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Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning
Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, and Liang Tan
International Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
[PDF]
[Code]
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Adaptive Inverse Transform Sampling For Efficient Vision Transformers
Mohsen Fayyaz*, Soroush Abbasi Koohpayegani*, Farnoush Rezaei Jafari*, Sunando Sengupta, Hamid Reza Vaezi Joze, Eric Sommerlade, Hamed Pirsiavash, Juergen Gall*equal contribution
European Conference on Computer Vision (ECCV), 2022 (Oral presentation).
[PDF]
[Supplementary]
[Poster]
[Video]
[Code]
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Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning
K L Navaneet*, Soroush Abbasi Koohpayegani*, Ajinkya Tejankar*, Kossar Pourahmadi Meibodi, Akshayvarun Subramanya, Hamed Pirsiavash*equal contribution
European Conference on Computer Vision (ECCV), 2022.
[PDF]
[Supplementary]
[Poster]
[Video]
[Slides]
[Code]
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Can we train vision and language zero-shot classification models without syntax?
Ajinkya Tejankar, Bichen Wu , Saining Xie , Madian Khabsa , Hamed Pirsiavash , and Hamed Firooz
In NeurIPS SSL Theory and Practice Workshop, 2022
[PDF]
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SimA: Simple Softmax-free Attention for Vision Transformers
Soroush Abbasi Koohpayegani, Hamed Pirsiavash
arXiv 2022.
[PDF]
[Code]
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PRANC: Pseudo RAndom Networks for Compacting deep models
Parsa Nooralinejad, Ali Abbasi, Soheil Kolouri, Hamed Pirsiavash
arXiv 2022.
[PDF]
[Code]
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Backdoor Attacks on Vision Transformers
Akshayvarun Subramanya, Aniruddha Saha, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
arXiv 2022.
[PDF]
[Code]
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A Simple Approach to Adversarial Robustness in Few-shot Image Classification
Akshayvarun Subramanya, Hamed Pirsiavash
ECCV 2022 Workshop on Adversarial Robustness in the Real World
[PDF]
[Code]
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A Simple Baseline for Low-Budget Active Learning
Kossar Pourahmadi, Parsa Nooralinejad, Hamed Pirsiavash
arXiv 2021.
[PDF]
[Code]
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Backdoor Attacks on Self-Supervised Learning
Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
International Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Oral presentation).
[PDF]
[Code]
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Consistent Explanations by Contrastive Learning
Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash
International Conference on Computer Vision and Pattern Recognition (CVPR) 2022.
[PDF]
[Code]
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SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation
KL Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
British Machine Vision Conference (BMVC) 2021.
[PDF]
[Code]
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Mean Shift for Self-Supervised Learning
Soroush Abbasi Koohpayegani*, Ajinkya Tejankar*, Hamed Pirsiavash*equal contribution
International Conference on Computer Vision (ICCV) 2021 (Oral presentation).
[PDF]
[Project page]
[Code]
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ISD: Self-Supervised Learning by Iterative Similarity Distillation
Ajinkya Tejankar*, Soroush Abbasi Koohpayegani*, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash
*equal contribution
International Conference on Computer Vision (ICCV) 2021.
[PDF]
[Project page]
[Code]
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Explainable Models with Consistent Interpretations
Vipin Pillai, Hamed Pirsiavash
35th AAAI Conference on Artificial Intelligence (AAAI) 2021.
[PDF]
[Code]
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CompRess: Self-Supervised Learning by Compressing Representations
Soroush Abbasi Koohpayegani*, Ajinkya Tejankar*, Hamed Pirsiavash*equal contribution
Neural Information Processing Systems (NeurIPS) 2020.
[PDF]
[Project page]
[Code]
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COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
Simon Ging*, Mohammadreza Zolfaghari*, Hamed Pirsiavash, Thomas Brox*equal contribution
Neural Information Processing Systems (NeurIPS) 2020.
[PDF]
[Code]
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Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
Soheil Kolouri*, Aniruddha Saha*, Hamed Pirsiavash†, Heiko Hoffmann† * and †: equal contribution
International Conference on Computer Vision and Pattern Recognition (CVPR) 2020 (oral).
[PDF]
[Code and dataset of models]
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Role of Spatial Context in Adversarial Robustness for Object Detection
Aniruddha Saha*, Akshayvarun Subramanya*, Koninika Patil, Hamed Pirsiavash*equal contribution
CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision, 2020.
[PDF]
[Code]
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Hidden-Trigger Backdoor Attacks
Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash
34th AAAI Conference on Artificial Intelligence (AAAI) 2020 (oral).
[PDF]
[Code]
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Fooling Network Interpretation in Image Classification
Akshayvarun Subramanya*, Vipin Pillai*, Hamed Pirsiavash *equal contribution
International Conference on Computer Vision (ICCV) 2019.
[PDF] [Code]
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Boosting Self-Supervised Learning via Knowledge Transfer
Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash
International Conference on Computer Vision and Pattern Recognition (CVPR) 2018.
[PDF]
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Canonical correlation analysis of brain prefrontal activity measured by functional near infra-red spectroscopy (fNIRS) during a moral judgment task
Hadis Dashtestani, Rachel Zaragoza, Hamed Pirsiavash, Kristine M. Knutson, Riley Kermanian, Joy Cui, J. Douglas Harrison Jr., Milton Halem, Amir Gandjbakhche
Behavioural Brain Research 2018.
[PDF]
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Cross-Modal Scene Networks
Yusuf Aytar*, Lluís Castrejón*, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba *equal contribution
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 2018.
[PDF] [Project page]
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Representation Learning by Learning to Count
Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro
International Conference on Computer Vision (ICCV) 2017 (oral).
[PDF]
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Weakly Supervised Cascaded Convolutional Networks
Ali Diba, Vivek Sharma, Ali Pazandeh, Hamed Pirsiavash, Luc Van Gool
International Conference on Computer Vision and Pattern Recognition (CVPR) 2017.
[PDF]
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Automated Detection of Substance Use-Related Social Media Posts Based on Image and Text Analysis
Arpita Roy, Anamika Rupa, Hamed Pirsiavash, Shimei Pan
IEEE International Conference on Tools for Artificial Intelligence (ICTAI), 2017. (Best Student Paper Award)
[PDF]
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Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks
Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka
International Conference on 3DVision (3DV), 2016.
[PDF]
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Learning Aligned Cross-Modal Representations from Weakly Aligned Data
Lluís Castrejón*, Yusuf Aytar*, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
International Conference on Computer Vision and Pattern Recognition (CVPR) 2016.
[PDF] [Project page] [Demo]
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Predicting Motivations of Actions by Leveraging Text
Carl Vondrick, Deniz Oktay, Hamed Pirsiavash, Antonio Torralba
International Conference on Computer Vision and Pattern Recognition (CVPR) 2016.
[PDF] [Data]
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DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns
Ali Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool
International Conference on Computer Vision and Pattern Recognition (CVPR) 2016.
[PDF]
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Visualizing Object Detection Features
Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba
International Journal of Computer Vision (IJCV) 2016.
[PDF] [Project page]
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Learning Visual Biases from Human Imagination
Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba
Neural Information Processing Systems (NeurIPS), 2015.
[PDF] [Project page]
Media coverage: Technology Review
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Assessing the Quality of Actions
Hamed Pirsiavash, Carl Vondrick, Antonio Torralba
European Conference on Computer Vision (ECCV), 2014.
[PDF] [Code + Dataset]
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Are All Training Examples Equally Valuable?
Agata Lapedriza, Hamed Pirsiavash, Zoya Bylinskii, Antonio Torralba
arXiv 2014.
[PDF]
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Parsing IKEA Objects: Fine Pose Estimation
Joseph Lim, Hamed Pirsiavash, Antonio Torralba
International Conference on Computer Vision (ICCV) 2013.
[PDF] [Data]
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Steerable Part Models
Hamed Pirsiavash, Deva Ramanan
International Conference on Computer Vision and Pattern Recognition (CVPR) 2012.
[PDF] [Slides PPT] [Poster PDF]
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Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects
Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes
International Conference on Computer Vision and Pattern Recognition (CVPR) 2011.
[PDF] [Code] [Slides (PPT)] [Slides (PDF)]
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A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video
Sangmin Oh et al.
International Conference on Computer Vision and Pattern Recognition (CVPR) 2011.
[PDF] [Project page]
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TalkMiner: A Lecture Webcast Search Engine
John Adcock, Matthew Cooper, Laurent Denoue, Hamed Pirsiavash, Lawrence Rowe
ACM Multimedia 2010.
[PDF] [www.talkminer.com]
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Opti-Acoustic Stereo Imaging: On System Calibration and 3-D Target Reconstruction
Shahriar Negahdaripour, Hicham Sekkati, Hamed Pirsiavash,
IEEE Transactions on Image Processing, Vol 18, Issue 6, Jun 2009, PP: 1203-1214.
[PDF]
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Towards Environment-to-Environment (E2E) Multimedia Communication Systems
Vivek Singh, Hamed Pirsiavash, Ish Rishabh, Ramesh Jain
Multimedia Tools and Applications Journal, Springer Netherlands, Vol 44, Num 3, pp 361-388, May 2009.
[PDF]
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Opti-Acoustic Stereo Imaging, System Calibration and 3-D Reconstruction
Shahriar Negahdaripour, Hicham Sekkati, Hamed Pirsiavash
Workshops of CVPR 2007 - Beyond Multiview Geometry. (Best Paper Award)
[PDF]
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