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2020 – today
- 2024
[j6]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:
A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 6(3): 251-264 (2024)- [c55]Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri:
BrainWash: A Poisoning Attack to Forget in Continual Learning. CVPR 2024: 24057-24066 - [c54]K. L. Navaneet, Soroush Abbasi Koohpayegani, Essam Sleiman, Hamed Pirsiavash:
SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers. CVPR 2024: 24786-24797 - [c53]Soroush Abbasi Koohpayegani, Navaneet K. L., Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash:
NOLA: Compressing LoRA using Linear Combination of Random Basis. ICLR 2024 - [c52]Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
SimA: Simple Softmax-free Attention for Vision Transformers. WACV 2024: 2595-2605 - [c51]Akshayvarun Subramanya, Soroush Abbasi Koohpayegani, Aniruddha Saha, Ajinkya Tejankar, Hamed Pirsiavash:
A Closer Look at Robustness of Vision Transformers to Backdoor Attacks. WACV 2024: 3862-3871 - [i47]Ali Abbasi, Ashkan Shahbazi, Hamed Pirsiavash, Soheil Kolouri:
One Category One Prompt: Dataset Distillation using Diffusion Models. CoRR abs/2403.07142 (2024) - [i46]Chayne Thrash, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Reed Andreas, Hamed Pirsiavash, Soheil Kolouri:
MCNC: Manifold Constrained Network Compression. CoRR abs/2406.19301 (2024) - 2023
- [j5]Soheil Kolouri, Ali Abbasi, Soroush Abbasi Koohpayegani, Parsa Nooralinejad, Hamed Pirsiavash:
Multi-Agent Lifelong Implicit Neural Learning. IEEE Signal Process. Lett. 30: 1812-1816 (2023) - [c50]Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan:
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CVPR 2023: 12239-12249 - [c49]Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri:
Is Multi-Task Learning an Upper Bound for Continual Learning? ICASSP 2023: 1-5 - [c48]Parsa Nooralinejad, Ali Abbasi, Soroush Abbasi Koohpayegani, Kossar Pourahmadi Meibodi, Rana Muhammad Shahroz Khan, Soheil Kolouri, Hamed Pirsiavash:
PRANC: Pseudo RAndom Networks for Compacting deep models. ICCV 2023: 16975-16985 - [c47]Huanle Zhang, Hamed Pirsiavash, Xin Liu:
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification. WACV 2023: 2507-2516 - [i45]Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan:
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CoRR abs/2304.01482 (2023) - [i44]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:
A Cookbook of Self-Supervised Learning. CoRR abs/2304.12210 (2023) - [i43]K. L. Navaneet, Soroush Abbasi Koohpayegani, Essam Sleiman, Hamed Pirsiavash:
SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers. CoRR abs/2310.02544 (2023) - [i42]Soroush Abbasi Koohpayegani, K. L. Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash:
NOLA: Networks as Linear Combination of Low Rank Random Basis. CoRR abs/2310.02556 (2023) - [i41]Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash, Soheil Kolouri:
BrainWash: A Poisoning Attack to Forget in Continual Learning. CoRR abs/2311.11995 (2023) - [i40]K. L. Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
Compact3D: Compressing Gaussian Splat Radiance Field Models with Vector Quantization. CoRR abs/2311.18159 (2023) - [i39]Soroush Abbasi Koohpayegani, Anuj Singh, K. L. Navaneet, Hadi Jamali Rad, Hamed Pirsiavash:
GeNIe: Generative Hard Negative Images Through Diffusion. CoRR abs/2312.02548 (2023) - 2022
- [c46]Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri:
Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations. CoLLAs 2022: 617-628 - [c45]Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash:
Consistent Explanations by Contrastive Learning. CVPR 2022: 10203-10212 - [c44]Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
Backdoor Attacks on Self-Supervised Learning. CVPR 2022: 13327-13336 - [c43]K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash:
Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning. ECCV (31) 2022: 23-41 - [c42]Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Sunando Sengupta, Hamid Reza Vaezi Joze, Eric Sommerlade, Hamed Pirsiavash, Jürgen Gall:
Adaptive Token Sampling for Efficient Vision Transformers. ECCV (11) 2022: 396-414 - [i38]K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. CoRR abs/2201.05131 (2022) - [i37]Saeed Damadi, Erfan Nouri, Hamed Pirsiavash:
Amenable Sparse Network Investigator. CoRR abs/2202.09284 (2022) - [i36]Ali Abbasi, Parsa Nooralinejad, Vladimir Braverman, Hamed Pirsiavash, Soheil Kolouri:
Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations. CoRR abs/2203.06514 (2022) - [i35]Akshayvarun Subramanya, Hamed Pirsiavash:
A Simple Approach to Adversarial Robustness in Few-shot Image Classification. CoRR abs/2204.05432 (2022) - [i34]Parsa Nooralinejad, Ali Abbasi, Soheil Kolouri, Hamed Pirsiavash:
PRANC: Pseudo RAndom Networks for Compacting deep models. CoRR abs/2206.08464 (2022) - [i33]Akshayvarun Subramanya, Aniruddha Saha, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
Backdoor Attacks on Vision Transformers. CoRR abs/2206.08477 (2022) - [i32]Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
SimA: Simple Softmax-free Attention for Vision Transformers. CoRR abs/2206.08898 (2022) - [i31]Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil Kolouri:
Is Multi-Task Learning an Upper Bound for Continual Learning? CoRR abs/2210.14797 (2022) - 2021
- [c41]Vipin Pillai, Hamed Pirsiavash:
Explainable Models with Consistent Interpretations. AAAI 2021: 2431-2439 - [c40]K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. BMVC 2021: 77 - [c39]Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash:
ISD: Self-Supervised Learning by Iterative Similarity Distillation. ICCV 2021: 9589-9598 - [c38]Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
Mean Shift for Self-Supervised Learning. ICCV 2021: 10306-10315 - [i30]Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
Mean Shift for Self-Supervised Learning. CoRR abs/2105.07269 (2021) - [i29]Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
Backdoor Attacks on Self-Supervised Learning. CoRR abs/2105.10123 (2021) - [i28]Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash:
Consistent Explanations by Contrastive Learning. CoRR abs/2110.00527 (2021) - [i27]Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash:
Constrained Mean Shift for Representation Learning. CoRR abs/2110.10309 (2021) - [i26]Kossar Pourahmadi, Parsa Nooralinejad, Hamed Pirsiavash:
A Simple Baseline for Low-Budget Active Learning. CoRR abs/2110.12033 (2021) - [i25]Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Eric Sommerlade, Hamid Reza Vaezi Joze, Hamed Pirsiavash, Juergen Gall:
ATS: Adaptive Token Sampling For Efficient Vision Transformers. CoRR abs/2111.15667 (2021) - [i24]Rex Liu, Huanle Zhang, Hamed Pirsiavash, Xin Liu:
STAF: A Spatio-Temporal Attention Fusion Network for Few-shot Video Classification. CoRR abs/2112.04585 (2021) - [i23]Ajinkya Tejankar, Soroush Abbasi Koohpayegani, K. L. Navaneet, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash:
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning. CoRR abs/2112.04607 (2021) - [i22]Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz:
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. CoRR abs/2112.13884 (2021) - 2020
- [c37]Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash:
Hidden Trigger Backdoor Attacks. AAAI 2020: 11957-11965 - [c36]Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann:
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CVPR 2020: 298-307 - [c35]Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash:
Role of Spatial Context in Adversarial Robustness for Object Detection. CVPR Workshops 2020: 3403-3412 - [c34]Md Toufiq Hasan Anik, Mohammad Ebrahimabadi, Hamed Pirsiavash, Jean-Luc Danger, Sylvain Guilley, Naghmeh Karimi:
On-Chip Voltage and Temperature Digital Sensor for Security, Reliability, and Portability. ICCD 2020: 506-509 - [c33]Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox:
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning. NeurIPS 2020 - [c32]Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
CompRess: Self-Supervised Learning by Compressing Representations. NeurIPS 2020 - [i21]Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash:
CompRess: Self-Supervised Learning by Compressing Representations. CoRR abs/2010.14713 (2020) - [i20]Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox:
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning. CoRR abs/2011.00597 (2020) - [i19]Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash:
ISD: Self-Supervised Learning by Iterative Similarity Distillation. CoRR abs/2012.09259 (2020)
2010 – 2019
- 2019
- [c31]Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash:
Fooling Network Interpretation in Image Classification. ICCV 2019: 2020-2029 - [i18]Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann:
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. CoRR abs/1906.10842 (2019) - [i17]Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash:
Hidden Trigger Backdoor Attacks. CoRR abs/1910.00033 (2019) - [i16]Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash:
Adversarial Patches Exploiting Contextual Reasoning in Object Detection. CoRR abs/1910.00068 (2019) - [i15]Ajinkya Tejankar, Hamed Pirsiavash:
A simple baseline for domain adaptation using rotation prediction. CoRR abs/1912.11903 (2019) - 2018
- [j4]Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Cross-Modal Scene Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2303-2314 (2018) - [c30]Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash:
Boosting Self-Supervised Learning via Knowledge Transfer. CVPR 2018: 9359-9367 - [i14]Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash:
Boosting Self-Supervised Learning via Knowledge Transfer. CoRR abs/1805.00385 (2018) - [i13]Akshayvarun Subramanya, Vipin Pillai, Hamed Pirsiavash:
Towards Hiding Adversarial Examples from Network Interpretation. CoRR abs/1812.02843 (2018) - 2017
- [c29]Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool:
Weakly Supervised Cascaded Convolutional Networks. CVPR 2017: 5131-5139 - [c28]Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro:
Representation Learning by Learning to Count. ICCV 2017: 5899-5907 - [c27]Arpita Roy, Anamika Paul, Hamed Pirsiavash, Shimei Pan:
Automated Detection of Substance Use-Related Social Media Posts Based on Image and Text Analysis. ICTAI 2017: 772-779 - [i12]Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro:
Representation Learning by Learning to Count. CoRR abs/1708.06734 (2017) - 2016
- [j3]Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba:
Visualizing Object Detection Features. Int. J. Comput. Vis. 119(2): 145-158 (2016) - [c26]Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka:
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks. 3DV 2016: 611-619 - [c25]Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Anticipating Visual Representations from Unlabeled Video. CVPR 2016: 98-106 - [c24]Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CVPR 2016: 2940-2949 - [c23]Carl Vondrick, Deniz Oktay, Hamed Pirsiavash, Antonio Torralba:
Predicting Motivations of Actions by Leveraging Text. CVPR 2016: 2997-3005 - [c22]Ali Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool:
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns. CVPR 2016: 3557-3565 - [c21]Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Generating Videos with Scene Dynamics. NIPS 2016: 613-621 - [i11]Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka:
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks. CoRR abs/1604.07480 (2016) - [i10]Lluís Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Learning Aligned Cross-Modal Representations from Weakly Aligned Data. CoRR abs/1607.07295 (2016) - [i9]Ali Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool:
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns. CoRR abs/1608.03217 (2016) - [i8]Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Generating Videos with Scene Dynamics. CoRR abs/1609.02612 (2016) - [i7]Yusuf Aytar, Lluís Castrejón, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Cross-Modal Scene Networks. CoRR abs/1610.09003 (2016) - [i6]Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool:
Weakly Supervised Cascaded Convolutional Networks. CoRR abs/1611.08258 (2016) - 2015
- [c20]Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba:
Learning visual biases from human imagination. NIPS 2015: 289-297 - [i5]Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba:
Visualizing Object Detection Features. CoRR abs/1502.05461 (2015) - [i4]Carl Vondrick, Hamed Pirsiavash, Antonio Torralba:
Anticipating the future by watching unlabeled video. CoRR abs/1504.08023 (2015) - 2014
- [c19]Hamed Pirsiavash, Deva Ramanan:
Parsing Videos of Actions with Segmental Grammars. CVPR 2014: 612-619 - [c18]Hamed Pirsiavash, Carl Vondrick, Antonio Torralba:
Assessing the Quality of Actions. ECCV (6) 2014: 556-571 - [i3]Hamed Pirsiavash, Carl Vondrick, Antonio Torralba:
Inferring the Why in Images. CoRR abs/1406.5472 (2014) - [i2]Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba:
Acquiring Visual Classifiers from Human Imagination. CoRR abs/1410.4627 (2014) - 2013
- [c17]Joseph J. Lim, Hamed Pirsiavash, Antonio Torralba:
Parsing IKEA Objects: Fine Pose Estimation. ICCV 2013: 2992-2999 - [i1]Àgata Lapedriza, Hamed Pirsiavash, Zoya Bylinskii, Antonio Torralba:
Are all training examples equally valuable? CoRR abs/1311.6510 (2013) - 2012
- [c16]Hamed Pirsiavash, Deva Ramanan:
Detecting activities of daily living in first-person camera views. CVPR 2012: 2847-2854 - [c15]Hamed Pirsiavash, Deva Ramanan:
Steerable part models. CVPR 2012: 3226-3233 - 2011
- [c14]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:
AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video. AVSS 2011: 527-528 - [c13]Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes:
Globally-optimal greedy algorithms for tracking a variable number of objects. CVPR 2011: 1201-1208 - [c12]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:
A large-scale benchmark dataset for event recognition in surveillance video. CVPR 2011: 3153-3160 - 2010
- [c11]John Adcock, Matthew Cooper, Laurent Denoue, Hamed Pirsiavash, Lawrence A. Rowe:
TalkMiner: a lecture webcast search engine. ACM Multimedia 2010: 241-250 - [c10]John Adcock, Matthew Cooper, Laurent Denoue, Hamed Pirsiavash, Lawrence A. Rowe:
TalkMiner: a search engine for online lecture video. ACM Multimedia 2010: 1507-1508
2000 – 2009
- 2009
- [j2]Vivek K. Singh, Hamed Pirsiavash, Ish Rishabh, Ramesh C. Jain:
Towards Environment-to-Environment (E2E) multimedia communication systems. Multim. Tools Appl. 44(3): 361-388 (2009) - [j1]Shahriar Negahdaripour, Hicham Sekkati, Hamed Pirsiavash:
Opti-Acoustic Stereo Imaging: On System Calibration and 3-D Target Reconstruction. IEEE Trans. Image Process. 18(6): 1203-1214 (2009) - [c9]Pinaki Sinha, Hamed Pirsiavash, Ramesh C. Jain:
Personal photo album summarization. ACM Multimedia 2009: 1131-1132 - [c8]Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes:
Bilinear classifiers for visual recognition. NIPS 2009: 1482-1490 - 2008
- [c7]Vivek K. Singh, Hamed Pirsiavash, Ish Rishabh, Ramesh C. Jain:
Towards environment-to-environment (E2E) multimedia communication systems. SAME 2008: 31-40 - 2007
- [c6]Shahriar Negahdaripour, Hamed Pirsiavash, Hicham Sekkati:
Integration of Motion Cues in Optical and Sonar Videos for 3-D Positioning. CVPR 2007 - [c5]Shahriar Negahdaripour, Hicham Sekkati, Hamed Pirsiavash:
Opti-Acoustic Stereo Imaging, System Calibration and 3-D Reconstruction. CVPR 2007 - 2006
- [c4]Amir Houmansadr, Hamed Pirsiavash, Shahrokh Ghaemmaghami:
Robust Content-Based Video Watermarking Exploiting Motion Entropy Masking Effect. SIGMAP 2006: 252-259 - 2005
- [c3]Hamed Pirsiavash, Mohammad Soleymani, Gholam-Ali Hossein-Zadeh:
An Iterative Approach for Reconstruction of Arbitrary Sparsely Sampled Magnetic Resonance Images. CBMS 2005: 27-32 - [c2]Hamed Pirsiavash, Ramin Mehran, Farbod Razzazi:
A Robust Free Size OCR for Omni-Font Persian/Arabic Printed Document Using Combined MLP/SVM. CIARP 2005: 601-610 - [c1]Ramin Mehran, Hamed Pirsiavash, Farbod Razzazi:
A Front-End OCR for Omni-Font Persian/Arabic Cursive Printed Documents. DICTA 2005: 56
Coauthor Index
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