ICCV19: Oral Session 4.2A - Segmentation, Detection, 3D Scene Understanding

ICCV 2019

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Link to indexed video: https://conftube.com/video/2ntDYowHbZs 1. YOLACT: Real-Time Instance Segmentation Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee https://conftube.com/video/2ntDYowHbZs?tocitem=2 2. Expectation-Maximization Attention Networks for Semantic Segmentation Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu https://conftube.com/video/2ntDYowHbZs?tocitem=10 3. Multi-Class Part Parsing With Joint Boundary-Semantic Awareness Yifan Zhao, Jia Li, Yu Zhang, Yonghong Tian https://conftube.com/video/2ntDYowHbZs?tocitem=15 4. Explaining Neural Networks Semantically and Quantitatively Runjin Chen, Hao Chen, Jie Ren, Ge Huang, Quanshi Zhang https://conftube.com/video/2ntDYowHbZs?tocitem=24 5. PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment Kaixin Wang, Jun Hao Liew, Yingtian Zou, Daquan Zhou, Jiashi Feng https://conftube.com/video/2ntDYowHbZs?tocitem=28 6. ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin https://conftube.com/video/2ntDYowHbZs?tocitem=36 7. Sequence Level Semantics Aggregation for Video Object Detection Haiping Wu, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang https://conftube.com/video/2ntDYowHbZs?tocitem=52 8. Video Object Segmentation Using Space-Time Memory Networks Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim https://conftube.com/video/2ntDYowHbZs?tocitem=57 9. Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao https://conftube.com/video/2ntDYowHbZs?tocitem=62 10. MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences Xingyu Liu, Mengyuan Yan, Jeannette Bohg https://conftube.com/video/2ntDYowHbZs?tocitem=69 11. 3D Instance Segmentation via Multi-Task Metric Learning Jean Lahoud, Bernard Ghanem, Marc Pollefeys, Martin R. Oswald https://conftube.com/video/2ntDYowHbZs?tocitem=80 12. DeepGCNs: Can GCNs Go As Deep As CNNs? Guohao Li, Matthias Müller, Ali Thabet, Bernard Ghanem https://conftube.com/video/2ntDYowHbZs?tocitem=88 13. Deep Hough Voting for 3D Object Detection in Point Clouds Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas https://conftube.com/video/2ntDYowHbZs?tocitem=96 14. M3D-RPN: Monocular 3D Region Proposal Network for Object Detection Garrick Brazil, Xiaoming Liu https://conftube.com/video/2ntDYowHbZs?tocitem=105 15. SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Jürgen Gall https://conftube.com/video/2ntDYowHbZs?tocitem=113 16. WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving Senthil Yogamani, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Padraig Varley, Derek O'Dea, Michal Uřičář, Stefan Milz, Martin Simon, Karl Amende, Christian Witt, Hazem Rashed, Sumanth Chennupati, Sanjaya Nayak, Saquib Mansoor, Xavier Perrotton, Patrick Pérez https://conftube.com/video/2ntDYowHbZs?tocitem=122 17. Scalable Place Recognition Under Appearance Change for Autonomous Driving Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian Reid https://conftube.com/video/2ntDYowHbZs?tocitem=128 18. Exploring the Limitations of Behavior Cloning for Autonomous Driving Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon https://conftube.com/video/2ntDYowHbZs?tocitem=134 19. Habitat: A Platform for Embodied AI Research Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra https://conftube.com/video/2ntDYowHbZs?tocitem=143

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