Publications

(* Equal Contribution, † Corresponding Authors)

2026

Image-Guided Semantic Pseudo-LiDAR Point Generation for 3D Object Detection

Minseung Lee, Seokha Moon, Seung Joon Lee, Reza Mahjourian, and Jinkyu Kim†,

in WACV 2026

Style-Friendly SNR Sampler for Style-Driven Generation

Jooyoung Choi*, Chaehun Shin*, Jungbeom Lee, and Sungroh Yoon†,

in WACV 2026

Towards Failure-Resilient Lifelong Learning Agents through Scene Graph-Guided Proactive Replanning

Che Rin Yu, Daewon Chae, Dabin Seo, Yoonha Jang, Sangwon Lee, Hyeongwoo Im, and Jinkyu Kim,

in AAMAS 2026

2025

Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP

Junsung Park, Jungbeom Lee, Jongyoon Song, Sangwon Yu, Dahuin Jung†, and Sungroh Yoon†,

in ICCV 2025

Watermarking for Factuality: Guiding Vision-Language Models Toward Truth via Tri-layer Contrastive Decoding

Kyungryul Back, Seongbeom Park, Milim Kim, Mincheol Kwon, SangHyeok Lee, Hyunyoung Lee, Junhee Cho, Seunghyun Park*, and Jinkyu Kim*,

in EMNLP 2025 (Findings)

DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models

Daewon Chae*, June Suk Choi*, Jinkyu Kim†, and Kimin Lee†,

in AAAI 2025

3D Occupancy Prediction with Low-Resolution Queries via Prototype-aware View Transformation

Gyeongrok Oh*, Sungjune Kim*, Heeju Ko, Hyung-gun Chi, Jinkyu Kim, Dongwook Lee, Daehyun Ji, Sungjoon Choi, Sujin Jang†, and Sangpil Kim†,

in CVPR 2025

GUIDE-CoT: Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory using Chain-of-Thought

Sungsik Kim, Seokha Moon, Seongbeom Park, Sunkyu Kim, and Jinkyu Kim,

in AAMAS 2025

Hard-Negative Prototype-Based Regularization for Few-Shot Class-Incremental Learning

Seongbeom Park, Hyunju Yun, Daewon Chae, Sungyoon Kim, Suhong Moon, Minwoo Kang, Seunghyun Park, and Jinkyu Kim,

in TMLR 2025

Encoder-only Next Token Prediction

Ethan Ewer, Daewon Chae, Thomas Zeng, Jinkyu Kim, and Kangwook Lee,

in TMLR 2025

Fast and Precise Multimodal Spatiotemporal Calibration via Periodic-Activated 2D Gaussian Splatting

Hongbeen Park, Minjeong Park, Sunpil Kim, Jinkyu Kim, and Jung Hyun Lee,

in ICCV 2025 (Workshop)

Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead

J. Lee, Y. Yoo, J. Kim, D. Lim, G. Yang, and C. Yoo,

in MICCAI 2025

Fpanet: Frequency-based video demoireing using frame-level post alignment

Gyeongrok Oh, Sungjune Kim, Heon Gu, Sang Ho Yoon, Jinkyu Kim, and Sangpil Kim,

in Neural Networks 2025

2024

Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection

Gyusam Chang, Jiwon Lee, Donghyun Kim, Jinkyu Kim, Dongwook Lee, Daehyun Ji, Sujin Jang, and Sangpil Kim,

in NeurIPS 2024

Toward Interactive Regional Understanding in Vision-Large Language Models

Jungbeom Lee, Sanghyuk Chun, and Sangdoo Yun,

in NAACL 2024

VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions

Seokha Moon, Hyunwoo Woo, Hongbeen Park, Hwanhee Jung, Hyung-gun Chi, Hyerin Lim, Sangpil Kim, and Jinkyu Kim,

in ECCV 2024

Higher-order Relational Reasoning for Pedestrian Trajectory Prediction

Sungjune Kim, Hadam Baek, Seunggwan Lee, Hyung-gun Chi, Hyerin Lim, Jinkyu Kim, and Sangpil Kim,

in CVPR 2024

Audio-guided implicit neural representation for local image stylization

Seung Hyun Lee, Chanyoung Kim, Wonmin Byeon, Sang Ho Yoon, Jinkyu Kim, and Sangpil Kim,

in CVM 2024

Robust sound-guided image manipulation

Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chanyoung Kim, Jinkyu Kim, and Sangpil Kim,

in Neural Networks 2024

CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection

Gyusam Chang, Wonseok Roh, Seokha Moon, Jinkyu Kim, and Sangpil Kim,

in AAAI 2024

InstructBooth: Instruction-following Personalized Text-to-Image Generation

Daewon Chae, Nokyung Park, Jinkyu Kim, and Kimin Lee,

in ICML 2024 (Workshop)

2023

Improving Visual Prompt Tuning for Self-supervised Vision Transformers

Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, and Sungroh Yoon,

in ICML 2023

Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency

Jungbeom Lee, Sungjin Lee, Jinseok Nam, Seunghak Yu, Sanghyuk Chun, and Sangdoo Yun,

in ICCV 2023

CloudNet: A LiDAR-based face anti-spoofing model that is robust against light variation

Yongrae Kim, Hyunmin Gwak, Jaehoon Oh, Minho Kang, Jinkyu Kim, Hyun Kwon, and Sunghwan Kim,

in IEEE Access 2023

An Embedding-Dynamic Approach to Self-Supervised Learning

Suhong Moon, Domas Buracas, Seunghyun Park, Jinkyu Kim, and John F. Canny,

in WACV 2023

2022

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data

Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, and Sungroh Yoon,

in CVPR 2022

Perception Prioritized Training of Diffusion Models

Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, and Sungroh Yoon,

in CVPR 2022

Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization

Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, and Sungroh Yoon,

in CVPR 2022

Ora3d: Overlap region aware multi-view 3d object detection

Wonseok Roh, Gyusam Chang, Seokha Moon, Giljoo Nam, Chanyoung Kim, Younghyun Kim, Jinkyu Kim, and Sangpil Kim,

in BMVC 2022

Stopnet: Scalable trajectory and occupancy prediction for urban autonomous driving

Jinkyu Kim, Reza Mahjourian, Scott M. Ettinger, Mayank Bansal, Brandyn Allen White, Benjamin Sapp, and Dragomir Anguelov,

in ICRA 2022

Occupancy flow fields for motion forecasting in autonomous driving

Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Benjamin Sapp, and Dragomir Anguelov,

in IEEE R&A Letters 2022

2021

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation

Jungbeom Lee, Jooyoung Choi, Jisoo Mok, and Sungroh Yoon,

in NeurIPS 2021

Toward Spatially Unbiased Generative Models

Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, and Sungroh Yoon,

in ICCV 2021

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation

Jungbeom Lee, Jihun Yi, Chaehun Shin, and Sungroh Yoon,

in CVPR 2021

Selfreg: Self-supervised contrastive regularization for domain generalization

Daehee Kim, Youngjun Cho, Kyounghun Lee, and Jinkyu Kim,

in ICCV 2021

2020

Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules

Jinkyu Kim, Suhong Moon, Anna Rohrbach, Trevor Darrell, and John Canny,

in CVPR 2020

2019

Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation

Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, and Sungroh Yoon,

in ICCV 2019

FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference

Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, and Sungroh Yoon,

in CVPR 2019

Grounding Human-to-Vehicle Advice for Self-driving Vehicles

Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, and John Canny,

in CVPR 2019

Msnet: Mutual suppression network for disentangled video representations

Jungbeom Lee, Jangho Lee, Sungmin Lee, and Sungroh Yoon,

in BMVC 2019

2018

Textual Explanations for Self-Driving Vehicles

Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John Canny, and Zeynep Akata,

in ECCV 2018

Deep traffic light detection for self-driving cars from a large-scale dataset

Jinkyu Kim, Hyunggi Cho, Myung Hwangbo, and Paul Youngwook Kwon,

in ITSC 2018

2017