Julieta Martinez

According to our database, Julieta Martinez authored at least 17 papers between 2014 and 2025.

Collaborative distances:

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

2025

Pippo: High-Resolution Multi-View Humans from a Single Image.

Yash Kant, Ethan Weber, Jin Kyu Kim, Rawal Khirodkar, Su Zhaoen, Julieta Martinez, Igor Gilitschenski, Shunsuke Saito, Timur M. Bagautdinov

CoRR, February, 2025

2024

Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars.

Julieta Martinez, Emily Kim, Javier Romero, Timur M. Bagautdinov, Shunsuke Saito, Shoou-I Yu, Stuart Anderson, Michael Zollhöfer, Te-Li Wang, Shaojie Bai, Chenghui Li, Shih-En Wei, Rohan Joshi, Wyatt Borsos, Tomas Simon, Jason M. Saragih, Paul Theodosis, Alexander Greene, Anjani Josyula, Silvio Maeta, Andrew Jewett, Simion Venshtain, Christopher Heilman, Yueh-Tung Chen, Sidi Fu, Mohamed Elshaer, Tingfang Du, Longhua Wu, Shen-Chi Chen, Kai Kang, Michael Wu, Youssef Emad, Steven Longay, Ashley Brewer, Hitesh Shah, James Booth, Taylor Koska, Kayla Haidle, Matthew Andromalos, Joanna Hsu, Thomas Dauer, Peter Selednik, Timothy Godisart, Scott Ardisson, Matthew Cipperly, Ben Humberston, Lon Farr, Bob Hansen, Peihong Guo, Dave Braun, Steven Krenn, He Wen, Lucas Evans, Natalia Fadeeva, Matthew Stewart, Gabriel Schwartz, Divam Gupta, Gyeongsik Moon, Kaiwen Guo, Yuan Dong, Yichen Xu, Takaaki Shiratori, Fabian Prada, Bernardo Pires, Bo Peng, Julia Buffalini, Autumn Trimble, Kevyn McPhail, Melissa Schoeller, Yaser Sheikh

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Sapiens: Foundation for Human Vision Models.

Rawal Khirodkar, Timur M. Bagautdinov, Julieta Martinez, Su Zhaoen, Austin James, Peter Selednik, Stuart Anderson, Shunsuke Saito

Proceedings of the Computer Vision - ECCV 2024, 2024

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