| TranslatAR: A mobile augmented reality translator V Fragoso, S Gauglitz, S Zamora, J Kleban, M Turk 2011 IEEE workshop on applications of computer vision (WACV), 497-502, 2011 | 124 | 2011 |
| EVSAC: Accelerating Hypotheses Generation by Modeling Matching Scores with Extreme Value Theory V Fragoso, P Sen, S Rodriguez, M Turk ICCV 2013, 2013 | 97 | 2013 |
| Automatic text detection for mobile augmented reality translation M Petter, V Fragoso, M Turk, C Baur 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011 | 48 | 2011 |
| Large scale sfm with the distributed camera model C Sweeney, V Fragoso, T Höllerer, M Turk 2016 Fourth International Conference on 3D Vision (3DV), 230-238, 2016 | 46 | 2016 |
| gdls: A scalable solution to the generalized pose and scale problem C Sweeney, V Fragoso, T Höllerer, M Turk Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 42 | 2014 |
| Hyperstar: Task-aware hyperparameters for deep networks G Mittal, C Liu, N Karianakis, V Fragoso, M Chen, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 27 | 2020 |
| Patchmatch-based neighborhood consensus for semantic correspondence JY Lee, J DeGol, V Fragoso, SN Sinha Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 22 | 2021 |
| Eye-cu: Sleep pose classification for healthcare using multimodal multiview data C Torres, V Fragoso, SD Hammond, JC Fried, BS Manjunath 2016 IEEE Winter conference on applications of computer vision (WACV), 1-9, 2016 | 19 | 2016 |
| SWIGS: A swift guided sampling method V Fragoso, M Turk Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 18 | 2013 |
| Computer vision for mobile augmented reality M Turk, V Fragoso Mobile Cloud Visual Media Computing: From Interaction to Service, 3-42, 2015 | 16 | 2015 |
| Efficient scene compression for visual-based localization M Mera-Trujillo, B Smith, V Fragoso 2020 International Conference on 3D Vision (3DV), 1-10, 2020 | 13 | 2020 |
| GraphMatch: Efficient large-scale graph construction for structure from motion Q Cui, V Fragoso, C Sweeney, P Sen 2017 International Conference on 3D Vision (3DV), 165-174, 2017 | 11 | 2017 |
| gdls*: Generalized pose-and-scale estimation given scale and gravity priors V Fragoso, J DeGol, G Hua Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 9 | 2020 |
| One-class slab support vector machine V Fragoso, W Scheirer, J Hespanha, M Turk 2016 23rd International Conference on Pattern Recognition (ICPR), 420-425, 2016 | 9 | 2016 |
| Blt: Balancing long-tailed datasets with adversarially-perturbed images J Kozerawski, V Fragoso, N Karianakis, G Mittal, M Turk, M Chen Proceedings of the Asian Conference on Computer Vision, 2020 | 8 | 2020 |
| Cascade of box (CABOX) filters for optimal scale space approximation V Fragoso, G Srivastava, A Nagar, Z Li, K Park, M Turk Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 8 | 2014 |
| Ansac: Adaptive non-minimal sample and consensus V Fragoso, C Sweeney, P Sen, M Turk arXiv preprint arXiv:1709.09559, 2017 | 6 | 2017 |
| Patch correspondences for interpreting pixel-level cnns V Fragoso, C Liu, A Bansal, D Ramanan arXiv preprint arXiv:1711.10683, 2017 | 3 | 2017 |
| Bayesian embeddings for long-tailed datasets V Fragoso, D Ramanan | 2 | 2018 |
| Optimizing fiducial marker placement for improved visual localization Q Huang, J DeGol, V Fragoso, SN Sinha, JJ Leonard IEEE Robotics and Automation Letters 8 (5), 2756-2763, 2023 | 1 | 2023 |
Matthew TurkPresident, TTICVerified email at ttic.edu
