Pashmina Cameron

According to our database, Pashmina Cameron authored at least 11 papers between 2010 and 2023.

Collaborative distances:

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

2023

Project Silica: Towards Sustainable Cloud Archival Storage in Glass.

Patrick Anderson, Erika Blancada Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Thales De Carvalho, Andromachi Chatzieleftheriou, Rebekah Storan Clarke, James Clegg, Daniel Cletheroe, Bridgette Cooper, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander L. Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, István Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, Mint Kunkel, David Lara, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhães, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Trong Nguyen, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Antony I. T. Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Adam Smith, Ioan A. Stefanovici, David Sweeney, Benn Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations.

Sadegh Aliakbarian, Fatemeh Sadat Saleh, David Collier, Pashmina Cameron, Darren Cosker

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning to Extend Molecular Scaffolds with Structural Motifs.

Krzysztof Maziarz, Henry Richard Jackson-Flux, Pashmina Cameron, Finton Sirockin, Nadine Schneider, Nikolaus Stiefl, Marwin H. S. Segler, Marc Brockschmidt

Proceedings of the Tenth International Conference on Learning Representations, 2022

FLAG: Flow-based 3D Avatar Generation from Sparse Observations.

Sadegh Aliakbarian, Pashmina Cameron, Federica Bogo, Andrew W. Fitzgibbon, Thomas J. Cashman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Contextual HyperNetworks for Novel Feature Adaptation.

Angus Lamb, Evgeny Saveliev, Yingzhen Li, Sebastian Tschiatschek, Camilla Longden, Simon Woodhead, José Miguel Hernández-Lobato, Richard E. Turner, Pashmina Cameron, Cheng Zhang

CoRR, 2021

Learning to Extend Molecular Scaffolds with Structural Motifs.

Krzysztof Maziarz, Henry Jackson-Flux, Pashmina Cameron, Finton Sirockin, Nadine Schneider, Nikolaus Stiefl, Marc Brockschmidt

CoRR, 2021

2020

Towards Compliant Data Management Systems for Healthcare ML.

Goutham Ramakrishnan, Aditya Nori, Hannah Murfet, Pashmina Cameron

CoRR, 2020

Diagnostic Questions: The NeurIPS 2020 Education Challenge.

Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang

CoRR, 2020

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge.

Zichao Wang, Angus Lamb, Evgeny Saveliev, Pashmina Cameron, Yordan Zaykov, José Miguel Hernández-Lobato, Richard E. Turner, Richard G. Baraniuk, Craig Barton, Simon Peyton Jones, Simon Woodhead, Cheng Zhang

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2010

Epipolar Constraints for Multiscale Matching.

Bill Triggs, Pashmina Bendale

Proceedings of the British Machine Vision Conference, 2010

Multiscale Keypoint Analysis based on Complex Wavelets.

Pashmina Bendale, Bill Triggs, Nick G. Kingsbury

Proceedings of the British Machine Vision Conference, 2010