Lee, Seokju

10 publications

CVPRW 2024 AAPL: Adding Attributes to Prompt Learning for Vision-Language Models Gahyeon Kim, Sohee Kim, Seokju Lee

CVPRW 2024 MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation Fei Pan, Xu Yin, Seokju Lee, Axi Niu, Sung-Eui Yoon, In So Kweon

ECCV 2022 ML-BPM: Multi-Teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon

ICCV 2021 Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation Seokju Lee, Francois Rameau, Fei Pan, In So Kweon

AAAI 2021 Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon

WACV 2021 ResNet or DenseNet? Introducing Dense Shortcuts to ResNet Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, Francois Rameau, Jean-Charles Bazin, In So Kweon

AAAI 2018 Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon

ICCV 2017 Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks Jae Shin Yoon, Francois Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon

WACV 2017 Robust Road Marking Detection and Recognition Using Density-Based Grouping and Machine Learning Techniques Oleksandr Bailo, Seokju Lee, François Rameau, Jae Shin Yoon, In-So Kweon

ICCV 2017 VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition Seokju Lee, Junsik Kim, Jae Shin Yoon, Seunghak Shin, Oleksandr Bailo, Namil Kim, Tae-Hee Lee, Hyun Seok Hong, Seung-Hoon Han, In So Kweon