카이스트 전기및전자공학부는 활발한 컴퓨터비전 및 인공지능 연구 성과로, 이 분야 세계 최고의 학회로 인정받는 CVPR 2019(http://cvpr2019.thecvf.com/)에 총 12편의 논문(주저자 소속 기준)을 게재 및 발표하는 훌륭한 성과를 거두었다. 발표된 논문의 목록은 다음과 같다.
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon
Learning Loss for Active Learning
Donggeun Yoo, In So Kweon
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon
dge-Labeling Graph Neural Network for Few-shot Learning
Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
Progressive Attention Memory Network for Movie Story Question Answering
Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim
Learning Not to Learn: Training Deep Neural Networks with Biased Data
Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim
Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim
Efficient Neural Network Compression
Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung
Variational Information Distillation for Knowledge Transfer
Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D. Lawrence, Zhenwen Dai
