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Using Image Priors to Improve Scene Understanding
Brigit Schroeder, Hanlin Tang, Alexandre Alahi
Semantic segmentation algorithms that can robustly segment objects across multiple camera viewpoints are crucial for assuring navigation and safety in emerging applications such as…
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…
Deep Visual Re-Identification with Confidence
George Adaimi, Sven Kreiss, Alexandre Alahi
Transportation systems often rely on understanding the flow of vehicles or pedestrian. From traffic monitoring at the city scale, to commuters in train terminals, recent progress i…
Convolutional Relational Machine for Group Activity Recognition
Sina Mokhtarzadeh Azar, Mina Ghadimi Atigh, Ahmad Nickabadi +1
We present an end-to-end deep Convolutional Neural Network called Convolutional Relational Machine (CRM) for recognizing group activities that utilizes the information in spatial r…
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…