filmov
tv
CVPR 2019 Oral Session 3-1C: Segmentation & Grouping
Показать описание
0:00 UPSNet: A Unified Panoptic Segmentation Network Yuwen Xiong (Uber ATG; University of Toronto)*; Renjie Liao (University of Toronto); Hengshuang Zhao (The Chinese University of Hong Kong); Rui Hu (Uber); Min Bai (University of Toronto); Ersin Yumer (Uber ATG); Raquel Urtasun (Uber ATG)
5:04 Joint Semantic-Instance Segmentation of 3D Point Clouds Using Multi-Set Label Conditional Random Fields Quang-Hieu Pham (Singapore University of Technology and Design)*; Binh-Son Hua (The University of Tokyo); Thanh Nguyen (Deakin University, Australia); Gemma Roig (MIT); Sai-Kit Yeung (Hong Kong University of Science and Technology)
10:10 Proposal-free instance segmentation with a clustering loss function Davy Neven (KULeuven)*; Bert De Brabandere (KU Leuven); Marc Proesmans (KU Leuven); Luc Van Gool (ETH Zurich)
18:30 Deep Instance Co-segmentation by Co-peak Search and Co-saliency Detection Kuang-Jui Hsu (Academia Sinica)*; Yen-Yu Lin (Academia Sinica); Yung-Yu Chuang (National Taiwan University)
23:38 Improving Semantic Segmentation via Video Propagation and Label Relaxation Yi Zhu (UC Merced); Karan Sapra (NVIDIA)*; Fitsum Reda (NVIDIA); Kevin Shih (NVIDIA); Shawn Newsam (UC Merced); Andrew Tao (NVIDIA); Bryan Catanzaro (NVIDIA)
28:40 Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video Samvit Jain (UC Berkeley)*; Xin Wang (UC Berkeley); Joey Gonzalez (Berkeley)
36:40 Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes Xiaogang Wang (State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beihang University); Kai Xu (National University of Defense Technology)*; Yahao Shi (State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beihang University); Bin Zhou (State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beihang University); Xiaowu Chen (); Qinping Zhao (State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beihang University)
41:45 Semantic Correlation Promoted Shape-Variant Context for Segmentation Henghui Ding (Nanyang Technological University)*; Xudong Jiang (Nanyang Technological University); Bing Shuai (Amazon); Ai Qun Liu (Nanyang Technological University); Gang Wang (Alibaba Group)
46:48 Relation-Shape Convolutional Neural Network for Point Cloud Analysis Yongcheng Liu (Institute of Automation, Chinese Academy of Sciences)*; Bin Fan (Institute of Automation, Chinese Academy of Sciences, China); SHIMING XIANG (Chinese Academy of Sciences, China); Chunhong Pan (Institute of Automation, Chinese Academy of Sciences)
54:54 Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network Wenda Zhao (Dalian University of Technology)*; Bowen Zheng (Dalian University of Technology); Qiuhua Lin (Dalian University of Technology); Huchuan Lu (Dalian University of Technology)
59:41 BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames Brent Griffin (University of Michigan)*; Jason J Corso (University of Michigan)
1:04:45 Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-high Resolution Images Wuyang Chen (Texas A&M University)*; Ziyu Jiang (Texas A&M University); Zhangyang Wang (TAMU); Kexin Cui (Texas A&M University); Xiaoning Qian (Texas A&M University)
1:12:49 Efficient Parameter-free Clustering Using First Neighbor Relations Saquib Sarfraz (Karlsruhe Institute of Technology)*; Vivek Sharma (Karlsruhe Institute of Technology); Rainer Stiefelhagen (Karlsruhe Institute of Technology)
1:17:53 Learning Personalized Modular Network Guided by Structured Knowledge Xiaodan Liang (Sun Yat-sen University)*
1:22:50 A Generative Appearance Model for End-to-end Video Object Segmentation Joakim Johnander (Linköping University)*; Martin Danelljan (ETH Zurich); Emil Brissman (Linköping University); Fahad Shahbaz Khan (Inception Institute of Artificial Intelligence); Michael Felsberg (Linköping University)
5:04 Joint Semantic-Instance Segmentation of 3D Point Clouds Using Multi-Set Label Conditional Random Fields Quang-Hieu Pham (Singapore University of Technology and Design)*; Binh-Son Hua (The University of Tokyo); Thanh Nguyen (Deakin University, Australia); Gemma Roig (MIT); Sai-Kit Yeung (Hong Kong University of Science and Technology)
10:10 Proposal-free instance segmentation with a clustering loss function Davy Neven (KULeuven)*; Bert De Brabandere (KU Leuven); Marc Proesmans (KU Leuven); Luc Van Gool (ETH Zurich)
18:30 Deep Instance Co-segmentation by Co-peak Search and Co-saliency Detection Kuang-Jui Hsu (Academia Sinica)*; Yen-Yu Lin (Academia Sinica); Yung-Yu Chuang (National Taiwan University)
23:38 Improving Semantic Segmentation via Video Propagation and Label Relaxation Yi Zhu (UC Merced); Karan Sapra (NVIDIA)*; Fitsum Reda (NVIDIA); Kevin Shih (NVIDIA); Shawn Newsam (UC Merced); Andrew Tao (NVIDIA); Bryan Catanzaro (NVIDIA)
28:40 Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video Samvit Jain (UC Berkeley)*; Xin Wang (UC Berkeley); Joey Gonzalez (Berkeley)
36:40 Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes Xiaogang Wang (State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beihang University); Kai Xu (National University of Defense Technology)*; Yahao Shi (State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beihang University); Bin Zhou (State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beihang University); Xiaowu Chen (); Qinping Zhao (State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beihang University)
41:45 Semantic Correlation Promoted Shape-Variant Context for Segmentation Henghui Ding (Nanyang Technological University)*; Xudong Jiang (Nanyang Technological University); Bing Shuai (Amazon); Ai Qun Liu (Nanyang Technological University); Gang Wang (Alibaba Group)
46:48 Relation-Shape Convolutional Neural Network for Point Cloud Analysis Yongcheng Liu (Institute of Automation, Chinese Academy of Sciences)*; Bin Fan (Institute of Automation, Chinese Academy of Sciences, China); SHIMING XIANG (Chinese Academy of Sciences, China); Chunhong Pan (Institute of Automation, Chinese Academy of Sciences)
54:54 Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network Wenda Zhao (Dalian University of Technology)*; Bowen Zheng (Dalian University of Technology); Qiuhua Lin (Dalian University of Technology); Huchuan Lu (Dalian University of Technology)
59:41 BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames Brent Griffin (University of Michigan)*; Jason J Corso (University of Michigan)
1:04:45 Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-high Resolution Images Wuyang Chen (Texas A&M University)*; Ziyu Jiang (Texas A&M University); Zhangyang Wang (TAMU); Kexin Cui (Texas A&M University); Xiaoning Qian (Texas A&M University)
1:12:49 Efficient Parameter-free Clustering Using First Neighbor Relations Saquib Sarfraz (Karlsruhe Institute of Technology)*; Vivek Sharma (Karlsruhe Institute of Technology); Rainer Stiefelhagen (Karlsruhe Institute of Technology)
1:17:53 Learning Personalized Modular Network Guided by Structured Knowledge Xiaodan Liang (Sun Yat-sen University)*
1:22:50 A Generative Appearance Model for End-to-end Video Object Segmentation Joakim Johnander (Linköping University)*; Martin Danelljan (ETH Zurich); Emil Brissman (Linköping University); Fahad Shahbaz Khan (Inception Institute of Artificial Intelligence); Michael Felsberg (Linköping University)
1:28:02
CVPR 2019 Oral Session 3-1C: Segmentation & Grouping
1:50:45
CVPR 2019 Oral Session 3-2C: Low-level & Optimization
1:33:42
CVPR 2019 Oral Session 3-1A: Applications
1:22:48
CVPR 2019 Oral Session 2-1C: Motion & Biometrics OLD
1:35:09
CVPR 2019 Oral Session 2-1C: Motion & Biometrics
1:29:40
CVPR 2019 Oral Session 3-1B: Learning, Physics, Theory, & Datasets
1:13:34
CVPR 2019 Oral Session 1-1C: Action & Video
0:07:44
Timeception for Complex Action Recognition - CVPR 2019 - Oral Presentation
1:46:48
CVPR 2019 Oral Session 3-2B: Face & Body
1:48:01
CVPR 2019 Oral Session 3-2A: Deep Learning
1:50:46
CVPR 2019 Oral Session 1-2C: Scenes & Representation
1:49:06
CVPR 2019 Oral Session 1-2A: Recognition
0:28:14
CVPR 2019 Opening Session, Introduction & Awards
1:07:03
CVPR 2019 Oral Session 1-1A: Deep Learning
0:04:47
CVPR 2019 (Oral) The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation
0:05:02
CVPR 2019 LaSO oral presentation. Amit Alfassy
1:47:09
CVPR 2019 Oral Session 1-2B: Synthesis
0:04:56
Large-Scale Long-Tailed Recognition in an Open World (CVPR 2019 Oral)
0:04:56
BubbleNets: CVPR 2019 Oral Presentation (Best Paper Award Finalist!)
1:12:43
CVPR 2019 Oral Session 1-1B: 3D Multiview
0:02:13
CVPR 2019 demo preview
0:10:32
CVPR 2019 - 3 - Joint Discriminative and Generative Learning for Person Re-identification
0:17:06
CVPR 2020 oral paper 'Self-Supervised Scene De-occlusion' (click CC for subtitles)
![[CVPR19] Strand-accurate Multi-view](https://i.ytimg.com/vi/RExALS8qIfo/hqdefault.jpg)
0:02:18
[CVPR19] Strand-accurate Multi-view Hair Capture
Комментарии