Fetching the paper…
Reading the bibliography…
Vision-centric autonomous driving has recently raised wide attention due to its lower cost.
Using occupancy grids for mobile robot perception and navigation
Alberto Elfes · 1989
Earlier work this paper cites.
Monocular quasi-dense 3d object tracking
Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, and Min Sun · 2008
Earlier work this paper cites.
Distinguishing two dimensions of uncertainty
Craig R Fox and Gülden Ülkümen · 2011
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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.
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi, Hakan Bilen, and Andrea Vedaldi · 2017
Earlier work this paper cites.
Mvsnet: Depth inference for unstructured multi-view stereo
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova · 2019
Earlier work this paper cites.
nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
Earlier work this paper cites.
Mastering atari with discrete world models
Danijar Hafner, Timothy P Lillicrap, Mohammad Norouzi, and Jimmy Ba · 2020
Earlier work this paper cites.
Pnpnet: End-to-end perception and prediction with tracking in the loop
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, and Raquel Urtasun · 2020
Earlier work this paper cites.
Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
Earlier work this paper cites.
Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
Jonathan T Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P Srinivasan · 2021
Earlier work this paper cites.
Multisiam: Self-supervised multi-instance siamese representation learning for autonomous driving
Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, and Dit-Yan Yeung · 2021
Earlier work this paper cites.
Exploring geometry-aware contrast and clustering harmonization for self-supervised 3d object detection
Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, and Luc Van Gool · 2021
Earlier work this paper cites.
Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
Earlier work this paper cites.
Is pseudo-lidar needed for monocular 3d object detection?
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, and Adrien Gaidon · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Earlier work this paper cites.
Fcos3d: Fully convolutional one-stage monocular 3d object detection
Tai Wang, Xinge Zhu, Jiangmiao Pang, and Dahua Lin · 2021
Earlier work this paper cites.
Aa-rmvsnet: Adaptive aggregation recurrent multi-view stereo network
Zizhuang Wei, Qingtian Zhu, Chen Min, Yisong Chen, and Guoping Wang · 2021
Cited alongside, same era.
Plas: Latent action space for offline reinforcement learning
Wenxuan Zhou, Sujay Bajracharya, and David Held · 2021
Cited alongside, same era.
Deep learning for multi-view stereo via plane sweep: A survey
Qingtian Zhu, Chen Min, Zizhuang Wei, Yisong Chen, and Guoping Wang · 2021
Cited alongside, same era.
Zeyu Gao, Yao Mu, Ruoyan Shen, Chen Chen, Yangang Ren, Jianyu Chen, Shengbo Eben Li, Ping Luo, and Yanfeng Lu · 2022
Cited alongside, same era.
Bevdet4d: Exploit temporal cues in multi-camera 3d object detection
Junjie Huang and Guan Huang · 2022
Vip3d: End-to-end visual trajectory prediction via 3d agent queries
Junru Gu, Chenxu Hu, Tianyuan Zhang, Xuanyao Chen, Yilun Wang, Yue Wang, and Hang Zhao · 2023
Later among the works it cites.
Mastering diverse domains through world models
Danijar Hafner, Jurgis Pasukonis, Jimmy Ba, and Timothy Lillicrap · 2023
Later among the works it cites.
Masked autoencoder for self-supervised pre-training on lidar point clouds
Georg Hess, Johan Jaxing, Elias Svensson, David Hagerman, Christoffer Petersson, and Lennart Svensson · 2023
Later among the works it cites.
Neural world models for computer vision, 2023
Anthony Hu · 2023
Later among the works it cites.
3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Differentiable raycasting for self-supervised occupancy forecasting
Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, and Deva Ramanan · 2022
Cited alongside, same era.
A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27
Yann LeCun · 2022
Cited alongside, same era.
Effective adaptation in multi-task co-training for unified autonomous driving
Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, and Xiaodan Liang · 2022
Cited alongside, same era.
Petr: Position embedding transformation for multi-view 3d object detection
Yingfei Liu, Tiancai Wang, Xiangyu Zhang, and Jian Sun · 2022
Cited alongside, same era.
Occupancy flow fields for motion forecasting in autonomous driving
Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Ben Sapp, and Dragomir Anguelov · 2022
Cited alongside, same era.
Iso-dream: Isolating and leveraging noncontrollable visual dynamics in world models
Minting Pan, Xiangming Zhu, Yunbo Wang, and Xiaokang Yang · 2022
Cited alongside, same era.
Time will tell: New outlooks and a baseline for temporal multi-view 3d object detection
Jinhyung Park, Chenfeng Xu, Shijia Yang, Kurt Keutzer, Kris M Kitani, Masayoshi Tomizuka, and Wei Zhan · 2022
Cited alongside, same era.
Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, and Xiaodan Liang · 2023
Later among the works it cites.
Structured world models from human videos
Russell Mendonca, Shikhar Bahl, and Deepak Pathak · 2023
Later among the works it cites.
Occupancy-mae: Self-supervised pre-training large-scale lidar point clouds with masked occupancy autoencoders
Chen Min, Liang Xiao, Dawei Zhao, Yiming Nie, and Bin Dai · 2023
Later among the works it cites.
Temporal consistent 3d lidar representation learning for semantic perception in autonomous driving
Lucas Nunes, Louis Wiesmann, Rodrigo Marcuzzi, Xieyuanli Chen, Jens Behley, and Cyrill Stachniss · 2023
Later among the works it cites.
Multi-view masked world models for visual robotic manipulation
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, and Pieter Abbeel · 2023
Later among the works it cites.
Contrastive predictive autoencoders for dynamic point cloud self-supervised learning
Xiaoxiao Sheng, Zhiqiang Shen, and Gang Xiao · 2023
Later among the works it cites.
Geomae: Masked geometric target prediction for self-supervised point cloud pre-training
Xiaoyu Tian, Haoxi Ran, Yue Wang, and Hang Zhao · 2023
Later among the works it cites.
Scene as occupancy
Wenwen Tong, Chonghao Sima, Tai Wang, Li Chen, Silei Wu, Hanming Deng, Yi Gu, Lewei Lu, Ping Luo, Dahua Lin, et al · 2023
Later among the works it cites.
Mv-jar: Masked voxel jigsaw and reconstruction for lidar-based self-supervised pre-training
Runsen Xu, Tai Wang, Wenwei Zhang, Runjian Chen, Jinkun Cao, Jiangmiao Pang, and Dahua Lin · 2023
Later among the works it cites.
Spot: Scalable 3d pre-training via occupancy prediction for autonomous driving
Xiangchao Yan, Runjian Chen, Bo Zhang, Jiakang Yuan, Xinyu Cai, Botian Shi, Wenqi Shao, Junchi Yan, Ping Luo, and Yu Qiao · 2023
Later among the works it cites.
Ad-pt: Autonomous driving pre-training with large-scale point cloud dataset
Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, and Yu Qiao · 2023
Later among the works it cites.
Ponderv2: Pave the way for 3d foundataion model with a universal pre-training paradigm
Haoyi Zhu, Honghui Yang, Xiaoyang Wu, Di Huang, Sha Zhang, Xianglong He, Tong He, Hengshuang Zhao, Chunhua Shen, Yu Qiao, et al · 2023
Later among the works it cites.
Multi-camera unified pre-training via 3d scene reconstruction
Chen Min, Liang Xiao, Dawei Zhao, Yiming Nie, and Bin Dai · 2024
Closest in time.
Bevcontrast: Self-supervision in bev space for automotive lidar point clouds
Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, and Vincent Lepetit · 2024
Closest in time.