Fetching the paper…
Reading the bibliography…
We present Flex, an efficient and effective scene encoder that addresses the computational bottleneck of processing high-volume multi-camera data in end-to-end autonomous driving.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” NeurIPS , 2017
2017
Earlier work this paper cites.
A. Jaegle, F. Gimeno, A. Brock, O. Vinyals, A. Zisserman, and J. Carreira, “Perceiver: General perception with iterative attention,” in ICML , 2021
2021
Earlier work this paper cites.
M. S. Ryoo, A. Piergiovanni, A. Arnab, M. Dehghani, and A. Angelova, “Tokenlearner: What can 8 learned tokens do for images and videos?” in NeurIPS , 2021
2021
Earlier work this paper cites.
A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, J. Uszkoreit, and N. Houlsby, “An image is worth 16×16 words: Transformers for image recognition at scale,” in ICLR , 2021
2021
Earlier work this paper cites.
S. Hu, L. Chen, P. Wu, H. Li, J. Yan, and D. Tao, “St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning,” in ECCV , 2022
2022
Earlier work this paper cites.
Y. Liu, T. Wang, X. Zhang, and J. Sun, “Petr: Position embedding transformation for multi-view 3d object detection,” in ECCV , 2022
2022
Earlier work this paper cites.
T. Liang, H. Xie, K. Yu, Z. Xia, Z. Lin, Y. Wang, T. Tang, B. Wang, and Z. Tang, “Bevfusion: A simple and robust lidar-camera fusion framework,” in NeurIPS , 2022
2022
Earlier work this paper cites.
E. R. Chan, C. Z. Lin, M. A. Chan, K. Nagano, B. Pan, S. De Mello, O. Gallo, L. J. Guibas, J. Tremblay, S. Khamis et al. , “Efficient geometry-aware 3d generative adversarial networks,” in CVPR , 2022
2022
Earlier work this paper cites.
T. Müller, A. Evans, C. Schied, and A. Keller, “Instant neural graphics primitives with a multiresolution hash encoding,” ACM transactions on graphics (TOG) , 2022
2022
Earlier work this paper cites.
A. Jaegle, S. Borgeaud, J.-B. Alayrac, C. Doersch, C. Ionescu, D. Ding, S. Koppula, D. Zoran, A. Brock, E. Shelhamer, O. Hénaff, M. M. Botvinick, A. Zisserman, O. Vinyals, and J. Carreira, “Perceiver io: A general architecture for structured inputs & outputs,” in ICLR , 2022
2022
Earlier work this paper cites.
J.-B. Alayrac, J. Donahue, P. Luc, A. Miech, I. Barr, Y. Hasson, K. Lenc, A. Mensch, K. Millican, M. Reynolds et al. , “Flamingo: a visual language model for few-shot learning,” in NeurIPS , 2022
2022
Earlier work this paper cites.
A. Brohan, N. Brown, J. Carbajal, Y. Chebotar, J. Dabis, C. Finn, K. Gopalakrishnan, K. Hausman, A. Herzog, J. Hsu, J. Ibarz, B. Ichter, A. Irpan, T. Jackson, S. Jesmonth, N. J. Joshi, R. Julian, D. Kalashnikov, Y. Kuang, I. Leal, K.-H. Lee, S. Levine, Y. Lu, U. Malla, D. Manjunath, I. Mordatch, O. Nachum, C. Parada, J. Peralta, E. Perez, K. Pertsch, J. Quiambao, K. Rao, M. S. Ryoo, G. Salazar, P. R. Sanketi, K. Sayed, J. Singh, S. Sontakke, A. Stone, C. Tan, H. Tran, V. Vanhoucke, S. Vega, Q. Vuong, F. Xia, T. Xiao, P. Xu, S. Xu, T. Yu, and B. Zitkovich, “Rt-1: Robotics transformer for real-world control at scale,” in RSS , 2023
2023
Earlier work this paper cites.
Y. Hu, J. Yang, L. Chen, K. Li, C. Sima, X. Zhu, S. Chai, S. Du, T. Lin, W. Wang et al. , “Planning-oriented autonomous driving,” in CVPR , 2023
2023
Cited alongside, same era.
W. Tong, C. Sima, T. Wang, L. Chen, S. Wu, H. Deng, Y. Gu, L. Lu, P. Luo, D. Lin et al. , “Scene as occupancy,” in ICCV , 2023
2023
Cited alongside, same era.
Y. Huang, W. Zheng, Y. Zhang, J. Zhou, and J. Lu, “Tri-perspective view for vision-based 3d semantic occupancy prediction,” in CVPR , 2023
2023
Cited alongside, same era.
A. Cao and J. Johnson, “Hexplane: A fast representation for dynamic scenes,” in CVPR , 2023
2023
Cited alongside, same era.
J. Li, D. Li, S. Savarese, and S. Hoi, “Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,” in ICML , 2023
2023
Cited alongside, same era.
X. Tian, J. Gu, B. Li, Y. Liu, Y. Wang, Z. Zhao, K. Zhan, P. Jia, X. Lang, and H. Zhao, “Drivevlm: The convergence of autonomous driving and large vision-language models,” in CoRL , 2024
2024
Later among the works it cites.
Z. Li, W. Wang, H. Li, E. Xie, C. Sima, T. Lu, Q. Yu, and J. Dai, “Bevformer: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers,” IEEE Transactions on Pattern Analysis and Machine Intelligence , 2024
2024
Later among the works it cites.
T. Darcet, M. Oquab, J. Mairal, and P. Bojanowski, “Vision transformers need registers,” in ICLR , 2024
2024
Later among the works it cites.
2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Y. Liu, J. Yan, F. Jia, S. Li, A. Gao, T. Wang, and X. Zhang, “Petrv2: A unified framework for 3d perception from multi-camera images,” in ICCV , 2023
2023
Cited alongside, same era.
Y. Wei, L. Zhao, W. Zheng, Z. Zhu, J. Zhou, and J. Lu, “Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving,” in ICCV , 2023
2023
Cited alongside, same era.
S. Fridovich-Keil, G. Meanti, F. R. Warburg, B. Recht, and A. Kanazawa, “K-planes: Explicit radiance fields in space, time, and appearance,” in CVPR , 2023
2023
Cited alongside, same era.
M. Oquab, T. Darcet, T. Moutakanni, H. V. Vo, M. Szafraniec, V. Khalidov, P. Fernandez, D. Haziza, F. Massa, A. El-Nouby et al. , “Dinov2: Learning robust visual features without supervision,” Transactions on Machine Learning Research , 2023
2023
Cited alongside, same era.
W. Peebles and S. Xie, “Scalable diffusion models with transformers,” in ICCV , 2023
2023
Cited alongside, same era.
M. J. Kim, K. Pertsch, S. Karamcheti, T. Xiao, A. Balakrishna, S. Nair, R. Rafailov, E. P. Foster, P. R. Sanketi, Q. Vuong, T. Kollar, B. Burchfiel, R. Tedrake, D. Sadigh, S. Levine, P. Liang, and C. Finn, “Openvla: An open-source vision-language-action model,” in CoRL , 2024
2024
Cited alongside, same era.
2024
Cited alongside, same era.
J. Yang, B. Ivanovic, O. Litany, X. Weng, S. W. Kim, B. Li, T. Che, D. Xu, S. Fidler, M. Pavone, and Y. Wang, “Emernerf: Emergent spatial-temporal scene decomposition via self-supervision,” in ICLR , 2024
2024
Later among the works it cites.
Q. Yu, M. Weber, X. Deng, X. Shen, D. Cremers, and L.-C. Chen, “An image is worth 32 tokens for reconstruction and generation,” in NeurIPS , 2024
2024
Later among the works it cites.
2024
Later among the works it cites.
J. Yang, K. Z. Luo, J. Li, C. Deng, L. Guibas, D. Krishnan, K. Q. Weinberger, Y. Tian, and Y. Wang, “Denoising vision transformers,” in ECCV , 2024
2024
Later among the works it cites.
B. Ivanovic, C. Saltori, Y. You, Y. Wang, W. Luo, and M. Pavone, “Efficient multi-camera tokenization with triplanes for end-to-end driving,” IEEE Robotics and Automation Letters , vol. 10, no. 11, pp. 11 713–11 720, 2025
2025
Closest in time.
H. Jin, H. Jiang, H. Tan, K. Zhang, S. Bi, T. Zhang, F. Luan, N. Snavely, and Z. Xu, “Lvsm: A large view synthesis model with minimal 3d inductive bias,” in ICLR , 2025
2025
Closest in time.
J. Yang, J. Huang, Y. Chen, Y. Wang, B. Li, Y. You, M. Igl, A. Sharma, P. Karkus, D. Xu, B. Ivanovic, Y. Wang, and M. Pavone, “Storm: Spatio-temporal reconstruction model for large-scale outdoor scenes,” in ICLR , 2025
2025
Closest in time.
J. Wang, M. Chen, N. Karaev, A. Vedaldi, C. Rupprecht, and D. Novotny, “Vggt: Visual geometry grounded transformer,” in CVPR , 2025
2025
Closest in time.