Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, S Gadre, H Bansal, E Guha, ... Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, and Vaishaal Shankar, 2024 | 6 | 2024 |
Camera agnostic depth network V Guizilini, S Pillai, AD Gaidon, RA Ambrus, I Vasiljevic US Patent 11,704,821, 2023 | | 2023 |
Camera agnostic depth network V Guizilini, S Pillai, AD Gaidon, RA Ambrus, I Vasiljevic US Patent 11,257,231, 2022 | 4 | 2022 |
Cross-attention decoding for volumetric rendering V Guizilini, RA Ambrus, J Fang, S Zakharov, V Sitzmann, I Vasiljevic, ... US Patent App. 18/364,783, 2024 | | 2024 |
DataComp-LM: In search of the next generation of training sets for language models J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, S Gadre, H Bansal, E Guha, ... arXiv preprint arXiv:2406.11794, 2024 | 4 | 2024 |
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields V Guizilini, I Vasiljevic, J Fang, R Ambrus, S Zakharov, V Sitzmann, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
Depth field networks for generalizable multi-view scene representation V Guizilini, I Vasiljevic, J Fang, R Ambru, G Shakhnarovich, MR Walter, ... European Conference on Computer Vision, 245-262, 2022 | 14 | 2022 |
Diode: A dense indoor and outdoor depth dataset I Vasiljevic, N Kolkin, S Zhang, R Luo, H Wang, FZ Dai, AF Daniele, ... arXiv preprint arXiv:1908.00463, 2019 | 193 | 2019 |
Examining the impact of blur on recognition by convolutional networks I Vasiljevic, A Chakrabarti, G Shakhnarovich arXiv preprint arXiv:1611.05760, 2016 | 247 | 2016 |
Full surround monodepth from multiple cameras V Guizilini, I Vasiljevic, R Ambrus, G Shakhnarovich, A Gaidon IEEE Robotics and Automation Letters 7 (2), 5397-5404, 2022 | 44 | 2022 |
Geometric 3d augmentations for transformer architectures V Guizilini, I Vasiljevic, AD Gaidon, J Fang, G Shakhnarovich, MR Walter, ... US Patent App. 18/110,421, 2024 | | 2024 |
Language models scale reliably with over-training and on downstream tasks S Yitzhak Gadre, G Smyrnis, V Shankar, S Gururangan, M Wortsman, ... arXiv e-prints, arXiv: 2403.08540, 2024 | | 2024 |
Language models scale reliably with over-training and on downstream tasks SY Gadre, G Smyrnis, V Shankar, S Gururangan, M Wortsman, R Shao, ... arXiv preprint arXiv:2403.08540, 2024 | 11 | 2024 |
Linearizing Large Language Models J Mercat, I Vasiljevic, S Keh, K Arora, A Dave, A Gaidon, T Kollar arXiv preprint arXiv:2405.06640, 2024 | 4 | 2024 |
Nerfuser: Large-scale scene representation by nerf fusion J Fang, S Lin, I Vasiljevic, V Guizilini, R Ambrus, A Gaidon, ... arXiv preprint arXiv:2305.13307, 2023 | 3 | 2023 |
Neural Camera Models I Vasiljevic arXiv preprint arXiv:2208.12903, 2022 | | 2022 |
Neural ray surfaces for self-supervised learning of depth and ego-motion I Vasiljevic, V Guizilini, R Ambrus, S Pillai, W Burgard, G Shakhnarovich, ... 2020 International Conference on 3D Vision (3DV), 1-11, 2020 | 29 | 2020 |
Radiant and volumetric latent space encoding for volumetric rendering V Guizilini, RA Ambrus, J Fang, S Zakharov, V Sitzmann, I Vasiljevic, ... US Patent App. 18/364,946, 2024 | | 2024 |
Robust Self-Supervised Extrinsic Self-Calibration T Kanai, I Vasiljevic, V Guizilini, A Gaidon, R Ambrus 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 2 | 2023 |
Scale-aware depth estimation using multi-camera projection loss V Guizilini, RA Ambrus, AD Gaidon, I Vasiljevic, G Shakhnarovich US Patent 12,033,341, 2024 | 2 | 2024 |