Hamed Pirsiavash

According to our database, Hamed Pirsiavash authored at least 87 papers between 2005 and 2024.

Collaborative distances:

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

2024

A collective AI via lifelong learning and sharing at the edge.

Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri

Nat. Mac. Intell., 2024

MoIN: Mixture of Introvert Experts to Upcycle an LLM.

Ajinkya Tejankar, Navaneet K. L., Ujjawal Panchal, Kossar Pourahmadi, Hamed Pirsiavash

CoRR, 2024

MCNC: Manifold Constrained Network Compression.

Chayne Thrash, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Reed Andreas, Hamed Pirsiavash, Soheil Kolouri

CoRR, 2024

One Category One Prompt: Dataset Distillation using Diffusion Models.

Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash, Soheil Kolouri

CoRR, 2024

A Closer Look at Robustness of Vision Transformers to Backdoor Attacks.

Akshayvarun Subramanya, Soroush Abbasi Koohpayegani, Aniruddha Saha, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SimA: Simple Softmax-free Attention for Vision Transformers.

Soroush Abbasi Koohpayegani, Hamed Pirsiavash

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

FAT-RABBIT: Fault-Aware Training towards Robustness AgainstBit-flip Based Attacks in Deep Neural Networks.

Hossein Pourmehrani, Javad Bahrami, Parsa Nooralinejad, Hamed Pirsiavash, Naghmeh Karimi

Proceedings of the IEEE International Test Conference, 2024

NOLA: Compressing LoRA using Linear Combination of Random Basis.

Soroush Abbasi Koohpayegani, Navaneet K. L., Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization.

K. L. Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

Proceedings of the Computer Vision - ECCV 2024, 2024

SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Essam Sleiman, Hamed Pirsiavash

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BrainWash: A Poisoning Attack to Forget in Continual Learning.

Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Multi-Agent Lifelong Implicit Neural Learning.

Soheil Kolouri, Ali Abbasi, Soroush Abbasi Koohpayegani, Parsa Nooralinejad, Hamed Pirsiavash

IEEE Signal Process. Lett., 2023

GeNIe: Generative Hard Negative Images Through Diffusion.

Soroush Abbasi Koohpayegani, Anuj Singh, K. L. Navaneet, Hadi Jamali Rad, Hamed Pirsiavash

CoRR, 2023

Compact3D: Compressing Gaussian Splat Radiance Field Models with Vector Quantization.

K. L. Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

CoRR, 2023

NOLA: Networks as Linear Combination of Low Rank Random Basis.

Soroush Abbasi Koohpayegani, K. L. Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash

CoRR, 2023

SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Essam Sleiman, Hamed Pirsiavash

CoRR, 2023

A Cookbook of Self-Supervised Learning.

Randall Balestriero, Mark Ibrahim, Vlad Sobal, Ari Morcos, Shashank Shekhar, Tom Goldstein, Florian Bordes, Adrien Bardes, Grégoire Mialon, Yuandong Tian, Avi Schwarzschild, Andrew Gordon Wilson, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, Micah Goldblum

CoRR, 2023

MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification.

Huanle Zhang, Hamed Pirsiavash, Xin Liu

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

PRANC: Pseudo RAndom Networks for Compacting deep models.

Parsa Nooralinejad, Ali Abbasi, Soroush Abbasi Koohpayegani, Kossar Pourahmadi Meibodi, Rana Muhammad Shahroz Khan, Soheil Kolouri, Hamed Pirsiavash

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

Is Multi-Task Learning an Upper Bound for Continual Learning?

Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri

Proceedings of the IEEE International Conference on Acoustics, 2023

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning.

Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Backdoor Attacks on Vision Transformers.

Akshayvarun Subramanya, Aniruddha Saha, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

CoRR, 2022

PRANC: Pseudo RAndom Networks for Compacting deep models.

Parsa Nooralinejad, Ali Abbasi, Soheil Kolouri, Hamed Pirsiavash

CoRR, 2022

A Simple Approach to Adversarial Robustness in Few-shot Image Classification.

Akshayvarun Subramanya, Hamed Pirsiavash

CoRR, 2022

Amenable Sparse Network Investigator.

Saeed Damadi, Erfan Nouri, Hamed Pirsiavash

CoRR, 2022

SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

CoRR, 2022

Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash

Proceedings of the Computer Vision - ECCV 2022, 2022

Adaptive Token Sampling for Efficient Vision Transformers.

Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Sunando Sengupta, Hamid Reza Vaezi Joze, Eric Sommerlade, Hamed Pirsiavash, Jürgen Gall

Proceedings of the Computer Vision - ECCV 2022, 2022

Backdoor Attacks on Self-Supervised Learning.

Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

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

Consistent Explanations by Contrastive Learning.

Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash

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

Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations.

Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision.

Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz

CoRR, 2021

STAF: A Spatio-Temporal Attention Fusion Network for Few-shot Video Classification.

Rex Liu, Huanle Zhang, Hamed Pirsiavash, Xin Liu

CoRR, 2021

ATS: Adaptive Token Sampling For Efficient Vision Transformers.

Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Eric Sommerlade, Hamid Reza Vaezi Joze, Hamed Pirsiavash, Juergen Gall

CoRR, 2021

A Simple Baseline for Low-Budget Active Learning.

Kossar Pourahmadi, Parsa Nooralinejad, Hamed Pirsiavash

CoRR, 2021

Constrained Mean Shift for Representation Learning.

Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

CoRR, 2021

ISD: Self-Supervised Learning by Iterative Similarity Distillation.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mean Shift for Self-Supervised Learning.

Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Explainable Models with Consistent Interpretations.

Vipin Pillai, Hamed Pirsiavash

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

CompRess: Self-Supervised Learning by Compressing Representations.

Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning.

Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On-Chip Voltage and Temperature Digital Sensor for Security, Reliability, and Portability.

Md Toufiq Hasan Anik, Mohammad Ebrahimabadi, Hamed Pirsiavash, Jean-Luc Danger, Sylvain Guilley, Naghmeh Karimi

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

Role of Spatial Context in Adversarial Robustness for Object Detection.

Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs.

Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hidden Trigger Backdoor Attacks.

Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A simple baseline for domain adaptation using rotation prediction.

Ajinkya Tejankar, Hamed Pirsiavash

CoRR, 2019

Adversarial Patches Exploiting Contextual Reasoning in Object Detection.

Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash

CoRR, 2019

Fooling Network Interpretation in Image Classification.

Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Cross-Modal Scene Networks.

Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Towards Hiding Adversarial Examples from Network Interpretation.

Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash

CoRR, 2018

Boosting Self-Supervised Learning via Knowledge Transfer.

Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Automated Detection of Substance Use-Related Social Media Posts Based on Image and Text Analysis.

Arpita Roy, Anamika Paul, Hamed Pirsiavash, Shimei Pan

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Representation Learning by Learning to Count.

Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro

Proceedings of the IEEE International Conference on Computer Vision, 2017

Weakly Supervised Cascaded Convolutional Networks.

Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Visualizing Object Detection Features.

Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba

Int. J. Comput. Vis., 2016

Generating Videos with Scene Dynamics.

Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Anticipating Visual Representations from Unlabeled Video.

Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Predicting Motivations of Actions by Leveraging Text.

Carl Vondrick, Deniz Oktay, Hamed Pirsiavash, Antonio Torralba

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns.

Ali Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Aligned Cross-Modal Representations from Weakly Aligned Data.

Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks.

Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

Anticipating the future by watching unlabeled video.

Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

CoRR, 2015

Learning visual biases from human imagination.

Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Acquiring Visual Classifiers from Human Imagination.

Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba

CoRR, 2014

Inferring the Why in Images.

Hamed Pirsiavash, Carl Vondrick, Antonio Torralba

CoRR, 2014

Assessing the Quality of Actions.

Hamed Pirsiavash, Carl Vondrick, Antonio Torralba

Proceedings of the Computer Vision - ECCV 2014, 2014

Parsing Videos of Actions with Segmental Grammars.

Hamed Pirsiavash, Deva Ramanan

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Are all training examples equally valuable?

Àgata Lapedriza, Hamed Pirsiavash, Zoya Bylinskii, Antonio Torralba

CoRR, 2013

Parsing IKEA Objects: Fine Pose Estimation.

Joseph J. Lim, Hamed Pirsiavash, Antonio Torralba

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Steerable part models.

Hamed Pirsiavash, Deva Ramanan

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Detecting activities of daily living in first-person camera views.

Hamed Pirsiavash, Deva Ramanan

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Globally-optimal greedy algorithms for tracking a variable number of objects.

Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A large-scale benchmark dataset for event recognition in surveillance video.

Sangmin Oh, Anthony Hoogs, A. G. Amitha Perera, Naresh P. Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry S. Davis, Eran Swears, Xiaoyang Wang, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video.

Sangmin Oh, Anthony Hoogs, A. G. Amitha Perera, Naresh P. Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry S. Davis, Eran Swears, Xiaoyang Wang, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2010

TalkMiner: a search engine for online lecture video.

John Adcock, Matthew Cooper, Laurent Denoue, Hamed Pirsiavash, Lawrence A. Rowe

Proceedings of the 18th International Conference on Multimedia 2010, 2010

TalkMiner: a lecture webcast search engine.

John Adcock, Matthew Cooper, Laurent Denoue, Hamed Pirsiavash, Lawrence A. Rowe

Proceedings of the 18th International Conference on Multimedia 2010, 2010

2009

Opti-Acoustic Stereo Imaging: On System Calibration and 3-D Target Reconstruction.

Shahriar Negahdaripour, Hicham Sekkati, Hamed Pirsiavash

IEEE Trans. Image Process., 2009

Towards Environment-to-Environment (E2E) multimedia communication systems.

Vivek K. Singh, Hamed Pirsiavash, Ish Rishabh, Ramesh C. Jain

Multim. Tools Appl., 2009

Bilinear classifiers for visual recognition.

Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Personal photo album summarization.

Pinaki Sinha, Hamed Pirsiavash, Ramesh C. Jain

Proceedings of the 17th International Conference on Multimedia 2009, 2009

2007

Opti-Acoustic Stereo Imaging, System Calibration and 3-D Reconstruction.

Shahriar Negahdaripour, Hicham Sekkati, Hamed Pirsiavash

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Integration of Motion Cues in Optical and Sonar Videos for 3-D Positioning.

Shahriar Negahdaripour, Hamed Pirsiavash, Hicham Sekkati

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Robust Content-Based Video Watermarking Exploiting Motion Entropy Masking Effect.

Amir Houmansadr, Hamed Pirsiavash, Shahrokh Ghaemmaghami

Proceedings of the SIGMAP 2006, 2006

2005

A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents.

Ramin Mehran, Hamed Pirsiavash, Farbod Razzazi

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2005

A Robust Free Size OCR for Omni-Font Persian/Arabic Printed Document Using Combined MLP/SVM.

Hamed Pirsiavash, Ramin Mehran, Farbod Razzazi

Proceedings of the Progress in Pattern Recognition, 2005

An Iterative Approach for Reconstruction of Arbitrary Sparsely Sampled Magnetic Resonance Images.

Hamed Pirsiavash, Mohammad Soleymani, Gholam-Ali Hossein-Zadeh

Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005