Negar Rostamzadeh
Negar Rostamzadeh
Research Scientist at Google Research
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Geciteerd door
Geciteerd door
Deep complex networks
C Trabelsi, O Bilaniuk, Y Zhang, D Serdyuk, S Subramanian, JF Santos, ...
International Conference on Learning Representations (ICLR'2018), 2017
Where are the blobs: Counting by localization with point supervision
IH Laradji, N Rostamzadeh, PO Pinheiro, D Vazquez, M Schmidt
Proceedings of the European Conference on Computer Vision (ECCV), 547-562, 2018
Adaptive Cross-Modal Few-Shot Learning
C Xing, N Rostamzadeh, BN Oreshkin, PO Pinheiro
Advances in Neural Information Processing Systems 2019 (NeurIPS'19), 2019
Realtime video classification using dense hof/hog
JRR Uijlings, IC Duta, N Rostamzadeh, N Sebe
Proceedings of international conference on multimedia retrieval, 145-152, 2014
Fashion-Gen: The Generative Fashion Dataset and Challenge
N Rostamzadeh, S Hosseini, T Boquet, W Stokowiec, Y Zhang, C Jauvin, ...
ICML workshop, 2018
Adversarial framing for image and video classification
M Zajac, K Zołna, N Rostamzadeh, PO Pinheiro
Proceedings of the AAAI Conference on Artificial Intelligence 33, 10077-10078, 2019
Reinforced active learning for image segmentation
A Casanova, P O. Pinheiro, N Rostamzadeh, C J. Pal
International Conference on Learning Representations (ICLR'2020), 2020
Time matters! capturing variation in time in video using fisher kernels
I Mironica, J Uijlings, N Rostamzadeh, B Ionescu, N Sebe
Proceedings of the 21st ACM international conference on multimedia, 701-704, 2013
Hierarchical Adversarially Learned Inference
MI Belghazi, S Rajeswar, O Mastropietro, N Rostamzadeh, J Mitrovic, ...
ICML workshop, 2018
Daily living activities recognition via efficient high and low level cues combination and fisher kernel representation
N Rostamzadeh, G Zen, I Mironică, J Uijlings, N Sebe
International Conference on Image Analysis and Processing, 431-441, 2013
Proposal-Based Instance Segmentation With Point Supervision
IH Laradji, N Rostamzadeh, PO Pinheiro, D Vazquez, M Schmidt
2020 IEEE International Conference on Image Processing (ICIP), 2126-2130, 2020
Uncertainty in multitask transfer learning
A Lacoste, B Oreshkin, W Chung, T Boquet, N Rostamzadeh, D Krueger
arXiv preprint arXiv:1806.07528, 2018
Deep prior
A Lacoste, T Boquet, N Rostamzadeh, B Oreshkin, W Chung, D Krueger
Advances in Neural Information Processing Systems (NIPS'17) Bayesian Deep …, 2017
Reinforced imitation in heterogeneous action space
K Zolna, N Rostamzadeh, Y Bengio, S Ahn, PO Pinheiro
arXiv preprint arXiv:1904.03438, 2019
Domain-Adaptive Single-View 3D Reconstruction
P Pinheiro, N Rostamzadeh, S Ahn
International Conference on Computer Vision 2019 (ICCV'19), 2018
Towards Standardization of Data Licenses: The Montreal Data License
M Benjamin, P Gagnon, N Rostamzadeh, C Pal, Y Bengio, A Shee
Computer Vision and Pattern Recognition (CVPR'2019) Fairness, Accountability …, 2019
Cluster Encoding for Modelling Temporal Variation in Video
N Rostamzadeh, J Uijlings, I Mironica, MK Abadi, B Ionescu, N Sebe
ICIP, 2015
Enhanced semantic descriptors for functional scene categorization
G Zen, N Rostamzadeh, J Staiano, E Ricci, N Sebe
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
Deep Cox mixtures for survival regression
C Nagpal, S Yadlowsky, N Rostamzadeh, K Heller
arXiv preprint arXiv:2101.06536, 2021
A multi-task learning framework for time-continuous emotion estimation from crowd annotations
MK Abadi, A Abad, R Subramanian, N Rostamzadeh, E Ricci, ...
Proceedings of the 2014 International ACM Workshop on Crowdsourcing for …, 2014
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