Search Results for author:
Found 9 papers, 3 papers with code
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.
