Alexandre Alahi
EPFL ENAC IIC VITA
GC C1 383 (Bâtiment GC)
Station 18
CH-1015 Lausanne
Web site: Web site: https://vita.epfl.ch/
EPFL ENAC IIC VITA
GC C1 383 (Bâtiment GC)
Station 18
CH-1015 Lausanne
Web site: Web site: https://www.epfl.ch/schools/enac/about/diversity-office/
Fields of expertise
Transportation
Mobility
Computer Vision
Machine Learning
Deep Learning
Human-Robot Interaction
Socially-aware Artificial Intelligence
Ambient Intelligence
Mobility
Computer Vision
Machine Learning
Deep Learning
Human-Robot Interaction
Socially-aware Artificial Intelligence
Ambient Intelligence
Biography
Alexandre Alahi is an assistant professor at EPFL leading the Visual Intelligence for Transportation laboratory (VITA). Before joining EPFL in 2017, he spent multiple years at Stanford University as a Post-doc and Research Scientist.His research lies at the intersection of Computer Vision, Machine Learning, and Robotics applied to transportation & mobility. To make Artificial Intelligence (AI) driven systems such as autonomous vehicles a safe reality, his lab works on a new type of Artificial Intelligence (AI), namely socially-aware AI, i.e., an AI augmented with social intelligence.
In 2022, Alexandre was recognized as the top 100 Most Influential Scholar in Computer Vision over the past 10 years. His research team received the editor’s choice award from the journal Image and vision computing (2021) for their work on human motion prediction, the honorable mention at an ICCV workshop (2019) for their work on human pose estimation, the CVPR Open Source Award (2012) for their work on Retina-inspired image descriptors, and the ICDSC Challenge Prize (2009) for their sparsity-driven algorithm that has tracked more than 100 million pedestrians to date.
His work has been licensed to several companies and 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.
Publications
Infoscience publications
Infoscience
Composite Relationship Fields with Transformers for Scene Graph Generation
2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, Hawaii, United States, January 3-7, 2023.VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
2022-11-21. 33rd British Machine Vision Conference (BMVC 2022), London, UK, November 21-24, 2022.Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting
IEEE Transactions on Intelligent Transportation Systems. 2022-11-01.Motion Style TransferModular Low-Rank Style Transfer for Deep Trajectory Forecasting
2022-08-22Vehicle trajectory prediction works, but not everywhere
2022-07-20. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, Louisiana, USA, June 21 - 24, 2022. DOI : 10.1109/CVPR52688.2022.01661.Automated Detection Of Isolated Rem Sleep Behavior Disorder (Irbd) During Single Night In-Lab Video-Polysomnography (Psg) Using Computer Vision
2022-06-01. p. A282-A282.Deep Learning Methods for Socially-Aware Human Trajectory Forecasting
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9842.Advancing the Adaptability of Compliant Robot Controllers for Exploration, Interaction, and Manipulation
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9747.Visual Scene Understanding for Transportation: From Detecting Objects To Relationships
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8994.Unsupervised Visual Entity Abstraction towards 2D and 3D Compositional Models
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8166.Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
2022. Conference on Robotics Learning, Auckland, New Zealand, December 14-18, 2022.Bridging the gap between model-driven and data-driven methods in the era of Big Data
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9112.Towards real-world biomechanical analysis of performance and functional capacity using wearable sensors
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9755.Efficient Transformer-Based Speech Recognition
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9766.Multivariate time series forecasting for freeway networks
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8722.Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
2022. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, Louisiana, USA, June 21-24, 2022. p. 17081-17092.Robustness and invariance properties of image classifiers
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9646.Pedestrian 3D Bounding Box Prediction
2022. 10th Symposium of the European Association for Research in Transportation (hEART), Leuven, Belgium, June, 2022.Are socially-aware trajectory prediction models really socially-aware?
Transportation Research Part C: Emerging Technologies. 2022. DOI : 10.1016/j.trc.2022.103705.Simple Yet Effective Action Recognition for Autonomous Driving
2022. 11th Triennial Symposium on Transportation Analysis Conference (TRISTAN XI), Mauritius Island, June 19-25, 2022.Theory and application of a data-driven approach to compressive spectrometry in the assessment of neurophotic stimulation
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9254.Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8607.Learning to sample in Cartesian MRI
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9981.Reshaping Perception for Autonomous Driving with Semantic Keypoints
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-10072.Vision-based Flocking in Aerial Robot Swarms
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9186.Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion
2022. IEEE 39th International Conference on Robotics and Automation (ICRA 2022), Philadelphia, Pennsylvania, USA, May 23-27, 2022.Learning to Represent and Reconstruct 3D Deformable Objects
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-7974.OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
Ieee Transactions On Intelligent Transportation Systems. 2022. DOI : 10.1109/TITS.2021.3124981.Detecting 32 Pedestrian Attributes for Autonomous Vehicles
IEEE Transactions on Intelligent Transportation Systems. 2022. DOI : 10.1109/TITS.2021.3107587.Perceiving Humans: from Monocular 3D Localization to Social Distancing
IEEE Transactions on Intelligent Transportation Systems. 2022. DOI : 10.1109/TITS.2021.3069376.A Shared Representation for Photorealistic Driving Simulators
IEEE Transactions on Intelligent Transportation Systems. 2021-12-03. DOI : 10.1109/TITS.2021.3131303.TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
2021-12. 35th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), Virtual, Decembre 6-14, 2021.DriverGym: Democratising Reinforcement Learning for Autonomous Driving
2021-11-12. NeurIPS 2021 Workshop on Machine Learning for Autonomous Driving, Online, December 6-14, 2021.Keypoint Communities
2021-10-11. IEEE International Conference on Computer Vision (ICCV 2021), [Virtual], October 10-17, 2021. p. 11037-11046. DOI : 10.1109/ICCV48922.2021.01087.Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
2021-10-11. IEEE International Conference on Computer Vision (ICCV 2021), [Virtual], October 10-17, 2021. p. 15731-15740. DOI : 10.1109/ICCV48922.2021.01544.Social NCE: Contrastive Learning of Socially-aware Motion Representations
2021-10-11. IEEE International Conference on Computer Vision (ICCV), Virtual, October 10-17, 2021. p. 15098-15109. DOI : 10.1109/ICCV48922.2021.01484.Pedestrian intention prediction: A convolutional bottom-up multi-task approach
Transportation Research Part C: Emerging Technologies. 2021-07-15. DOI : 10.1016/j.trc.2021.103259.Guest Editorial: Introduction to the Special Issue on Long-Term Human Motion Prediction
Ieee Robotics And Automation Letters. 2021-07-01. DOI : 10.1109/LRA.2021.3077964.Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
IEEE Transactions on Intelligent Transportation Systems. 2021-04-19. DOI : 10.1109/TITS.2021.3069362.MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization
2021-03-22. International Conference on Robotics and Automation (ICRA), Xi'an, China, June 1-6, 2021. p. 5126-5132. DOI : 10.1109/ICRA48506.2021.9561820.Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Transportation Research Part C: Emerging Technologies. 2021-03-08. DOI : 10.1016/j.trc.2021.103010.Learning Decoupled Representations for Human Pose Forecasting
2021. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCV 2021), Virtual, October 11-17, 2021. p. 2294-2303. DOI : 10.1109/ICCVW54120.2021.00259.Efficient Depth-based Deep Learning Methods for Multi-Party Pose Estimation
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8429.Gradient-based Methods for Deep Model Interpretability
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8606.Damage Assessment of Stone Masonry Piers Using Imaged Surface Cracks
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-9252.Dynamic control strategies for managing pedestrian flows
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8200.Architecture Exploration and Optimization of Heterogeneous Many-Core Compute and Memory Architectures with Architectural Extensions
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-7949.Interpretable Social Anchors for Human Trajectory Forecasting in Crowds
2021. Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Nashville, USA (Virtual), Jun 19–25, 2021. p. 15551-15561. DOI : 10.1109/CVPR46437.2021.01530.Deep visual Re-identification with confidence
Transportation Research Part C: Emerging Technologies. 2021. DOI : 10.1016/j.trc.2021.103067.Adaptive hot water production based on Supervised Learning
Sustainable Cities and Society. 2021. DOI : 10.1016/j.scs.2020.102625.Detecting 32 Pedestrian Attributes for Autonomous Vehicles
2020-12-04DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
2020-09-29. NeurIPS 2020 34th Conference on Neural Information Processing Systems, Vancouver, Canada, December 6-12, 2020.Precise Hand Finger Width Estimation via RGB-D Data
2020-08-31Uncertainty-aware Model Inversion Networks
2020-07-14Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
2020-07-07Joint Human Pose Estimation and Stereo 3D Localization
2020-06-01. International Conference on Robotics and Automation (ICRA), Paris, France. Virtual conference., May 31th, June 4th 2020. p. 2324-2330. DOI : 10.1109/ICRA40945.2020.9197069.Collaborative Sampling in Generative Adversarial Networks
2020-02-11. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, New York, USA, February 7-12, 2020. p. 4948-4956. DOI : 10.1609/aaai.v34i04.5933.A Reinforcement Learning Approach to Train Routing and Scheduling
2020-01-23Gait in real world: validated algorithms for gait periods and speed estimation using a single wearable sensor
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-8099.Automatic detection of hand hygiene using computer vision technology
Journal of the American Medical Informatics Association. 2020. DOI : 10.1093/jamia/ocaa115.Pedestrian Intention Prediction: A Multi-task Perspective
2020. 9th Symposium of the European Association for Research in Transportation (hEART 2021), Lyon, France, 7-9 April 2021.Next Steps for Image Synthesis using Semantic Segmentation
2020. 20th Swiss Transport Research Conference (STRC 2020), [Online event], 13-14 May 2020.The electric autonomous dial-a-ride problem
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7431.Mutual Understanding in Educational Human-Robot Collaborations
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-10144.Bilinear Multimodal Discriminator for Adversarial Domain Adaptation with Privileged Information
2020. 9th Symposium of the European Association for Research in Transportation (HEART 2020), Lyon, France, February 3-4, 2020.An Institutional Approach to Normative Distributed Robotics for Mixed Societies of Humans and Robots
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-10147.Motion planning for CAVs in mixed traffic, a study on roundabouts
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7331.Trustworthy Face Recognition: Improving Generalization of Deep Face Presentation Attack Detection
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7635.Learning stereo reconstruction with deep neural networks
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7086.Enhancing discrete choice models with representation learning
Transportation Research Part B: Methodological. 2020. DOI : 10.1016/j.trb.2020.08.006.Learning online combinatorial stochastic policies with deep reinforcement
2019-09-04. European Association for Research in Transportation (hEART), Budapest, September 4-6, 2019.Automatic Differentiation in Social Force Models
2019-09-04. European Association for Research in Transportation (hEART), Budapest, 4-6 september 2019.Adversarial Loss for Human Trajectory Prediction
2019-09-04. European Association for Research in Transportation (hEART 2019), Budapest, 4-6 september 2019.Convolutional Relational Machine for Group Activity Recognition
2019-06-16. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 7884-7893. DOI : 10.1109/CVPR.2019.00808.MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
2019-06-07. International Conference on Computer Vision (ICCV), Seoul, Korea, October 27- November 2, 2019. p. 6860-6870. DOI : 10.1109/ICCV.2019.00696.PifPaf: Composite Fields for Human Pose Estimation
2019-06-01. IEEE conference on computer vision and pattern recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 11969-11978. DOI : 10.1109/CVPR.2019.01225.Next Steps for Social Force with Big Data
2019-05-16. Swiss Transport Research Conference (STRC).Feed-forwards meet recurrent networks in vehicle trajectory prediction
2019-05-15. Swiss Transport Research Conference (STRC).A computer vision system for deep learning-based detection of patient mobilization activities in the ICU
npj Digital Medicine. 2019-03-01. DOI : 10.1038/s41746-019-0087-z.Using A Priori Knowledge to Improve Scene Understanding
2019-01-01. 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 487-489. DOI : 10.1109/CVPRW.2019.00067.Graph-based image representation learning
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9267.Pedestrian Image Generation for Self-driving Cars
2019. Swiss Transport Research Conference (STRC).Deep Visual Re-Identification with Confidence
2019. arXiv.Training Algorithms for Multiple Object Tracking
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9203.Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
2019. International Conference on Robotics and Automation (ICRA), Montreal, Canada, May 20-24, 2019. p. 6015-6022. DOI : 10.1109/ICRA.2019.8794134.Enhancing Discrete Choice Models with Neural Networks
2018-09-05. hEART 2018 – 7th Symposium of the European Association for Research in Transportation conference, Athens, September 5-7, 2018.Learning nuisances to track pedestrians in autonomous vehicles
2018-09-05. Heart 2018 - 7th Symposium of the European Association for Research in Transportation conference, Athens, September 5-7, 2018.Linear Artificial Forces for Human Dynamics in Complex Contexts
2018-06-15. WIRN, Vietri, 13-15 june 2018.Learning nuisances to track pedestrians in autonomous vehicles
2018-05-16. 18th Swiss Transport Research Conference, Monte Verità, Ascona, May 16 – 18, 2018.Congestion and departure time choice equilibrium in urban road networks
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8862.Micro-mechanical finite element modeling for in-plane behavior of historical masonry
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8792.CAR-Net: Clairvoyant Attentive Recurrent Network
2018. European Conference on Computer Vision (ECCV), Munich, 8-14 September 2018. p. 162–180. DOI : 10.1007/978-3-030-01252-6_10.Variational Methods for Human Modeling
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8680.Long-term path prediction in urban scenarios using circular distributions
Image and Vision Computing. 2018. DOI : 10.1016/j.imavis.2017.11.006.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. DOI : 10.1109/CVPR.2018.00240.Dealing with Correlations in Discrete Choice Models
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8170.Vision-Based Prediction of ICU Mobility Care Activities using Recurrent Neural Networks
NIPS workshop on Machine Learning for Health, 2017-12-08.Viewpoint Invariant Convolutional Networks for Identifying Risky Hand Hygiene Scenarios
Workshop at NIPS on Machine Learning for Health.Unsupervised Camera Localization in Crowded Spaces
2017. IEEE International Conference on Robotics and Automation (ICRA), Singapore, May 29 - June 3, 2017. p. 2666-2673. DOI : 10.1109/ICRA.2017.7989311.Learning to Predict Human Behavior in Crowded Scenes
Group and Crowd Behavior for Computer Vision; Elsevier, 2017. p. 183-207.Composite Relationship Fields with Transformers for Scene Graph Generation
2023. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, Hawaii, United States, January 3-7, 2023.VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
2022-11-21. 33rd British Machine Vision Conference (BMVC 2022), London, UK, November 21-24, 2022.Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting
IEEE Transactions on Intelligent Transportation Systems. 2022-11-01.Motion Style TransferModular Low-Rank Style Transfer for Deep Trajectory Forecasting
2022-08-22Vehicle trajectory prediction works, but not everywhere
2022-07-20. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, Louisiana, USA, June 21 - 24, 2022. DOI : 10.1109/CVPR52688.2022.01661.Automated Detection Of Isolated Rem Sleep Behavior Disorder (Irbd) During Single Night In-Lab Video-Polysomnography (Psg) Using Computer Vision
2022-06-01. p. A282-A282.Deep Learning Methods for Socially-Aware Human Trajectory Forecasting
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9842.Advancing the Adaptability of Compliant Robot Controllers for Exploration, Interaction, and Manipulation
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9747.Visual Scene Understanding for Transportation: From Detecting Objects To Relationships
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8994.Unsupervised Visual Entity Abstraction towards 2D and 3D Compositional Models
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8166.Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
2022. Conference on Robotics Learning, Auckland, New Zealand, December 14-18, 2022.Bridging the gap between model-driven and data-driven methods in the era of Big Data
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9112.Towards real-world biomechanical analysis of performance and functional capacity using wearable sensors
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9755.Efficient Transformer-Based Speech Recognition
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9766.Multivariate time series forecasting for freeway networks
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8722.Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
2022. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, Louisiana, USA, June 21-24, 2022. p. 17081-17092.Robustness and invariance properties of image classifiers
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9646.Pedestrian 3D Bounding Box Prediction
2022. 10th Symposium of the European Association for Research in Transportation (hEART), Leuven, Belgium, June, 2022.Are socially-aware trajectory prediction models really socially-aware?
Transportation Research Part C: Emerging Technologies. 2022. DOI : 10.1016/j.trc.2022.103705.Simple Yet Effective Action Recognition for Autonomous Driving
2022. 11th Triennial Symposium on Transportation Analysis Conference (TRISTAN XI), Mauritius Island, June 19-25, 2022.Theory and application of a data-driven approach to compressive spectrometry in the assessment of neurophotic stimulation
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9254.Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8607.Learning to sample in Cartesian MRI
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9981.Reshaping Perception for Autonomous Driving with Semantic Keypoints
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-10072.Vision-based Flocking in Aerial Robot Swarms
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9186.Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion
2022. IEEE 39th International Conference on Robotics and Automation (ICRA 2022), Philadelphia, Pennsylvania, USA, May 23-27, 2022.Learning to Represent and Reconstruct 3D Deformable Objects
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-7974.OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
Ieee Transactions On Intelligent Transportation Systems. 2022. DOI : 10.1109/TITS.2021.3124981.Detecting 32 Pedestrian Attributes for Autonomous Vehicles
IEEE Transactions on Intelligent Transportation Systems. 2022. DOI : 10.1109/TITS.2021.3107587.Perceiving Humans: from Monocular 3D Localization to Social Distancing
IEEE Transactions on Intelligent Transportation Systems. 2022. DOI : 10.1109/TITS.2021.3069376.A Shared Representation for Photorealistic Driving Simulators
IEEE Transactions on Intelligent Transportation Systems. 2021-12-03. DOI : 10.1109/TITS.2021.3131303.TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
2021-12. 35th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), Virtual, Decembre 6-14, 2021.DriverGym: Democratising Reinforcement Learning for Autonomous Driving
2021-11-12. NeurIPS 2021 Workshop on Machine Learning for Autonomous Driving, Online, December 6-14, 2021.Keypoint Communities
2021-10-11. IEEE International Conference on Computer Vision (ICCV 2021), [Virtual], October 10-17, 2021. p. 11037-11046. DOI : 10.1109/ICCV48922.2021.01087.Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
2021-10-11. IEEE International Conference on Computer Vision (ICCV 2021), [Virtual], October 10-17, 2021. p. 15731-15740. DOI : 10.1109/ICCV48922.2021.01544.Social NCE: Contrastive Learning of Socially-aware Motion Representations
2021-10-11. IEEE International Conference on Computer Vision (ICCV), Virtual, October 10-17, 2021. p. 15098-15109. DOI : 10.1109/ICCV48922.2021.01484.Pedestrian intention prediction: A convolutional bottom-up multi-task approach
Transportation Research Part C: Emerging Technologies. 2021-07-15. DOI : 10.1016/j.trc.2021.103259.Guest Editorial: Introduction to the Special Issue on Long-Term Human Motion Prediction
Ieee Robotics And Automation Letters. 2021-07-01. DOI : 10.1109/LRA.2021.3077964.Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
IEEE Transactions on Intelligent Transportation Systems. 2021-04-19. DOI : 10.1109/TITS.2021.3069362.MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization
2021-03-22. International Conference on Robotics and Automation (ICRA), Xi'an, China, June 1-6, 2021. p. 5126-5132. DOI : 10.1109/ICRA48506.2021.9561820.Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Transportation Research Part C: Emerging Technologies. 2021-03-08. DOI : 10.1016/j.trc.2021.103010.Learning Decoupled Representations for Human Pose Forecasting
2021. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCV 2021), Virtual, October 11-17, 2021. p. 2294-2303. DOI : 10.1109/ICCVW54120.2021.00259.Efficient Depth-based Deep Learning Methods for Multi-Party Pose Estimation
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8429.Gradient-based Methods for Deep Model Interpretability
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8606.Damage Assessment of Stone Masonry Piers Using Imaged Surface Cracks
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-9252.Dynamic control strategies for managing pedestrian flows
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8200.Architecture Exploration and Optimization of Heterogeneous Many-Core Compute and Memory Architectures with Architectural Extensions
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-7949.Interpretable Social Anchors for Human Trajectory Forecasting in Crowds
2021. Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Nashville, USA (Virtual), Jun 19–25, 2021. p. 15551-15561. DOI : 10.1109/CVPR46437.2021.01530.Deep visual Re-identification with confidence
Transportation Research Part C: Emerging Technologies. 2021. DOI : 10.1016/j.trc.2021.103067.Adaptive hot water production based on Supervised Learning
Sustainable Cities and Society. 2021. DOI : 10.1016/j.scs.2020.102625.Detecting 32 Pedestrian Attributes for Autonomous Vehicles
2020-12-04DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
2020-09-29. NeurIPS 2020 34th Conference on Neural Information Processing Systems, Vancouver, Canada, December 6-12, 2020.Precise Hand Finger Width Estimation via RGB-D Data
2020-08-31Uncertainty-aware Model Inversion Networks
2020-07-14Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
2020-07-07Joint Human Pose Estimation and Stereo 3D Localization
2020-06-01. International Conference on Robotics and Automation (ICRA), Paris, France. Virtual conference., May 31th, June 4th 2020. p. 2324-2330. DOI : 10.1109/ICRA40945.2020.9197069.Collaborative Sampling in Generative Adversarial Networks
2020-02-11. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, New York, USA, February 7-12, 2020. p. 4948-4956. DOI : 10.1609/aaai.v34i04.5933.A Reinforcement Learning Approach to Train Routing and Scheduling
2020-01-23Gait in real world: validated algorithms for gait periods and speed estimation using a single wearable sensor
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-8099.Automatic detection of hand hygiene using computer vision technology
Journal of the American Medical Informatics Association. 2020. DOI : 10.1093/jamia/ocaa115.Pedestrian Intention Prediction: A Multi-task Perspective
2020. 9th Symposium of the European Association for Research in Transportation (hEART 2021), Lyon, France, 7-9 April 2021.Next Steps for Image Synthesis using Semantic Segmentation
2020. 20th Swiss Transport Research Conference (STRC 2020), [Online event], 13-14 May 2020.The electric autonomous dial-a-ride problem
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7431.Mutual Understanding in Educational Human-Robot Collaborations
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-10144.Bilinear Multimodal Discriminator for Adversarial Domain Adaptation with Privileged Information
2020. 9th Symposium of the European Association for Research in Transportation (HEART 2020), Lyon, France, February 3-4, 2020.An Institutional Approach to Normative Distributed Robotics for Mixed Societies of Humans and Robots
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-10147.Motion planning for CAVs in mixed traffic, a study on roundabouts
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7331.Trustworthy Face Recognition: Improving Generalization of Deep Face Presentation Attack Detection
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7635.Learning stereo reconstruction with deep neural networks
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7086.Enhancing discrete choice models with representation learning
Transportation Research Part B: Methodological. 2020. DOI : 10.1016/j.trb.2020.08.006.Learning online combinatorial stochastic policies with deep reinforcement
2019-09-04. European Association for Research in Transportation (hEART), Budapest, September 4-6, 2019.Automatic Differentiation in Social Force Models
2019-09-04. European Association for Research in Transportation (hEART), Budapest, 4-6 september 2019.Adversarial Loss for Human Trajectory Prediction
2019-09-04. European Association for Research in Transportation (hEART 2019), Budapest, 4-6 september 2019.Convolutional Relational Machine for Group Activity Recognition
2019-06-16. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 7884-7893. DOI : 10.1109/CVPR.2019.00808.MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
2019-06-07. International Conference on Computer Vision (ICCV), Seoul, Korea, October 27- November 2, 2019. p. 6860-6870. DOI : 10.1109/ICCV.2019.00696.PifPaf: Composite Fields for Human Pose Estimation
2019-06-01. IEEE conference on computer vision and pattern recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 11969-11978. DOI : 10.1109/CVPR.2019.01225.Next Steps for Social Force with Big Data
2019-05-16. Swiss Transport Research Conference (STRC).Feed-forwards meet recurrent networks in vehicle trajectory prediction
2019-05-15. Swiss Transport Research Conference (STRC).A computer vision system for deep learning-based detection of patient mobilization activities in the ICU
npj Digital Medicine. 2019-03-01. DOI : 10.1038/s41746-019-0087-z.Using A Priori Knowledge to Improve Scene Understanding
2019-01-01. 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019. p. 487-489. DOI : 10.1109/CVPRW.2019.00067.Graph-based image representation learning
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9267.Pedestrian Image Generation for Self-driving Cars
2019. Swiss Transport Research Conference (STRC).Deep Visual Re-Identification with Confidence
2019. arXiv.Training Algorithms for Multiple Object Tracking
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9203.Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
2019. International Conference on Robotics and Automation (ICRA), Montreal, Canada, May 20-24, 2019. p. 6015-6022. DOI : 10.1109/ICRA.2019.8794134.Enhancing Discrete Choice Models with Neural Networks
2018-09-05. hEART 2018 – 7th Symposium of the European Association for Research in Transportation conference, Athens, September 5-7, 2018.Learning nuisances to track pedestrians in autonomous vehicles
2018-09-05. Heart 2018 - 7th Symposium of the European Association for Research in Transportation conference, Athens, September 5-7, 2018.Linear Artificial Forces for Human Dynamics in Complex Contexts
2018-06-15. WIRN, Vietri, 13-15 june 2018.Learning nuisances to track pedestrians in autonomous vehicles
2018-05-16. 18th Swiss Transport Research Conference, Monte Verità, Ascona, May 16 – 18, 2018.Congestion and departure time choice equilibrium in urban road networks
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8862.Micro-mechanical finite element modeling for in-plane behavior of historical masonry
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8792.CAR-Net: Clairvoyant Attentive Recurrent Network
2018. European Conference on Computer Vision (ECCV), Munich, 8-14 September 2018. p. 162–180. DOI : 10.1007/978-3-030-01252-6_10.Variational Methods for Human Modeling
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8680.Long-term path prediction in urban scenarios using circular distributions
Image and Vision Computing. 2018. DOI : 10.1016/j.imavis.2017.11.006.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. DOI : 10.1109/CVPR.2018.00240.Dealing with Correlations in Discrete Choice Models
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8170.Vision-Based Prediction of ICU Mobility Care Activities using Recurrent Neural Networks
NIPS workshop on Machine Learning for Health, 2017-12-08.Viewpoint Invariant Convolutional Networks for Identifying Risky Hand Hygiene Scenarios
Workshop at NIPS on Machine Learning for Health.Unsupervised Camera Localization in Crowded Spaces
2017. IEEE International Conference on Robotics and Automation (ICRA), Singapore, May 29 - June 3, 2017. p. 2666-2673. DOI : 10.1109/ICRA.2017.7989311.Learning to Predict Human Behavior in Crowded Scenes
Group and Crowd Behavior for Computer Vision; Elsevier, 2017. p. 183-207.Research
Research summary
We work 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. We envision 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 etiquette 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. Our research is centered around understanding and predicting human social behavior with multi-modal visual data. Our work spans multiple aspects of socially-aware systems: from 1- collecting multi-modal data at scale, 2- Extracting coarse-to-fine grained behaviours 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 a vehicle or a socially-aware robot that navigates crowded social scenes.Teaching & PhD
Teaching
Civil Engineering
PhD Programs
Doctoral Program in Civil and Environmental Engineering
Doctoral program in computer and communication sciences
Doctoral program in robotics, control, and intelligent systems
Doctoral Program in Electrical Engineering
PhD Students
Adaimi George, Bahari Mohammadhossein, Behjati Melika, Hosseininejad Reyhaneh Alsadat, Kothari Parth Ashit, Liu Yuejiang, Luan Po-Chien, Rahimi Ahmad, Rahimi Noshanagh Parsa, Saadatnejad Saeed, Shukla Megh Hiren, Sifringer Brian Alan, Sivaprasad Prabhu Teja, Somers Vladimir, Van Delft Bastien Germain C.,Past EPFL PhD Students
Bertoni Lorenzo ,Courses
Introduction to machine learning for engineers
Machine learning is a sub-field of Artificial Intelligence that allows computers to learn from data, identify patterns and make predictions. As a fundamental building block of the Computational Thinking education at EPFL, Civil students will learn ML with civil case studies (summary generated by ML)
Deep learning for autonomous vehicles
Deep Learning (DL) is the subset of Machine learning reshaping the future of transportation and mobility. In this class, we will show how DL can be used to teach autonomous vehicles to detect objects, make predictions, and make decisions. (Fun fact: this summary is powered by DL)
Topics in Autonomous Robotics
Students will be introduced to modern approaches in control and design of autonomous robots through lectures and exercises.