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2020 – today
- 2024
[c20]Gahyeon Kim, Sohee Kim, Seokju Lee:
AAPL: Adding Attributes to Prompt Learning for Vision-Language Models. CVPR Workshops 2024: 1572-1582- [c19]Fei Pan, Xu Yin, Seokju Lee, Axi Niu, Sung-Eui Yoon, In So Kweon:
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation. CVPR Workshops 2024: 2649-2658 - [i18]Dunam Kim, Seokju Lee:
CLIP Can Understand Depth. CoRR abs/2402.03251 (2024) - [i17]Yunji Jung, Seokju Lee, Tair Djanibekov, Hyunjung Shim, Jong Chul Ye:
Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing. CoRR abs/2402.08601 (2024) - [i16]Gahyeon Kim, Sohee Kim, Seokju Lee:
AAPL: Adding Attributes to Prompt Learning for Vision-Language Models. CoRR abs/2404.16804 (2024) - 2023
- [j3]François Rameau, Jaesung Choe, Fei Pan, Seokju Lee, In So Kweon:
CCTV-Calib: a toolbox to calibrate surveillance cameras around the globe. Mach. Vis. Appl. 34(6): 125 (2023) - [i15]Fei Pan, Xu Yin, Seokju Lee, Sung-Eui Yoon, In So Kweon:
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2309.11711 (2023) - 2022
- [j2]Seokju Lee
, François Rameau, Sunghoon Im, In So Kweon:
Self-Supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue. Int. J. Comput. Vis. 130(9): 2265-2285 (2022) - [j1]Ukcheol Shin, Kyunghyun Lee, Seokju Lee, In So Kweon:
Self-Supervised Depth and Ego-Motion Estimation for Monocular Thermal Video Using Multi-Spectral Consistency Loss. IEEE Robotics Autom. Lett. 7(2): 1103-1110 (2022) - [c18]Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon:
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation. ECCV (34) 2022: 236-251 - [c17]Seokju Lee, Seunghun Jeon, Jemin Hwangbo:
Learning Legged Mobile Manipulation Using Reinforcement Learning. RiTA 2022: 310-317 - [i14]Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon:
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation. CoRR abs/2207.09045 (2022) - 2021
- [c16]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. AAAI 2021: 1863-1872 - [c15]Seokju Lee, François Rameau, Fei Pan, In So Kweon:
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation. ICCV 2021: 4842-4851 - [c14]Antyanta Bangunharcana, Jae-Won Cho, Seokju Lee, In So Kweon, Kyung-Soo Kim, Soohyun Kim:
Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation. IROS 2021: 3542-3548 - [c13]Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, François Rameau, Jean-Charles Bazin, In So Kweon:
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. WACV 2021: 3549-3558 - [i13]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. CoRR abs/2102.02629 (2021) - [i12]Ukcheol Shin, Kyunghyun Lee, Seokju Lee, In So Kweon:
Unsupervised Depth and Ego-motion Estimation for Monocular Thermal Video using Multi-spectral Consistency Loss. CoRR abs/2103.00760 (2021) - [i11]Antyanta Bangunharcana, Jae-Won Cho, Seokju Lee, In So Kweon, Kyung-Soo Kim, Soohyun Kim:
Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation. CoRR abs/2108.05773 (2021) - [i10]Seokju Lee, François Rameau, Fei Pan, In So Kweon:
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation. CoRR abs/2110.06853 (2021) - 2020
- [c12]Fei Pan, Inkyu Shin, François Rameau, Seokju Lee, In So Kweon:
Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision. CVPR 2020: 3763-3772 - [i9]Fei Pan, Inkyu Shin, François Rameau, Seokju Lee, In So Kweon:
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision. CoRR abs/2004.07703 (2020) - [i8]Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, François Rameau, Jean-Charles Bazin, In So Kweon:
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. CoRR abs/2010.12496 (2020)
2010 – 2019
- 2019
- [c11]Chaoning Zhang, François Rameau, Seokju Lee, Junsik Kim, Philipp Benz, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon:
Revisiting Residual Networks with Nonlinear Shortcuts. BMVC 2019: 12 - [c10]Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon:
Visuomotor Understanding for Representation Learning of Driving Scenes. BMVC 2019: 262 - [c9]Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon:
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images. CVPR 2019: 9462-9470 - [c8]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Residual Flow as Dynamic Motion from Stereo Videos. IROS 2019: 1180-1186 - [i7]Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon:
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images. CoRR abs/1904.08482 (2019) - [i6]Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon:
Visuomotor Understanding for Representation Learning of Driving Scenes. CoRR abs/1909.06979 (2019) - [i5]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Residual Flow as Dynamic Motion from Stereo Videos. CoRR abs/1909.06999 (2019) - [i4]Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Instance-wise Depth and Motion Learning from Monocular Videos. CoRR abs/1912.09351 (2019) - 2018
- [c7]Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon:
Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition. AAAI 2018: 6975-6982 - 2017
- [c6]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:
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition. ICCV 2017: 1965-1973 - [c5]Jae Shin Yoon, François Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon:
Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks. ICCV 2017: 2186-2195 - [c4]Oleksandr Bailo, Seokju Lee, François Rameau, Jae Shin Yoon, In-So Kweon:
Robust Road Marking Detection and Recognition Using Density-Based Grouping and Machine Learning Techniques. WACV 2017: 760-768 - [i3]Jae Shin Yoon, François Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon:
Pixel-Level Matching for Video Object Segmentation using Convolutional Neural Networks. CoRR abs/1708.05137 (2017) - [i2]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:
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition. CoRR abs/1710.06288 (2017) - [i1]Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon:
Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition. CoRR abs/1712.01907 (2017) - 2016
- [c3]Soonmin Hwang, Namil Kim, Yukyung Choi, Seokju Lee, In-So Kweon:
Fast multiple objects detection and tracking fusing color camera and 3D LIDAR for intelligent vehicles. URAI 2016: 234-239 - 2015
- [c2]Seokju Lee, Sungsik Huh, Donggeun Yoo, In-So Kweon, David Hyunchul Shim:
Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection. URAI 2015: 362-367 - 2014
- [c1]Seokju Lee, Sungsik Huh, Sungyeon Park, David Hyunchul Shim:
Development of an exploration rover platform for sample return mission. URAI 2014: 594-599
Coauthor Index
aka: In So Kweon
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