Seokju Lee - RankMe

51 papers A* 7A 7C 1Journal 29Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attention-Based Neural-Augmented Kalman Filter for Legged Robot State Estimation. CoRR Seokju Lee, Kyung-Soo Kim
2026	J	`jnl`	Attention-Based Neural-Augmented Kalman Filter for Legged Robot State Estimation. IEEE Robotics Autom. Lett. Seokju Lee, Kyung-Soo Kim
2026	J	`jnl`	CLIP can understand depth. Pattern Recognit. Sohee Kim, Jisu Kang, Dunam Kim, Seokju Lee
2026	J	`jnl`	Decoupling augmentation bias in prompt learning for vision-language models. Pattern Recognit. Gahyeon Kim, Sohee Kim, Seokju Lee
2025	J	`jnl`	Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models. CoRR Gahyeon Kim, Sohee Kim, Seokju Lee
2025	A	`conf`	Legged Robot State Estimation Using Invariant Neural-Augmented Kalman Filter with a Neural Compensator. IROS Seokju Lee, Hyun-Bin Kim, Kyung-Soo Kim
2025	J	`jnl`	Legged Robot State Estimation Using Invariant Neural-Augmented Kalman Filter with a Neural Compensator. CoRR Seokju Lee, Hyun-Bin Kim, Kyung-Soo Kim
2025	J	`jnl`	Text optimization with latent inversion for non-rigid image editing. Pattern Recognit. Lett. Yunji Jung, Seokju Lee, Tair Djanibekov, Jong Chul Ye, Hyunjung Shim
2024	—	`conf`	AAPL: Adding Attributes to Prompt Learning for Vision-Language Models. CVPR Workshops Gahyeon Kim, Sohee Kim, Seokju Lee
2024	J	`jnl`	AAPL: Adding Attributes to Prompt Learning for Vision-Language Models. CoRR Gahyeon Kim, Sohee Kim, Seokju Lee
2024	J	`jnl`	CLIP Can Understand Depth. CoRR Dunam Kim, Seokju Lee
2024	J	`jnl`	Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing. CoRR Yunji Jung, Seokju Lee, Tair Djanibekov, Hyunjung Shim, Jong Chul Ye
2024	—	`conf`	MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation. CVPR Workshops Fei Pan, Xu Yin, Seokju Lee, Axi Niu, Sung-Eui Yoon, In So Kweon
2023	J	`jnl`	CCTV-Calib: a toolbox to calibrate surveillance cameras around the globe. Mach. Vis. Appl. François Rameau, Jaesung Choe, Fei Pan, Seokju Lee, In So Kweon
2023	J	`jnl`	MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation. CoRR Fei Pan, Xu Yin, Seokju Lee, Sung-Eui Yoon, In So Kweon
2022	—	`conf`	Learning Legged Mobile Manipulation Using Reinforcement Learning. RiTA Seokju Lee, Seunghun Jeon, Jemin Hwangbo
2022	—	`conf`	ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation. ECCV (34) Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon
2022	J	`jnl`	ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation. CoRR Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon
2022	J	`jnl`	Self-Supervised Depth and Ego-Motion Estimation for Monocular Thermal Video Using Multi-Spectral Consistency Loss. IEEE Robotics Autom. Lett. Ukcheol Shin, Kyunghyun Lee, Seokju Lee, In So Kweon
2022	J	`jnl`	Self-Supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue. Int. J. Comput. Vis. Seokju Lee, François Rameau, Sunghoon Im, In So Kweon
2021	A*	`conf`	Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation. ICCV Seokju Lee, François Rameau, Fei Pan, In So Kweon
2021	J	`jnl`	Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation. CoRR Seokju Lee, François Rameau, Fei Pan, In So Kweon
2021	A	`conf`	Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation. IROS Antyanta Bangunharcana, Jae-Won Cho, Seokju Lee, In So Kweon, Kyung-Soo Kim, Soohyun Kim
2021	J	`jnl`	Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation. CoRR Antyanta Bangunharcana, Jae-Won Cho, Seokju Lee, In So Kweon, Kyung-Soo Kim, Soohyun Kim
2021	A*	`conf`	Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. AAAI Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
2021	J	`jnl`	Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. CoRR Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
2021	A	`conf`	ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. WACV Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, François Rameau, Jean-Charles Bazin, In So Kweon
2021	J	`jnl`	Unsupervised Depth and Ego-motion Estimation for Monocular Thermal Video using Multi-spectral Consistency Loss. CoRR Ukcheol Shin, Kyunghyun Lee, Seokju Lee, In So Kweon
2020	J	`jnl`	ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. CoRR Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, François Rameau, Jean-Charles Bazin, In So Kweon
2020	A*	`conf`	Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision. CVPR Fei Pan, Inkyu Shin, François Rameau, Seokju Lee, In So Kweon
2020	J	`jnl`	Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision. CoRR Fei Pan, Inkyu Shin, François Rameau, Seokju Lee, In So Kweon
2019	J	`jnl`	Instance-wise Depth and Motion Learning from Monocular Videos. CoRR Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
2019	A	`conf`	Learning Residual Flow as Dynamic Motion from Stereo Videos. IROS Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
2019	J	`jnl`	Learning Residual Flow as Dynamic Motion from Stereo Videos. CoRR Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon
2019	A	`conf`	Revisiting Residual Networks with Nonlinear Shortcuts. BMVC Chaoning Zhang, François Rameau, Seokju Lee, Junsik Kim, Philipp Benz, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon
2019	A*	`conf`	Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images. CVPR Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon
2019	J	`jnl`	Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images. CoRR Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon
2019	A	`conf`	Visuomotor Understanding for Representation Learning of Driving Scenes. BMVC Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon
2019	J	`jnl`	Visuomotor Understanding for Representation Learning of Driving Scenes. CoRR Seokju Lee, Junsik Kim, Tae-Hyun Oh, Yongseop Jeong, Donggeun Yoo, Stephen Lin, In So Kweon
2018	A*	`conf`	Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition. AAAI Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon
2017	J	`jnl`	Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition. CoRR Junsik Kim, Seokju Lee, Tae-Hyun Oh, In So Kweon
2017	A*	`conf`	Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks. ICCV Jae Shin Yoon, François Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon
2017	J	`jnl`	Pixel-Level Matching for Video Object Segmentation using Convolutional Neural Networks. CoRR Jae Shin Yoon, François Rameau, Junsik Kim, Seokju Lee, Seunghak Shin, In So Kweon
2017	A	`conf`	Robust Road Marking Detection and Recognition Using Density-Based Grouping and Machine Learning Techniques. WACV Oleksandr Bailo, Seokju Lee, François Rameau, Jae Shin Yoon, In-So Kweon
2017	A*	`conf`	VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition. ICCV 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
2017	J	`jnl`	VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition. CoRR 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
2016	—	`conf`	Fast multiple objects detection and tracking fusing color camera and 3D LIDAR for intelligent vehicles. URAI Soonmin Hwang, Namil Kim, Yukyung Choi, Seokju Lee, In-So Kweon
2015	—	`conf`	Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection. URAI Seokju Lee, Sungsik Huh, Donggeun Yoo, In-So Kweon, David Hyunchul Shim
2014	—	`conf`	Development of an exploration rover platform for sample return mission. URAI Seokju Lee, Sungsik Huh, Sungyeon Park, David Hyunchul Shim
2012	C	`conf`	A SNR analysis of the visible light channel environment for visible light communication. APCC Seokju Lee, Sung-Yoon Jung
2012	J	`jnl`	Evaluation of visible light communication channel delay profiles for automotive applications. EURASIP J. Wirel. Commun. Netw. Seokju Lee, Jae Kyun Kwon, Sung-Yoon Jung, Young-hoon Kwon