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Seokju Lee

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AAPL: Adding Attributes to Prompt Learning for Vision-Language Models

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Apr 25, 2024
Gahyeon Kim, Sohee Kim, Seokju Lee

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Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing

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Feb 14, 2024
Yunji Jung, Seokju Lee, Tair Djanibekov, Hyunjung Shim, Jong Chul Ye

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CLIP Can Understand Depth

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Feb 05, 2024
Dunam Kim, Seokju Lee

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MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation

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Sep 21, 2023
Fei Pan, Xu Yin, Seokju Lee, Sungeui Yoon, In So Kweon

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ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation

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Jul 19, 2022
Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon

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Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation

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Oct 13, 2021
Seokju Lee, Francois Rameau, Fei Pan, In So Kweon

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Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation

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Aug 12, 2021
Antyanta Bangunharcana, Jae Won Cho, Seokju Lee, In So Kweon, Kyung-Soo Kim, Soohyun Kim

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Unsupervised Depth and Ego-motion Estimation for Monocular Thermal Video using Multi-spectral Consistency Loss

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Mar 03, 2021
Ukcheol Shin, Kyunghyun Lee, Seokju Lee, In So Kweon

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Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency

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Feb 04, 2021
Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon

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ResNet or DenseNet? Introducing Dense Shortcuts to ResNet

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Oct 23, 2020
Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, Francois Rameau, Jean-Charles Bazin, In So Kweon

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