Fetching the paper…
Reading the bibliography…
Bird's-eye-view (BEV) is a powerful and widely adopted representation for road scenes that captures surrounding objects and their spatial locations, along with overall context in the scene.
Recovering the spatial layout of cluttered rooms
V. Hedau, D. Hoiem, and D. Forsyth · 2009
Earlier work this paper cites.
A vision based top-view transformation model for a vehicle parking assistant
Chien-Chuan Lin and Ming-Shi Wang · 2012
Earlier work this paper cites.
Learning transferable features with deep adaptation networks
Mingsheng Long and Jianmin Wang · 2015
Earlier work this paper cites.
Unsupervised pixel-level domain adaptation with generative adversarial networks
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, and Dilip Krishnan · 2016
Earlier work this paper cites.
3d object proposals using stereo imagery for accurate object class detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2016
Earlier work this paper cites.
Learning modular neural network policies for multi-task and multi-robot transfer
Coline Devin, Abhishek Gupta, Trevor Darrell, Pieter Abbeel, and Sergey Levine · 2016
Earlier work this paper cites.
Coupled generative adversarial networks
Ming-Yu Liu and Oncel Tuzel · 2016
Earlier work this paper cites.
Unsupervised cross-domain image generation
Yaniv Taigman, Adam Polyak, and Lior Wolf · 2016
Earlier work this paper cites.
Pano2cad: Room layout from A single panorama image
Jiu Xu, Björn Stenger, Tommi Kerola, and Tony Tung · 2016
Earlier work this paper cites.
Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
Earlier work this paper cites.
Policy transfer via modularity and reward guiding
Ignasi Clavera, David Held, and Pieter Abbeel · 2017
Earlier work this paper cites.
CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
Earlier work this paper cites.
Roomnet: End-to-end room layout estimation
Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, and Andrew Rabinovich · 2017
Cited alongside, same era.
Beyond grand theft auto v for training, testing and enhancing deep learning in self driving cars, 2017
Mark Martinez, Chawin Sitawarin, Kevin Finch, Lennart Meincke, Alex Yablonski, and Alain Kornhauser · 2017
Cited alongside, same era.
Minimal-entropy correlation alignment for unsupervised deep domain adaptation
Pietro Morerio, Jacopo Cavazza, and Vittorio Murino · 2017
Cited alongside, same era.
Robust object proposals re-ranking for object detection in autonomous driving using convolutional neural networks
Cuong Cao Pham and Jae Wook Jeon · 2017
Cited alongside, same era.
A geometric approach to obtain a bird’s eye view from an image
Ammar Abbas and Andrew Zisserman · 2019
Later among the works it cites.
Learning by cheating, 2019
Dian Chen, Brady Zhou, Vladlen Koltun, and Philipp Krähenbühl · 2019
Later among the works it cites.
Soft labels for ordinal regression
Raul Diaz and Amit Marathe · 2019
Later among the works it cites.
Cross-view semantic segmentation for sensing surroundings
Bowen Pan, Jiankai Sun, Alex Andonian, Aude Oliva, and Bolei Zhou · 2019
Later among the works it cites.
Refinedmpl: Refined monocular pseudolidar for 3d object detection in autonomous driving, 2019
Jean Marie Uwabeza Vianney, Shubhra Aich, and Bingbing Liu · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yifei Wang, Wen Li, Dengxin Dai, and Luc Van Gool · 2017
Cited alongside, same era.
Chauffeurnet: Learning to drive by imitating the best and synthesizing the worst
Mayank Bansal, Alex Krizhevsky, and Abhijit Ogale · 2018
Cited alongside, same era.
Intentnet: Learning to predict intention from raw sensor data
Sergio Casas, Wenjie Luo, and Raquel Urtasun · 2018
Cited alongside, same era.
Driving policy transfer via modularity and abstraction
Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, and Vladlen Koltun · 2018
Cited alongside, same era.
DCAN: dual channel-wise alignment networks for unsupervised scene adaptation
Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gökhan Uzunbas, Tom Goldstein, Ser-Nam Lim, and Larry S. Davis · 2018
Cited alongside, same era.
Generative adversarial frontal view to bird view synthesis
Xinge Zhu, Zhichao Yin, Jianping Shi, Hongsheng Li, and Dahua Lin · 2018
Cited alongside, same era.
Layoutnet: Reconstructing the 3d room layout from a single RGB image
Chuhang Zou, Alex Colburn, Qi Shan, and Derek Hoiem · 2018
Cited alongside, same era.
Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, and Trevor Darrell · 2019
Later among the works it cites.
Deep high-resolution representation learning for visual recognition
Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, and Bin Xiao · 2019
Later among the works it cites.
Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, and Kilian Weinberger · 2019
Later among the works it cites.
Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving, 2019
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, and Kilian Q. Weinberger · 2019
Later among the works it cites.
End-to-end pseudo-lidar for image-based 3d object detection, 2020
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, and Wei-Lun Chao · 2020
Closest in time.
Jin Hyeok Yoo, Yeocheol Kim, Ji Song Kim, and Jun Won Choi · 2020
Closest in time.