| Examining the impact of blur on recognition by convolutional networks I Vasiljevic, A Chakrabarti, G Shakhnarovich arXiv preprint arXiv:1611.05760, 2016 | 214 | 2016 |
| 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 | 117 | 2019 |
| 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 | 23 | 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 | 19 | 2020 |
| 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 | 9 | 2022 |
| 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 | 7 | 2022 |
| 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 | 5 | 2022 |
| Systems and methods for self-supervised depth estimation V Guizilini, I Vasiljevic, RA Ambrus, A Gaidon US Patent 11,494,927, 2022 | 3 | 2022 |
| Camera agnostic depth network V Guizilini, S Pillai, AD Gaidon, RA Ambrus, I Vasiljevic US Patent 11,257,231, 2022 | 3 | 2022 |
| 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 | 2 | 2022 |
| System and method to improve multi-camera monocular depth estimation using pose averaging V Guizilini, RA Ambrus, AD Gaidon, I Vasiljevic, G Shakhnarovich US Patent 11,727,589, 2023 | 1 | 2023 |
| Shared median-scaling metric for multi-camera self-supervised depth evaluation V Guizilini, RA Ambrus, AD Gaidon, I Vasiljevic, G Shakhnarovich US Patent 11,688,090, 2023 | 1 | 2023 |
| Systems and methods for self-supervised learning of camera intrinsic parameters from a sequence of images V Guizilini, AD Gaidon, RA Ambrus, I Vasiljevic, J Fang, G Shakhnarovich, ... US Patent App. 17/692,357, 2023 | 1 | 2023 |
| Scale-aware depth estimation using multi-camera projection loss V Guizilini, RA Ambrus, AD Gaidon, I Vasiljevic, G Shakhnarovich US Patent App. 17/390,760, 2022 | 1 | 2022 |
| 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 App. 17/385,358, 2022 | 1 | 2022 |
| Robust Self-Supervised Extrinsic Self-Calibration T Kanai, I Vasiljevic, V Guizilini, A Gaidon, R Ambrus arXiv preprint arXiv:2308.02153, 2023 | | 2023 |
| Systems and methods for multi-camera modeling with neural camera networks V Guizilini, I Vasiljevic, RA Ambrus, A Gaidon US Patent 11,704,822, 2023 | | 2023 |
| Camera agnostic depth network V Guizilini, S Pillai, AD Gaidon, RA Ambrus, I Vasiljevic US Patent 11,704,821, 2023 | | 2023 |
| Towards Zero-Shot Scale-Aware Monocular Depth Estimation V Guizilini, I Vasiljevic, D Chen, R Ambrus, A Gaidon arXiv preprint arXiv:2306.17253, 2023 | | 2023 |
| 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 | | 2023 |
Greg ShakhnarovichProfessor, TTI-ChicagoVerified email at ttic.edu
