An Iterative Approach for Reconstruction of Arbitrary Sparsely Sampled Magnetic Resonance Images. - Hamed Pirsiavash; Mohammad Soleymani 003; Gholam-Ali Hossein-Zadeh (CBMS, 2005)

A Robust Free Size OCR for Omni-Font Persian/Arabic Printed Document Using Combined MLP/SVM. - Hamed Pirsiavash; Ramin Mehran; Farbod Razzazi (CIARP, 2005)

A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents. - Ramin Mehran; Hamed Pirsiavash; Farbod Razzazi (DICTA, 2005)

Robust Content-Based Video Watermarking Exploiting Motion Entropy Masking Effect. - Amir Houmansadr; Hamed Pirsiavash; Shahrokh Ghaemmaghami (SIGMAP, 2006)

Integration of Motion Cues in Optical and Sonar Videos for 3-D Positioning. - Shahriar Negahdaripour; Hamed Pirsiavash; Hicham Sekkati (CVPR, 2007)

Opti-Acoustic Stereo Imaging, System Calibration and 3-D Reconstruction. - Shahriar Negahdaripour; Hicham Sekkati; Hamed Pirsiavash (CVPR, 2007)

Personal photo album summarization. - Pinaki Sinha; Hamed Pirsiavash; Ramesh C. Jain (ACM Multimedia, 2009)

Bilinear classifiers for visual recognition. - Hamed Pirsiavash; Deva Ramanan; Charless C. Fowlkes (NIPS, 2009)

Towards Environment-to-Environment (E2E) multimedia communication systems. - Vivek K. Singh 001; Hamed Pirsiavash; Ish Rishabh; Ramesh C. Jain (Multim. Tools Appl., 2009)

Opti-Acoustic Stereo Imaging: On System Calibration and 3-D Target Reconstruction. - Shahriar Negahdaripour; Hicham Sekkati; Hamed Pirsiavash (IEEE Trans. Image Process., 2009)

TalkMiner: a lecture webcast search engine. - John Adcock; Matthew Cooper 002; Laurent Denoue; Hamed Pirsiavash; Lawrence A. Rowe (ACM Multimedia, 2010)

TalkMiner: a search engine for online lecture video. - John Adcock; Matthew Cooper 002; Laurent Denoue; Hamed Pirsiavash; Lawrence A. Rowe (ACM Multimedia, 2010)

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 001; et al. (AVSS, 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 001; et al. (CVPR, 2011)

Globally-optimal greedy algorithms for tracking a variable number of objects. - Hamed Pirsiavash; Deva Ramanan; Charless C. Fowlkes (CVPR, 2011)

Detecting activities of daily living in first-person camera views. - Hamed Pirsiavash; Deva Ramanan (CVPR, 2012)

Steerable part models. - Hamed Pirsiavash; Deva Ramanan (CVPR, 2012)

Parsing IKEA Objects: Fine Pose Estimation. - Joseph J. Lim; Hamed Pirsiavash; Antonio Torralba 001 (ICCV, 2013)

Are all training examples equally valuable? - Àgata Lapedriza; Hamed Pirsiavash; Zoya Bylinskii; Antonio Torralba 001 (CoRR, 2013)

Parsing Videos of Actions with Segmental Grammars. - Hamed Pirsiavash; Deva Ramanan (CVPR, 2014)

Assessing the Quality of Actions. - Hamed Pirsiavash; Carl Vondrick; Antonio Torralba 001 (ECCV (6), 2014)

Inferring the Why in Images. - Hamed Pirsiavash; Carl Vondrick; Antonio Torralba 001 (CoRR, 2014)

Acquiring Visual Classifiers from Human Imagination. - Carl Vondrick; Hamed Pirsiavash; Aude Oliva; Antonio Torralba 001 (CoRR, 2014)

Learning visual biases from human imagination. - Carl Vondrick; Hamed Pirsiavash; Aude Oliva; Antonio Torralba 001 (NIPS, 2015)

Anticipating the future by watching unlabeled video. - Carl Vondrick; Hamed Pirsiavash; Antonio Torralba 001 (CoRR, 2015)

Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks. - Arsalan Mousavian; Hamed Pirsiavash; Jana Kosecka (3DV, 2016)

Learning Aligned Cross-Modal Representations from Weakly Aligned Data. - Lluís Castrejón; Yusuf Aytar; Carl Vondrick; Hamed Pirsiavash; Antonio Torralba 001 (CVPR, 2016)

DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns. - Ali Diba; Ali Mohammad Pazandeh; Hamed Pirsiavash; Luc Van Gool (CVPR, 2016)

Predicting Motivations of Actions by Leveraging Text. - Carl Vondrick; Deniz Oktay; Hamed Pirsiavash; Antonio Torralba 001 (CVPR, 2016)

Anticipating Visual Representations from Unlabeled Video. - Carl Vondrick; Hamed Pirsiavash; Antonio Torralba 001 (CVPR, 2016)

Generating Videos with Scene Dynamics. - Carl Vondrick; Hamed Pirsiavash; Antonio Torralba 001 (NIPS, 2016)

Visualizing Object Detection Features. - Carl Vondrick; Aditya Khosla; Hamed Pirsiavash; Tomasz Malisiewicz; Antonio Torralba 001 (Int. J. Comput. Vis., 2016)

Weakly Supervised Cascaded Convolutional Networks. - Ali Diba; Vivek Sharma 001; Ali Mohammad Pazandeh; Hamed Pirsiavash; Luc Van Gool (CVPR, 2017)

Representation Learning by Learning to Count. - Mehdi Noroozi; Hamed Pirsiavash; Paolo Favaro (ICCV, 2017)

Automated Detection of Substance Use-Related Social Media Posts Based on Image and Text Analysis. - Arpita Roy; Anamika Paul; Hamed Pirsiavash; Shimei Pan (ICTAI, 2017)

Boosting Self-Supervised Learning via Knowledge Transfer. - Mehdi Noroozi; Ananth Vinjimoor; Paolo Favaro; Hamed Pirsiavash (CVPR, 2018)

Towards Hiding Adversarial Examples from Network Interpretation. - Akshayvarun Subramanya; Vipin Pillai; Hamed Pirsiavash (CoRR, 2018)

Cross-Modal Scene Networks. - Yusuf Aytar; Lluís Castrejón; Carl Vondrick; Hamed Pirsiavash; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Fooling Network Interpretation in Image Classification. - Akshayvarun Subramanya; Vipin Pillai; Hamed Pirsiavash (ICCV, 2019)

Adversarial Patches Exploiting Contextual Reasoning in Object Detection. - Aniruddha Saha; Akshayvarun Subramanya; Koninika Patil; Hamed Pirsiavash (CoRR, 2019)

A simple baseline for domain adaptation using rotation prediction. - Ajinkya Tejankar; Hamed Pirsiavash (CoRR, 2019)

Hidden Trigger Backdoor Attacks. - Aniruddha Saha; Akshayvarun Subramanya; Hamed Pirsiavash (AAAI, 2020)

Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. - Soheil Kolouri; Aniruddha Saha; Hamed Pirsiavash; Heiko Hoffmann (CVPR, 2020)

Role of Spatial Context in Adversarial Robustness for Object Detection. - Aniruddha Saha; Akshayvarun Subramanya; Koninika Patil; Hamed Pirsiavash (CVPR Workshops, 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 (ICCD, 2020)

COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning. - Simon Ging; Mohammadreza Zolfaghari; Hamed Pirsiavash; Thomas Brox (NeurIPS, 2020)

CompRess: Self-Supervised Learning by Compressing Representations. - Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (NeurIPS, 2020)

Explainable Models with Consistent Interpretations. - Vipin Pillai; Hamed Pirsiavash (AAAI, 2021)

Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (BMVC, 2021)

Mean Shift for Self-Supervised Learning. - Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (ICCV, 2021)

ISD: Self-Supervised Learning by Iterative Similarity Distillation. - Ajinkya Tejankar; Soroush Abbasi Koohpayegani; Vipin Pillai; Paolo Favaro; Hamed Pirsiavash (ICCV, 2021)

Constrained Mean Shift for Representation Learning. - Ajinkya Tejankar; Soroush Abbasi Koohpayegani; Hamed Pirsiavash (CoRR, 2021)

A Simple Baseline for Low-Budget Active Learning. - Kossar Pourahmadi; Parsa Nooralinejad; Hamed Pirsiavash (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)

STAF: A Spatio-Temporal Attention Fusion Network for Few-shot Video Classification. - Rex Liu; Huanle Zhang; Hamed Pirsiavash; Xin Liu 002 (CoRR, 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)

Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations. - Ali Abbasi 008; Parsa Nooralinejad; Vladimir Braverman; Hamed Pirsiavash; Soheil Kolouri (CoLLAs, 2022)

Consistent Explanations by Contrastive Learning. - Vipin Pillai; Soroush Abbasi Koohpayegani; Ashley Ouligian; Dennis Fong; Hamed Pirsiavash (CVPR, 2022)

Backdoor Attacks on Self-Supervised Learning. - Aniruddha Saha; Ajinkya Tejankar; Soroush Abbasi Koohpayegani; Hamed Pirsiavash (CVPR, 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 (ECCV (11), 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 (ECCV (31), 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)

Amenable Sparse Network Investigator. - Saeed Damadi; Erfan Nouri; Hamed Pirsiavash (CoRR, 2022)

A Simple Approach to Adversarial Robustness in Few-shot Image Classification. - Akshayvarun Subramanya; Hamed Pirsiavash (CoRR, 2022)

PRANC: Pseudo RAndom Networks for Compacting deep models. - Parsa Nooralinejad; Ali Abbasi 008; Soheil Kolouri; Hamed Pirsiavash (CoRR, 2022)

Backdoor Attacks on Vision Transformers. - Akshayvarun Subramanya; Aniruddha Saha; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (CoRR, 2022)

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. - Ajinkya Tejankar; Maziar Sanjabi; Qifan Wang 001; Sinong Wang; Hamed Firooz; Hamed Pirsiavash; Liang Tan 005 (CVPR, 2023)

Is Multi-Task Learning an Upper Bound for Continual Learning? - Zihao Wu 003; Huy Tran; Hamed Pirsiavash; Soheil Kolouri (ICASSP, 2023)

PRANC: Pseudo RAndom Networks for Compacting deep models. - Parsa Nooralinejad; Ali Abbasi 008; Soroush Abbasi Koohpayegani; Kossar Pourahmadi Meibodi; Rana Muhammad Shahroz Khan; Soheil Kolouri; Hamed Pirsiavash (ICCV, 2023)

MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification. - Huanle Zhang; Hamed Pirsiavash; Xin Liu 002 (WACV, 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; et al. (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)

NOLA: Networks as Linear Combination of Low Rank Random Basis. - Soroush Abbasi Koohpayegani; K. L. Navaneet; Parsa Nooralinejad; Soheil Kolouri; 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)

Multi-Agent Lifelong Implicit Neural Learning. - Soheil Kolouri; Ali Abbasi 008; Soroush Abbasi Koohpayegani; Parsa Nooralinejad; Hamed Pirsiavash (IEEE Signal Process. Lett., 2023)

BrainWash: A Poisoning Attack to Forget in Continual Learning. - Ali Abbasi 008; Parsa Nooralinejad; Hamed Pirsiavash; Soheil Kolouri (CVPR, 2024)

SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Essam Sleiman; Hamed Pirsiavash (CVPR, 2024)

CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization. - K. L. Navaneet; Kossar Pourahmadi Meibodi; Soroush Abbasi Koohpayegani; Hamed Pirsiavash (ECCV (32), 2024)

NOLA: Compressing LoRA using Linear Combination of Random Basis. - Soroush Abbasi Koohpayegani; Navaneet K. L.; Parsa Nooralinejad; Soheil Kolouri; Hamed Pirsiavash (ICLR, 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 (ITC, 2024)

SimA: Simple Softmax-free Attention for Vision Transformers. - Soroush Abbasi Koohpayegani; Hamed Pirsiavash (WACV, 2024)

A Closer Look at Robustness of Vision Transformers to Backdoor Attacks. - Akshayvarun Subramanya; Soroush Abbasi Koohpayegani; Aniruddha Saha; Ajinkya Tejankar; Hamed Pirsiavash (WACV, 2024)

One Category One Prompt: Dataset Distillation using Diffusion Models. - Ali Abbasi 008; Ashkan Shahbazi; Hamed Pirsiavash; Soheil Kolouri (CoRR, 2024)

MCNC: Manifold Constrained Network Compression. - Chayne Thrash; Ali Abbasi 008; Parsa Nooralinejad; Soroush Abbasi Koohpayegani; Reed Andreas; Hamed Pirsiavash; Soheil Kolouri (CoRR, 2024)

MoIN: Mixture of Introvert Experts to Upcycle an LLM. - Ajinkya Tejankar; Navaneet K. L.; Ujjawal Panchal; Kossar Pourahmadi; Hamed Pirsiavash (CoRR, 2024)

Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation. - Ali Abbasi 008; Shima Imani; Chenyang An; Gayathri Mahalingam; Harsh Shrivastava 001; Maurice Diesendruck; Hamed Pirsiavash; Pramod Sharma; Soheil Kolouri (CoRR, 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; et al. (Nat. Mac. Intell., 2024)

MCNC: Manifold-Constrained Reparameterization for Neural Compression. - Chayne Thrash; Reed Andreas; Ali Abbasi 008; Parsa Nooralinejad; Soroush Abbasi Koohpayegani; Hamed Pirsiavash; Soheil Kolouri (ICLR, 2025)

GeNIe: Generative Hard Negative Images Through Diffusion. - Soroush Abbasi Koohpayegani; Anuj Singh; Navaneet K. L.; Hamed Pirsiavash; Hadi Jamali Rad (Trans. Mach. Learn. Res., 2025)

gen2seg: Generative Models Enable Generalizable Instance Segmentation. - Om Khangaonkar; Hamed Pirsiavash (CoRR, 2025)