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Hamed Pirsiavash

University of Maryland Baltimore County

ISD: Self-Supervised Learning by Iterative Similarity Distillation


Dec 16, 2020
Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash


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COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning


Nov 01, 2020
Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox

* 27 pages, 5 figures, 19 tables. To be published in the 34th conference on Neural Information Processing Systems (NeurIPS 2020). The first two authors contributed equally to this work 

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CompRess: Self-Supervised Learning by Compressing Representations


Oct 28, 2020
Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash


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A simple baseline for domain adaptation using rotation prediction


Dec 26, 2019
Ajinkya Tejankar, Hamed Pirsiavash


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Adversarial Patches Exploiting Contextual Reasoning in Object Detection


Sep 30, 2019
Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash


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Hidden Trigger Backdoor Attacks


Sep 30, 2019
Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash


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Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs


Jun 26, 2019
Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann


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Towards Hiding Adversarial Examples from Network Interpretation


Dec 06, 2018
Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash


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Boosting Self-Supervised Learning via Knowledge Transfer


May 01, 2018
Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash


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Representation Learning by Learning to Count


Aug 22, 2017
Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro

* ICCV 2017(oral) 

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Predicting Motivations of Actions by Leveraging Text


Nov 30, 2016
Carl Vondrick, Deniz Oktay, Hamed Pirsiavash, Antonio Torralba

* CVPR 2016 

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Anticipating Visual Representations from Unlabeled Video


Nov 30, 2016
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

* CVPR 2016 

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Weakly Supervised Cascaded Convolutional Networks


Nov 24, 2016
Ali Diba, Vivek Sharma, Ali Pazandeh, Hamed Pirsiavash, Luc Van Gool


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Cross-Modal Scene Networks


Oct 27, 2016
Yusuf Aytar, Lluis Castrejon, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

* See more at http://cmplaces.csail.mit.edu/. arXiv admin note: text overlap with arXiv:1607.07295 

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Generating Videos with Scene Dynamics


Oct 26, 2016
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

* NIPS 2016. See more at http://web.mit.edu/vondrick/tinyvideo/ 

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Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks


Sep 19, 2016
Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka


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DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns


Aug 10, 2016
Ali Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool

* in CVPR 2016 

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Learning Aligned Cross-Modal Representations from Weakly Aligned Data


Jul 25, 2016
Lluis Castrejon, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

* Conference paper at CVPR 2016 

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Learning visual biases from human imagination


Nov 16, 2015
Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba

* To appear at NIPS 2015 

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Visualizing Object Detection Features


Feb 19, 2015
Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba

* In submission to IJCV 

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Are all training examples equally valuable?


Nov 25, 2013
Agata Lapedriza, Hamed Pirsiavash, Zoya Bylinskii, Antonio Torralba


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