Lab announcements, paper acceptances, and activities
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
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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 Minig ( KDD ), 2026
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Our lab has been selected for the Core Research (Type C) Project. Title: Adaptive Policy Learning Technology for Collaborative Robots Understanding Physical Tacit Knowledge Duration: March 1, 2026 – February 28, 2029 (3 Years) Support: National Research Foundation of Korea (NRF)
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Our project has been selected for 2026 Infrastructure Supporting Grants for Young Scientist Program. Through this program, we are planning to purchase Unitree H1‑2 humanoid robot to support our robotics and embodied AI research. Unitree H1-2 robot
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Our project(Chain-of-Thought-based Video Generation Model following Physical Laws) has been selected for the Nvidia Academic Grant, providing access to 24 NVIDIA B200 (three NVIDIA B200 x 8) GPU server. https://www.nvidia.com/ko-kr/data-center/dgx-b200/ NVIDIA B200 GPU
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Minjae Kim , Woosik Kim , Jaehoon Lee , Jiwon Jang joined our group as M.S. course. welcome all!
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Prof.Im will serve as local chair of IEEE VR 2026 https://ieeevr.org/2026/
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Prof. Im will serve as area chiar of ICPR 2026 https://icpr2026.org/
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Our lab recieved NVIDIA academic grant program and will receive high-performance GPU computing resources to support next-generation research in artificial intelligence (AI) and robotics. Research team of Prof. Im will be granted 32,000 A100 GPU-hours (approximately 3.2 × 10⁴ A100 GPU hours) to conduct research on “Physics Law-Compliant Video Generation Models.” https://www.etnews.com/20260106000065
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Our AI-created reinterpretations of Shin Yun-bok’s national treasure Miindo (미인도), rendered in the distinctive styles of Western masters such as Rembrandt, Monet, and Van Gogh, will be on view at the Kansong Art Museum Daegu from February 14 to May 31, 2026. KBS뉴스: https://news.kbs.co.kr/news/pc/view/view.do?ncd=8497536 전자신문: https://www.etnews.com/20260212000017
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(1) 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 (2) 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 (3) 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 (4) FREESTYLE: An Anchor-Free Mechanism for Training-Fre
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Jihun Park , Kyoungmin Lee , Jongmin Gim , Hyeonseo Jo won the Encouragement Prize at 32th Samsung Humantech Paper Awards in the Computer Science and Engineering section.
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Our AI-Created Artworks will be exhibited at DGIST Library Gallery (E8, 1F) for 4 months (2025.11. 24 - 2026.02.23) Article: https://curation.dgist.ac.kr/curation/p/cUuglc1MaUs2MU Artworks are made by Jihun Park , Jongmin Gim , Kyoungmin Lee
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Seunghun Lee starts an internship at LG AI Research for 4 months. (November 2025 - February 2026).
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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
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Infinite-Story: A Training-Free Consistent Text-to-Image Generation Jihun Park*, Kyoungmin Lee*, Jongmin Gim*, Hyeonseo Jo, Minseok Oh, Wonhyeok Choi, Kyumin Hwang, Jaeyeul Kim, Minwoo Choi, Sunghoon Im† The Association for the Advancement of Artificial Intelligence ( AAAI ), 2026
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Jihun Park won the best presentation award in oral session at DGIST EECS & AI Student Conference 2025.
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Jihun Park will start an internship at Baidu for 3 months (December 2025 - February 2026).
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One of our member, Sehyun Hwang , joined Meta now.
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Soyeop Yoo joined our group as a Postdoctoral Researcher. Welcome !
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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 CAVIS: Context-Aware Video Instance Segmentaion Seunghun Lee*, Jiwan Seo*, Kiljoon Han, Minwoo Choi, Sunghoon Im† IEEE International Conference on Computer Vision Workshop ( ICCVw ), 2025 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 Workshop ( ICCVw ), 2025
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문성호 석박사통합과정, 이승훈 박사과정, 전효경 석사과정 Track 1의 TAL&STAL에 참여해서 우승하였습니다. https://grocery-vision.github.io/
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Hao Ni joined our group as a postdoctoral researcher. Welcome !
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Project Title: Research for Transhuman Robotics
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임성훈 교수 한국이공학진흥원(IPESK) 주관 '산학공동연구교수상' 수상 김재열 박사과정 한국이공학진흥원(IPESK) 주관 '차세대 공학연구자' 최우수상 수상 https://ipesk.or.kr/55
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Hyogyeong Jeon joined our group. Hyogyeong Jeon : M.S. course Jongmin Gim , Kyoungmin Lee also re-joined our group as Ph.D. course. Welcome all !
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Sehyun Hwang joined our group as a postdoctoral researcher. Welcome !
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project: Advanced large-scale generative models for Physical AI applications News: https://n.news.naver.com/article/008/0005228982?lfrom=kakao
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Kyumin Hwang serves as a visiting scholar at EECS, University of Michigan for a duration of 5 months (Sep 2025 - Feb 2026).
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CAVIS: Context-Aware Video Instance Segmentaion Seunghun Lee*, Jiwan Seo*, Kiljoon Han, Minwoo Choi, Sunghoon Im† International Conference on Computer Vision ( ICCV ), 2025 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† International Conference on Computer Vision ( ICCV ), 2025 JPEG Processing Neural Operator for Backward-Compatible Coding Woo Kyoung Han, Yongjun Lee, Byeonghun Lee, Sang Hyun Park, Sunghoon Im† , Kyong Hwan Jin† International Conference on Computer Vision ( ICCV ), 2025 Power of Cooperative Supervision: Multiple Teachers Framework for Advanced 3D Semi-Supervised Object Detection Jin-Hee Lee*, Jae-Keun Lee* , Je
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Project title: Human-Centric Symbiotic Embodied AI Systems News: https://www.etnews.com/20250520000037
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Project 1: Trust-Enhanced Mutualistic Bio-Embedded AI Project 2: LLM 2.0: Inference Enhancement, Domain Specialization, Multimodal Expansion, and Trustworthy AI
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Prof.Im has been selected as one of the outstanding reviewers at CVPR25, CVPR24, and one of the Top 10% of high-scoring reviewers at NeurIPS 20.
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https://www.youtube.com/watch?v=hCOVRCjhJHA Youtube https://www.youtube.com/shorts/Kv8mZ0W8SFA Youtube Shorts
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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 Top 3.7% (483 out of 14,008 valid submissions)
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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 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
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Siwon Kim Junwoo Park Gihyun Baek Jinhyung Lee Haeun Yun Hyeonseo Jo Minseok Oh Siwon Kim, Junwoo Park, Gihyun Baek, Jinhyung Lee, Haeun Yun, Hyeonseo Jo and Minseok Oh joined out group. Siwon Kim , Junwoo Park , Gihyun Baek , Jinhyung Lee , Haeun Yun , Hyeonseo Jo : M.S. course Minseok Oh : Combined Undergraduate-Graduate Program Welcome all!
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김재열 박사과정, 우정완 박사과정, 김정훈 박사과정, 임성훈 교수 '제 37회 영상처리 및 이해에 관한 워크샵' 논문 발표 동상 수상
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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
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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
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임성훈 교수 2024년도 DGIST Visionary Award 연구혁신상 수상
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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
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최원혁 통합과정, 황규민 박사과정, 최민우 통합과정 전자신문 주최 '제 16회 ICT 논문 공모대제전' 최우수상 수상 https://www.etnews.com/20241115000184
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임성훈 교수 2024년도 대한전자공학회 인공지능신호처리소사이어티 우수신진연구자상 수상
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최원준 석사과정 소속 팀, 춘천시 주최 및 강원정보문화산업진흥원 주관 "2024 춘천 AWS 딥레이서 챔피언십" 대상 수상 https://www.sportsseoul.com/news/read/1465049
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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
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Seunghun Lee serves as a visiting researcher at Stanford University for a duration of 6 months (Sep 2024 - Feb 2025). Wonhyeok Choi serves as a visiting researcher at Stanford University for a duration of 4 months (Sep 2024 - Dec 2024).
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임성훈 교수 DGIST KFTP 특훈교수로 임명 (2024.09.01.~2027.08.31.)
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Sungmin Ha Jaekeun Lee Seungjun Hyun Sungmin Ha, Jaekeun Lee and Seungjun Hyun joined out group. Sungmin Ha : M.S.-Ph.D. integrated course Jaekeun Lee : Ph.D. course Seungjun Hyun : M.S. course Welcome all!
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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
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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 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
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Prof.Im is selected as one of the outstanding reviewers at CVPR24 and one of the Top 10% of high-scoring reviewers at NeurIPS 20.
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Mingyu Shin placed 2nd in the 4D Occupancy Forecasting of Argoverse Challenge at IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Autonomous Driving ( CVPR 2024 WAD ).
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Jaeyeul Kim and Jungwan Woo placed 1st in the LiDAR Scene Flow of Argoverse Challenge at IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Autonomous Driving ( CVPR 2024 WAD ).
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Mingyu Shin has secured an offer and starts working at Samsung Research. Additionally, Changjae Kim has joined LG Electronics, Jinwoo Bae has joined Hyundai Motor Group, and Hojin Kim has joined SIA (Technical Research Personnel).
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인공지능신호처리 소사이어티 추천으로 대한전자공학회 제 25대 직선평의원으로 선출 (2024.05.20.~2026.05.19.)
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Jungwan Woo serve as a visiting researcher at Carnegie Mellon University Robotics Institute for a duration of 4 months (Jan - May). Jaeyeul Kim serve as a visiting researcher at Carnegie Mellon University Robotics Institute for a duration of 6 months (Apr - Sep).
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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
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Sanggyun Ma Jiwan Seo WonJoon Choi Sanggyun Ma, Jiwan Seo and Wonjoon Choi joined out group. Welcome all! They joined out lab as M.S. course
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최원혁 통합과정, 신민규 석사과정, 제 30회 삼성휴먼테크논문대상 Signal Processing 분과 동상 수상. 박지훈 통합과정, 김종민, 이경민 석사과정, 이승훈 통합과정 제 30회 삼성휴먼테크논문대상 Signal Processing 분과 장려상 수상. https://www.etnews.com/20240208000021
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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
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Mingyu Shin will join Naver Labs as a Computer Vision and Deep Learning R&D intern.
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Jungwan Woo will serve as a visiting resercher at Carnegie Mellon University Robotics Institute for a duration of 4 months.
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최원혁 통합과정, 신민규 석사과정, 전자신문 주관 "ICT논문 공모대제전" 우수상 수상
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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 Article : https://www.etnews.com/20231212000024
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우정완, 김정훈, 김재열 박사과정, 최원혁 석박사통합과정, 신민규 석사과정, 국토교통부 주관 "자율주행 인공지능 알고리즘 개발 챌린지 (ADAI: Autonomous Driving A.I. challenge)" 최우수상 수상
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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 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, 2.6%: 53 out of 2042 submitted papers)
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Depth-discriminative Metric Learning for Monocular 3D Object Detection Wonhyeok Choi *, Mingyu Shin* , Sunghoon Im Neural Information Processing Systems ( NeurIPS ), 2023 Article : https://www.khan.co.kr/local/Daegu/article/202312191052001
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Kyungmin Lee Jeongwon Choi Kyungmin Lee and Jeongwon Choi joined our group. Welcome all! They joined our lab as an M.S. course.
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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
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Motion Forecasting via Coordinate Transformations and Object Trajectory Modifications Jungwan Woo*, Jaeyeul Kim*, Sunghoon Im. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Autonomous Driving ( CVPR 2023 WAD ) (2nd place in the challenge)
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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
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Jongmin Gim Jihun Park Jeonghyun Ahn Kiljoon Han Jongmin Gim, Jihun Park, Jeonghyun Ahn, and Kiljoon Han joined our group. Welcome all! Jihun Park joined our lab as an Integrated M.S./Ph.D. course, and Jongmin Gim, Jeonghyun Ahn, and Kiljoon Han joined our lab as an M.S. course.
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As of March 1st, Prof. Im was promoted to Associate Professor.
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Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies Wonhyeok Choi, Sunghoon Im IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), 2023 Article : https://m.segye.com/view/20231012516730
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Jungwan Woo and Jaeyeul Kim's paper "LiDAR 3D Object Detection Domain Adaptation using Self-Training and Knowledge Distillation" was selected as the winner of an Asian Federation of Computer Vision (AFCV) best robot vision paper award in the 18th Korea Robotics Society Annual Conference (KRoC) held in Pyeongchang, Korea, Feb., 15-18, 2023.
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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
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우정완, 김재열, 김정훈 박사과정, 국토교통부 주관 "안전한 자율주행을 위한 인공지능 알고리즘 개발 챌린지 (ADAI: Autonomous Driving A.I. challenge)" 우수상 수상
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ProFeat: Unsupervised Image Clustering via Progressive Feature Refinement Jeonghoon Kim , Sunghoon Im , Sunghyun Cho Pattern Recognition Letters ( PRL ), 2022
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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
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Changjae Kim will join Qualcomm korea as a computer vision and machine learning R&D intern.
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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
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RVMOS: Range-View Moving Object Segmentation Leveraged by Semantic and Motion Features Jaeyeul Kim*, Jungwan Woo*, Sunghoon Im IEEE Robotics and Automation Letters (RAL), Accepted - This paper will be presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022. * indicates equal contribution.
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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 ), Accepted
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ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation Seunghun Lee , Wonhyeok Choi , Changjae Kim , Minwoo Choi , Sunghoon Im IEEE/CVF Conference on Computer Vision and Pattern Recognition ( CVPR ), 2022 Article : https://www.idaegu.co.kr/news/articleView.html?idxno=386115
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이승훈 통합과정, 최원혁 학부 연구생, 김창재 석사과정, 최민우 학위연계과정, 제 28회 삼성휴먼테크논문대상 Signal Processing 분과 장려상 수상
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배진우 석사과정, 최민우 학위연계과정, 한국 도시 3차원 영상 데이터 인공지능 학습용 데이터 해커톤 우수상 수상
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이승훈 통합과정, 제 13회 ICT논문 공모 대제전 우수상 수상 https://www.etnews.com/20211216000031
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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 ), Accepted
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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
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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
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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 http://www.koit.co.kr/news/articleView.html?idxno=88847
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ProFeat: Unsupervised Image Clustering via Progressive Feature Refinement Jeonghoon Kim , Sunghoon Im , Sunghyun Cho CVPR workshop on Learning From Limited or Imperfect Data ( CVPRw ), 2021
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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 Article : http://www.aitimes.com/news/articleView.html?idxno=139612
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Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency Silver Prize, 16th Samsung Electro-Mechanics Best Paper Awards
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Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency Best paper, Qualcomm Innovation Fellowship Korea 2020
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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
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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
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Sungho Moon Jinhwoi Kim Kyumin Hwang Sungho Moon, Jinhwoi Kim and Kyumin Hwang joined our group. Welcome all! Sungho Moon joined our lab as an Combined BS/MS/PhD course, and Jinhwoi Kim and Kyumin Hwang joined our lab as an MS course.
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Hae-Gon Jeon, Sunghoon Im, Jean Oh, Martial Hebert, “ Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions “ IEEE International Conference on Robotics and Automation ( ICRA ), 2020
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After ICCV Oral Session on Oct. 31 From October 27th to November 2nd, DGIST Computer Vision Lab. members attended the ICCV (International conference on Computer Vision) in Seoul, Korea.
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Sunghoon Im, Hyowon Ha, Hae-Gon Jeon, Stephen Lin, In So Kweon, " Deep Depth from Uncalibrated Small Motion Clip " IEEE Transactions on Pattern Analysis and Machine Intelligence ( TPAMI ) [PDF]
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Hae-Gon Jeon, Jaeheung Surh, Sunghoon Im, In So Kweon , " Ring Difference Filter for Fast and Noise Robust Depth from Focus ", IEEE Transactions Image Processing ( TIP ), Dec 2020 [ PDF ]
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As of September 2nd, Professor Sunghoon Im joined in the Department of Information and Communication Engineering at DGIST. Prof. Sunghoon Im graduated from Sogang University, Dept. of Electronics Engineering in 2014, and received Master and Ph.D. degrees from KAIST, School of Electrical Engineering in 2016 and 2019, respectively. In 2018, he was research intern at Microsoft Research Asia in Beijing, China, and he was visiting scholar at Carnegie Mellon University in Pittsburgh, USA in 2019. His main research area is Computer Vision and he studied various topics related to scene reconstruction such as 3D Geometry, Stereo Matching, and Sensor Fusion. He has published 16 international papers, most of which have been published in TPAMI, TIP, CVPR, ICCV, ECCV, ICLR, ICRA, and IROS, top journals
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Computer Vision Laboratory at DGIST is launched. The Research fields of the CV Lab. are 3D reconstruction/Localization, Scene Understanding, Image/Video Synthesis and Computer Vision for New-type sensor.
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Jeonghoon Kim Seunghoon Lee Jungwan Woo Jeonghoon Kim, Seunghoon Lee and Jungwan Woo joined our group. Welcome all! Jeonghoon Kim and Seunghoon Lee joined our lab as an Combined BS/MS/PhD course, and Jungwan Woo joined our lab as an MS course.
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