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: 16.389), TIP (IF: 12.87) and IJCV (IF: 7.41) have the highest impact factors across all computer science categories.
2022
| 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 [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/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 [Paper] [Source code] Image synthesis/Generalization/Autonomous driving |
| 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 [Paper] Scene understanding/Data hungry |
| 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] 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] |
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] |