Search Results for author:
Found 10 papers, 3 papers with code
Characterization of the Autonomic Nervous System Activity in Females Classified According to Mood Scores During the Follicular Phase
This study aimed to classify participants based on their scores on a mood questionnaire during the follicular phase and to evaluate their autonomic nervous system (ANS) activity using a simple device that measures pulse waves from the earlobe.
TransPoser: Transformer as an Optimizer for Joint Object Shape and Pose Estimation
We propose a novel method for joint estimation of shape and pose of rigid objects from their sequentially observed RGB-D images.
InCrowdFormer: On-Ground Pedestrian World Model From Egocentric Views
We introduce an on-ground Pedestrian World Model, a computational model that can predict how pedestrians move around an observer in the crowd on the ground plane, but from just the egocentric-views of the observer.
ViewBirdiformer: Learning to recover ground-plane crowd trajectories and ego-motion from a single ego-centric view
We introduce a novel learning-based method for view birdification, the task of recovering ground-plane trajectories of pedestrians of a crowd and their observer in the same crowd just from the observed ego-centric video.
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces
Multi-agent path planning (MAPP) in continuous spaces is a challenging problem with significant practical importance.
View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements
We introduce view birdification, the problem of recovering ground-plane movements of people in a crowd from an ego-centric video captured from an observer (e. g., a person or a vehicle) also moving in the crowd.
Path Planning using Neural A* Search
We present Neural A*, a novel data-driven search method for path planning problems.
L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-aware Robot Navigation
This work presents a deep reinforcement learning framework for interactive navigation in a crowded place.
Crowd Density Forecasting by Modeling Patch-based Dynamics
To address this task, we have developed the patch-based density forecasting network (PDFN), which enables forecasting over a sequence of crowd density maps describing how crowded each location is in each video frame.
A Linear Generalized Camera Calibration From Three Intersecting Reference Planes
This paper presents a new generalized (or ray-pixel, raxel) camera calibration algorithm for camera systems involving distortions by unknown refraction and reflection processes.
