Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention GeneratorWonhyeok Choi, Mingyu Shin, Hyukzae Lee, Jaehoon Cho, Jaehyeon Park, Sunghoon Im*IEEE International Conference on Robotics and Automation (ICRA), 2024
최원혁 통합과정, 신민규 석사과정, 제 30회 삼성휴먼테크논문대상 Signal Processing 분과 동상 수상.박지훈 통합과정, 김종민, 이경민 석사과정, 이승훈 통합과정 제 30회 삼성휴먼테크논문대상 Signal Processing 분과 장려상 수상. https://www.etnews.com/20240208000021
최원혁 통합과정, 신민규 석사과정, 전자신문 주관 “ICT논문 공모대제전” 우수상 수상
Jungwan Woo will serve as a visiting resercher at Carnegie Mellon University Robotics Institute for a duration of 4 months.
Mingyu Shin will join Naver Labs as a Computer Vision and Deep Learning R&D intern.
A Study on the Generality of Neural Network Structures for Monocular Depth EstimationJinwoo Bae, Kyumin Hwang, Sunghoon ImIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted Article : https://www.etnews.com/20231212000024
우정완, 김정훈, 김재열 박사과정, 최원혁 석박사통합과정, 신민규 석사과정, 국토교통부 주관 “자율주행 인공지능 알고리즘 개발 챌린지 (ADAI: Autonomous Driving A.I. challenge)” 최우수상 수상
Implicit Neural Image Stitching With Enhanced and Blended Feature ReconstructionMinsu Kim, Jaewon Lee, Byeonghun Lee, Sunghoon Im, Kyeonghwan JinIEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 Offline-to-Online Knowledge …
Depth-discriminative Metric Learning for Monocular 3D Object DetectionWonhyeok Choi*, Mingyu Shin*, Sunghoon ImNeural Information Processing Systems (NeurIPS), 2023 Article : https://www.khan.co.kr/local/Daegu/article/202312191052001
Kyungmin Lee and Jeongwon Choi joined our group. Welcome all! They joined our lab as an M.S. course.
