Grafting Vision Transformers

Jongwoo Park

Kumara Kahatapitiya

Donghyun Kim

Shivchander Sudalairaj

Quanfu Fan

...

2024

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

arXiv preprint arXiv:2402.13449

Zexue He

Leonid Karlinsky

Donghyun Kim

Julian McAuley

Dmitry Krotov

...

2024/2/21

Learning Human Action Recognition Representations Without Real Humans

Advances in Neural Information Processing Systems

Howard Zhong

Samarth Mishra

Donghyun Kim

SouYoung Jin

Rameswar Panda

...

2024/2/13

LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation

arXiv e-prints

Kibum Kim

Kanghoon Yoon

Jaehyeong Jeon

Yeonjun In

Jinyoung Moon

...

2023/10

Coda-prompt: Continual decomposed attention-based prompting for rehearsal-free continual learning

James Seale Smith

Leonid Karlinsky

Vyshnavi Gutta

Paola Cascante-Bonilla

Donghyun Kim

...

2023

Universal Metric Learning with Parameter-Efficient Transfer Learning

arXiv preprint arXiv:2309.08944

Sungyeon Kim

Donghyun Kim

Suha Kwak

2023/9/16

Teaching structured vision & language concepts to vision & language models

Sivan Doveh

Assaf Arbelle

Sivan Harary

Eli Schwartz

Roei Herzig

...

2023

Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection

arXiv preprint arXiv:2303.14744

Kuniaki Saito

Donghyun Kim

Piotr Teterwak

Rogerio Feris

Kate Saenko

2023/3/26

Construct-vl: Data-free continual structured vl concepts learning

James Seale Smith

Paola Cascante-Bonilla

Assaf Arbelle

Donghyun Kim

Rameswar Panda

...

2023

CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation

Kaihong Wang

Donghyun Kim

Rogerio Feris

Margrit Betke

2023

What, How, and When Should Object Detectors Update in Continually Changing Test Domains?

arXiv preprint arXiv:2312.08875

Jayeon Yoo

Dongkwan Lee

Inseop Chung

Donghyun Kim

Nojun Kwak

2023/12/12

Weakly Supervised Fine-grained Scene Graph Generation via Large Language Model

arXiv preprint arXiv:2310.10404

Kibum Kim

Kanghoon Yoon

Jaeyeong Jeon

Yeonjun In

Jinyoung Moon

...

2023/10/16

Going beyond nouns with vision & language models using synthetic data

Paola Cascante-Bonilla

Khaled Shehada

James Seale Smith

Sivan Doveh

Donghyun Kim

...

2023

A broad study of pre-training for domain generalization and adaptation

Donghyun Kim

Kaihong Wang

Stan Sclaroff

Kate Saenko

2022/10/23

VisDA 2022 challenge: Domain adaptation for industrial waste sorting

Dina Bashkirova

Samarth Mishra

Diala Lteif

Piotr Teterwak

Donghyun Kim

...

2022/8/31

Visda-2021 competition: Universal domain adaptation to improve performance on out-of-distribution data

Dina Bashkirova

Dan Hendrycks

Donghyun Kim

Haojin Liao

Samarth Mishra

...

2022/7/20

Temporal Relevance Analysis for Video Action Models

arXiv preprint arXiv:2204.11929

Quanfu Fan

Donghyun Kim

Stan Sclaroff

Kate Saenko

Sarah Adel Bargal

2022/4/25

Exploring consistency in cross-domain transformer for domain adaptive semantic segmentation

arXiv preprint arXiv:2211.14703

Kaihong Wang

Donghyun Kim

Rogerio Feris

Kate Saenko

Margrit Betke

2022/11/27

See List of Professors in Donghyun Kim University(Boston University)

Co-Authors

H-index: 161
Trevor Darrell

Trevor Darrell

University of California, Berkeley

H-index: 89
Gerard Medioni

Gerard Medioni

University of Southern California

H-index: 82
Stan Sclaroff

Stan Sclaroff

Boston University

H-index: 81
Kate Saenko

Kate Saenko

Boston University

H-index: 54
Manmohan Chandraker

Manmohan Chandraker

University of California, San Diego

H-index: 49
Margrit Betke

Margrit Betke

Boston University

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