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.
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.
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.
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.
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.
Yaxin Wang presents her work at the KCGS 2023 conference held between July 12 – 14 in Jeju, South Korea. She proposed a user-controlled layout editing method using neural style transfer.
Heechan Shin gave a presentation concerning his work at RSS 2023 workshop (Experiment-oriented Locomotion and Manipulation Research), which was held in Daegu, South Korea. The paper proposes a quadruped fault-tolerant locomotion using curriculum learning.
On July 3, Jeremy Ong Chun Hooi came to our lab as a visiting student. He is a Ph.D. student at Monash University Malaysia and is interested in automation for pavement crack sealing. Welcome to our lab!
Woo Jae Kim introduced his paper titled “Feature Separation and Recalibration for Adversarial Robustness” at CVPR 2023. Woo Jae’s work was chosen as one of the 235 Highlights papers with an acceptance ratio of 2.6%.
Keep up the good work Woo Jae!
Guoyuan An gave a presentation about his work at CVPR 2023 workshop (FGVC10). The paper proposes an image retrieval method using hypergraph propagation and community selection.
우리 연구실의 석사과정 손우정 군이 6월 18일부터 20일까지 개최된 2023 한국컴퓨터종합학술대회 (KCC)에 투고한 논문이 우수논문상을 수상하였습니다. 축하합니다!
We are delighted to announce that our paper, entitled “Learning-based Initialization of Trajectory Optimization for Path-following Problems of Redundant Manipulators,” has been honored with the prestigious “Outstanding Planning Paper Award” at the IEEE International Conference on Robotics and Automation (ICRA 2023).
These awards recognize the exemplary contributions within each robotics field, as only 15 papers were selected among a competitive pool of 1341 accepted submissions.
We want to express our gratitude to the conference organizers and the entire research community for their support and recognition of our work.
KAIST Research News: https://researchnews.kaist.ac.kr/researchnews/html/news/?mode=V&mng_no=29730&skey=&sval=&list_s_date=&list_e_date=&GotoPage=1
On June 1st, Minsung Yoon presented posters for two robotics papers at ICRA 2023 on behalf of the co-authors. The first paper is titled “Learning-based Initialization of Trajectory Optimization for Path-following Problems of Redundant Manipulators“, and the second paper is titled “Towards Safe Remote Manipulation: User Command Adjustment based on Risk Prediction for Dynamic Obstacles“. Notably, the first paper received the Outstanding Planning Paper Award at ICRA 2023.