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.

2024

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]
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]
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]
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
[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]
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
[Paper] [OpenReview]
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
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]
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
[Paper]
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
[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]
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 will be 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
[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]
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]