1 code implementation • CVPR 2024 • Seunghyun Shin, Jisu Shin, Jihwan Bae, Inwook Shim, Hae-Gon Jeon
However producing BW photography often demands high-end cameras or photographic editing from experts.
no code implementations • 30 May 2023 • Junwon Seo, Sungdae Sim, Inwook Shim
Estimating the traversability of terrain should be reliable and accurate in diverse conditions for autonomous driving in off-road environments.
no code implementations • 21 Nov 2022 • Jihwan Bae, Junwon Seo, Taekyung Kim, Hae-Gon Jeon, Kiho Kwak, Inwook Shim
To mitigate the uncertainty, we introduce a deep metric learning-based method to incorporate unlabeled data with a few positive and negative prototypes in order to leverage the uncertainty, which jointly learns using semantic segmentation and traversability regression.
no code implementations • 14 Sep 2022 • Junwon Seo, Taekyung Kim, Kiho Kwak, Jihong Min, Inwook Shim
By integrating our framework with a model predictive controller, we demonstrate that estimated traversability results in effective navigation that enables distinct maneuvers based on the driving characteristics of the vehicles.
no code implementations • 8 Aug 2022 • Gwangtak Bae, Byungjun Kim, Seongyong Ahn, Jihong Min, Inwook Shim
LiDAR is widely used to capture accurate 3D outdoor scene structures.
no code implementations • ICCV 2021 • Taewon Min, Chonghyuk Song, Eunseok Kim, Inwook Shim
Recent state-of-the-art learning-based approaches to point cloud registration have largely been based on graph neural networks (GNN).
no code implementations • 9 Dec 2020 • Chonghyuk Song, Eunseok Kim, Inwook Shim
Integrating model-based machine learning methods into deep neural architectures allows one to leverage both the expressive power of deep neural nets and the ability of model-based methods to incorporate domain-specific knowledge.
no code implementations • 24 Aug 2017 • Inwook Shim, Tae-Hyun Oh, Joon-Young Lee, Jinwook Choi, Dong-Geol Choi, In So Kweon
We introduce a novel method to automatically adjust camera exposure for image processing and computer vision applications on mobile robot platforms.
no code implementations • 21 Sep 2015 • Inwook Shim, Seunghak Shin, Yunsu Bok, Kyungdon Joo, Dong-Geol Choi, Joon-Young Lee, Jaesik Park, Jun-Ho Oh, In So Kweon
This paper presents a vision system and a depth processing algorithm for DRC-HUBO+, the winner of the DRC finals 2015.