Alexandre Alahi
EPFL ENAC IIC VITA
GC C1 383 (Bâtiment GC)
Station 18
1015 Lausanne
+41 21 693 26 08
Office: GC C1 383
EPFL › ENAC › IIC › VITA
Website: https://vita.epfl.ch/
EPFL ENAC IIC VITA
GC C1 383 (Bâtiment GC)
Station 18
1015 Lausanne
+41 21 693 26 08
Office: GC C1 383
EPFL › ENAC › ENAC-DEC › DOENAC
Website: https://www.epfl.ch/schools/enac/about/diversity-office/
EPFL ENAC IIC VITA
GC C1 383 (Bâtiment GC)
Station 18
1015 Lausanne
+41 21 693 26 08
Office: GC C1 383
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDCE-ENS
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
Alexandre Alahi is an associate 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&2023, Alexandre was recognized as one of 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.
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&2023, Alexandre was recognized as one of 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.
Awards
CVPR Open Source Award
0
ICDSC Challenge Prize
0
AI 100 Most Influential Scholar Honorable Mention in Computer Vision
2022
AI 2000 Most Influential Scholar Honorable Mention
2022
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness
European Transport Research Review. 2025. DOI : 10.1186/s12544-025-00732-x.GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization
2025. International Conference on Computer Vision, Honolulu, Hawai'i, USA, 2025-10-19 - 2025-10-23.Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model
2025. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Hangzhou, China, 2025-10-19 - 2025-10-25.Social-Pose: Enhancing Trajectory Prediction with Human Body Pose
IEEE Transactions on Intelligent Transportation Systems. 2025. DOI : 10.1109/TITS.2025.3594889.TAROT: Targeted Data Selection via Optimal Transport
2025. International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 - 2025-07-19.HELVIPAD: A Real-World Dataset for Omnidirectional Stereo Depth Estimation
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025, Nashville, Tennessee, US, 2025-06-11 - 2025-06-15.GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
2025. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025, Nashville, Tennessee, US, 2025-06-11 - 2025-06-15.MotionMap: Representing Multimodality in Human Pose Forecasting
2025. IEEE Conference on Computer Vision and Pattern Recognition, Nashville, Tennessee, USA, 2025-06-11 - 2025-06-15.FG2 : Fine-Grained Cross-View Localization by Fine-Grained Feature Matching
2025. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025, Nashville, Tennessee, US, 2025-06-11 - 2025-06-15.Certified Human Trajectory Prediction
2025. IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashville, 2025-06-11 - 2025-06-15.Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting
2025. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025, Nashville, Tennessee, US, 2025-06-11 - 2025-06-15.Principles and Guidelines for Evaluating Social RobotNavigation Algorithms
ACM TRANSACTIONS ON HUMAN-ROBOT INTERACTION. 2025. DOI : 10.1145/3700599.Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
2025. 13th International Conference on Learning Representations (ICLR 2025), Singapore, 2025-04-24 - 2025-04-28.Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors
2025. CONFERENCE ON LANGUAGE MODELING 2025, Montreal, Canada, 2025-10-07 - 2025-10-10.NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability
2025. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, AZ, USA, 2025-02-26 - 2025-03-06. p. 7593 - 7604. DOI : 10.1109/wacv61041.2025.00738.Position: A taxonomy for reporting and describing AI security incidents
2025X-ray Micro-CT based characterization of rock cuttings with deep learning
Applied Computing and Geosciences. 2025. DOI : 10.1016/j.acags.2025.100220.Multi-Source Urban Traffic Flow Forecasting with Drone and Loop Detector Data
2025. 104th Annual Meeting of the Transportation Research Board, Washington DC, US, 2025-01-05 - 2025-01-09.Unified Human Localization and Trajectory Prediction with Monocular Vision
2025. 2025 IEEE International Conference on Robotics and Automation, Atlanta, GA, USA, 2025-05-19 - 2025-05-23.HHI-Assist: A Dataset and Benchmark of Human-Human Interaction in Physical Assistance Scenario
IEEE Robotics and Automation Letters. 2025. DOI : 10.1109/lra.2025.3586011.Keypoint Promptable Re-Identification
2025. 18th European Conference on Computer Vision, Milan, Italy, 2024-09-29 - 2024-10-04. p. 216 - 233. DOI : 10.1007/978-3-031-72986-7_13.Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
2025. IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashwille, Tennessee, USA, 2025-06-11 - 2025-06-15.Person Re-Identification and its Application to Multi-Object Tracking
Lausanne, EPFL, 2025. DOI : 10.5075/epfl-thesis-11073.Automated Detection of Isolated REM Sleep Behavior Disorder Using Computer Vision
Annals of Neurology. 2025. DOI : 10.1002/ana.27170.SoccerNet 2023 challenges results
Sports Engineering. 2024. DOI : 10.1007/s12283-024-00466-4.A qualitative AI security risk assessment of autonomous vehicles
Transportation Research Part C: Emerging Technologies. 2024. DOI : 10.1016/j.trc.2024.104797.Multi-Transmotion: Pre-trained Model for Human Motion Prediction
2024. 8th Annual Conference on Robot Learning, München, Germany, 2024-11-06 - 2024-11-09.MPL: Lifting 3D Human Pose from Multi-view 2D Poses
2024. T-CAP ECCV24, milano, 2024-09-29. p. 36 - 52. DOI : 10.1007/978-3-031-91575-8_3.Eye-Rubbing Detection Using a Smartwatch: A Feasibility Study Demonstrated High Accuracy With Machine Learning
Translational vision science & technology. 2024. DOI : 10.1167/tvst.13.9.1.CODE: Confident Ordinary Differential Editing
2024Towards more Practical Threat Models in Artificial Intelligence Security
2024. 33rd USENIX Conference on Security Symposium, Philadelphia, PA, USA, 2024-08-14 - 2024-08-14. p. 4891 - 4908. DOI : 10.5555/3698900.3699174.UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
2024. European Conference on Computer Vision (ECCV 2024), Milano, Italy, 2024-09-29 - 2024-10-04. DOI : 10.48550/arXiv.2403.15098.TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression
2024. 41st International Conference on Machine Learning (ICML) 2024, Vienna, Austria, July 21-27, 2024.MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
2024. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, June 17-21, 2024.Dynamic Voxels Based on Ego-Conditioned Prediction: An Integrated Spatio-Temporal Framework for Motion Planning
IEEE Transactions on Intelligent Transportation Systems. 2024. DOI : 10.1109/TITS.2024.3398008.JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in Crowds
2024. 24th Swiss Transport Research Conference (STRC), Monte Verità, Ascona, Switzerland, 2024-05-15 - 2024-05-17.Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
2024. International Conference on Robotics and Automation (ICRA), yokohama, japan, May 13- May 17, 2024.Social-Transmotion: Promptable Human Trajectory Prediction
2024. International Conference on Learning Representations (ICLR), Vienna, Austria, May 7-11, 2024.When Your AI Becomes a Target: AI Security Incidents and Best Practices
2024. Proceedings of the 38th AAAI Conference on Artificial Intelligence, Vancouver, Canada, February 20-27, 2024. p. 23041 - 23046. DOI : 10.1609/aaai.v38i21.30347.Predicting the long-term collective behaviour of fish pairs with deep learning
Journal of The Royal Society Interface. 2024. DOI : 10.1098/rsif.2023.0630.A journey toward generalizable trajectory forecasting models
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-9883.Discovering meaningful units from text sequences
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-10383.Toward Reliable Human Pose Forecasting With Uncertainty
IEEE Robotics and Automation Letters. 2024. DOI : 10.1109/LRA.2024.3374188.Bridging Discrete Choice Modeling and Neural Networks: Unifying Statistical Rigor and Predictive Power
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-10339.Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review
Environmental Science And Ecotechnology. 2023. DOI : 10.1016/j.ese.2023.100330.Toward contactless human thermal monitoring: A framework for Machine Learning-based human thermo-physiology modeling augmented with computer vision
Building and Environment. 2023. DOI : 10.1016/j.buildenv.2023.110850.Urban Digital Twin Challenges: A Systematic Review and Perspectives for Sustainable Smart Cities
Sustainable Cities And Society. 2023. DOI : 10.1016/j.scs.2023.104862.Real-Time Localization for Closed-Loop Control of Assistive Furniture
Ieee Robotics And Automation Letters. 2023. DOI : 10.1109/LRA.2023.3287365.Traffic perception from aerial images using butterfly fields
Transportation Research Part C-Emerging Technologies. 2023. DOI : 10.1016/j.trc.2023.104181.On Pitfalls of Test-time Adaptation
2023. International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July 23-29, 2023.Non-intrusive physiological parameters sensing for personalized human thermal comfort prediction
2023. 18th Healthy Buildings Europe Conference, Aachen, Germany, June 11-14, 2023.A generic diffusion-based approach for 3D human pose prediction in the wild
2023. IEEE International Conference on Robotics and Automation (ICRA), London, England, 29 May – 2 June, 2023. p. 8246 - 8253. DOI : 10.1109/ICRA48891.2023.10160399.Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
2023. Conference on Causal Learning and Reasoning (CLeaR), Tübingen, Germany, April 11-14, 2023.The automated collapse data constructor technique and the data-driven methodology for seismic collapse risk assessment
Earthquake Engineering & Structural Dynamics. 2023. DOI : 10.1002/eqe.3865.Safety-Compliant Generative Adversarial Networks for Human Trajectory Forecasting
IEEE Transactions on Intelligent Transportation Systems:7cbfb63e-09a2-4b42-9ad5-44c3eda9338d. 2023. DOI : 10.1109/TITS.2022.3233906.1(st) Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
2023. 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, Jan 03-07, 2023. p. 265 - 302. DOI : 10.1109/WACVW58289.2023.00033.Training Traffic Light Behavior with End-to-End Learning
2023. 17th International Conference on Intelligent Autonomous Systems (IAS), Zagreb, Croatia, June 13-16, 2022. p. 753 - 764. DOI : 10.1007/978-3-031-22216-0_50.Manipulating Trajectory Prediction with Backdoors
2023Body Part-Based Representation Learning for Occluded Person Re-Identification
2023. Winter Conference on Applications of Computer Vision (WACV23), Waikoloa, Hawaii, January 3-7, 2023. p. 1613 - 1623. DOI : 10.1109/WACV56688.2023.00166.Confidence Matters: Applications to Semantic Segmentation
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-10055.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. p. 52 - 64. DOI : 10.1109/WACV56688.2023.00014.Learning Robust and Adaptive Representations: from Interactions, for Interactions
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9863.Deep Generative Models for Autonomous Driving: from Motion Forecasting to Realistic Image Synthesis
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9876.VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
2022. 33rd British Machine Vision Conference (BMVC 2022), London, UK, November 21-24, 2022.Proxy methods for detection of inhalation exposure in simulated office environments
Journal Of Exposure Science And Environmental Epidemiology. 2022. DOI : 10.1038/s41370-022-00495-w.Are the trajectory prediction models generalizable?
2022. The IFAC Symposium on Robust Control Design (ROCOND), kyoto, japan, August 30-September 2, 2022.Motion Style TransferModular Low-Rank Style Transfer for Deep Trajectory Forecasting
2022Vehicle trajectory prediction works, but not everywhere
2022. 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.STATNet: Spatial-temporal attention in the traffic prediction
2022. European Association for Research in Transportation (hEART), KU leuven, Belgium, June 1-3, 2022.Automated Detection Of Isolated Rem Sleep Behavior Disorder (Irbd) During Single Night In-Lab Video-Polysomnography (Psg) Using Computer Vision
2022. p. A282 - A282.Visual Scene Understanding for Transportation: From Detecting Objects To Relationships
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8994.OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
IEEE Transactions on Intelligent Transportation Systems. 2022. DOI : 10.1109/TITS.2021.3124981.Are socially-aware trajectory prediction models really socially-aware?
Transportation Research Part C: Emerging Technologies. 2022. DOI : 10.1016/j.trc.2022.103705.SoccerNet 2022 Challenges Results
2022. 5th ACM International Workshop on Multimedia Content Analysis in Sports (ACM MMSports), Lisboa, PORTUGAL, OCT 10-14, 2022. p. 75 - 86. DOI : 10.1145/3552437.3555703.Reshaping Perception for Autonomous Driving with Semantic Keypoints
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-10072.Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
2022. Conference on Robotics Learning, Auckland, New Zealand, December 14-18, 2022.Pedestrian 3D Bounding Box Prediction
2022. 10th Symposium of the European Association for Research in Transportation (hEART), Leuven, Belgium, June, 2022.Simple Yet Effective Action Recognition for Autonomous Driving
2022. 11th Triennial Symposium on Transportation Analysis Conference (TRISTAN XI), Mauritius Island, June 19-25, 2022.Deep Learning Methods for Socially-Aware Human Trajectory Forecasting
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9842.Detecting 32 Pedestrian Attributes for Autonomous Vehicles
IEEE Transactions on Intelligent Transportation Systems:7cbfb63e-09a2-4b42-9ad5-44c3eda9338d. 2022. DOI : 10.1109/TITS.2021.3107587.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. p. 940 - 947. DOI : 10.1109/ICRA46639.2022.9811664.Perceiving Humans: from Monocular 3D Localization to Social Distancing
IEEE Transactions on Intelligent Transportation Systems:7cbfb63e-09a2-4b42-9ad5-44c3eda9338d. 2022. DOI : 10.1109/TITS.2021.3069376.A Shared Representation for Photorealistic Driving Simulators
IEEE Transactions on Intelligent Transportation Systems:7cbfb63e-09a2-4b42-9ad5-44c3eda9338d. 2021. DOI : 10.1109/TITS.2021.3131303.DriverGym: Democratising Reinforcement Learning for Autonomous Driving
2021. NeurIPS 2021 Workshop on Machine Learning for Autonomous Driving, Online, December 6-14, 2021.Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
2021. 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. IEEE International Conference on Computer Vision (ICCV), Virtual, October 10-17, 2021. p. 15098 - 15109. DOI : 10.1109/ICCV48922.2021.01484.Keypoint Communities
2021. IEEE International Conference on Computer Vision (ICCV 2021), [Virtual], October 10-17, 2021. p. 11037 - 11046. DOI : 10.1109/ICCV48922.2021.01087.Pedestrian intention prediction: A convolutional bottom-up multi-task approach
Transportation Research Part C: Emerging Technologies. 2021. 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. DOI : 10.1109/LRA.2021.3077964.Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
IEEE Transactions on Intelligent Transportation Systems:7cbfb63e-09a2-4b42-9ad5-44c3eda9338d. 2021. DOI : 10.1109/TITS.2021.3069362.MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization
2021. 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. DOI : 10.1016/j.trc.2021.103010.Adaptive hot water production based on Supervised Learning
Sustainable Cities and Society. 2021. DOI : 10.1016/j.scs.2020.102625.Deep visual Re-identification with confidence
Transportation Research Part C: Emerging Technologies. 2021. DOI : 10.1016/j.trc.2021.103067.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.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.Detecting 32 Pedestrian Attributes for Autonomous Vehicles
2020DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
2020. NeurIPS 2020 34th Conference on Neural Information Processing Systems, Vancouver, Canada, December 6-12, 2020.Precise Hand Finger Width Estimation via RGB-D Data
2020Perceiving Traffic from Aerial Images
2020.Uncertainty-aware Model Inversion Networks
2020Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
2020Joint Human Pose Estimation and Stereo 3D Localization
2020. 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. 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
2020Automatic detection of hand hygiene using computer vision technology
Journal of the American Medical Informatics Association. 2020. DOI : 10.1093/jamia/ocaa115.Next Steps for Image Synthesis using Semantic Segmentation
2020. 20th Swiss Transport Research Conference (STRC 2020), [Online event], 13-14 May 2020.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.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.Learning online combinatorial stochastic policies with deep reinforcement
2019. European Association for Research in Transportation (hEART), Budapest, September 4-6, 2019.Automatic Differentiation in Social Force Models
2019. European Association for Research in Transportation (hEART), Budapest, 4-6 september 2019.Adversarial Loss for Human Trajectory Prediction
2019. European Association for Research in Transportation (hEART 2019), Budapest, 4-6 september 2019.Convolutional Relational Machine for Group Activity Recognition
2019. 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. 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. 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. Swiss Transport Research Conference (STRC).Feed-forwards meet recurrent networks in vehicle trajectory prediction
2019. 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. DOI : 10.1038/s41746-019-0087-z.Using A Priori Knowledge to Improve Scene Understanding
2019. 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.Deep Visual Re-Identification with Confidence
2019. arXiv.Pedestrian Image Generation for Self-driving Cars
2019. Swiss Transport Research Conference (STRC).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.Learning nuisances to track pedestrians in autonomous vehicles
2018. Heart 2018 - 7th Symposium of the European Association for Research in Transportation conference, Athens, September 5-7, 2018.Enhancing Discrete Choice Models with Neural Networks
2018. 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. WIRN, Vietri, 13-15 june 2018.Learning nuisances to track pedestrians in autonomous vehicles
2018. 18th Swiss Transport Research Conference, Monte Verità, Ascona, May 16 – 18, 2018.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.Long-term path prediction in urban scenarios using circular distributions
Image and Vision Computing. 2018. DOI : 10.1016/j.imavis.2017.11.006.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.Viewpoint Invariant Convolutional Networks for Identifying Risky Hand Hygiene Scenarios
Workshop at NIPS on Machine Learning for Health.Vision-Based Prediction of ICU Mobility Care Activities using Recurrent Neural Networks
NIPS workshop on Machine Learning for Health, 2017-12-08.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. p. 300 - 311. DOI : 10.1109/ICCV.2017.41.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. p. 6817 - 6826. DOI : 10.1109/CVPR.2017.721.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.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.Characterizing and Improving Stability in Neural Style Transfer
2017. International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017. p. 4087 - 4096. DOI : 10.1109/ICCV.2017.438.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.Tracking millions of humans
Group and Crowd Behavior for Computer Vision; Elsevier, 2017. p. 115 - 135.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. p. 7101 - 7110. DOI : 10.1109/CVPR.2017.751.Learning to Predict Human Behavior in Crowded Scenes
Group and Crowd Behavior for Computer Vision; Elsevier, 2017. p. 183 - 207.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.Towards Viewpoint Invariant 3D Human Pose Estimation
2016. European Conference on Computer Vision (ECCV). p. 160 - 177. DOI : 10.1007/978-3-319-46448-0_10.Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes
2016. p. 549 - 565. DOI : 10.1007/978-3-319-46484-8_33.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.Point-based Path Prediction from Polar Histograms
2016. p. 1961 - 1967.Vision-Based Hand Hygiene Monitoring in Hospitals
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Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-5070.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.Stream Carving: an Adaptive Seam Carving Algorithm
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2009. IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Snowbird, Utah, December 7-10, 2009. DOI : 10.1109/PETS-WINTER.2009.5399487.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.System and Method for Measuring Performances of Surveillance Systems
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2025. International Conference on Computer Vision, Honolulu, Hawai'i, USA, 2025-10-19 - 2025-10-23.Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model
2025. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Hangzhou, China, 2025-10-19 - 2025-10-25.Social-Pose: Enhancing Trajectory Prediction with Human Body Pose
IEEE Transactions on Intelligent Transportation Systems. 2025. DOI : 10.1109/TITS.2025.3594889.TAROT: Targeted Data Selection via Optimal Transport
2025. International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 - 2025-07-19.HELVIPAD: A Real-World Dataset for Omnidirectional Stereo Depth Estimation
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025, Nashville, Tennessee, US, 2025-06-11 - 2025-06-15.GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control
2025. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025, Nashville, Tennessee, US, 2025-06-11 - 2025-06-15.MotionMap: Representing Multimodality in Human Pose Forecasting
2025. IEEE Conference on Computer Vision and Pattern Recognition, Nashville, Tennessee, USA, 2025-06-11 - 2025-06-15.FG2 : Fine-Grained Cross-View Localization by Fine-Grained Feature Matching
2025. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025, Nashville, Tennessee, US, 2025-06-11 - 2025-06-15.Certified Human Trajectory Prediction
2025. IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashville, 2025-06-11 - 2025-06-15.Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting
2025. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025, Nashville, Tennessee, US, 2025-06-11 - 2025-06-15.Principles and Guidelines for Evaluating Social RobotNavigation Algorithms
ACM TRANSACTIONS ON HUMAN-ROBOT INTERACTION. 2025. DOI : 10.1145/3700599.Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
2025. 13th International Conference on Learning Representations (ICLR 2025), Singapore, 2025-04-24 - 2025-04-28.Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors
2025. CONFERENCE ON LANGUAGE MODELING 2025, Montreal, Canada, 2025-10-07 - 2025-10-10.NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability
2025. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, AZ, USA, 2025-02-26 - 2025-03-06. p. 7593 - 7604. DOI : 10.1109/wacv61041.2025.00738.Position: A taxonomy for reporting and describing AI security incidents
2025X-ray Micro-CT based characterization of rock cuttings with deep learning
Applied Computing and Geosciences. 2025. DOI : 10.1016/j.acags.2025.100220.Multi-Source Urban Traffic Flow Forecasting with Drone and Loop Detector Data
2025. 104th Annual Meeting of the Transportation Research Board, Washington DC, US, 2025-01-05 - 2025-01-09.Unified Human Localization and Trajectory Prediction with Monocular Vision
2025. 2025 IEEE International Conference on Robotics and Automation, Atlanta, GA, USA, 2025-05-19 - 2025-05-23.HHI-Assist: A Dataset and Benchmark of Human-Human Interaction in Physical Assistance Scenario
IEEE Robotics and Automation Letters. 2025. DOI : 10.1109/lra.2025.3586011.Keypoint Promptable Re-Identification
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2025. IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashwille, Tennessee, USA, 2025-06-11 - 2025-06-15.Person Re-Identification and its Application to Multi-Object Tracking
Lausanne, EPFL, 2025. DOI : 10.5075/epfl-thesis-11073.Automated Detection of Isolated REM Sleep Behavior Disorder Using Computer Vision
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Sports Engineering. 2024. DOI : 10.1007/s12283-024-00466-4.A qualitative AI security risk assessment of autonomous vehicles
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2024. 8th Annual Conference on Robot Learning, München, Germany, 2024-11-06 - 2024-11-09.MPL: Lifting 3D Human Pose from Multi-view 2D Poses
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2024Towards more Practical Threat Models in Artificial Intelligence Security
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2024. European Conference on Computer Vision (ECCV 2024), Milano, Italy, 2024-09-29 - 2024-10-04. DOI : 10.48550/arXiv.2403.15098.TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression
2024. 41st International Conference on Machine Learning (ICML) 2024, Vienna, Austria, July 21-27, 2024.MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
2024. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, June 17-21, 2024.Dynamic Voxels Based on Ego-Conditioned Prediction: An Integrated Spatio-Temporal Framework for Motion Planning
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2024. 24th Swiss Transport Research Conference (STRC), Monte Verità, Ascona, Switzerland, 2024-05-15 - 2024-05-17.Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
2024. International Conference on Robotics and Automation (ICRA), yokohama, japan, May 13- May 17, 2024.Social-Transmotion: Promptable Human Trajectory Prediction
2024. International Conference on Learning Representations (ICLR), Vienna, Austria, May 7-11, 2024.When Your AI Becomes a Target: AI Security Incidents and Best Practices
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Environmental Science And Ecotechnology. 2023. DOI : 10.1016/j.ese.2023.100330.Toward contactless human thermal monitoring: A framework for Machine Learning-based human thermo-physiology modeling augmented with computer vision
Building and Environment. 2023. DOI : 10.1016/j.buildenv.2023.110850.Urban Digital Twin Challenges: A Systematic Review and Perspectives for Sustainable Smart Cities
Sustainable Cities And Society. 2023. DOI : 10.1016/j.scs.2023.104862.Real-Time Localization for Closed-Loop Control of Assistive Furniture
Ieee Robotics And Automation Letters. 2023. DOI : 10.1109/LRA.2023.3287365.Traffic perception from aerial images using butterfly fields
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2023. International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July 23-29, 2023.Non-intrusive physiological parameters sensing for personalized human thermal comfort prediction
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2023. 17th International Conference on Intelligent Autonomous Systems (IAS), Zagreb, Croatia, June 13-16, 2022. p. 753 - 764. DOI : 10.1007/978-3-031-22216-0_50.Manipulating Trajectory Prediction with Backdoors
2023Body Part-Based Representation Learning for Occluded Person Re-Identification
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2022. 33rd British Machine Vision Conference (BMVC 2022), London, UK, November 21-24, 2022.Proxy methods for detection of inhalation exposure in simulated office environments
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2022. The IFAC Symposium on Robust Control Design (ROCOND), kyoto, japan, August 30-September 2, 2022.Motion Style TransferModular Low-Rank Style Transfer for Deep Trajectory Forecasting
2022Vehicle trajectory prediction works, but not everywhere
2022. 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.STATNet: Spatial-temporal attention in the traffic prediction
2022. European Association for Research in Transportation (hEART), KU leuven, Belgium, June 1-3, 2022.Automated Detection Of Isolated Rem Sleep Behavior Disorder (Irbd) During Single Night In-Lab Video-Polysomnography (Psg) Using Computer Vision
2022. p. A282 - A282.Visual Scene Understanding for Transportation: From Detecting Objects To Relationships
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IEEE Transactions on Intelligent Transportation Systems. 2022. DOI : 10.1109/TITS.2021.3124981.Are socially-aware trajectory prediction models really socially-aware?
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2022. 5th ACM International Workshop on Multimedia Content Analysis in Sports (ACM MMSports), Lisboa, PORTUGAL, OCT 10-14, 2022. p. 75 - 86. DOI : 10.1145/3552437.3555703.Reshaping Perception for Autonomous Driving with Semantic Keypoints
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-10072.Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
2022. Conference on Robotics Learning, Auckland, New Zealand, December 14-18, 2022.Pedestrian 3D Bounding Box Prediction
2022. 10th Symposium of the European Association for Research in Transportation (hEART), Leuven, Belgium, June, 2022.Simple Yet Effective Action Recognition for Autonomous Driving
2022. 11th Triennial Symposium on Transportation Analysis Conference (TRISTAN XI), Mauritius Island, June 19-25, 2022.Deep Learning Methods for Socially-Aware Human Trajectory Forecasting
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9842.Detecting 32 Pedestrian Attributes for Autonomous Vehicles
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IEEE Transactions on Intelligent Transportation Systems:7cbfb63e-09a2-4b42-9ad5-44c3eda9338d. 2021. DOI : 10.1109/TITS.2021.3131303.DriverGym: Democratising Reinforcement Learning for Autonomous Driving
2021. NeurIPS 2021 Workshop on Machine Learning for Autonomous Driving, Online, December 6-14, 2021.Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
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2021. IEEE International Conference on Computer Vision (ICCV), Virtual, October 10-17, 2021. p. 15098 - 15109. DOI : 10.1109/ICCV48922.2021.01484.Keypoint Communities
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Ieee Robotics And Automation Letters. 2021. DOI : 10.1109/LRA.2021.3077964.Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
IEEE Transactions on Intelligent Transportation Systems:7cbfb63e-09a2-4b42-9ad5-44c3eda9338d. 2021. DOI : 10.1109/TITS.2021.3069362.MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization
2021. 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. DOI : 10.1016/j.trc.2021.103010.Adaptive hot water production based on Supervised Learning
Sustainable Cities and Society. 2021. DOI : 10.1016/j.scs.2020.102625.Deep visual Re-identification with confidence
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2020DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
2020. NeurIPS 2020 34th Conference on Neural Information Processing Systems, Vancouver, Canada, December 6-12, 2020.Precise Hand Finger Width Estimation via RGB-D Data
2020Perceiving Traffic from Aerial Images
2020.Uncertainty-aware Model Inversion Networks
2020Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
2020Joint Human Pose Estimation and Stereo 3D Localization
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2020. 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
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2020. 20th Swiss Transport Research Conference (STRC 2020), [Online event], 13-14 May 2020.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.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.Learning online combinatorial stochastic policies with deep reinforcement
2019. European Association for Research in Transportation (hEART), Budapest, September 4-6, 2019.Automatic Differentiation in Social Force Models
2019. European Association for Research in Transportation (hEART), Budapest, 4-6 september 2019.Adversarial Loss for Human Trajectory Prediction
2019. European Association for Research in Transportation (hEART 2019), Budapest, 4-6 september 2019.Convolutional Relational Machine for Group Activity Recognition
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2019. 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
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2019. Swiss Transport Research Conference (STRC).A computer vision system for deep learning-based detection of patient mobilization activities in the ICU
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2019. arXiv.Pedestrian Image Generation for Self-driving Cars
2019. Swiss Transport Research Conference (STRC).Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
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2018. Heart 2018 - 7th Symposium of the European Association for Research in Transportation conference, Athens, September 5-7, 2018.Enhancing Discrete Choice Models with Neural Networks
2018. 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. WIRN, Vietri, 13-15 june 2018.Learning nuisances to track pedestrians in autonomous vehicles
2018. 18th Swiss Transport Research Conference, Monte Verità, Ascona, May 16 – 18, 2018.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.Long-term path prediction in urban scenarios using circular distributions
Image and Vision Computing. 2018. DOI : 10.1016/j.imavis.2017.11.006.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.Viewpoint Invariant Convolutional Networks for Identifying Risky Hand Hygiene Scenarios
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NIPS workshop on Machine Learning for Health, 2017-12-08.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. p. 300 - 311. DOI : 10.1109/ICCV.2017.41.Jointly Learning Energy Expenditures and Activities using Egocentric Multimodal Signals
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2017. International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017. p. 4087 - 4096. DOI : 10.1109/ICCV.2017.438.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.Tracking millions of humans
Group and Crowd Behavior for Computer Vision; Elsevier, 2017. p. 115 - 135.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. p. 7101 - 7110. DOI : 10.1109/CVPR.2017.751.Learning to Predict Human Behavior in Crowded Scenes
Group and Crowd Behavior for Computer Vision; Elsevier, 2017. p. 183 - 207.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.Towards Viewpoint Invariant 3D Human Pose Estimation
2016. European Conference on Computer Vision (ECCV). p. 160 - 177. DOI : 10.1007/978-3-319-46448-0_10.Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes
2016. p. 549 - 565. DOI : 10.1007/978-3-319-46484-8_33.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.Point-based Path Prediction from Polar Histograms
2016. p. 1961 - 1967.Vision-Based Hand Hygiene Monitoring in Hospitals
American Medical Informatics Association (AMIA) Symposium, 2016.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.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.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.Biologically Inspired Keypoints
Biologically Inspired Computer Vision: Fundamentals and Applications; Wiley, 2015. p. 347 - 374.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.System and method for media library navigation and recommendation
WO2014002064 . 2014.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.From Bits to Images: Inversion of Local Binary Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2014. DOI : 10.1109/TPAMI.2013.228.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.SCOOP: A Real-Time Sparsity Driven People Localization Algorithm
Journal Of Mathematical Imaging And Vision. 2012. DOI : 10.1007/s10851-012-0405-4.Beyond Bits: Reconstructing Images from Local Binary Descriptors
2012. 21st International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012. p. 935 - 938.FREAK: Fast Retina Keypoint
2012. IEEE Conference on Computer Vision and Pattern Recognition, Rhode Island, Providence, USA, June 16-21, 2012. p. 510 - 517. DOI : 10.1109/CVPR.2012.6247715.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.Sparsity Driven People Localization with a Heterogeneous Network of Cameras
Journal of Mathematical Imaging and Vision. 2011. DOI : 10.1007/s10851-010-0258-7.Vision-Based Scene Understanding with Sparsity Promoting Priors
Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-5070.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.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.Method and system for automatic objects localization
US2014254875 ; US8749630 ; EP2386981 ; US2011279685 ; EP2386981 . 2010.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.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.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.System and Method for Measuring Performances of Surveillance Systems
JP5153302 ; US7415385 ; JP2008165740 ; US2008126031 . 2008.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.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.Object Detection and Matching with Mobile Cameras Collaborating with Fixed Cameras
2008. European Conference on Computer Vision, Marseille, France, October 18, 2008.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.
PhD Students
Somers Vladimir Dominic K., Gerard Valentin, Xiong Weijiang, Hassan Mariam, Haghighi Yasaman, Rahimi Noshanagh Parsa, Abdelfattah Mohamed Ossama Ahmed, Hosseininejad Reyhaneh, Shukla Megh, Luan Po-Chien, Van Delft Bastien, Feng Lan, Rahimi Ahmad, Gao Yang, Borhani Yasamin
Past EPFL PhD Students
George Adaimi, Parth Ashit Kothari, Lorenzo Bertoni, Yuejiang Liu, Saeed Saadatnejad, Brian Alan Tappy-Sifringer, Mohammadhossein Bahari, Melika Behjati
Past EPFL PhD Students as codirector
Courses
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)
Frontiers of Deep Learning for Engineers
The seminar aims at discussing recent research papers in the field of deep learning, implementing the transferability/adaptability of the proposed approaches to applications in the field of research of the Ph.D. student.
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)
Programming and software development for engineers
Python programming course to advance students' existing programming skills and help write better software. The course will teach best practices and techniques such as refactoring, debugging, and unit testing.