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Alexandre Massoud Alahi

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Publications associées (121)

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Learning Decoupled Representations for Human Pose Forecasting

Alexandre Massoud Alahi, Saeed Saadatnejad, Yuejiang Liu, Taylor Ferdinand Mordan

Human pose forecasting involves complex spatiotemporal interactions between body parts (e.g., arms, legs, spine). State-of-the-art approaches use Long Short-Term Memories (LSTMs) or Variational AutoEncoders (VAEs) to solve the problem. Yet, they do not eff ...

IEEE2021

CAR-Net: Clairvoyant Attentive Recurrent Network

Alexandre Massoud Alahi

We present an interpretable framework for path prediction that leverages dependencies between agents' behaviors and their spatial navigation environment. We exploit two sources of information: the past motion trajectory of the agent of interest and a wide ...

2018

Real-Time Localization for Closed-Loop Control of Assistive Furniture

Chuanfang Ning, Auke Ijspeert, Alexandre Massoud Alahi, George Adaimi, Anastasia Bolotnikova, Lixuan Tang

For people with limited mobility, navigating in cluttered indoor environment is challenging. In this work, we propose a mobile assistive furniture suite that is designed to ease the life of people with special needs in indoor movement. To enable intelligen ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

When Your AI Becomes a Target: AI Security Incidents and Best Practices

Alexandre Massoud Alahi, Kathrin Grosse

In contrast to vast academic efforts to study AI security, few real-world reports of AI security incidents exist. Released incidents prevent a thorough investigation of the attackers' motives, as crucial information about the company and AI application is ...

AAAI Press2024

Foreground Silhouette Extraction robust to Sudden Changes of background Appearance

Pierre Vandergheynst, Alexandre Massoud Alahi, Luigi Bagnato, Damien Colin Matti

Vision-based background subtraction algorithms model the intensity variation across time to classify a pixel as foreground. Unfortunately, such algorithms are sensitive to appearance changes of the background such as sudden changes of illumination or when ...

2012

Toward contactless human thermal monitoring: A framework for Machine Learning-based human thermo-physiology modeling augmented with computer vision

Alexandre Massoud Alahi, Dolaana Khovalyg, Mohamad Rida, Mohamed Ossama Ahmed Abdelfattah

The transition towards a human-centered indoor climate is beneficial from occupants’ thermal comfort and from an energy reduction perspective. However, achieving this goal requires the knowledge of the thermal state of individuals at the level of body part ...

2023

SCOOP: A Real-Time Sparsity Driven People Localization Algorithm

Pierre Vandergheynst, Alexandre Massoud Alahi, Mohammad Golbabaee

Detecting and tracking people in scenes monitored by cameras is an important step in many application scenarios such as surveillance, urban planning or behavioral studies to name a few. The amount of data produced by camera feeds is so large that it is als ...

Springer Verlag2012

Bilinear Multimodal Discriminator for Adversarial Domain Adaptation with Privileged Information

Alexandre Massoud Alahi, Taylor Ferdinand Mordan

Over the past few years, deep Convolutional Neural Networks have shown outstanding performance on semantic segmentation, which is an essential tool needed by self-driving cars to understand their environments. However, their training relies on large datase ...

2020

Sparsity-driven People Localization Algorithm: Evaluation in Crowded Scenes Environments

Pierre Vandergheynst, Alexandre Massoud Alahi, Laurent Jacques

We propose to evaluate our sparsity driven people localization framework on crowded complex scenes. The problem is recast as a linear inverse problem. It relies on deducing an occupancy vector, i.e. the discretized occupancy of people on the ground, from t ...

2009

Method and system for automatic objects localization

Pierre Vandergheynst, Alexandre Massoud Alahi, Mohammad Golbabaee

A method for automatic localization of objects in a mask. The method includes building a dictionary or atoms, wherein each atom models the presence of one object at one location and iteratively determining the atom of said dictionary which is best correlat ...

2010

Detecting 32 Pedestrian Attributes for Autonomous Vehicles

Alexandre Massoud Alahi, Taylor Ferdinand Mordan

Pedestrians are arguably one of the most safety-critical road users to consider for autonomous vehicles in urban areas. In this paper, we address the problem of jointly detecting pedestrians and recognizing 32 pedestrian attributes from a single image. The ...

IEEE Institute of Electrical and Electronics Engineers2022

Object Detection and Matching with Mobile Cameras Collaborating with Fixed Cameras

Michel Bierlaire, Murat Kunt, Alexandre Massoud Alahi

A system is presented to detect and match any objects with mobile cameras collaborating with fixed cameras observing the same scene. No training data is needed. Various object descriptors are studied based on grids of region descriptors. Region descriptors ...

2008

Training Traffic Light Behavior with End-to-End Learning

Alexandre Massoud Alahi

In this work, we study neural network architectures that will reduce the number of infractions made by autonomous-driving agents. These agents control vehicles by providing future waypoints directly from a forward-facing camera. Building on top of the teac ...

Springer2023

Learning online combinatorial stochastic policies with deep reinforcement

Alexandre Massoud Alahi

2019

Certified Human Trajectory Prediction

Alexandre Massoud Alahi, Seyed Mohsen Moosavi Dezfooli, Saeed Saadatnejad, Mohammadhossein Bahari

Predicting human trajectories is essential for the safe operation of autonomous vehicles, yet current data-driven models often lack robustness in case of noisy inputs such as adversarial examples or imperfect observations. Although some trajectory predicti ...

2025

Simple Yet Effective Action Recognition for Autonomous Driving

Alexandre Massoud Alahi, Taylor Ferdinand Mordan, Lorenzo Bertoni

Self-driving cars and delivery robots are set to shape the future of transportation, but they still have to learn how to co-exist with humans in close proximity. Autonomous systems need to detect pedestrians and understand the meaning of their actions befo ...

2022

Composite Relationship Fields with Transformers for Scene Graph Generation

Alexandre Massoud Alahi, George Adaimi, David Mizrahi

Scene graph generation (SGG) methods extract relationships between objects. While most methods focus on improving top-down approaches, which build a scene graph based on detected objects from an off-the-shelf object detector, there is a limited amount of w ...

Los Alamitos2023

Long-term path prediction in urban scenarios using circular distributions

Alexandre Massoud Alahi

Human ability to foresee the near future plays a key role in everyone's life to prevent potentially dangerous situations. To be able to make predictions is crucial when people have to interact with the surrounding environment. Modeling such capability can ...

2018

Keypoint Communities

Alexandre Massoud Alahi, Sven Kreiss

2021

Enhancing Discrete Choice Models with Neural Networks

Alexandre Massoud Alahi, Virginie Janine Camille Lurkin, Brian Alan Tappy-Sifringer

2018