Alexandre Massoud Alahi

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Publications associées (121)

HELVIPAD: A Real-World Dataset for Omnidirectional Stereo Depth Estimation

Alexandre Massoud Alahi

Despite considerable progress in stereo depth estimation, omnidirectional imaging remains underexplored, mainly due to the lack of appropriate data. We introduce Helvipad, a real-world dataset for omnidirectional stereo depth estimation, consisting of 40K ...

Institute of Electrical and Electronics Engineers2025

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model

Alexandre Massoud Alahi

Omnidirectional depth perception is essential for mobile robotics applications that require scene understanding across a full 360° field of view. Camera-based setups offer a cost-effective option by using stereo depth estimation to generate dense, high-res ...

Institute of Electrical and Electronics Engineers2025

GeoDistill: Geometry-Guided Self-Distillation for Weakly Supervised Cross-View Localization

Alexandre Massoud Alahi

Cross-view localization, the task of estimating a camera's 3-degrees-of-freedom (3-DoF) pose by aligning ground-level images with satellite images, is crucial for large-scale outdoor applications like autonomous navigation and augmented reality. Existing m ...

2025

FG2 : Fine-Grained Cross-View Localization by Fine-Grained Feature Matching

Alexandre Massoud Alahi

2025

Social-Pose: Enhancing Trajectory Prediction with Human Body Pose

Alexandre Massoud Alahi, Saeed Saadatnejad, Yang Gao

Accurate human trajectory prediction is one of the most crucial tasks for autonomous driving, ensuring its safety. Yet, existing models often fail to fully leverage the visual cues that humans subconsciously communicate when navigating the space. In this w ...

IEEE Institute of Electrical and Electronics Engineers2025

Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations

Alexandre Massoud Alahi, Ahmad Rahimi, Yuejiang Liu

Modeling spatial-temporal interactions among neighboring agents is at the heart of multi-agent problems such as motion forecasting and crowd navigation. Despite notable progress, it remains unclear to which extent modern representations can capture the cau ...

2025

Unified Human Localization and Trajectory Prediction with Monocular Vision

Alexandre Massoud Alahi, Yang Gao

Conventional human trajectory prediction models rely on clean curated data, requiring specialized equipment or manual labeling, which is often impractical for robotic applications. The existing predictors tend to overfit to clean observation affecting thei ...

IEEE2025

MotionMap: Representing Multimodality in Human Pose Forecasting

Mathieu Salzmann, Alexandre Massoud Alahi, Saeed Saadatnejad, Megh Hiren Shukla

Human pose forecasting is inherently multimodal since multiple futures exist for an observed pose sequence. However, evaluating multimodality is challenging since the task is illposed. Therefore, we first propose an alternative paradigm to make the task we ...

2025

NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability

Alexandre Massoud Alahi, Krishna Kanth Nakka

The generation of transferable adversarial perturbations typically involves training a generator to maximize embedding separation between clean and adversarial images at a single mid-layer of a source model. In this work, we build on this approach and intr ...

IEEE2025

Eye-Rubbing Detection Using a Smartwatch: A Feasibility Study Demonstrated High Accuracy With Machine Learning

Alexandre Massoud Alahi

Purpose: In this work, we present a new machine learning method based on the transformer neural network to detect eye rubbing using a smartwatch in a real-life setting. In ophthalmology, the accurate detection and prevention of eye rubbing could reduce inc ...

2024

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