Jin-Hwa Kim
29 papers · 2016–2025 · 10 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (10) 🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (3)
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Keyword Pioneer
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Renaissance Researcher
(7)
🌍
Conference Polyglot
(10)
🤝
Dynamic Duo
(11)
👑
Triple Crown
🌱
Topic Pioneer
🏆
Keyword Champion
💎
Century Club
(29)
📈
Trend Setter
🚀
Conference Pioneer
⚡
Prolific Year
(6)
🔥
Unstoppable
(5)
🗃️
Keyword Collector
(141)
Conferences
NIPS (10)
EMNLP (4)
ICCV (4)
ACL (3)
ICML (3)
CVPR (1)
ECCV (1)
ICLR (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
text-to-image generation
(4)
multimodal learning
(3)
generative model
(2)
neural network
(2)
contrastive learning
(2)
visual dialog
(2)
spurious correlation
(2)
transfer learning
(2)
video moment retrieval
(2)
large language model
(2)
data augmentation
(2)
visual question answering
(2)
camera pose
(2)
knowledge distillation
(2)
self-supervised learning
(1)
semi-supervised learning
(1)
video prediction
(1)
benchmark evaluation
(1)
graph learning
(1)
scene understanding
(1)
Papers
Background-Aware Moment Detection for Video Moment Retrieval
WACV 2025
OCK: Unsupervised Dynamic Video Prediction with Object-Centric Kinematics
ICCV 2025
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
Polyhedral Complex Derivation from Piecewise Trilinear Networks
NIPS 2024
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
NIPS 2024
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
NIPS 2024
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting
NIPS 2024
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models
ACL 2024
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
EMNLP 2024
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
ICLR 2024
3D-aware Blending with Generative NeRFs
ICCV 2023
Query-Efficient Black-Box Red Teaming via Bayesian Optimization
ACL 2023
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
CVPR 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
Dense Text-to-Image Generation with Attention Modulation
ICCV 2023
SelecMix: Debiased Learning by Contradicting-pair Sampling
NIPS 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
NIPS 2022
Logit Mixing Training for More Reliable and Accurate Prediction
IJCAI 2022
Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval
EMNLP 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
EMNLP 2022
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models
NIPS 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
Multimodal Dual Attention Memory for Video Story Question Answering
ECCV 2018
Bilinear Attention Networks
NIPS 2018
Overcoming Catastrophic Forgetting by Incremental Moment Matching
NIPS 2017
Multimodal Residual Learning for Visual QA
NIPS 2016