Follow
Igor Vasiljevic
Igor Vasiljevic
Toyota Research Institute (TRI)
Verified email at tri.global - Homepage
Title
Cited by
Cited by
Year
Examining the impact of blur on recognition by convolutional networks
I Vasiljevic, A Chakrabarti, G Shakhnarovich
arXiv preprint arXiv:1611.05760, 2016
2552016
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
2252019
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
552022
Towards zero-shot scale-aware monocular depth estimation
V Guizilini, I Vasiljevic, D Chen, R Ambruș, A Gaidon
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
542023
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
49*2024
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
Self-supervised camera self-calibration from video
J Fang, I Vasiljevic, V Guizilini, R Ambrus, G Shakhnarovich, A Gaidon, ...
2022 International Conference on Robotics and Automation (ICRA), 8468-8475, 2022
222022
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
162024
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
162022
Systems and methods for semi-supervised depth estimation according to an arbitrary camera
V Guizilini, I Vasiljevic, RA Ambrus, S Pillai, AD Gaidon
US Patent 11,436,743, 2022
92022
Linearizing Large Language Models
J Mercat, I Vasiljevic, S Keh, K Arora, A Dave, A Gaidon, T Kollar
arXiv preprint arXiv:2405.06640, 2024
72024
Examining the impact of blur on recognition by convolutional networks. arXiv 2016
I Vasiljevic, A Chakrabarti, G Shakhnarovich
arXiv preprint arXiv:1611.05760, 0
6
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
52023
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
52023
Systems and methods for multi-camera modeling with neural camera networks
V Guizilini, I Vasiljevic, RA Ambrus, A Gaidon
US Patent 11,321,862, 2022
52022
The dense depth for autonomous driving (ddad) challenge
A Gaidon, G Shakhnarovich, R Ambrus, V Guizilini, I Vasiljevic, M Walter, ...
52021
Systems and methods for self-supervised depth estimation
V Guizilini, I Vasiljevic, RA Ambrus, A Gaidon
US Patent 11,494,927, 2022
42022
Camera agnostic depth network
V Guizilini, S Pillai, AD Gaidon, RA Ambrus, I Vasiljevic
US Patent 11,257,231, 2022
42022
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
Self-occlusion masks to improve self-supervised monocular depth estimation in multi-camera settings
V Guizilini, RA Ambrus, AD Gaidon, I Vasiljevic, G Shakhnarovich
US Patent 11,875,521, 2024
22024
The system can't perform the operation now. Try again later.
Articles 1–20