Top-tier conferences: CVPR, ICCV, ECCV, NeurIPS (NIPS), ICML, and ICLR are considered as high prestigious and top-tier conferences, which deem to have larger impacts than most SCI journals. According to Google scholar metrics, all these conferences are listed in the top 100 publications across all academic fields. Out of them, CVPR is the 5th rank (Science and Nature are the 1st and 3rd ranked) among all academic fields, e.g., In terms of acceptance rate, oral presentations are about < 4% and poster presentations about 20%, i.e., highly competitive.
Top-tier journals: IEEE TPAMI (IF: 23.6, Top 0.5%), IJCV (IF:19.5, Top 1.7%) and TIP (IF: 10.6, Top 4.5%) have the highest impact factors across all computer science categories.
* indicates equal contribution.
Arxiv
| TEXTOC: Text-driven Object-Centric Style Transfer Jihun Park*, Jongmin Gim*, Kyoungmin Lee*, Seunghun Lee, Sunghoon Im Arxiv, 2024 - Encouragement Prize, 30th HumanTech Paper Award, Samsung Electronics Co., Ltd. [Paper] Image Editing/Style Transfer |
| Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation Jaeyeul Kim, Jungwan Woo, Ukcheol Shin, Jean Oh, Sunghoon Im Arxiv, 2024 - 1st place, LiDAR Scene Flow of Argoverse Challenge, CVPRw24 [Paper] LiDAR Perception/Scene Flow/Autonomous Driving |
| Context-Aware Video Instance Segmentation Seunghun Lee*, Jiwan Seo*, Kiljoon Han, Minwoo Choi, Sunghoon Im Arxiv, 2024 - 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 [Paper] [Project page] [Source code] Scene Understanding/Video Instance Segmentation |
2024
| 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] Image Editing/Style Transfer |
| 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] [Source code] LiDAR perception/Generalization/Autonomous Driving |
| 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] [Source code] Image Restoration |
| 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/Generalization/Autonomous Driving |
| 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] [Source code] Image Restoration |
| 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] Multi-task Learning/Scene Understanding/Autonomous Driving |
| 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] 3D Reconstruction/Generalization/Autonomous Driving |
| 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] [Source code] Implicit Neural Representation/Feature learning |
| 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] Scene Understanding/Video Instance Segmentation |
2023
| 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] [OpenReview] [Source code] Monocular 3D Object Detection/Metric Learning |
| 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] Domain Adaptation/Semantic Segmentation |
| 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] [Poster] Monocular 3D Object Detection/Generalization |
| 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] Multi-task Learning/Neural Architecture Search/Dynamic Neural Network |
| 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] 3D Reconstruction/Generalization/Autonomous Driving |
2022
| 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 LiDAR perception/Generalization/Autonomous Driving |
| 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] Scene Understanding/Data Hungry |
| 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] [Source code] Image Synthesis/Generalization/Autonomous Driving |
| 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] 3D Reconstruction/DL+Prior Knowledge/AR/VR |
| 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] [Source code] 3D Reconstruction/DL+Prior Knowledge/AR/VR |
| 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] Scene Understanding/LiDAR Perception/Autonomous Driving |
| 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] 3D Reconstruction/Data Hungry/Autonomous Driving |
2021
| 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] Adversarial Attack/Data Hungry |
| 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] 3D Reconstruction/DL+Prior Knowledge/AR/VR |
| 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] 3D Localization/Data Hungry |
| 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] [Source code] Image Synthesis/Generalization/Autonomous Driving |
| 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] [Source code] Scene Understanding/Data Hungry/Autonomous Driving |
| 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] 3D Reconstruction/DL+Prior Knowledge/AR/VR |
2020
| 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] [Source code] |
2019
| 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] [Review] [Source 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] |
~2018
| 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] [Source 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] [Source 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] [Source 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] |