Search Results for author:
Found 5 papers, 3 papers with code
AggNet: Learning to Aggregate Faces for Group Membership Verification
In some face recognition applications, we are interested to verify whether an individual is a member of a group, without revealing their identity.
What we see and What we don't see: Imputing Occluded Crowd Structures from Robot Sensing
We address the problem of inferring the human occupancy in the space around the robot, in blind spots, beyond the range of its sensing capabilities.
OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets
Human Trajectory Prediction (HTP) has gained much momentum in the last years and many solutions have been proposed to solve it.
Data-Driven Crowd Simulation with Generative Adversarial Networks
This paper presents a novel data-driven crowd simulation method that can mimic the observed traffic of pedestrians in a given environment.
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs
We show through experiments on real and synthetic data that the proposed method leads to generate more diverse samples and to preserve the modes of the predictive distribution.
Ranked #1 on
Trajectory Prediction
on Stanford Drone
(FDE (in world coordinates) metric)
