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Alexandre Alahi

Alexandre Alahi

Alexandre Alahi [6] is currently an Assistant Professor at EPFL.

He spent five years at Stanford University as a Post-doc and Research Scientist after obtaining his Ph.D. from EPFL.

His research enables machines to perceive the world and make decisions in the context of transportation problems and Smart Environments.

He has worked on the theoretical challenges and practical applications of socially-aware Artificial intelligence, i.e., systems equipped with perception and social intelligence. He was awarded the Swiss NSF [1] (Swiss National Science Foundation) early and advanced researcher grants for his work on predicting human social behavior. He won the CVPR Open Source Award (2012) for his work on Retina-inspired image descriptors, and the ICDSC Challenge Prize (2009) for his sparsity-driven Algorithm that has tracked more than 100 million pedestrians to date. (Description of the project below).

His research has been covered internationally by BBC, abc, PBS, Euronews, Wall Street Journal, and other national news outlets around the world.

Alexandre has also co-founded multiple startups such as Visiosafe, and won several startup competitions.

He was elected as one of the Top 20 Swiss Venture leaders in 2010.

Brief Biography

  • Assistant Professor at EPFL since September 2017.

  • Director of The VITA lab.

  • Research Scientist/Postdoc at Stanford Vision & CVG labs working with Prof. Fei-Fei Li and Prof. Silvio Savarese (from 2012-2017)

  • Over 30 publications, 3 patents, 3 book chapters, and over 10 awards

  • Ph.D. from EPFL advised by Prof. Pierre Vandergheynst and Prof. Murat Kunt (nominated for the EPFL Ph.D. prize in 2011)

  • BS+MS from EPFL

  • Awarded to study at Carnegie Mellon University for my Junior year

  • Co-Founded the Startup VisioSafe (in 2011), and currently advising several startups

  • Working experience at MERL and Logitech

Research overview

He works on the theoretical challenges and practical applications of socially-aware systems, i.e., machines that can not only perceive human behavior, but reason with social intelligence in the context of transportation problems and smart spaces.

He envisions a future where intelligent machines are ubiquitous, where Self-driving cars, delivery robots, and self-moving Segways are facts of everyday life. Beyond embodied agents, we will also see our living spaces – our homes, buildings, and cities – become equipped with ambient intelligence which can sense and respond to human behavior. However, to realize this future, intelligent machines need to develop social intelligence and the ability to make safe and consistent decisions in unconstrained crowded social scenes. Self-driving vehicles must learn social etiquettes in order to navigate cities like Paris or Naples. Social robots need to comply with Social conventions and obey (unwritten) common-sense rules to effectively operate in crowded terminals. For instance, they need to respect personal space, yield right-of-way, and “read” the behavior of others to predict future actions.

His research is centered around understanding and predicting human social behavior with multi-modal visual data.

His work spans multiple aspects of socially-aware systems: from 1- collecting over 100 million human walking trajectories in crowds with one of the largest networks of multi-modal sensors (more than 130 RGB/Thermal/Depth cameras), 2- developing sparsity-driven algorithms that can perceive and reason in real-time, 3- designing deep learning methods that can learn to predict human social behavior in a fully data-driven way, to 4- integrating the developed methods in real-world systems such as JackRabbot, a socially-aware robot that navigates crowded social scenes.

His research is at the intersection of:

  • Machine Learning

  • Computer Vision

  • Human-Robot Interaction

  • Signal Processing

His interests are:

  • Deep learning

  • Representation Learning

  • Multi-modal processing

  • Sparse approximation

He aims to reshape the future of:

  • Transportation systems

  • Mobility

  • Ambient Intelligence

  • Smart spaces

Sparsity-driven algorithm Abstract:

media

media

Over the past sixty years, Intelligent Machines have made great progress in playing games, tagging images in isolation, and recently making decisions for Self-driving vehicles. Despite these advancements, they are still far from making decisions in social scenes and assisting humans in public spaces such as terminals, malls, campuses, or any crowded urban environment. To overcome these limitations, we need to empower machines with social intelligence, i.e., the ability to get along well with others and facilitate mutual cooperation. This is crucial to design smart spaces that adapt to the behavior of humans for efficiency, or develop autonomous machines that assist in crowded public spaces (e.g., delivery robots, or self-navigating segways).

In this talk, he will present his work towards socially-aware machines that can understand human social dynamics and learn to forecast them.

First, he will highlight the machine vision techniques behind understanding the behavior of more than 100 million individuals captured by Multi-modal cameras in urban spaces. He will show how to use sparsity promoting priors to extract meaningful information about human behavior from an overwhelming volume of high dimensional and high entropy data. Second, he will introduce a new deep learning method to forecast human social behavior. The causality behind human behavior is an interplay between both observable and non-observable cues (e.g., intentions). For instance, when humans walk into crowded urban environments such as a busy train terminal, they obey a large number of (unwritten) common sense rules and comply with social conventions. They typically avoid crossing groups and keep a personal distance to their surrounding. he will present detailed insights on how to learn these interactions from millions of trajectories. He will describe a new recurrent neural network that can jointly reason on correlated sequences and simulate human trajectories in crowded scenes. It opens new avenues of research in learning the causalities behind the world we observe.

Awards

Research awards

  • 2009 -ICDSC Challenge prize Winner

  • 2011 -EPFL Ph.D. nominated for the EPFL prize (top 5% of university)

  • 2012 -CVPR Winner of the Open Source Award

  • 2013 -Swiss NSF Researcher award (18 months fund)

  • 2014 -Swiss NSF Advanced researcher award (12 months fund)

Entrepreneurial awards

2014 -LDV Winner of the startup competition + entrepeneurial challenge

2014 -AVF Alpine venture forum winner

2012 -PTE Winner of elevator pitch competition

2010 -Boston Pitch Fest Ranked 1st out of the top 20 venture leaders

2010 -Venture Leaders Selected as the top 20 Swiss leaders of the year

2009 -Venture kick Winner of the 1st phase

Publications.

  1. Coscia; f. Castaldo; f. Palmieri; A. Alahi; S. Savarese et al.: Long-term path prediction in urban scenarios using circular distributions; Image and Vision Computing. 2018.

  2. Gupta; j. Johnson; l. Fei-Fei; S. Savarese; A. Alahi: Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks. 2018. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt lake city, June 18-22.

  3. Fernández Antolín: Dealing with Correlations in Discrete Choice Models. Lausanne, EPFL, 2018. DOI: 10.5075/epfl-thesis-8170.

  1. Bianconi; R. Mehra; S. Yeung; F. Salipur; J. Jopling et al.: Vision-Based Prediction of ICU Mobility Care Activities using Recurrent Neural Networks; NIPS workshop on Machine Learning for Health, 2017-12-08.

  2. Guo; A. Haque; s. Yeung; J. Jopling; L. Downing et al.: Viewpoint Invariant Convolutional Networks for Identifying Risky Hand Hygiene Scenarios; Workshop at NIPS on Machine Learning for Health.

  3. Alahi; J. Wilson; L. Fei-Fei; S. Savarese: Unsupervised Camera Localization in Crowded Spaces. 2017. IEEE International Conference on Robotics and Automation (ICRA), Singapore, May 29 - June 3, 2017.

-

  1. Alahi; V. Ramanathan; K. Goel; A. Robicquet; A. Sadeghian et al.: Learning to Predict Human Behavior in Crowded Scenes; Group and Crowd Behavior for Computer Vision; Elsevier, 2017. p. 183-207.

- -

  1. Alahi; V. Ramanathan; L. Fei-Fei: Tracking millions of humans; Group and Crowd Behavior for Computer Vision; Elsevier, 2017. p. 115-135.

- -

  1. Nakamura; S. Yeung; A. Alahi; L. Fei-Fei: Jointly Learning Energy Expenditures and Activities using Egocentric Multimodal Signals. 2017. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, July 21-26, 2017.

-

  1. Bagautdinov; A. Alahi; F. Fleuret; P. Fua; S. Savarese: Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition. 2017. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, July 21-26, 2017. p. 3425-3434. DOI: 10.1109/Cvpr.2017.365.

- -

  1. Luo; B. Peng; D.-A. Huang; A. Alahi; L. Fei-Fei: Unsupervised Learning of Long-Term Motion Dynamics for Videos. 2017. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, July 21-26, 2017.

-

  1. Haque; M. Guo; A. Alahi; S. Yeung; Z. Luo et al.: Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance. 2017. Machine Learning for Healthcare (MLHC), Northeastern University, Massachusetts, August 18- 19, 2017.

-

  1. Gupta; J. Johnson; A. Alahi; L. Fei-Fei: Characterizing and Improving Stability in Neural Style Transfer. 2017. International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017.

-

  1. Sadeghian; A. Alahi; S. Savarese: Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies. 2017. International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017.

-

  1. Yeung; A. Alahi; A. Haque; Z. Luo; B. Peng et al.: Vision-Based Hand Hygiene Monitoring in Hospitals; American Medical Informatics Association (AMIA) Symposium, 2016.

-

  1. Alahi; K. Goel; V. Ramanathan; A. Robicquet; L. Fei-Fei et al.: Social LSTM: Human Trajectory Prediction in Crowded Spaces. 2016. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 27-30 June 2016. p. 961-971. DOI: 10.1109/CVPR.2016.110.

- -

  1. Haque; A. Alahi; L. Fei-Fei: Recurrent Attention Models for Depth-Based Person Identification. 2016. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 27-30 June, 2016. p. 1229-1238. DOI: 10.1109/CVPR.2016.138.

- -

  1. Coscia; F. Castaldo; F. A. N. Palmieri; L. Ballan; A. Alahi et al.: Point-based Path Prediction from Polar Histograms. 2016. p. 1961-1967.

-

  1. Robicquet; A. Sadeghian; A. Alahi; S. Savarese: Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes. 2016. p. 549-565. DOI: 10.1007/978-3-319-46484-8_33.

- -

  1. Haque; B. Peng; Z. Luo; A. Alahi; S. Yeung et al.: Towards Viewpoint Invariant 3D Human Pose Estimation. 2016. p. 160-177. DOI: 10.1007/978-3-319-46448-0_10.

- -

  1. Ballan; F. Castaldo; A. Alahi; F. Palmieri; S. Savarese: Knowledge Transfer for Scene-specific Motion Prediction. 2016. European Conference on Computer Vision (ECCV). p. 697-713. DOI: 10.1007/978-3-319-46448-0_42.

- -

  1. Johson; A. Alahi; L. Fei-Fei: Perceptual Losses for Real-Time Style Transfer and Super-Resolution. 2016. European Conference on Computer Vision (ECCV). p. 694-711. DOI: 10.1007/978-3-319-46475-6_43.

- -

  1. Xiang; A. Alahi; S. Savarese: Learning to Track: Online Multi-object Tracking by Decision Making. 2015. IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 7-13 December 2015. p. 4705-4713. DOI: 10.1109/ICCV.2015.534.

- -

  1. Alahi; A. Haque; L. Fei-Fei: RGB-W: When Vision Meets Wireless. 2015. IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 7-13 December 2015. p. 3289-3297. DOI: 10.1109/ICCV.2015.376.

- -

  1. Alahi; G. Goetz; E. D’Angelo: Biologically Inspired Keypoints; Biologically Inspired Computer Vision: Fundamentals and Applications; Wiley, 2015. p. 347-374.

-

  1. Alahi; V. Ramanathan; L. Fei-Fei: Socially-Aware Large-Scale Crowd Forecasting. 2014. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, OH, USA, 23-28 June 2014. p. 2211-2218. DOI: 10.1109/CVPR.2014.283.

- -

  1. Alahi; M. Golbabaee; P. Vandergheynst; Method and system for automatic objects localization. US2014254875; US8749630; EP2386981; US2011279685; EP2386981. 2014.

  2. Alahi; P. Vandergheynst; K. Benzi; System and method for media library navigation and recommendation. WO2014002064. 2014.

  3. Alahi; M. Bierlaire; P. Vandergheynst: Robust Real-time Pedestrians Detection in Urban Environments with a Network of Low Resolution Cameras; Transportation Research Part C: Emerging Technologies. 2014. DOI: 10.1016/j.trc.2013.11.019.

-

  1. D'Angelo; L. Jacques; A. Alahi; P. Vandergheynst: From Bits to Images: Inversion of Local Binary Descriptors; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2014. DOI: 10.1109/TPAMI.2013.228.

- -

  1. D'Angelo; A. Alahi; P. Vandergheynst: Beyond Bits: Reconstructing Images from Local Binary Descriptors. 2012. 21st International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012.

-

  1. Alahi; L. Bagnato; D. Matti; P. Vandergheynst: Foreground Silhouette Extraction robust to Sudden Changes of background Appearance. 2012. IEEE International conference on Image Processing, Orlando, Florida, USA, September 30 - October 3, 2012. DOI: 10.1109/ICIP.2012.6467088.

- -

  1. Alahi; R. Ortiz; P. Vandergheynst: FREAK: Fast Retina Keypoint. 2012. IEEE Conference on Computer Vision and Pattern Recognition, Rhode Island, Providence, USA, June 16-21, 2012.

-

  1. Golbabaee; A. Alahi; P. Vandergheynst: SCOOP: A Real-Time Sparsity Driven People Localization Algorithm; Journal Of Mathematical Imaging And Vision. 2012. DOI: 10.1007/s10851-012-0405-4.

- -

  1. Alahi: Vision-Based Scene Understanding with Sparsity Promoting Priors. Lausanne, EPFL, 2011. DOI: 10.5075/epfl-thesis-5070.

- -

  1. Alahi; L. Jacques; Y. Boursier; P. Vandergheynst: Sparsity Driven People Localization with a Heterogeneous Network of Cameras; Journal of Mathematical Imaging and Vision. 2011. DOI: 10.1007/s10851-010-0258-7.

- -

  1. Alahi; M. Golbabaee; P. Vandergheynst; Method and system for automatic objects localization. 2010US-12/779547. 2010.

  2. Domingues; A. Alahi; P. Vandergheynst: Stream Carving: an Adaptive Seam Carving Algorithm. 2010. International conference on Image Processing, Honk hong, September 26-29, 2010. p. 901-904. DOI: 10.1109/ICIP.2010.5653984.

-

  1. Alahi; P. Vandergheynst; M. Bierlaire; M. Kunt: Cascade of Descriptors to Detect and Track Objects Across Any Network of Cameras; Computer Vision and Image Understanding. 2010. DOI: 10.1016/j.cviu.2010.01.004.

- -

  1. Alahi; L. Jacques; Y. Boursier; P. Vandergheynst: Sparsity-driven People Localization Algorithm: Evaluation in Crowded Scenes Environments. 2009. IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Snowbird, Utah, December 7-10, 2009. DOI: 10.1109/PETS-WINTER.2009.5399487.

-

  1. Alahi; P. Vandergheynst; M. Bierlaire; M. Kunt: A Master-Slave Approach to Detect and Match Objects Across Several Uncalibrated Moving Cameras. 2009.

-

  1. Alahi; Y. Boursier; L. Jacques; P. Vandergheynst: Sport Players Detection and Tracking With a Mixed Network of Planar and Omnidirectional Cameras. 2009. Third ACM/IEEE International Conference on Distributed Smart Cameras, Como, 30 August - 2 September, 2009. DOI: 10.1109/ICDSC.2009.5289406.

- -

  1. Alahi; Y. Boursier; L. Jacques; P. Vandergheynst: A Sparsity Constrained Inverse Problem to Locate People in a Network of Cameras. 2009. 16th International Conference on Digital Signal Processing, Aegean island of Santorini, Greece, July 5-7, 2009. DOI: 10.1109/ICDSP.2009.5201223.

- -

  1. Azarbayejani; A. Alahi; M. Erdem; System and Method for Measuring Performances of Surveillance Systems. US7415385; JP2008165740; US2008126031. 2008.

  2. Alahi; M. Bierlaire; M. Kunt: Combination of Fixed and Mobile Cameras for Automatic Pedestrian Detection. 2008.

-

  1. Alahi; M. Bierlaire; M. Kunt: Object Detection and Matching with Mobile Cameras Collaborating with Fixed Cameras. 2008. European Conference on Computer Vision, Marseille, France, October 18, 2008.

-

  1. Alahi; P. Vandergheynst; M. Bierlaire; M. Kunt: Object Detection and Matching in a Mixed Network of Fixed and Mobile Cameras. 2008. ACM International Conference on Multimedia, Vancouver, Canada, October 31, 2008. DOI: 10.1145/1463542.1463545.

- -

  1. Alahi; D. Marimon; M. Bierlaire; M. Kunt: A Master-Slave Approach for Object Detection and Matching with Fixed and Mobile Cameras. 2008. 15th IEEE International Conference on Image Processing, San Diego, USA, October 12-15, 2008. p. 1712-1715. DOI: 10.1109/ICIP.2008.4712104.

- -

Infoscience

  1. Coscia; f. Castaldo; f. Palmieri; A. Alahi; S. Savarese et al.: Long-term path prediction in urban scenarios using circular distributions; Image and Vision Computing. 2018.

  2. Gupta; j. Johnson; l. Fei-Fei; S. Savarese; A. Alahi: Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks. 2018. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt lake city, June 18-22.

  3. Fernández Antolín: Dealing with Correlations in Discrete Choice Models. Lausanne, EPFL, 2018. DOI: 10.5075/epfl-thesis-8170.

- -

  1. Bianconi; R. Mehra; S. Yeung; F. Salipur; J. Jopling et al.: Vision-Based Prediction of ICU Mobility Care Activities using Recurrent Neural Networks; NIPS workshop on Machine Learning for Health, 2017-12-08.

  2. Guo; A. Haque; s. Yeung; J. Jopling; L. Downing et al.: Viewpoint Invariant Convolutional Networks for Identifying Risky Hand Hygiene Scenarios; Workshop at NIPS on Machine Learning for Health.

  3. Alahi; J. Wilson; L. Fei-Fei; S. Savarese: Unsupervised Camera Localization in Crowded Spaces. 2017. IEEE International Conference on Robotics and Automation (ICRA), Singapore, May 29 - June 3, 2017.

-

  1. Alahi; V. Ramanathan; K. Goel; A. Robicquet; A. Sadeghian et al.: Learning to Predict Human Behavior in Crowded Scenes; Group and Crowd Behavior for Computer Vision; Elsevier, 2017. p. 183-207.

- -

  1. Alahi; V. Ramanathan; L. Fei-Fei: Tracking millions of humans; Group and Crowd Behavior for Computer Vision; Elsevier, 2017. p. 115-135.

- -

  1. Nakamura; S. Yeung; A. Alahi; L. Fei-Fei: Jointly Learning Energy Expenditures and Activities using Egocentric Multimodal Signals. 2017. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, July 21-26, 2017.

-

  1. Bagautdinov; A. Alahi; F. Fleuret; P. Fua; S. Savarese: Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition. 2017. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, July 21-26, 2017. p. 3425-3434. DOI: 10.1109/Cvpr.2017.365.

- -

  1. Luo; B. Peng; D.-A. Huang; A. Alahi; L. Fei-Fei: Unsupervised Learning of Long-Term Motion Dynamics for Videos. 2017. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, July 21-26, 2017.

-

  1. Haque; M. Guo; A. Alahi; S. Yeung; Z. Luo et al.: Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance. 2017. Machine Learning for Healthcare (MLHC), Northeastern University, Massachusetts, August 18- 19, 2017.

-

  1. Gupta; J. Johnson; A. Alahi; L. Fei-Fei: Characterizing and Improving Stability in Neural Style Transfer. 2017. International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017.

-

  1. Sadeghian; A. Alahi; S. Savarese: Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies. 2017. International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017.

-

  1. Yeung; A. Alahi; A. Haque; Z. Luo; B. Peng et al.: Vision-Based Hand Hygiene Monitoring in Hospitals; American Medical Informatics Association (AMIA) Symposium, 2016.

-

  1. Alahi; K. Goel; V. Ramanathan; A. Robicquet; L. Fei-Fei et al.: Social LSTM: Human Trajectory Prediction in Crowded Spaces. 2016. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 27-30 June 2016. p. 961-971. DOI: 10.1109/CVPR.2016.110.

- -

  1. Haque; A. Alahi; L. Fei-Fei: Recurrent Attention Models for Depth-Based Person Identification. 2016. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, 27-30 June, 2016. p. 1229-1238. DOI: 10.1109/CVPR.2016.138.

- -

  1. Coscia; F. Castaldo; F. A. N. Palmieri; L. Ballan; A. Alahi et al.: Point-based Path Prediction from Polar Histograms. 2016. p. 1961-1967.

-

  1. Robicquet; A. Sadeghian; A. Alahi; S. Savarese: Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes. 2016. p. 549-565. DOI: 10.1007/978-3-319-46484-8_33.

- -

  1. Haque; B. Peng; Z. Luo; A. Alahi; S. Yeung et al.: Towards Viewpoint Invariant 3D Human Pose Estimation. 2016. p. 160-177. DOI: 10.1007/978-3-319-46448-0_10.

- -

  1. Ballan; F. Castaldo; A. Alahi; F. Palmieri; S. Savarese: Knowledge Transfer for Scene-specific Motion Prediction. 2016. European Conference on Computer Vision (ECCV). p. 697-713. DOI: 10.1007/978-3-319-46448-0_42.

- -

  1. Johson; A. Alahi; L. Fei-Fei: Perceptual Losses for Real-Time Style Transfer and Super-Resolution. 2016. European Conference on Computer Vision (ECCV). p. 694-711. DOI: 10.1007/978-3-319-46475-6_43.

- -

  1. Xiang; A. Alahi; S. Savarese: Learning to Track: Online Multi-object Tracking by Decision Making. 2015. IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 7-13 December 2015. p. 4705-4713. DOI: 10.1109/ICCV.2015.534.

- -

  1. Alahi; A. Haque; L. Fei-Fei: RGB-W: When Vision Meets Wireless. 2015. IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 7-13 December 2015. p. 3289-3297. DOI: 10.1109/ICCV.2015.376.

- -

  1. Alahi; G. Goetz; E. D’Angelo: Biologically Inspired Keypoints; Biologically Inspired Computer Vision: Fundamentals and Applications; Wiley, 2015. p. 347-374.

-

  1. Alahi; V. Ramanathan; L. Fei-Fei: Socially-Aware Large-Scale Crowd Forecasting. 2014. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, OH, USA, 23-28 June 2014. p. 2211-2218. DOI: 10.1109/CVPR.2014.283.

- -

  1. Alahi; M. Golbabaee; P. Vandergheynst; Method and system for automatic objects localization. US2014254875; US8749630; EP2386981; US2011279685; EP2386981. 2014.

  2. Alahi; P. Vandergheynst; K. Benzi; System and method for media library navigation and recommendation. WO2014002064. 2014.

  3. Alahi; M. Bierlaire; P. Vandergheynst: Robust Real-time Pedestrians Detection in Urban Environments with a Network of Low Resolution Cameras; Transportation Research Part C: Emerging Technologies. 2014. DOI: 10.1016/j.trc.2013.11.019.

-

  1. D'Angelo; L. Jacques; A. Alahi; P. Vandergheynst: From Bits to Images: Inversion of Local Binary Descriptors; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2014. DOI: 10.1109/TPAMI.2013.228.

- -

  1. D'Angelo; A. Alahi; P. Vandergheynst: Beyond Bits: Reconstructing Images from Local Binary Descriptors. 2012. 21st International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012.

-

  1. Alahi; L. Bagnato; D. Matti; P. Vandergheynst: Foreground Silhouette Extraction robust to Sudden Changes of background Appearance. 2012. IEEE International conference on Image Processing, Orlando, Florida, USA, September 30 - October 3, 2012. DOI: 10.1109/ICIP.2012.6467088.

- -

  1. Alahi; R. Ortiz; P. Vandergheynst: FREAK: Fast Retina Keypoint. 2012. IEEE Conference on Computer Vision and Pattern Recognition, Rhode Island, Providence, USA, June 16-21, 2012.

-

  1. Golbabaee; A. Alahi; P. Vandergheynst: SCOOP: A Real-Time Sparsity Driven People Localization Algorithm; Journal Of Mathematical Imaging And Vision. 2012. DOI: 10.1007/s10851-012-0405-4.

- -

  1. Alahi: Vision-Based Scene Understanding with Sparsity Promoting Priors. Lausanne, EPFL, 2011. DOI: 10.5075/epfl-thesis-5070.

- -

  1. Alahi; L. Jacques; Y. Boursier; P. Vandergheynst: Sparsity Driven People Localization with a Heterogeneous Network of Cameras; Journal of Mathematical Imaging and Vision. 2011. DOI: 10.1007/s10851-010-0258-7.

- -

  1. Alahi; M. Golbabaee; P. Vandergheynst; Method and system for automatic objects localization. 2010US-12/779547. 2010.

  2. Domingues; A. Alahi; P. Vandergheynst: Stream Carving: an Adaptive Seam Carving Algorithm. 2010. International conference on Image Processing, Honk hong, September 26-29, 2010. p. 901-904. DOI: 10.1109/ICIP.2010.5653984.

-

  1. Alahi; P. Vandergheynst; M. Bierlaire; M. Kunt: Cascade of Descriptors to Detect and Track Objects Across Any Network of Cameras; Computer Vision and Image Understanding. 2010. DOI: 10.1016/j.cviu.2010.01.004.

- -

  1. Alahi; L. Jacques; Y. Boursier; P. Vandergheynst: Sparsity-driven People Localization Algorithm: Evaluation in Crowded Scenes Environments. 2009. IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Snowbird, Utah, December 7-10, 2009. DOI: 10.1109/PETS-WINTER.2009.5399487.

-

  1. Alahi; P. Vandergheynst; M. Bierlaire; M. Kunt: A Master-Slave Approach to Detect and Match Objects Across Several Uncalibrated Moving Cameras. 2009.

-

  1. Alahi; Y. Boursier; L. Jacques; P. Vandergheynst: Sport Players Detection and Tracking With a Mixed Network of Planar and Omnidirectional Cameras. 2009. Third ACM/IEEE International Conference on Distributed Smart Cameras, Como, 30 August - 2 September, 2009. DOI: 10.1109/ICDSC.2009.5289406.

- -

  1. Alahi; Y. Boursier; L. Jacques; P. Vandergheynst: A Sparsity Constrained Inverse Problem to Locate People in a Network of Cameras. 2009. 16th International Conference on Digital Signal Processing, Aegean island of Santorini, Greece, July 5-7, 2009. DOI: 10.1109/ICDSP.2009.5201223.

- -

  1. Azarbayejani; A. Alahi; M. Erdem; System and Method for Measuring Performances of Surveillance Systems. US7415385; JP2008165740; US2008126031. 2008.

  2. Alahi; M. Bierlaire; M. Kunt: Combination of Fixed and Mobile Cameras for Automatic Pedestrian Detection. 2008.

-

  1. Alahi; M. Bierlaire; M. Kunt: Object Detection and Matching with Mobile Cameras Collaborating with Fixed Cameras. 2008. European Conference on Computer Vision, Marseille, France, October 18, 2008.

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  1. Alahi; P. Vandergheynst; M. Bierlaire; M. Kunt: Object Detection and Matching in a Mixed Network of Fixed and Mobile Cameras. 2008. ACM International Conference on Multimedia, Vancouver, Canada, October 31, 2008. DOI: 10.1145/1463542.1463545.

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  1. Alahi; D. Marimon; M. Bierlaire; M. Kunt: A Master-Slave Approach for Object Detection and Matching with Fixed and Mobile Cameras. 2008. 15th IEEE International Conference on Image Processing, San Diego, USA, October 12-15, 2008. p. 1712-1715. DOI: 10.1109/ICIP.2008.4712104.

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