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Benjamin Caine
Benjamin Caine
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Zitiert von
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Scalability in perception for autonomous driving: Waymo open dataset
P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
31592020
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
22172023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
7032024
Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
S Ettinger, S Cheng, B Caine, C Liu, H Zhao, S Pradhan, Y Chai, B Sapp, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
5402021
Deepfusion: Lidar-camera deep fusion for multi-modal 3d object detection
Y Li, AW Yu, T Meng, B Caine, J Ngiam, D Peng, J Shen, Y Lu, D Zhou, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
3972022
Scene transformer: A unified architecture for predicting multiple agent trajectories
J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ...
arXiv preprint arXiv:2106.08417, 2021
2712021
Starnet: Targeted computation for object detection in point clouds
J Ngiam, B Caine, W Han, B Yang, Y Chai, P Sun, Y Zhou, X Yi, O Alsharif, ...
arXiv preprint arXiv:1908.11069, 2019
1322019
Capabilities of gemini models in medicine
K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ...
arXiv preprint arXiv:2404.18416, 2024
982024
Improving 3d object detection through progressive population based augmentation
S Cheng, Z Leng, ED Cubuk, B Zoph, C Bai, J Ngiam, Y Song, B Caine, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
952020
To the point: Efficient 3d object detection in the range image with graph convolution kernels
Y Chai, P Sun, J Ngiam, W Wang, B Caine, V Vasudevan, X Zhang, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
862021
Scene transformer: A unified multi-task model for behavior prediction and planning
J Ngiam, B Caine, V Vasudevan, Z Zhang, HTL Chiang, J Ling, R Roelofs, ...
arXiv preprint arXiv:2106.08417 2 (7), 2021
792021
When does dough become a bagel? analyzing the remaining mistakes on imagenet
V Vasudevan, B Caine, R Gontijo Lopes, S Fridovich-Keil, R Roelofs
Advances in Neural Information Processing Systems 35, 6720-6734, 2022
532022
Pseudo-labeling for scalable 3d object detection
B Caine, R Roelofs, V Vasudevan, J Ngiam, Y Chai, Z Chen, J Shlens
arXiv preprint arXiv:2103.02093, 2021
452021
Mammut: A simple architecture for joint learning for multimodal tasks
W Kuo, AJ Piergiovanni, D Kim, X Luo, B Caine, W Li, A Ogale, L Zhou, ...
arXiv preprint arXiv:2303.16839, 2023
282023
Streaming object detection for 3-d point clouds
W Han, Z Zhang, B Caine, B Yang, C Sprunk, O Alsharif, J Ngiam, ...
European Conference on Computer Vision, 423-441, 2020
272020
Scalability in perception for autonomous driving: Waymo open dataset. arXiv 2019
P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ...
arXiv preprint arXiv:1912.04838, 1912
191912
Pseudoaugment: Learning to use unlabeled data for data augmentation in point clouds
Z Leng, S Cheng, B Caine, W Wang, X Zhang, J Shlens, M Tan, ...
European conference on computer vision, 555-572, 2022
172022
Imagen 3
J Baldridge, J Bauer, M Bhutani, N Brichtova, A Bunner, K Chan, Y Chen, ...
arXiv preprint arXiv:2408.07009, 2024
92024
Causalagents: A robustness benchmark for motion forecasting using causal relationships
R Roelofs, L Sun, B Caine, KS Refaat, B Sapp, S Ettinger, W Chai
arXiv preprint arXiv:2207.03586, 2022
82022
Object detection in point clouds
J Shlens, PAP Nguyen, BJ Caine, J Ngiam, W Han, BC Yang, Y Chai, ...
US Patent 11,450,120, 2022
32022
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