📖

Publications

Types

Conference

Journal

Patent

Preprint

According to Google Scholar metrics, Top-tier conferences have larger impacts than most SCI journals. All these conferences are listed in the top 100 publications across all academic fields. Out of them, CVPR is the 4th rank (Nature and Science are the 1st and 3rd ranked) among all fields. Listed papers are international publications. To check domestic publications, please refer to the following page:

Domestic Publications

2024

AAPL: Adding Attributes to Prompt Learning for Vision-Language Models

Gahyeon Kim*, Sohee Kim*, Seokju Lee (* equal contribution)

CVPR Workshop on Prompting in Vision (CVPRw), Jun 2024

[Paper]

MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation

Fei Pan*, Xu Yin*, Seokju Lee, Sungeui Yoon, In So Kweon (* equal contribution)

CVPR Workshop on Learning with Limited Labelled Data for Image and Video Understanding (CVPRw), Jun 2024 Best Paper Award

[Paper]

Exploring Tycho Crater: 3D Reconstruction with Neural Radiance Fields from Sparse Views

Suwan Lee, Seokju Lee

The 55th Lunar and Planetary Science Conference (LPSC), Mar 2024

[Paper]

CLIP Can Understand Depth

Dunam Kim, Seokju Lee

arXiv preprint, Feb 2024

[Paper]

2023

CCTV-Calib: a Toolbox to Calibrate Surveillance Cameras around the Globe

Francois Rameau, Jaesung Choe, Fei Pan, Seokju Lee, In So Kweon

Machine Vision and Applications (MVA), Oct 2023 Impact Factor: 2.98

[Paper] [Code] [Video]

2022

ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation

Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon

European Conference on Computer Vision (ECCV), Oct 2022 Top-tier

[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), Jul 2022 Impact Factor: 7.41

[Paper] [Code]

Self-supervised Depth and Ego-motion Estimation for Monocular Thermal Video using Multi-spectral Consistency Loss

Ukcheol Shin, Kyunghyun Lee, Seokju Lee, In So Kweon

IEEE Robotics and Automation Letters (RA-L), Apr 2022 Impact Factor: 3.74

[Paper] [Project]

2021

Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation

Seokju Lee, Francois Rameau, Fei Pan, In So Kweon

IEEE International Conference on Computer Vision (ICCV), Oct 2021 Top-tier

[Paper]

Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation

Antyanta Bangunharcana, Jae Won Cho, Seokju Lee, In So Kweon, Kyung-Soo Kim, Soohyun Kim

IEEE International Conference on Intelligent Robots and Systems (IROS), Sep 2021

[Paper] [Project] [Code]

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency

Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon

AAAI Conference on Artificial Intelligence (AAAI), Feb 2021 Top-tier

[Paper] [Project] [Code]

Silver Prize, 16th Samsung Electro-Mechanics Best Paper Award

Winner, Qualcomm Innovation Fellowship Korea 2020

ResNet or DenseNet? Introducing Dense Shortcuts to ResNet

Chaoning Zhang, Philipp Benz, Dawit M. Argaw, Seokju Lee, Junsik Kim, Francois Rameau, Jean-Charles Bazin, In So Kweon

IEEE Winter Conference on Applications of Computer Vision (WACV), Jan 2021

[Paper]

2020

Instance-wise Depth and Motion Learning from Monocular Videos

Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon

NeurIPS Workshop on Machine Learning for Autonomous Driving (NeurIPSw), Dec 2020

NeurIPS Workshop on Differentiable Computer Vision, Graphics, and Physics in Machine Learning (NeurIPSw), Dec 2020

[Paper] [Project] [Code]

Honorable Mention, 12th Electronic Times ICT Paper Contest

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision

Fei Pan, Inkyu Shin, Francois Rameau, Seokju Lee, In So Kweon

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2020 Top-tier

[Paper] [Code] [Video]

Oral Presentation

Winner, Qualcomm Innovation Fellowship Korea 2020

2019

Learning Residual Flow as Dynamic Motion from Stereo Videos

Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon

IEEE International Conference on Intelligent Robots and Systems (IROS), Nov 2019

[Paper] [Project] [Video]

Oral Presentation

Visuomotor Understanding for Representation Learning of Driving Scenes

Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon

The British Machine Vision Conference (BMVC), Sep 2019

[Paper] [Supp] [Dataset] [Poster] [Project] [Video]

Revisiting Residual Networks with Nonlinear Shortcuts

Chaoning Zhang, Francois Rameau, Seokju Lee, Junsik Kim, Philipp Benz, Dawit M. Argaw, Jean-Charles Bazin, In So Kweon

The British Machine Vision Conference (BMVC), Sep 2019

[Paper]

Spotlight Presentation

Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images

Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2019 Top-tier

[Paper] [Project]

2018

Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition

Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon

AAAI Conference on Artificial Intelligence (AAAI), Feb 2018 Top-tier

[Paper] [Project]

Best Poster Presentation Award, 30th IPIU 2018

2017

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition

Seokju Lee, Junsik Kim, Jae Shin Yoon, Seunghak Shin, Oleksandr Bailo, Namil Kim, Tae-Hee Lee, Hyun Seok Hong, Seung-Hoon Han, In So Kweon

IEEE International Conference on Computer Vision (ICCV), Oct 2017 Top-tier

[Paper] [Project] [Code] [Poster] [Patent]

Patent in Korea (10-2018-0048407)

Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks

Jae Shin Yoon, Francois Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon

IEEE International Conference on Computer Vision (ICCV), Oct 2017 Top-tier

[Paper] [Project]

Robust Road Marking Detection and Recognition Using Density-Based Grouping and Machine Learning Techniques

Oleksandr Bailo, Seokju Lee, Francois Rameau, Jae Shin Yoon, In So Kweon

IEEE Winter Conference on Applications of Computer Vision (WACV), Mar 2017

[Paper] [Video]

~ 2016

Fast Multiple Objects Detection and Tracking Fusing Color Camera and 3D LIDAR for Intelligent Vehicles

Soonmin Hwang, Namil Kim, Yukyung Choi, Seokju Lee, In So Kweon

IEEE International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), Aug 2016

[Paper] [Project]

Rich Feature Hierarchies from Omni-directional RGB-DI Information for Pedestrian Detection

Seokju Lee, Sungsik Huh, Donggeun Yoo, In So Kweon, David Hyunchul Shim

IEEE International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), Oct 2015

[Paper]

Development of an Exploration Rover Platform for Sample Return Mission

Seokju Lee, Sungsik Huh, Sungyeon Park, David Hyunchul Shim

IEEE International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), Nov 2014

[Paper] [Video]

A Flight Test for Neutralization of Enemy Position Using Intelligent Cooperative System of Heterogeneous Unmanned Vehicle System

Hanjun Song, Seokju Lee, Sungwook Cho, David Hyunchul Shim

The Korean Society for Aeronautical and Space Sciences Spring Conference (KSAS), Apr 2015

[Paper] [IEEE Spectrum]

Development of Robotic Hand System Using Vision-Based Motion Sensor

Seokju Lee, Hanjun Song, David Hyunchul Shim

The 29th Institute of Control, Robotics and Systems Annual Conference (ICROS), May 2014

[Paper] [Project] [Video]

Patents

APPARATUS AND METHOD FOR LEARNING A NEURAL NETWORK

KR 10-2019-0029083

APPARATUS AND METHOD FOR DETECTING A LANE

KR 10-2018-0048407