CVPR 2019 Oral Session 1-1B: 3D Multiview

Описание к видео CVPR 2019 Oral Session 1-1B: 3D Multiview

0:00 BAD SLAM: Bundle Adjusted Direct RGB-D SLAM Thomas Schöps (ETH Zurich)*; Torsten Sattler (Chalmers University of Technology); Marc Pollefeys (ETH Zurich / Microsoft)

5:03 Revealing Scenes by Inverting Structure from Motion Reconstructions Francesco Pittaluga (University of Florida)*; Sanjeev J Koppal (University of Florida); Sing Bing Kang (Microsoft Research); Sudipta Sinha (Microsoft Research)

10:42 SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences Huu Minh Le (Queensland University of Technology)*; Thanh-Toan Do (The University of Liverpool); Tuan NA Hoang (Singapore University of Technology and Design); Ngai-Man Cheung (Singapore University of Technology and Design)


18:21 Strand-accurate Multi-view Hair Capture Giljoo Nam (KAIST)*; Chenglei Wu (Facebook Reality Labs); Min H. Kim (KAIST); Yaser Sheikh (Facebook Reality Labs)

23:24 DeepSDF: Learning Continuous Signed Distance Functionsfor Shape
Representation Jeong Joon Park (University of Washington)*; Peter R Florence (MIT); Julian Straub (Facebook Reality Labs); Richard Newcombe (Facebook); Steven Lovegrove (Facebook)

28:25 Pushing the Boundaries of View Extrapolation with Multiplane Images Pratul Srinivasan (UC Berkeley)*; Richard Tucker (Google); Jonathan T Barron (Google Research); Ravi Ramamoorthi (University of California San Diego); Ren Ng (UC Berkeley); Noah Snavely (Cornell University and Google AI)

38:01 GA-Net: Guided Aggregation Net for End-to-end Stereo Matching Feihu Zhang (University of Oxford)*; Victor Adrian Prisacariu (University of Oxford); Yang Ruigang (Baidu); Philip Torr (University of Oxford)

43:05 Real-time self-adaptive deep stereo Alessio Tonioni (University of Bologna); Fabio Tosi (University of Bologna); Matteo Poggi (University of Bologna)*; Stefano Mattoccia (University of Bologna); Luigi Di Stefano (University of Bologna)

48:10 LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation Sunok Kim (Yonsei University); Seungryong Kim (Yonsei University); Dongbo Min (Ewha Womans University); Kwanghoon Sohn (Yonsei Univ.)*

56:12 NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences Chen Zhao (Huazhong University of Science and Technology); Zhiguo Cao (Huazhong Univ. of Sci.&Tech.); chi li (Huazhong University of Science and Technology); Xin Li (West Virginia University); Jiaqi Yang (Huazhong Univ. of Sci.&Tech.)*

1:01:17 Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry Matthew Trager (NYU)*; Martial Hebert (Carnegie Mellon University); Jean Ponce (Inria)

1:06:19 Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image Xiaoguang Han (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen))*; Zhaoxuan Zhang (Dalian University of Technology, Shenzhen Research Institute of Big Data); Dong Du (University of Science and Technology of China, Shenzhen Research Institute of Big Data); Mingdai Yang (Chinese University of Hong Kong, Shenzhen); Jingming Yu (Alibaba); Pan Pan (Alibaba Group); Xin Yang (Dalian University of Technology); Ligang Liu (University of Science and Technology of China); Zixiang Xiong (Texas A&M University); Shuguang Cui (The Chinese University of Hong Kong, Shenzhen )

Комментарии

Информация по комментариям в разработке