ServiceNow Research

Negar Rostamzadeh

Publications

Proposal-based Instance Segmentation with Point Supervision. Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vazquez, Mark Schmidt. At International Conference on Image Processing (ICIP),  2020.

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Reinforced Active Learning for Image Segmentation. Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher Pal. At International Conference on Learning Representations (ICLR),  2020.

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Adaptive Cross-Modal Few-shot Learning. Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

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Deep Complex Separators. Christopher Pal, Negar Rostamzadeh, Ying Zhang, Olexa Bilaniuk, Chiheb Trabelsi. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

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Neural Multisensory Scene Inference. Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher Pal, Sungjin Ahn. At Conference on Neural Information Processing Systems (NeurIPS),  2019.

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Retrieving Signals in the Frequency Domain with Deep Complex Extractors. Chiheb Trabelsi, Olexa Bilaniuk, Ousmane Amadou Dia, Ying Zhang, Mirco Ravanelli, Jonathan Binas, Negar Rostamzadeh, Christopher Pal. At Workshop at the Neural Information Processing Systems (NeurIPS),  2019.

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Domain-Adaptive Single-view 3D Reconstruction. Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn. At International Conference on Computer Vision (ICCV),  2019.

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Adaptive Cross-Modal Few-shot Learning. Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro. At Workshop at the International Conference on Learning Representations (ICLR),  2019.

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Towards Standardization of Data Licenses: The Montreal Data License. Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Christopher Pal, Yoshua Bengio, Alex Shee. At Workshop at the International Conference on Learning Representations (ICLR),  2019.

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Adversarial Framing for Image and Video Classification. Konrad Zolna, Michal Zajac, Negar Rostamzadeh, Pedro O. Pinheiro. At Student Abstract at the Association for the Advancement of Artificial Intelligence (AAAI),  2019.

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Fashion-Gen: The Generative Fashion Dataset and Challenge. Negar Rostamzadeh, Seyedarian (Arian) Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Christopher Pal. At Women in Machine Learning (WiML),  2018.

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Reinforced Imitation in Heterogeneous Action Space. Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro. At Workshop at the Neural Information Processing Systems (NeurIPS),  2018.

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Where are the Blobs: Counting by Localization with Point Supervision. Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vazquez, Mark Schmidt. At European Conference on Computer Vision (ECCV),  2018.

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Fashion-Gen: The Generative Fashion Dataset and Challenge. Negar Rostamzadeh, Seyedarian (Arian) Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Christopher Pal. At Workshop at the International Conference on Machine Learning (ICML),  2018.

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Hierarchical Adversarially Learned Inference. Ishmael Belghazi, Sai Rajeswar Mudumba, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic, Aaron Courville. At Workshop at the International Conference on Machine Learning (ICML),  2018.

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Deep Complex Networks. Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher Pal. At International Conference on Learning Representations (ICLR),  2018.

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Deep Prior. Alexandre Lacoste, Thomas Boquet, Negar Rostamzadeh, Boris N. Oreshkin, Wonchang Chung, David Krueger. At Workshop at the Neural Information Processing Systems (NeurIPS),  2017.

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