8 citations · 9 across the 4 of their papers we have counts for
7 papers
GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving
Lloyd Russell, Anthony Hu, Lorenzo Bertoni +4
Generative models offer a scalable and flexible paradigm for simulating complex environments, yet current approaches fall short in addressing the domain-specific requirements of au…
Do Pedestrians Pay Attention? Eye Contact Detection in the Wild
Younes Belkada, Lorenzo Bertoni, Romain Caristan +2
In urban or crowded environments, humans rely on eye contact for fast and efficient communication with nearby people. Autonomous agents also need to detect eye contact to interact…
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi
Many image-based perception tasks can be formulated as detecting, associating and tracking semantic keypoints, e.g., human body pose estimation and tracking. In this work, we prese…
Perceiving Humans: from Monocular 3D Localization to Social Distancing
Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi
Perceiving humans in the context of Intelligent Transportation Systems (ITS) often relies on multiple cameras or expensive LiDAR sensors. In this work, we present a new cost-effect…
MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization
Lorenzo Bertoni, Sven Kreiss, Taylor Mordan +1
Monocular and stereo visions are cost-effective solutions for 3D human localization in the context of self-driving cars or social robots. However, they are usually developed indepe…
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi
We tackle the fundamentally ill-posed problem of 3D human localization from monocular RGB images. Driven by the limitation of neural networks outputting point estimates, we address…
PifPaf: Composite Fields for Human Pose Estimation
Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi
We propose a new bottom-up method for multi-person 2D human pose estimation that is particularly well suited for urban mobility such as self-driving cars and delivery robots. The n…