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Julieta Martinez
Julieta Martinez
Sr. Research Scientist, Waabi
Verified email at waabi.ai - Homepage
Title
Cited by
Cited by
Year
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
9012017
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
5722017
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
1272014
Revisiting additive quantization
J Martinez, J Clement, HH Hoos, JJ Little
European Conference on Computer Vision (ECCV), 137-153, 2016
512016
Stacked Quantizers for Compositional Vector Compression
J Martinez, HH Hoos, JJ Little
arXiv preprint arXiv:1411.2173, 2014
482014
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
242019
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
222018
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
82016
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
62021
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
62020
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
52021
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
52016
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
42014
Algorithms for large-scale multi-codebook quantization
J Martinez-Covarrubias
University of British Columbia, 2018
22018
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
22015
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, 1997
11997
Feature Compression and Localization for Autonomous Devices
R Urtasun, X Wei, IA Barsan, JC Martinez, S Wang
US Patent App. 16/598,561, 2020
2020
Binary Feature Compression for Autonomous Devices
R Urtasun, X Wei, IA Barsan, JC Martinez, S Wang
US Patent App. 16/598,579, 2020
2020
Attention Based Feature Compression and Localization for Autonomous Devices
R Urtasun, X Wei, IA Barsan, JC Martinez, S Wang
US Patent App. 16/598,629, 2020
2020
Do deep features retrieve X?
J Martinez
2015
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Articles 1–20