[CVPR 2022] DINO 논문 리뷰
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Hi there!👋 I am a combined MS/Ph.D student affiliated to the Artificial Intelligent Graduate School (AIGS) at UNIST since September 2024. I received my B.S. degree in Statistics from Chonnam National University (CNU). Currently, I’m a member of the UNIST Vision and Learning Lab (UVLL), advised by Prof. Seungryul Baek. My research focuses on 3D hand-object reconstruction, and I’m broadly interested in 3D computer vision and human-object interaction.
jeongwan.on@unist.ac.kr (official)
slalghsrm1@gmail.com (personal)
50 UNIST-gil, Ulju, Ulsan, Republic of Korea
M.S./Ph.D. at Artificial Intelligence Graduate School, UNIST, Ulsan, South Korea.
Sep. 2024 - Current
B.S. at Dept. of Statistics, Chonnam National University, Gwangju, South Korea.
Mar. 2018 - Feb. 2024
1st Place Solution to the 8th HANDS Workshop Challenge - ARCTIC Track: 3DGS-based Bimanual Category-agnostic Interaction Reconstruction
ECCVW 2024 (Oral presentation)
Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects
ECCV 2024
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy
ICASSP 2024
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Stanford University CS231n, Spring 2017, Lecture 9
Stanford University CS231n, Spring 2017, Lecture 7
Stanford University CS231n, Spring 2017, Lecture 6
Stanford University CS231n, Spring 2017, Lecture 5
Stanford University CS231n, Spring 2017, Lecture 4
Stanford University CS231n, Spring 2017, Lecture 3
다양한 방법을 사용하여 Jekyll 빌드 시간 개선