Publications

RobOralScan: Learning Active Intraoral Scanning for Robotic Dental Reconstruction
Jinhyung Lee, Haeun Yun, Siwon Kim, Gihyun Baek, Sungho Moon, Sehyun Hwang, Sunghoon Im^†
arXiv preprint ( arXiv ), 2026
[Paper]

A Training-Free Style-aligned Image Generation with Scale-wise Autoregressive Model
Jihun Park*, Jongmin Gim*, Kyoungmin Lee*, Minseok Oh, Minwoo Choi, Jaeyeul Kim, Woo Chool Park, Sunghoon Im^†
arXiv preprint ( arXiv ), 2026
[Paper]

Temporal Grounding as a Learning Signal for Referring Video Object Segmentation
Seunghun Lee*, Jiwan Seo*, Jeonghoon Kim*, Sungho Moon*, Siwon Kim, Haeun Yun, Hyogyeong Jeon, Wonhyeok Choi, Jaehoon Jeong, Zane Durante, Sang Hyun Park, Sunghoon Im^†
arXiv preprint ( arXiv ), 2026
[Paper]

A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control
Wonhyeok Choi, Shutong Ding, Minwoo Choi, Jungwan Woo, Kyumin Hwang, Jaeyeul Kim, Ye Shi^†, Sunghoon Im^†
arXiv preprint ( arXiv ), 2026
[Paper]

Object-Centric LiDAR-to-Radar Distillation for 3D Object Detection
Sungho Moon*, Jaeyeul Kim*, Wonhyeok Choi, Jihun Park, Ukcheol Shin^†, Sunghoon Im^†
IEEE Signal Processing Letters (SPL), 2026
[Paper]

CRAFT: Constrained Reward via Attention Fine-Tuning for Subject Personalization without Composed Targets
Jihun Park, Kyoungmin Lee, Jongmin Gim, Hyeonseo Jo, Jaeyeul Kim, Han Zou, Zhenpeng Zhan, Yan Zhang^†, Sunghoon Im^†
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2026
[Paper]

ReAL: Reference-to-Image (R2I) Aware Latent Diffusion for Image Super-Resolution
Byeonghun Lee, Hyunmin Cho, Sunghoon Im^†, and Kyong Hwan Jin^†
European Conference on Computer Vision (ECCV), 2026
[Paper]

Mitigating Noisy Correspondence in Video-Text Retrieval via Noise-mined Adaptive Self-Labeling
Jeonghoon Kim^*, Hyeon Kang^*, Jihun Park, Jinhwoi Kim, Jaeyeul Kim, Sunghoon Im^†
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) , 2026
[Paper]

Learning to Forget: Emotional Salience as a Compression Mechanism for Long-Term AI Memory
SoYeop Yoo, Sunghoon Im^†
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026
[Paper]

CascadeOcc: Rethinking 3D Occupancy World Models with Cascaded VQ Representations
Kyumin Hwang*, Wonhyeok Choi*, Jaeyeul Kim, Jihun Park, Daehee Park^†, Sunghoon Im^†
IEEE Signal Processing Letters (SPL), 2026
[Paper]

TaskForce: Cooperative Multi-agent Reinforcement Learning for Multi-task Optimization
Wonhyeok Choi, Kyumin Hwang, Jihun Park, Kyoungmin Lee, Seunghun Lee, Jaeyeul Kim, Minwoo Choi, Sunghoon Im^†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
[Paper]

CVA: Context-aware Video-text Alignment for Video Temporal Grounding
Sungho Moon*, Seunghun Lee*, Jiwan Seo, Sunghoon Im^†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
[Paper]

A Training-Free Style-Personalization via SVD-Based Feature Decomposition
Kyoungmin Lee*, Jihun Park*, Jongmin Gim*, Wonhyeok Choi, Kyumin Hwang, Jaeyeul Kim, Sunghoon Im^†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
[Paper]

FREESTYLE: An Anchor-Free Mechanism for Training-Free Style-Aligned Image Generation
Minseok Oh*, Jihun Park*, Jongmin Gim, Minwoo Choi, Kyoungmin Lee, Ferdinando Fioretto^†, Sunghoon Im^†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026
[Paper]

Linear Recurrent Unit with Semantic Modulation for Image Super-Resolution
Mingyu Choi, Woo Kyoung Han, Sunghoon Im^†, Kyong Hwan Jin^†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026
[Paper]

Scale-invariant and View-relational Representation Learning for Full Surround Monocular Depth
Kyumin Hwang*, Wonhyeok Choi*, Kiljoon Han, Wonjoon Choi, Minwoo Choi, Yongcheon Na, Minwoo Park, Sunghoon Im^†
IEEE Robotics and Automation Letters (RA-L), 2026
[Paper]

Infinite-Story: A Training-Free Consistent Text-to-Image Generation
Jihun Park*, Kyoungmin Lee*, Jongmin Gim*, Hyeonseo Jo, Minseok Oh, Wonhyeok Choi, Kyumin Hwang, Jaeyeol Kim, Minwoo Choi, Sunghoon Im^†
The Association for the Advancement of Artificial Intelligence (AAAI), 2026 (Oral)
[Paper]

Semantic-Enhanced Monocular Depth Estimation via Fusion and Distillation of Foundation Models
Sanggyun Ma*, Wonjoon Choi*, Jihun Park, Jaeyeul Kim, Sunghoon Im^†
IEEE International Conference on Computer Vision Workshop (ICCVw), 2025
[Paper]

CAVIS: Context-Aware Video Instance Segmentation
Seunghun Lee*, Jiwan Seo*, Kiljoon Han, Minwoo Choi, Sunghoon Im^†
IEEE International Conference on Computer Vision (ICCV), 2025
- State-of-the-Art of Video Instance Segmentation on YouTube-VIS val, YouTube-VIS 2021, OVIS val
- State-of-the-Art of Video Panoptic Segmentation on VIPSeg
- Presented at 2nd Human-inspired Computer Vision Workshop
[Paper] [Project Page] [Code]

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation
Seunghun Lee, Jiwan Seo, Minwoo Choi, Kiljoon Han, Jaehoon Jeong, Zane Durante, Ehsan Adeli^†, Sang Hyun Park, Sunghoon Im^†
IEEE International Conference on Computer Vision (ICCV), 2025
- Presented at the 1st workshop on Memory and Vision Workshop
[Paper]

JPEG Processing Neural Operator for Backward-Compatible Coding
Woo Kyoung Han, Yongjun Lee, Byeonghun Lee, Sang Hyun Park, Sunghoon Im^†, Kyong Hwan Jin^†
IEEE International Conference on Computer Vision (ICCV), 2025
[Paper]

Power of Cooperative Supervision: Multiple Teachers Framework for Advanced 3D Semi-Supervised Object Detection
Jin-Hee Lee*, Jae-Keun Lee*, Je-Seok Kim, Soon Kwon
IEEE International Conference on Computer Vision (ICCV), 2025
[Paper]

Style-Editor: Text-driven object-centric style editing
Jihun Park*, Jongmin Gim*, Kyoungmin Lee*, Seunghun Lee, Sunghoon Im^†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 (Highlight, Top 3.7%)
- Encouragement Prize, 30th HumanTech Paper Award, Samsung Electronics Co., Ltd.
[Paper] [Project page]

Towards Lossless Implicit Neural Representation via Bit Plane Decomposition
Woo Kyoung Han, Byeonghun Lee, Hyunmin Cho, Sunghoon Im^†, Kyong Hwan Jin^†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[Paper] [Project page] [Code]

Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation
Jaeyeul Kim, Jungwan Woo, Ukcheol Shin, Jean Oh, Sunghoon Im^†
IEEE Robotics and Automation Letters (RA-L), 2025
This paper will be presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025.
- 1st place, LiDAR Scene Flow of Argoverse Challenge, CVPRw24
[Paper] [Code]

Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
Wonhyeok Choi*, Kyumin Hwang*, Minwoo Choi, Kiljoon Han, Wonjoon Choi, Mingyu Shin, Sunghoon Im^†
The Association for the Advancement of Artificial Intelligence (AAAI), 2025
[Paper]

Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining
Wonhyeok Choi*, Kyumin Hwang*, Wei Peng, Minwoo Choi, Sunghoon Im^†
International Conference on Learning Representations (ICLR), 2025
- The Top Award, 16th ICT Paper Award, Electronic Newspaper
[Paper]

Content-Adaptive Style Transfer: A Training-Free Approach with VQ Autoencoders
Jongmin Gim*, Jihun Park*, Kyoungmin Lee*, Sunghoon Im^†
Asian Conference on Computer Vision (ACCV), 2024
[Paper]

Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains
Jaeyeul Kim*, Jungwan Woo*, Jeonghoon Kim, Sunghoon Im^†
European Conference on Computer Vision (ECCV), 2024
[Paper] [Code]

BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow
EungGu Kang, Byeonghun Lee, Sunghoon Im^†, Kyong Hwan Jin^†
European Conference on Computer Vision (ECCV), 2024
[Paper] [Code]

Density-aware Domain Generalization for LiDAR Semantic Segmentation
Jaeyeul Kim*, Jungwan Woo*, Ukcheol Shin, Jean Oh, Sunghoon Im^†
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
[Paper]
LiDAR perception

JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients
Woo Kyoung Han, Sunghoon Im, Jaedeok Kim, Kyong Hwan Jin^†
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Paper] [Project page] [Code]

Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator
Wonhyeok Choi*, Mingyu Shin*, Hyukzae Lee, Jaehoon Cho, Jaehyeon Park, Sunghoon Im^†
IEEE International Conference on Robotics and Automation (ICRA), 2024
- Excellence Award, 15th ICT Paper Award, Electronic Newspaper
[Paper]

A Study on the Generality of Neural Network Structures for Monocular Depth Estimation
Jinwoo Bae, Kyumin Hwang, Sunghoon Im^†
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted
[Paper]

Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction
Minsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyeonghwan Jin^†
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
[Paper] [Code]

Offline-to-Online Knowledge Distillation for Video Instance Segmentation
Hojin Kim, Seunghun Lee, Hyeon Kang, Sunghoon Im^†
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 (Oral, Top 2.6%)
[Paper]

Depth-discriminative Metric Learning for Monocular 3D Object Detection
Wonhyeok Choi*, Mingyu Shin*, Sunghoon Im^†
Neural Information Processing Systems (NeurIPS), 2023
- Bronze Prize, 30th HumanTech Paper Award, Samsung Electronics Co., Ltd.
[Paper] [Code]

Multi-Target Domain Adaptation with Class-Wise Attribute Transfer in Semantic Segmentation
Changjae Kim, Seunghun Lee, Sunghoon Im^†
The 34th British Machine Vision Conference (BMVC), 2023
[Paper] [Poster]

Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera System
Sungho Moon, Jinwoo Bae, Sunghoon Im^†
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRw), 2023
[Paper]

Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies
Wonhyeok Choi, Sunghoon Im^†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Paper]

Deep Digging into the Generalization of Self-supervised Monocular Depth Estimation
Jinwoo Bae, Sungho Moon, Sunghoon Im^†
Association for the Advancement of Artificial Intelligence (AAAI), 2023
[Paper]

LiDAR 3D Object Detection via Self-Training and Knowledge Distillation
Jungwan Woo*, Jaeyeul Kim*, Sunghoon Im^†
ECCV workshop on 3D Perception for Autonomous Driving (ECCVw), Oct 2022
- Asian Federation of Computer Vision (AFCV) Best Robot Vision Paper Award, 18th Korea Robotics Society Annual Conference (KRoC)
- 3rd place, LiDAR self-supervised learning challenge, ECCVw22

ProFeat: Unsupervised Image Clustering via Progressive Feature Refinement
Jeonghoon Kim, Sunghoon Im, Sunghyun Cho^†
Pattern Recognition Letters (PRL), 2022
CVPR workshop on Learning From Limited or Imperfect Data (CVPRw), 2021
[Paper]

ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation
Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im^†
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
- Encouragement Prize, 28th HumanTech Paper Award, Samsung Electronics Co., Ltd.
[Paper] [Code]

CMSNet: Deep Color and Monochrome Stereo
Hae-Gon Jeon, Sunghoon Im, Jaesung Choe, Minjun Kang, Joon-Young Lee, Martial Hebert
International Journal of Computer Vision (IJCV), Jan 2022
[Paper]

Facial Depth and Normal Estimation using Single Dual-Pixel Camera
Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon and Kuk-Jin Yoon
European Conference on Computer Vision (ECCV), Oct 2022
[Paper] [Code]

RVMOS: Range-View Moving Object Segmentation Leveraged by Semantic and Motion Features
Jaeyeul Kim*, Jungwan Woo*, Sunghoon Im^†
IEEE Robotics and Automation Letters (RAL), 2022
This paper was presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022.
[Paper]

Self-supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue
Seokju Lee, Francois Rameau, Sunghoon Im, In So Kweon
International Journal of Computer Vision (IJCV), 2022
[Paper]

ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack
Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung^†
British Machine Vision Conference (BMVC), 2021
[Paper]

VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction
Jaesung Choe, Sunghoon Im, François Rameau, Minjun Kang, In So Kweon
IEEE International Conference on Computer Vision (ICCV), 2021
[Paper]

A Large-scale Virtual Dataset and Egocentric Localization for Disaster Responses
Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, François Rameau, Dong-Geol Choi, Jean Oh, In So Kweon, and Martial Hebert
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted
[Paper]

DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
Seunghun Lee, Sunghyun Cho, Sunghoon Im^†
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
- Excellence Award, 13rd ICT Paper Award, Electronic Newspaper
[Paper] [Code]

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021
- Best paper, Qualcomm Innovation Fellowship Korea 2020
- Silver Prize, 16th Samsung Electro-Mechanics Best Paper Awards
[Paper] [Project page] [Code]

Deep Depth from Uncalibrated Small Motion Clip
Sunghoon Im, Hyowon Ha, Hae-Gon Jeon, Stephen Lin, In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Apr 2021
- Selected as Outstanding Research Achievement of GIST
[Paper]

Instance-wise Depth and Motion Learning from Monocular Videos
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
Workshop on Machine Learning for Autonomous Driving (NeurIPS), 2020
Workshop on Differentiable computer vision, graphics, and physics in machine learning (NeurIPS), 2020
- Honorable Mention, 12th Electronic Times ICT Paper Contest
[Paper] [Project page]

Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions
Hae-Gon Jeon, Sunghoon Im, Jean Oh, Martial Hebert
IEEE International Conference on Robotics and Automation (ICRA), 2020
[Paper]

Ring Difference Filter for Fast and Noise Robust Depth from Focus
Hae-Gon Jeon, Jaeheung Surh, Sunghoon Im, In So Kweon
IEEE Transactions Image Processing (TIP), Dec 2020
[Paper] [Code]

DISC: A Large-scale Virtual Dataset for Simulating Disaster Scenarios
Hae-Gon Jeon, Sunghoon Im, Byeong-Uk Lee, Dong-Geol Choi, Martial Hebert, In So Kweon
IEEE/RSJ International Conference on Intelligence Robots and Systems (IROS), 2019
[Paper] [Project page]

Learning Residual Flow as Dynamic Motion from Stereo Video
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
IEEE/RSJ International Conference on Intelligence Robots and Systems (IROS), 2019
[Paper] [Project page]

DPSNet: End-to-end Deep Plane Sweep Stereo
Sunghoon Im, Hae-Gon Jeon, Stephen Lin, In So Kweon
International Conference on Learning Representations (ICLR), 2019
[Paper] [Code]

Depth Completion with Deep Geometry and Context Guidance
Byeong-Uk Lee, Hae-Gon Jeon, Sunghoon Im, In So Kweon
IEEE International Conference on Robotics and Automation (ICRA), 2019
[Paper]

Robust Depth Estimation using Auto-Exposure Bracketing
Sunghoon Im, Hae-Gon Jeon, In So Kweon
IEEE Transactions Image Processing (TIP), May 2019
[Paper]

Accurate 3D Reconstruction from Small Motion Clip for Rolling Shutter Cameras
Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Apr 2019
[Paper]

RANUS: RGB and NIR Urban Scene Dataset for Deep Scene Parsing
Gyeongmin Choe, Seong-heum Kim, Sunghoon Im, Joon-Young Lee, Srinivasa Narasimhan, In So Kweon
IEEE Robotics and Automation Letters (RAL), July 2018
[Paper]

Robust Depth Estimation from Auto Bracketed Images
Sunghoon Im, Hae-Gon Jeon, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
- Best Poster Award, Samsung AI Forum 2018
[Paper]

Geometry Guided 3D Propagation for Depth from Small Motion
Seunghak Shin, Sunghoon Im, Inwook Shim, Hae-Gon Jeon, In So Kweon
IEEE Signal Processing Letters (SPL), Dec 2017
[Paper]

Noise Robust Depth from Focus using a Ring Difference Filter
Jaeheung Surh, Hae-Gon Jeon, Yunwon Park, Sunghoon Im, Hyowon Ha, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 (Spotlight)
[Paper] [Project page]

All-around Depth from Small Motion with A Spherical Panoramic Camera
Sunghoon Im, Hyowon Ha, Francois Rameau, Hae-Gon Jeon, Gyeongmin Choe, In So Kweon
European Conference on Computer Vision (ECCV), 2016
- Best Poster Presentation Award, 29th IPIU 2017
[Paper] [Code]

High-quality Depth from Uncalibrated Small Motion Clip
Hyowon Ha, Sunghoon Im, Jaesik Park, Hae-Gon Jeon, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (Oral)
- Qualcomm Innovation Award, Qualcomm-KAIST Innovation Awards 2016
[Paper] [Code]

Stereo Matching with Color and Monochrome Cameras in Low-light Conditions
Hae-Gon Jeon, Joon-Young Lee, Sunghoon Im, Hyowon Ha, In So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
- Silver Prize, 22nd HumanTech Paper Award, Samsung Electronics Co., Ltd.
- Best Poster Presentation Award, 29th IPIU 2017
[Paper]

High Quality Structure from Small Motion for Rolling Shutter Cameras
Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In So Kweon
IEEE International Conference on Computer Vision (ICCV), 2015
- Best Poster Award, IWRCV 2015
[Paper] [Code]

Depth from Accidental Motion using Geometry Prior
Sunghoon Im, Gyeongmin Choe, Hae-Gon Jeon, In So Kweon
IEEE International Conference on Image Processing (ICIP), 2015 (Top 10%)
[Paper]