A simple yet effective baseline for 3d human pose estimation J Martinez, R Hossain, J Romero, JJ Little International Conference on Computer Vision (ICCV), 2017 | 1696 | 2017 |
On human motion prediction using recurrent neural networks J Martinez, MJ Black, J Romero Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, 2017 | 1115 | 2017 |
3D Pose from Motion for Cross-view Action Recognition via Non-linear Circulant Temporal Encoding A Gupta, J Martinez, JJ Little, RJ Woodham Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, 2014 | 151 | 2014 |
Revisiting additive quantization J Martinez, J Clement, HH Hoos, JJ Little European Conference on Computer Vision (ECCV), 137-153, 2016 | 69 | 2016 |
Stacked Quantizers for Compositional Vector Compression J Martinez, HH Hoos, JJ Little arXiv preprint arXiv:1411.2173, 2014 | 65 | 2014 |
LSQ++: lower running time and higher recall in multi-codebook quantization J Martinez, S Zakhmi, H Hoos, J Little Proceedings of the European Conference on Computer Vision (ECCV), 491-506, 2018 | 44 | 2018 |
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction J Phillips, J Martinez, IA Bârsan, S Casas, A Sadat, R Urtasun Computer Vision and Pattern Recognition (CVPR), 2021 IEEE Conference on, 2021 | 39 | 2021 |
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks J Martinez, J Shewakramani, TW Liu, IA Bârsan, W Zeng, R Urtasun Computer Vision and Pattern Recognition (CVPR), 2021 IEEE Conference on, 2021 | 38 | 2021 |
Learning to localize through compressed binary maps X Wei, IA Bârsan, S Wang, J Martinez, R Urtasun Computer Vision and Pattern Recognition (CVPR), 2019 IEEE Conference on …, 2019 | 38 | 2019 |
Pit30m: A benchmark for global localization in the age of self-driving cars J Martinez, S Doubov, J Fan, S Wang, G Máttyus, R Urtasun 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 13 | 2020 |
Efficient video-based retrieval of human motion with flexible alignment A Gupta, J He, J Martinez, JJ Little, RJ Woodham 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016 | 12 | 2016 |
Solving multi-codebook quantization in the GPU J Martinez, HH Hoos, JJ Little 4th Workshop on Web-scale Vision and Social Media (VSM), ECCV workshops, 2016, 2016 | 5 | 2016 |
Bayesian Optimization with an Empirical Hardness Model for Approximate Nearest Neighbour Search J Martinez, JJ Little, N de Freitas Applications of Computer Vision (WACV), 2014 IEEE Winter Conference on, 2014 | 5 | 2014 |
Algorithms for large-scale multi-codebook quantization J Martinez-Covarrubias University of British Columbia, 2018 | 2 | 2018 |
Bank of quantization models: A data-specific approach to learning binary codes for large-scale retrieval applications F Tung, J Martinez, HH Hoos, JJ Little 2015 IEEE Winter Conference on Applications of Computer Vision, 566-571, 2015 | 2 | 2015 |
Las necesidades sociosanitarias de las personas con enfermedades mentales crónicas y sus cuidadores en Navarra V Madoz, JC Martínez, A Izco, M Salinas, MD Aróstegui Anales del sistema sanitario de Navarra 22, 139-148, 1999 | 2 | 1999 |
Sapiens: Foundation for Human Vision Models R Khirodkar, T Bagautdinov, J Martinez, S Zhaoen, A James, P Selednik, ... arXiv preprint arXiv:2408.12569, 2024 | 1 | 2024 |
Binary feature compression for autonomous devices R Urtasun, X Wei, IA Barsan, JM Covarrubias, S Wang US Patent 11,461,583, 2022 | 1 | 2022 |
Feature compression and localization for autonomous devices R Urtasun, X Wei, IA Barsan, JM Covarrubias, S Wang US Patent 11,715,012, 2023 | | 2023 |
Attention based feature compression and localization for autonomous devices R Urtasun, X Wei, IA Barsan, JM Covarrubias, S Wang US Patent 11,449,713, 2022 | | 2022 |