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List of Articles
654.
The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing
Dawit Mureja Argaw, Fabian Caba Heilbron, Markus Woodson, Joon-Young Lee, In So Kweon
European Conference on Computer Vision 2022 / 10
653.
DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning
Ukcheol Shin, Kyunghyun Lee, In So Kweon
International Conference on Intelligent Robots and Systems (IROS) 2022 / 06
652.
Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion
Ukcheol Shin, Kyunghyun Lee, Byeong-Uk Lee, In So Kweon
IEEE Robotics and Automation Letters (RA-L) 2022 / 06
651.
Self-supervised Depth and Ego-motion Estimation for Monocular Thermal Video using Multi-spectral Consistency Loss
Ukcheol Shin, Kyunghyun Lee, Seokju Lee, In So Kweon
IEEE Robotics and Automation Letters (RA-L) 2022 / 04
650.
Identification of Vehicle Dynamics Model and Lever-arm for Arbitrarily Mounted Motion Sensor
Yoonjin Hwang, Yongseop Jeong, In So Kweon, Seibum Choi
IEEE Sensors 2021 / 12
649.
Investigating Top-k White-Box and Transferable Black-box Attack
Chaoning Zhang, Philip Benz, Adil Karjauv, JaeWon Cho, Kang Zhang, In So Kweon
Computer Vision and Pattern Recognition, CVPR 2022 / 03
648.
DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning
Youngtaek Oh, Dong-Jin Kim, and In So Kweon
Computer Vision and Pattern Recognition, CVPR 2022 / 03
647.
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Chaoning Zhang*, Kang Zhang,∗, Trung X. Pham,∗, Axi Niu, Zhinan Qiao Chang D. Yoo, In So Kweon
Computer Vision and Pattern Recognition, CVPR 2022 / 03
646.
TubeFormer-DeepLab: Video Mask Transformer
Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim,Hartwig Adam, In So Kweon, Liang-Chieh Chen
Computer Vision and Pattern Recognition, CVPR 2022 / 03
645.
Per-Clip Video Object Segmentation
Kwanyong Park, Sanghyun Woo, Seoung Wug Oh, In So Kweon, Joon-Young Lee
Computer Vision and Pattern Recognition, CVPR 2022 / 03
644.
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
Inkyu Shin, Yi-Hsuan Tsai, Samuel Schulter, Bingbing Zhuang, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon
Computer Vision and Pattern Recognition, CVPR 2022 / 03
643.
Restoration of Video Frames from a Single Blurred Image with Motion Understanding
Dawit Mureja Argaw, Junsik Kim, Francois Rameau, Chaoning Zhang, In So Kweon
Computer Vision and Pattern Recognition Workshop, CVPRW 2022 / 03
642.
Long-term Video Frame Interpolation via Feature Propagation
Dawit Mureja Argaw, In So Kweon
Computer Vision and Pattern Recognition, CVPR 2022 / 03
641.
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation
Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon, Kuk-Jin Yoon
Computer Vision and Pattern Recognition, CVPR 2022 / 03
640.
Adaptive Cost Volume Fusion Network for Multi-Modal Depth Estimation in Changing Environments
Jinsun Park, Yongseop Jeong, Kyungdon Joo, Donghyeon Cho, and In So Kweon
IEEE Robotics and Automation Letters 2022 / 2
639.
MC-Calib: A generic and robust calibration toolbox for multi-camera systems
Francois Rameau, Jinsun Park, Oleksandr Bailo, In So Kweon
Computer Vision and Image Understanding 2022 / 1
638.
Real-Time Multi-Car Localization and See-Through System
Francois Rameau, Oleksandr Bailo, Jinsun Park, Kyungdon Joo, In So Kweon
International Journal of Computer Vision 2022 / 1
637.
MCDAL: Maximum Classifier Discrepancy for Active Learning
Jae Won Cho*, Dong-Jin Kim*, Yunjae Jung, In So Kweon (*Equal Contribution)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2022 / 02
636.
Learning Sound Localization Better from Semantically Similar Samples
Arda Senocak*, Hyeonggon Ryu*, Junsik Kim*, In So Kweon
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022 / 5
635.
PointRecon: Deep Point Cloud Reconstruction
Jaesung Choe*, Byeonin Joung*, Francois Rameau, Jaesik Park, and In So Kweon
International Conference on Learning Representations (ICLR) 2022/04 /
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