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Igor Vasiljevic
Igor Vasiljevic
Toyota Research Institute (TRI)
在 tri.global 的电子邮件经过验证 - 首页
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引用次数
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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
62024
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
42022
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
42024
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
142022
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
1932019
Examining the impact of blur on recognition by convolutional networks
I Vasiljevic, A Chakrabarti, G Shakhnarovich
arXiv preprint arXiv:1611.05760, 2016
2472016
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
442022
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
112024
Linearizing Large Language Models
J Mercat, I Vasiljevic, S Keh, K Arora, A Dave, A Gaidon, T Kollar
arXiv preprint arXiv:2405.06640, 2024
42024
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
32023
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
292020
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
22023
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
22024
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