Jin-Hwa Kim
30 papers · 2016–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (72) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Pioneer
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Keyword Champion
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Keyword Pioneer
π
Triple Crown
π€
Dynamic Duo
(11)
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Trend Setter
ποΈ
Keyword Collector
(159)
β‘
Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Deep Learning
(21)
Computer Vision
(19)
Machine Learning
(15)
Artificial Intelligence
(11)
Learning Types Β· Machine Learning
(11)
Learning Types Β· Deep Learning
(11)
Core AI
(10)
Generation
(9)
Analysis
(8)
Models
(7)
Techniques
(7)
Application Areas
(6)
Architectures
(6)
Natural Language Processing
(5)
Optimization & Theory
(5)
Keywords
text-to-image generation
(4)
neural radiance field
(4)
multimodal learning
(3)
generative model
(2)
large language model
(2)
neural network
(2)
camera pose
(2)
diffusion model
(2)
data augmentation
(2)
novel view synthesis
(2)
contrastive learning
(2)
visual question answering
(2)
spurious correlation
(2)
knowledge distillation
(2)
video moment retrieval
(2)
transfer learning
(2)
visual dialog
(2)
self-supervised learning
(1)
semi-supervised learning
(1)
video prediction
(1)
Papers
Correspondence-Attention Alignment for Multi-View Diffusion Models
CVPR 2026
Background-Aware Moment Detection for Video Moment Retrieval
WACV 2025
OCK: Unsupervised Dynamic Video Prediction with Object-Centric Kinematics
ICCV 2025
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
NeurIPS 2024
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
NeurIPS 2024
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting
NeurIPS 2024
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
ICLR 2024
Polyhedral Complex Derivation from Piecewise Trilinear Networks
NeurIPS 2024
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency
ICML 2024
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
ICML 2024
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
EMNLP 2024
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models
ACL 2024
3D-aware Blending with Generative NeRFs
ICCV 2023
Dense Text-to-Image Generation with Attention Modulation
ICCV 2023
Query-Efficient Black-Box Red Teaming via Bayesian Optimization
ACL 2023
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
ICML 2023
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models
ICCV 2023
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
CVPR 2023
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
EMNLP 2022
Logit Mixing Training for More Reliable and Accurate Prediction
IJCAI 2022
Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval
EMNLP 2022
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models
NeurIPS 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
NeurIPS 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
NeurIPS 2022
Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer
EMNLP 2021
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication
ACL 2019
Bilinear Attention Networks
NeurIPS 2018
Multimodal Dual Attention Memory for Video Story Question Answering
ECCV 2018
Overcoming Catastrophic Forgetting by Incremental Moment Matching
NeurIPS 2017
Multimodal Residual Learning for Visual QA
NeurIPS 2016