Julieta Martinez

According to our database, Julieta Martinez authored at least 14 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Deep Multi-Task Learning for Joint Localization, Perception, and Prediction.

John Phillips, Julieta Martinez, Ioan Andrei Barsan, Sergio Casas, Abbas Sadat, Raquel Urtasun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks.

Julieta Martinez, Jashan Shewakramani, Ting-Wei Liu, Ioan Andrei Barsan, Wenyuan Zeng, Raquel Urtasun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars.

Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Bârsan, Shenlong Wang, Gellért Máttyus, Raquel Urtasun

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Learning to Localize Through Compressed Binary Maps.

Xinkai Wei, Ioan Andrei Barsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization.

Julieta Martinez, Shobhit Zakhmi, Holger H. Hoos, James J. Little

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

A Simple Yet Effective Baseline for 3d Human Pose Estimation.

Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little

Proceedings of the IEEE International Conference on Computer Vision, 2017

On Human Motion Prediction Using Recurrent Neural Networks.

Julieta Martinez, Michael J. Black, Javier Romero

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Efficient video-based retrieval of human motion with flexible alignment.

Ankur Gupta, John He, Julieta Martinez, James J. Little, Robert J. Woodham

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Solving Multi-codebook Quantization in the GPU.

Julieta Martinez, Holger H. Hoos, James J. Little

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Revisiting Additive Quantization.

Julieta Martinez, Joris Clement, Holger H. Hoos, James J. Little

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications.

Frederick Tung, Julieta Martinez, Holger H. Hoos, James J. Little

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

2014

Stacked Quantizers for Compositional Vector Compression.

Julieta Martinez, Holger H. Hoos, James J. Little

CoRR, 2014

Bayesian Optimization with an Empirical Hardness Model for approximate Nearest Neighbour Search.

Julieta Martinez, James J. Little, Nando de Freitas

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

3D Pose from Motion for Cross-View Action Recognition via Non-linear Circulant Temporal Encoding.

Ankur Gupta, Julieta Martinez, James J. Little, Robert J. Woodham

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014