Donghyun Kim
54 papers · 2008–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (13) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π Academic Marathon (17)
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(12)
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The Questioner
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(10)
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Keyword Collector
(212)
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Century Club
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Conferences
ICCV (10)
AAAI (7)
CVPR (7)
ECCV (6)
NIPS (6)
ACL (3)
EACL (3)
WACV (3)
EMNLP (2)
ICLR (2)
INTERSPEECH (2)
NAACL (2)
CORL (1)
Top co-authors
Research topics
Keywords
large language model
(8)
domain adaptation
(8)
self-supervised learning
(4)
vision language model
(4)
transfer learning
(3)
continual learning
(3)
scene graph generation
(2)
semi-supervised learning
(2)
contrastive learning
(2)
representation learning
(2)
knowledge distillation
(2)
vision transformer
(2)
unsupervised learning
(2)
few-shot learning
(2)
multimodal learning
(2)
embedding learning
(2)
feature alignment
(2)
attention mechanism
(2)
zero-shot learning
(2)
model architecture
(2)
Papers
Universal Compressed Image Restoration via Codec-Aware Conditioning with Reinforcement Learning
AAAI 2026
LLMs as Knowledge Graph Refiners: Mitigating Factual Inconsistencies in Generative Knowledge Extraction
ACL 2026
Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA
EACL 2026
Weakly Supervised Video Scene Graph Generation via Natural Language Supervision
ICLR 2025
ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models
ICCV 2025
CaptionSmiths: Flexibly Controlling Language Pattern in Image Captioning
ICCV 2025
MA-CIR: A Multimodal Arithmetic Benchmark for Composed Image Retrieval
ICCV 2025
Large Language Models as Realistic Microservice Trace Generators
EMNLP 2025
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling
AAAI 2025
Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation
CVPR 2025
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning
AAAI 2025
StitchLLM: Serving LLMs, One Block at a Time
ACL 2025
Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning
WACV 2025
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs
ECCV 2024
Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
NIPS 2024
LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
CVPR 2024
What How and When Should Object Detectors Update in Continually Changing Test Domains?
CVPR 2024
Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval
CVPR 2024
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models
ECCV 2024
Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection
ECCV 2024
MATE: Meet At The Embedding - Connecting Images with Long Texts
EMNLP 2024
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
ICLR 2024
Guided conditioning with predictive network on score-based diffusion model for speech enhancement
INTERSPEECH 2024
Spoken-to-written text conversion with Large Language Model
INTERSPEECH 2024
Grafting Vision Transformers
WACV 2024
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
NIPS 2023
Going Beyond Nouns With Vision & Language Models Using Synthetic Data
ICCV 2023
SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap
ICCV 2023
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation
ICCV 2023
Persona Expansion with Commonsense Knowledge for Diverse and Consistent Response Generation
EACL 2023
Towards Efficient Image Compression Without Autoregressive Models
NIPS 2023
Concept-based Persona Expansion for Improving Diversity of Persona-Grounded Dialogue
EACL 2023
Learning Human Action Recognition Representations Without Real Humans
NIPS 2023
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
CVPR 2023
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning
CVPR 2023
A Unified Framework for Domain Adaptive Pose Estimation
ECCV 2022
A Broad Study of Pre-training for Domain Generalization and Adaptation
ECCV 2022
Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterances
NAACL 2022
Active Learning on Pre-trained Language Model with Task-Independent Triplet Loss
AAAI 2022
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents
AAAI 2022
Learning Cross-Modal Contrastive Features for Video Domain Adaptation
ICCV 2021
CDS: Cross-Domain Self-Supervised Pre-Training
ICCV 2021
Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
ICCV 2021
Learning to Jump from Pixels
CORL 2021
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization
NIPS 2021
MULE: Multimodal Universal Language Embedding
AAAI 2020
Unsupervised Attributed Multiplex Network Embedding
AAAI 2020
Multi-way Encoding for Robustness
WACV 2020
Universal Domain Adaptation through Self Supervision
NIPS 2020
Learning to Scale Multilingual Representations for Vision-Language Tasks
ECCV 2020
Semi-Supervised Domain Adaptation via Minimax Entropy
ICCV 2019
Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues
NAACL 2019
Excitation Backprop for RNNs
CVPR 2018
Speakersβ Intention Prediction Using Statistics of Multi-level Features in a Schedule Management Domain
ACL 2008