Hamed Pirsiavash


Associate Professor
Department of Computer Science
University of California, Davis

Office: Kemper Hall 3061
Email: hpirsiav AT ucdavis DOT edu

Curriculum Vitae

Google Scholar

Semantic Scholar

I am an associate professor at UC Davis studying computer vision and machine learning. Prior to this, I was an associate professor at UMBC and a postdoctoral research associate with Antonio Torralba at Massachusetts Institute of Technology (MIT). I graduated with a PhD in computer science from the University of California Irvine where I was advised by Deva Ramanan and co-advised by Ramesh Jain. I obtained my M.Sc. in electrical engineering at Sharif University of Technology in Tehran, Iran (map).

Community service:

  • Associate Editor for IET Computer Vision
  • Area chair for CVPR 2020, 2018, 2017
  • Area chair for ICPR 2020
  • Senior PC for AAAI 2018
  • Senior PC for IJCAI 2020, 2019

    Students:

  • Ajinkya Tejankar, PhD
  • Akshayvarun Subramanya, PhD
  • Aniruddha Saha, PhD
  • Navaneet Kadur, PhD
  • Rose Kunnappallil, MSc
  • Soroush Abbasi Koohpayegani, PhD
  • Vipin Pillai, PhD

    Alumni:

  • Ananth Vinjimoor, MSc
  • Erfan Noury, MSc
  • Koninika Patil, MSc
  • Kshipra Kode, MSc (Co-advised by Nilanjan Banerjee)
  • Maryam Esmaeilkhanian, MSc

    Selected Publications

    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]

    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]

    Backdoor Attacks on Self-Supervised Learning
    Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
    arXiv 2021.
    [PDF] [Code]

    Explainable Models with Consistent Interpretations
    Vipin Pillai, Hamed Pirsiavash
    35th AAAI Conference on Artificial Intelligence (AAAI) 2021.
    [PDF] [Code]

    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]

    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]

    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]

    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]

    Hidden-Trigger Backdoor Attacks
    Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash
    34th AAAI Conference on Artificial Intelligence (AAAI) 2020 (oral).
    [PDF] [Code]

    Fooling Network Interpretation in Image Classification
    Akshayvarun Subramanya*, Vipin Pillai*, Hamed Pirsiavash *equal contribution
    International Conference on Computer Vision (ICCV) 2019.
    [PDF] [Code]

    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]

    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]

    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]

    Representation Learning by Learning to Count
    Mehdi Noroozi, Hamed Pirsiavash, Paolo Favaro
    International Conference on Computer Vision (ICCV) 2017 (oral).
    [PDF]

    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]

    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]

    Generating Videos with Scene Dynamics
    Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
    Neural Information Processing Systems (NeurIPS), 2016.
    [PDF] [Project page] [Code]
    Media coverage: NBC News, Scientific American, New Scientist, MIT News

    Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks
    Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka
    International Conference on 3DVision (3DV), 2016.
    [PDF]

    Anticipating Visual Representations From Unlabeled Video
    Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
    International Conference on Computer Vision and Pattern Recognition (CVPR) 2016 (spotlight).
    [PDF] [Project page]
    Media coverage: Forbes, Wired, PopSci, CNN, NPR, Associated Press, Late Show with Stephen Colbert, MIT News

    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]

    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]

    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]

    Visualizing Object Detection Features
    Carl Vondrick, Aditya Khosla, Hamed Pirsiavash, Tomasz Malisiewicz, Antonio Torralba
    International Journal of Computer Vision (IJCV) 2016.
    [PDF] [Project page]

    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

    Assessing the Quality of Actions
    Hamed Pirsiavash, Carl Vondrick, Antonio Torralba
    European Conference on Computer Vision (ECCV), 2014.
    [PDF] [Code + Dataset]

    Parsing Videos of Actions with Segmental Grammars
    Hamed Pirsiavash, Deva Ramanan
    International Conference on Computer Vision and Pattern Recognition (CVPR) 2014 (oral).
    [PDF] [Slides PPT (80MB)]
    Media coverage: NBC News, WIRED-UK, GIGAOM, ScienceDaily, Technology Review, MIT News

    Are All Training Examples Equally Valuable?
    Agata Lapedriza, Hamed Pirsiavash, Zoya Bylinskii, Antonio Torralba
    arXiv 2014.
    [PDF]

    Parsing IKEA Objects: Fine Pose Estimation
    Joseph Lim, Hamed Pirsiavash, Antonio Torralba
    International Conference on Computer Vision (ICCV) 2013.
    [PDF] [Data]

    Detecting Activities of Daily Living in First-person Camera Views
    Hamed Pirsiavash, Deva Ramanan
    International Conference on Computer Vision and Pattern Recognition (CVPR) 2012 (oral).
    [PDF] [Slides PPT (53MB)] [Poster PDF] [Code + Dataset]

    Steerable Part Models
    Hamed Pirsiavash, Deva Ramanan
    International Conference on Computer Vision and Pattern Recognition (CVPR) 2012.
    [PDF] [Slides PPT] [Poster PDF]

    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)]

    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]

    TalkMiner: A Lecture Webcast Search Engine
    John Adcock, Matthew Cooper, Laurent Denoue, Hamed Pirsiavash, Lawrence Rowe
    ACM Multimedia 2010.
    [PDF] [www.talkminer.com]

    Bilinear Classifiers for Visual Recognition
    Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes
    Neural Information Processing Systems (NeurIPS 2009) (spotlight).
    [PDF] [Slides PPT] [slides PDF] [Poster PDF]

    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]

    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]

    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]


    Please check out the list of older publications.