Hamed Pirsiavash


Assistant Professor
Department of Computer Science and Electrical Engineering
University of Maryland, Baltimore County (UMBC)

Office: ITE 342
Email: hpirsiav AT umbc DOT edu

Curriculum Vitae

Google Scholar

Since fall 2015, I am an assistant professor at UMBC studying computer vision and machine learning. Prior to this, I was 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).

News

  • Our paper accepted to CVPR 2018.
  • I will be a senior PC member for AAAI 2018.
  • One paper accepted to PAMI.
  • One paper accepted at ICCV 2017.
  • I will be an area chair for CVPR 2018.
  • One paper accepted at ICTAI 2017 and won the best paper award.
  • One paper accepted at CVPR 2017.
  • I will be an area chair for CVPR 2017.
  • One paper accepted at 3DV 2016.
  • I will be an area chair for ICVGIP 2016.
  • One paper accepted at NIPS 2016.
  • Our work got some media coverage in Forbes, Wired, PopSci, CNN, NPR, Associated Press, and Stephen Colbert!
  • Four papers accepted at CVPR 2016.
  • One paper accepted at IJCV.
  • I joined UMBC as an assistant professor.
  • Selected Publications

    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]

    Cross-Modal Scene Networks
    Yusuf Aytar*, Lluís Castrejón*, Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
    IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 2017.
    [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 Paper Award)
    [PDF]

    Generating Videos with Scene Dynamics
    Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
    Neural Information Processing Systems (NIPS), 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 (NIPS), 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]

    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 (NIPS 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.