no code implementations • 2 Apr 2024 • Kyunghyun Lee, Ukcheol Shin, Byeong-Uk Lee
Adjusting camera exposure in arbitrary lighting conditions is the first step to ensure the functionality of computer vision applications.
no code implementations • 29 Mar 2024 • Byeongin Joung, Byeong-Uk Lee, Jaesung Choe, Ukcheol Shin, Minjun Kang, Taeyeop Lee, In So Kweon, Kuk-Jin Yoon
This paper proposes an algorithm for synthesizing novel views under few-shot setup.
1 code implementation • 30 Mar 2023 • Ukcheol Shin, Kyunghyun Lee, In So Kweon, Jean Oh
Also, the proposed self-distillation loss encourages the network to extract complementary and meaningful representations from a single modality or complementary masked modalities.
Ranked #2 on Thermal Image Segmentation on MFN Dataset
1 code implementation • CVPR 2023 • Ukcheol Shin, Jinsun Park, In So Kweon
Secondly, we conduct an exhaustive validation process of monocular and stereo depth estimation algorithms designed on visible spectrum bands to benchmark their performance in the thermal image domain.
no code implementations • 7 Jul 2022 • Ukcheol Shin, Kyunghyun Lee, In So Kweon
In this paper, we propose a multi-objective camera ISP framework that utilizes Deep Reinforcement Learning (DRL) and camera ISP toolbox that consist of network-based and conventional ISP tools.
1 code implementation • 12 Jan 2022 • Ukcheol Shin, Kyunghyun Lee, Byeong-Uk Lee, In So Kweon
Based on the analysis, we propose an effective thermal image mapping method that significantly increases image information, such as overall structure, contrast, and details, while preserving temporal consistency.
no code implementations • CVPR 2022 • Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon, Kuk-Jin Yoon
Inspired by recent multi-modal UDA techniques, the proposed method exploits a teacher-student self-supervised learning scheme to train a pose estimation network without using target domain pose labels.
Ranked #5 on 6D Pose Estimation using RGBD on REAL275
2 code implementations • 1 Mar 2021 • Ukcheol Shin, Kyunghyun Lee, Seokju Lee, In So Kweon
Based on the proposed module, the photometric consistency loss can provide complementary self-supervision to networks.
1 code implementation • NeurIPS 2020 • Kyunghyun Lee, Byeong-Uk Lee, Ukcheol Shin, In So Kweon
Deep reinforcement learning (DRL) algorithms and evolution strategies (ES) have been applied to various tasks, showing excellent performances.
1 code implementation • 11 Jul 2019 • Ukcheol Shin, Jinsun Park, Gyumin Shim, Francois Rameau, In So Kweon
In this paper, we propose a noise-aware exposure control algorithm for robust robot vision.