Julieta Martinez

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 16

Top Topics

Quantization Error

Motion Prediction

Multi Label Image Annotation

Top Venues

ECCV Workshops (1)

Publications

John Phillips, Julieta Martinez, Ioan Andrei Barsan, Sergio Casas, Abbas Sadat, Raquel Urtasun
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. CVPR (2021)
John Phillips, Julieta Martinez, Ioan Andrei Bârsan, Sergio Casas, Abbas Sadat, Raquel Urtasun
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. CoRR (2021)
Julieta Martinez, Jashan Shewakramani, Ting-Wei Liu, Ioan Andrei Barsan, Wenyuan Zeng, Raquel Urtasun
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks. CVPR (2021)
Julieta Martinez, Jashan Shewakramani, Ting-Wei Liu, Ioan Andrei Bârsan, Wenyuan Zeng, Raquel Urtasun
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks. CoRR (2020)
Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Bârsan, Shenlong Wang, Gellért Máttyus, Raquel Urtasun
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars. CoRR (2020)
Xinkai Wei, Ioan Andrei Bârsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun
Learning to Localize Through Compressed Binary Maps. CoRR (2020)
Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Bârsan, Shenlong Wang, Gellért Máttyus, Raquel Urtasun
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars. IROS (2020)
Xinkai Wei, Ioan Andrei Barsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun
Learning to Localize Through Compressed Binary Maps. CVPR (2019)
Julieta Martinez, Shobhit Zakhmi, Holger H. Hoos, James J. Little
LSQ++: Lower Running Time and Higher Recall in Multi-codebook Quantization. ECCV (16) (2018)
Julieta Martinez, Michael J. Black, Javier Romero
On Human Motion Prediction Using Recurrent Neural Networks. CVPR (2017)
Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little
A simple yet effective baseline for 3d human pose estimation. CoRR (2017)
Julieta Martinez, Rayat Hossain, Javier Romero, James J. Little
A Simple Yet Effective Baseline for 3d Human Pose Estimation. ICCV (2017)
Julieta Martinez, Michael J. Black, Javier Romero
On human motion prediction using recurrent neural networks. CoRR (2017)
Julieta Martinez, Holger H. Hoos, James J. Little
Solving Multi-codebook Quantization in the GPU. ECCV Workshops (1) (2016)
Ankur Gupta, John He, Julieta Martinez, James J. Little, Robert J. Woodham
Efficient video-based retrieval of human motion with flexible alignment. WACV (2016)
Julieta Martinez, Joris Clement, Holger H. Hoos, James J. Little
Revisiting Additive Quantization. ECCV (2) (2016)
Frederick Tung, Julieta Martinez, Holger H. Hoos, James J. Little
Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications. WACV (2015)
Julieta Martinez, James J. Little, Nando de Freitas
Bayesian Optimization with an Empirical Hardness Model for approximate Nearest Neighbour Search. WACV (2014)
Julieta Martinez, Holger H. Hoos, James J. Little
Stacked Quantizers for Compositional Vector Compression. CoRR (2014)
Ankur Gupta, Julieta Martinez, James J. Little, Robert J. Woodham
3D Pose from Motion for Cross-View Action Recognition via Non-linear Circulant Temporal Encoding. CVPR (2014)