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International Conference

Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation

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저 자	Seokju Lee, Francois Rameau, Fei Pan, and In So Kweon
학 회	IEEE International Conference on Computer Vision (ICCV)
논문일시(Year)	2021
논문일시(Month)	10

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Prev Deep Volumetric Depth Fusion for 3D Scene Reconstruction Deep Volumetric Depth Fusion for 3D Scene Reconstruction 2021.07.23by LabOR: Labeling Only if Required for Domain Adaptive Semantic... Next LabOR: Labeling Only if Required for Domain Adaptive Semantic... 2021.07.23by

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List of Articles
626.	Category-Level Metric Scale Object Shape and Pose Estimation Taeyeop Lee, Byeong-Uk Lee, Myungchul Kim, In So Kweon IEEE Robotics and Automation Letters (RA-L) 2021 / 08
625.	Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation Antyanta Bangunharcana, Jae Won Cho, Seokju Lee, In So Kweon, Kyung-Soo Kim, Soohyun Kim International Conference on Intelligent Robots and Systems, IROS, 2021 2021 / 06
624.	Deep Volumetric Depth Fusion for 3D Scene Reconstruction Jaesung Choe, Sunghoon Im, Francois Rameau, Minjun Kang, and In So Kweon IEEE International Conference on Computer Vision (ICCV) 2021 / 10
»	Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation Seokju Lee, Francois Rameau, Fei Pan, and In So Kweon IEEE International Conference on Computer Vision (ICCV) 2021 / 10
622.	LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation Inkyu Shin, Dong-Jin Kim, Jae Won Cho, Sanghyun Woo, Kwanyong Park, and In So Kweon IEEE International Conference on Computer Vision (ICCV) 2021 / 10
621.	MS-UDA:Multi-Spectral Unsupervised Domain Adaptation for Thermal Image Semantic Segmentation Yeong-Hyeon Kim, Ukcheol Shin, Jinsun Park, In So Kweon IEEE Robotics and Automation Letters 2021 / 06
620.	Depth Completion using Plane-Residual Representation Byeong-Uk Lee, Kyunghyun Lee and In So Kweon Computer Vision and Pattern Recognition, CVPR, 2021 2021 / 06
619.	Learning to Associate Every Segment for Video Panoptic Segmentation Sanghyun Woo, Dahun Kim, Joon-Young Lee and In So Kweon Computer Vision and Pattern Recognition, CVPR, 2021 2021 / 06
618.	Volumetric Propagation Network: Stereo-LiDAR Fusion for Long Range Depth Estimation Jaesung Choe, Kyungdon Joo, Imtiaz Tooba, In So Kweon IEEE Robotics and Automation Letters (RA-L) 2021 / 06
617.	Stereo Object Matching Network {Jaesung Choe, Kyungdon Joo}*, Francois Rameau, and In So Kweon IEEE International Conference on Robotics and Automation (ICRA) 2021 / 06
616.	Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective {Chaoning Zhang, Philipp Benz}*, Adil Karjauv, In So Kweon Association for the Advancement of Artificial Intelligence (AAAI) 2021 / 02
615.	Optical Flow Estimation from a Single Motion-blurred Image Dawit Mureja Argaw, Junsik Kim, Francois Rameau, Jae Won Cho, In So Kweon Association for the Advancement of Artificial Intelligence (AAAI) 2021 / 02
614.	Motion-blurred Video Interpolation and Extrapolation Dawit Mureja Argaw, Junsik Kim, Francois Rameau, In So Kweon Association for the Advancement of Artificial Intelligence (AAAI) 2021 / 02
613.	Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon Association for the Advancement of Artificial Intelligence (AAAI) 2021 / 02
612.	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 (*: equal contribution) IEEE Winter Conference on Applications of Computer Vision (WACV) 2021 / 1
611.	High-quality Frame Interpolation via Tridirectional Inference Jinsoo Choi, Jaesik Park, and In So Kweon IEEE Winter Conference on Applications of Computer Vision (WACV) 2021 / 01
610.	Revisiting Batch Normalization for Improving Corruption Robustness Philipp Benz, Chaoning Zhang, Adil Karjauv, and In So Kweon (*: equal contribution) IEEE Winter Conference on Applications of Computer Vision (WACV) 2021 / 01
609.	The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation Myungchul Kim, Sanghyun Woo, Dahun Kim, and In So Kweon IEEE Winter Conference on Applications of Computer Vision (WACV) 2021 / 01
608.	UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging Chaoning Zhang, Philipp Benz, Adil Karjauv, Geng Sun, In-So Kweon (: equal-contribution) NeurIPS, 2020 2020 / 12
607.	Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation KwanYong Park, Sanghyun Woo, Inkyu Shin, In So Kweon NeurIPS, 2020 2020 / 12

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