Alumnus Chiwan Song’s Hyundai Mobis information session

Our laboratory alumnus, Senior Chiwan Song, visited our lab on March 8th and held a Hyundai Mobis information session. We were able to learn about the various activities at Hyundai Mobis and had the opportunity to ask questions about daily company life, which we had been curious about. Thanks to him, it was a very informative session.

Research Impact Award’s 1st recipient: Yoonki Cho

Yoonki Cho has been the first recipient of the Research Impact Award in our lab.

The Research Impact Award honors students whose research has significantly impacted their academic community, as evidenced by the number of citations their papers have garnered.

Yoonki Cho’s paper, “Part-based pseudo label refinement for unsupervised person re-identification (Y Cho, WJ Kim, S Hong, SE Yoon),” was accepted for the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022. Also, it has been cited 120 times as of March 6, 2024. This indicates that the research has made a significant impact and contributed greatly to the field.

Congratulations to Yoonki!

KRoC 2024 Conference

Our lab members, Jeil and Taeguen, presented posters at the KRoC 2024 conference hosted by the Korean Robotics Society from February 21st to 24th, 2024. Jeil presented on the research topic of “Reinforcement Learning Based Quadrupedal Robot Controller for Adaptive Motion Generation”. Taeguen presented on the topic of “Manipulator-Assisted Navigation Among Movable Obstacles using Learned Robot-Obstacle Kinodynamics Model”.

Woo Jae Kim received the Qualcomm Innovation Fellowship

Woojae Kim, a PhD students in our lab, was chosen as the winner of Qualcomm innovation fellowship Korea 2023. His finalist paper titled “Feature separation and Recalibaration for Adversarial Robustness” was selected as an highlight paper for CVPR 2023, and this achievement once again proves his excellence. Congraturations!

계롱산 국립공원 수통골 산책

10월 27일에 계룡산 국립공원 수통골 방문하여 산책하고, 맛있는 점심식사를 하며 즐거운 시간을 보냈습니다. 오랜만에 가벼운 등산을 하며 맑은 공기를 마셨고, 연구실 사람들과 함께 이야기를 나누며 걷다보니 더욱 힐링되는 시간이 되었습니다. 맛있는 점심과 티타임을 즐기며, 친목도 더욱 돈독해졌습니다!

Guoyuan Presents Poster at ICCV 2023

At the ICCV2023 conference, Guoyuan An presented his paper, “Towards Content-based Pixel Retrieval in Revisited Oxford and Paris.” This research introduced the innovative concept of pixel retrieval, along with associated benchmark datasets.

Towards Content-based Pixel Retrieval in Revisited Oxford and Paris
Guoyuan An, Woo Jae Kim, Saelyne Yang, Rong Li, Yuchi Huo, and SungEui Yoon
TopInternational Conference on Computer Vision (ICCV), 2023

Xu Presents Workshop Poster at ICCV 2023

Xu Yin gave a presentation about his work at the ICCV2023 workshop (VIPriors). The paper is related to his journal paper titled “Contour-Aware Equipotential Learning for Semantic Segmentation“, published in TMM2022.

Contour-Aware Equipotential Learning for Semantic Segmentation
Xu Yin, Dongbo Min, Yuchi Huo, and Sung-Eui Yoon
IEEE Transactions on Multimedia (TMM), 2022

ICCV 2023 Conference

Prof. Yoon and his Ph.D. students — Jaeyoon Kim, Guoyuan An, and Xu Yin — attended the ICCV2023 conference, held in Paris, France from Oct. 2nd to 6th. At the conference, we had the pleasure of reconnecting with Yuchi Huo, an assistant professor at Zhejiang University and a former post-doctoral researcher at our lab.

Pictured, from left to right: Prof. Yoon, Prof. Huo, Xu Yin, Guoyuan An, Jaeyoon Kim

Prof. Yoon’s Oral Presentation at KCCV2023

Our professor, Sung-Eui Yoon, gave an oral presentation at the KCCV2023 conference held between Aug 7 and 9 in Seoul, Korea. In this talk, he introduced “Feature Separation and Recalibration for Adversarial Robustness” which was chosen as a highlight paper (acceptance ratio: 2.6%) at CVPR2023.

Feature Separation and Recalibration for Adversarial Robustness
Woo Jae Kim, Yoonki Cho, Junsik Jung, and Sung-Eui Yoon
TopIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Highlights paper
arXiv GitHub Slides Poster

2023 KAIST Annual R&D Report

Our paper titled “Confidence-Based Robot Navigation Under Sensor Occlusion with Deep Reinforcement Learning” was selected as one of the KAIST’s Research Highlights on the 2023 KAIST Annual R&D Report. This paper proposed a novel RL-based navigation method under sensor occlusion.

Confidence-Based Robot Navigation Under Sensor Occlusion with Deep Reinforcement Learning
Hyeongyeol Ryu, Minsung Yoon, Daehyung Park, and Sung-Eui Yoon
TopIEEE International Conference on Robotics and Automation (ICRA), 2022
Outstanding navigation paper finalist
Code (zip)