Hamed Pirsiavash

120 papers A* 34A 6B 3C 2Misc 2Journal 61Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LaVR: Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large 4D Reconstruction Models. CoRR Mingyang Xie, Numair Khan, Tianfu Wang, Naina Dhingra, Seonghyeon Nam, Haitao Yang, Zhuo Hui, Christopher Metzler, Andrea Vedaldi, Hamed Pirsiavash, Lei Luo
2026	J	`jnl`	Sinkhorn-Drifting Generative Models. CoRR Ping He, Om Khangaonkar, Hamed Pirsiavash, Yikun Bai, Soheil Kolouri
2026	J	`jnl`	Vector-Quantized Soft Label Compression for Dataset Distillation. CoRR Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash, Soheil Kolouri
2025	A	`conf`	FAMOUS: Fault Attack Mitigation via Exploiting Invariances in Deep Neural Networks. ITC Javad Bahrami, Parsa Nooralinejad, Hamed Pirsiavash, Naghmeh Karimi
2025	J	`jnl`	GeNIe: Generative Hard Negative Images Through Diffusion. Trans. Mach. Learn. Res. Soroush Abbasi Koohpayegani, Anuj Singh, Navaneet K. L., Hamed Pirsiavash, Hadi Jamali Rad
2025	A*	`conf`	MCNC: Manifold-Constrained Reparameterization for Neural Compression. ICLR Chayne Thrash, Reed Andreas, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Hamed Pirsiavash, Soheil Kolouri
2025	J	`jnl`	The Path Not Taken: RLVR Provably Learns Off the Principals. CoRR Hanqing Zhu, Zhenyu Zhang, Hanxian Huang, DiJia Su, Zechun Liu, Jiawei Zhao, Igor Fedorov, Hamed Pirsiavash, Zhizhou Sha, Jinwon Lee, David Z. Pan, Zhangyang Wang, Yuandong Tian, Kai Sheng Tai
2025	J	`jnl`	gen2seg: Generative Models Enable Generalizable Instance Segmentation. CoRR Om Khangaonkar, Hamed Pirsiavash
2024	A	`conf`	A Closer Look at Robustness of Vision Transformers to Backdoor Attacks. WACV Akshayvarun Subramanya, Soroush Abbasi Koohpayegani, Aniruddha Saha, Ajinkya Tejankar, Hamed Pirsiavash
2024	J	`jnl`	A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 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
2024	A*	`conf`	BrainWash: A Poisoning Attack to Forget in Continual Learning. CVPR Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri
2024	—	`conf`	CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization. ECCV (32) K. L. Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
2024	J	`jnl`	Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation. CoRR Ali Abbasi, Shima Imani, Chenyang An, Gayathri Mahalingam, Harsh Shrivastava, Maurice Diesendruck, Hamed Pirsiavash, Pramod Sharma, Soheil Kolouri
2024	A	`conf`	FAT-RABBIT: Fault-Aware Training towards Robustness AgainstBit-flip Based Attacks in Deep Neural Networks. ITC Hossein Pourmehrani, Javad Bahrami, Parsa Nooralinejad, Hamed Pirsiavash, Naghmeh Karimi
2024	J	`jnl`	MCNC: Manifold Constrained Network Compression. CoRR Chayne Thrash, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Reed Andreas, Hamed Pirsiavash, Soheil Kolouri
2024	J	`jnl`	MoIN: Mixture of Introvert Experts to Upcycle an LLM. CoRR Ajinkya Tejankar, Navaneet K. L., Ujjawal Panchal, Kossar Pourahmadi, Hamed Pirsiavash
2024	A*	`conf`	NOLA: Compressing LoRA using Linear Combination of Random Basis. ICLR Soroush Abbasi Koohpayegani, Navaneet K. L., Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash
2024	J	`jnl`	One Category One Prompt: Dataset Distillation using Diffusion Models. CoRR Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash, Soheil Kolouri
2024	A	`conf`	SimA: Simple Softmax-free Attention for Vision Transformers. WACV Soroush Abbasi Koohpayegani, Hamed Pirsiavash
2024	A*	`conf`	SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers. CVPR K. L. Navaneet, Soroush Abbasi Koohpayegani, Essam Sleiman, Hamed Pirsiavash
2023	J	`jnl`	A Cookbook of Self-Supervised Learning. CoRR 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
2023	J	`jnl`	BrainWash: A Poisoning Attack to Forget in Continual Learning. CoRR Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri
2023	J	`jnl`	Compact3D: Compressing Gaussian Splat Radiance Field Models with Vector Quantization. CoRR K. L. Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
2023	A*	`conf`	Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CVPR Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
2023	J	`jnl`	Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CoRR Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
2023	J	`jnl`	GeNIe: Generative Hard Negative Images Through Diffusion. CoRR Soroush Abbasi Koohpayegani, Anuj Singh, K. L. Navaneet, Hadi Jamali Rad, Hamed Pirsiavash
2023	Misc	`conf`	Is Multi-Task Learning an Upper Bound for Continual Learning? ICASSP Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri
2023	A	`conf`	MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification. WACV Huanle Zhang, Hamed Pirsiavash, Xin Liu
2023	J	`jnl`	Multi-Agent Lifelong Implicit Neural Learning. IEEE Signal Process. Lett. Soheil Kolouri, Ali Abbasi, Soroush Abbasi Koohpayegani, Parsa Nooralinejad, Hamed Pirsiavash
2023	J	`jnl`	NOLA: Networks as Linear Combination of Low Rank Random Basis. CoRR Soroush Abbasi Koohpayegani, K. L. Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash
2023	A*	`conf`	PRANC: Pseudo RAndom Networks for Compacting deep models. ICCV Parsa Nooralinejad, Ali Abbasi, Soroush Abbasi Koohpayegani, Kossar Pourahmadi Meibodi, Rana Muhammad Shahroz Khan, Soheil Kolouri, Hamed Pirsiavash
2023	J	`jnl`	SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers. CoRR K. L. Navaneet, Soroush Abbasi Koohpayegani, Essam Sleiman, Hamed Pirsiavash
2022	J	`jnl`	A Simple Approach to Adversarial Robustness in Few-shot Image Classification. CoRR Akshayvarun Subramanya, Hamed Pirsiavash
2022	—	`conf`	Adaptive Token Sampling for Efficient Vision Transformers. ECCV (11) Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Sunando Sengupta, Hamid Reza Vaezi Joze, Eric Sommerlade, Hamed Pirsiavash, Jürgen Gall
2022	J	`jnl`	Amenable Sparse Network Investigator. CoRR Saeed Damadi, Erfan Nouri, Hamed Pirsiavash
2022	A*	`conf`	Backdoor Attacks on Self-Supervised Learning. CVPR Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
2022	J	`jnl`	Backdoor Attacks on Vision Transformers. CoRR Akshayvarun Subramanya, Aniruddha Saha, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2022	A*	`conf`	Consistent Explanations by Contrastive Learning. CVPR Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash
2022	—	`conf`	Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning. ECCV (31) K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash
2022	J	`jnl`	Is Multi-Task Learning an Upper Bound for Continual Learning? CoRR Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri
2022	J	`jnl`	PRANC: Pseudo RAndom Networks for Compacting deep models. CoRR Parsa Nooralinejad, Ali Abbasi, Soheil Kolouri, Hamed Pirsiavash
2022	J	`jnl`	SimA: Simple Softmax-free Attention for Vision Transformers. CoRR Soroush Abbasi Koohpayegani, Hamed Pirsiavash
2022	J	`jnl`	SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. CoRR K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2022	—	`conf`	Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations. CoLLAs Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri
2022	J	`jnl`	Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations. CoRR Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri
2021	J	`jnl`	A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. CoRR Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz
2021	J	`jnl`	A Simple Baseline for Low-Budget Active Learning. CoRR Kossar Pourahmadi, Parsa Nooralinejad, Hamed Pirsiavash
2021	J	`jnl`	ATS: Adaptive Token Sampling For Efficient Vision Transformers. CoRR Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Eric Sommerlade, Hamid Reza Vaezi Joze, Hamed Pirsiavash, Juergen Gall
2021	J	`jnl`	Backdoor Attacks on Self-Supervised Learning. CoRR Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
2021	J	`jnl`	Consistent Explanations by Contrastive Learning. CoRR Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash
2021	J	`jnl`	Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning. CoRR Ajinkya Tejankar, Soroush Abbasi Koohpayegani, K. L. Navaneet, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash
2021	J	`jnl`	Constrained Mean Shift for Representation Learning. CoRR Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
2021	A*	`conf`	Explainable Models with Consistent Interpretations. AAAI Vipin Pillai, Hamed Pirsiavash
2021	A*	`conf`	ISD: Self-Supervised Learning by Iterative Similarity Distillation. ICCV Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash
2021	A*	`conf`	Mean Shift for Self-Supervised Learning. ICCV Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2021	J	`jnl`	Mean Shift for Self-Supervised Learning. CoRR Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2021	A	`conf`	Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. BMVC K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2021	J	`jnl`	STAF: A Spatio-Temporal Attention Fusion Network for Few-shot Video Classification. CoRR Rex Liu, Huanle Zhang, Hamed Pirsiavash, Xin Liu
2020	A*	`conf`	COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning. NeurIPS Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox
2020	J	`jnl`	COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning. CoRR Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox
2020	A*	`conf`	CompRess: Self-Supervised Learning by Compressing Representations. NeurIPS Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2020	J	`jnl`	CompRess: Self-Supervised Learning by Compressing Representations. CoRR Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2020	A*	`conf`	Hidden Trigger Backdoor Attacks. AAAI Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash
2020	J	`jnl`	ISD: Self-Supervised Learning by Iterative Similarity Distillation. CoRR Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash
2020	C	`conf`	On-Chip Voltage and Temperature Digital Sensor for Security, Reliability, and Portability. ICCD Md Toufiq Hasan Anik, Mohammad Ebrahimabadi, Hamed Pirsiavash, Jean-Luc Danger, Sylvain Guilley, Naghmeh Karimi
2020	—	`conf`	Role of Spatial Context in Adversarial Robustness for Object Detection. CVPR Workshops Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash
2020	A*	`conf`	Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CVPR Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann
2019	J	`jnl`	A simple baseline for domain adaptation using rotation prediction. CoRR Ajinkya Tejankar, Hamed Pirsiavash
2019	J	`jnl`	Adversarial Patches Exploiting Contextual Reasoning in Object Detection. CoRR Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash
2019	A*	`conf`	Fooling Network Interpretation in Image Classification. ICCV Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash
2019	J	`jnl`	Hidden Trigger Backdoor Attacks. CoRR Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash
2019	J	`jnl`	Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CoRR Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann
2018	A*	`conf`	Boosting Self-Supervised Learning via Knowledge Transfer. CVPR Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash
2018	J	`jnl`	Boosting Self-Supervised Learning via Knowledge Transfer. CoRR Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash
2018	J	`jnl`	Cross-Modal Scene Networks. IEEE Trans. Pattern Anal. Mach. Intell. Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
2018	J	`jnl`	Towards Hiding Adversarial Examples from Network Interpretation. CoRR Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash
2017	B	`conf`	Automated Detection of Substance Use-Related Social Media Posts Based on Image and Text Analysis. ICTAI Arpita Roy, Anamika Paul, Hamed Pirsiavash, Shimei Pan
2017	A*	`conf`	Representation Learning by Learning to Count. ICCV Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro
2017	J	`jnl`	Representation Learning by Learning to Count. CoRR Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro
2017	A*	`conf`	Weakly Supervised Cascaded Convolutional Networks. CVPR Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool
2016	A*	`conf`	Anticipating Visual Representations from Unlabeled Video. CVPR Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
2016	J	`jnl`	Cross-Modal Scene Networks. CoRR Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
2016	A*	`conf`	DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns. CVPR Ali Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool
2016	J	`jnl`	DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns. CoRR Ali Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool
2016	—	`conf`	Generating Videos with Scene Dynamics. NIPS Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
2016	J	`jnl`	Generating Videos with Scene Dynamics. CoRR Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
2016	—	`conf`	Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks. 3DV Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka
2016	J	`jnl`	Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks. CoRR Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka
2016	A*	`conf`	Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CVPR Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
2016	J	`jnl`	Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CoRR Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
2016	A*	`conf`	Predicting Motivations of Actions by Leveraging Text. CVPR Carl Vondrick, Deniz Oktay, Hamed Pirsiavash, Antonio Torralba
2016	J	`jnl`	Visualizing Object Detection Features. Int. J. Comput. Vis. Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba
2016	J	`jnl`	Weakly Supervised Cascaded Convolutional Networks. CoRR Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool
2015	J	`jnl`	Anticipating the future by watching unlabeled video. CoRR Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
2015	—	`conf`	Learning visual biases from human imagination. NIPS Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba
2015	J	`jnl`	Visualizing Object Detection Features. CoRR Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba
2014	J	`jnl`	Acquiring Visual Classifiers from Human Imagination. CoRR Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba
2014	—	`conf`	Assessing the Quality of Actions. ECCV (6) Hamed Pirsiavash, Carl Vondrick, Antonio Torralba
2014	J	`jnl`	Inferring the Why in Images. CoRR Hamed Pirsiavash, Carl Vondrick, Antonio Torralba
2014	A*	`conf`	Parsing Videos of Actions with Segmental Grammars. CVPR Hamed Pirsiavash, Deva Ramanan
2013	J	`jnl`	Are all training examples equally valuable? CoRR Àgata Lapedriza, Hamed Pirsiavash, Zoya Bylinskii, Antonio Torralba
2013	A*	`conf`	Parsing IKEA Objects: Fine Pose Estimation. ICCV Joseph J. Lim, Hamed Pirsiavash, Antonio Torralba
2012	A*	`conf`	Detecting activities of daily living in first-person camera views. CVPR Hamed Pirsiavash, Deva Ramanan
2012	A*	`conf`	Steerable part models. CVPR Hamed Pirsiavash, Deva Ramanan
2011	A*	`conf`	A large-scale benchmark dataset for event recognition in surveillance video. CVPR 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
2011	B	`conf`	AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video. AVSS 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
2011	A*	`conf`	Globally-optimal greedy algorithms for tracking a variable number of objects. CVPR Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes
2010	A*	`conf`	TalkMiner: a lecture webcast search engine. ACM Multimedia John Adcock, Matthew Cooper, Laurent Denoue, Hamed Pirsiavash, Lawrence A. Rowe
2010	A*	`conf`	TalkMiner: a search engine for online lecture video. ACM Multimedia John Adcock, Matthew Cooper, Laurent Denoue, Hamed Pirsiavash, Lawrence A. Rowe
2009	—	`conf`	Bilinear classifiers for visual recognition. NIPS Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes
2009	J	`jnl`	Opti-Acoustic Stereo Imaging: On System Calibration and 3-D Target Reconstruction. IEEE Trans. Image Process. Shahriar Negahdaripour, Hicham Sekkati, Hamed Pirsiavash
2009	A*	`conf`	Personal photo album summarization. ACM Multimedia Pinaki Sinha, Hamed Pirsiavash, Ramesh C. Jain
2009	J	`jnl`	Towards Environment-to-Environment (E2E) multimedia communication systems. Multim. Tools Appl. Vivek K. Singh, Hamed Pirsiavash, Ish Rishabh, Ramesh C. Jain
2008	—	`conf`	Towards environment-to-environment (E2E) multimedia communication systems. SAME Vivek K. Singh, Hamed Pirsiavash, Ish Rishabh, Ramesh C. Jain
2007	A*	`conf`	Integration of Motion Cues in Optical and Sonar Videos for 3-D Positioning. CVPR Shahriar Negahdaripour, Hamed Pirsiavash, Hicham Sekkati
2007	A*	`conf`	Opti-Acoustic Stereo Imaging, System Calibration and 3-D Reconstruction. CVPR Shahriar Negahdaripour, Hicham Sekkati, Hamed Pirsiavash
2006	—	`conf`	Robust Content-Based Video Watermarking Exploiting Motion Entropy Masking Effect. SIGMAP Amir Houmansadr, Hamed Pirsiavash, Shahrokh Ghaemmaghami
2005	Misc	`conf`	A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents. DICTA Ramin Mehran, Hamed Pirsiavash, Farbod Razzazi
2005	C	`conf`	A Robust Free Size OCR for Omni-Font Persian/Arabic Printed Document Using Combined MLP/SVM. CIARP Hamed Pirsiavash, Ramin Mehran, Farbod Razzazi
2005	B	`conf`	An Iterative Approach for Reconstruction of Arbitrary Sparsely Sampled Magnetic Resonance Images. CBMS Hamed Pirsiavash, Mohammad Soleymani, Gholam-Ali Hossein-Zadeh