3 citations · 3 across the 2 of their papers we have counts for
10 papers · 1 filter
LaneAF: Robust Multi-Lane Detection with Affinity Fields
Hala Abualsaud, Sean Liu, David Lu +3
This study presents an approach to lane detection involving the prediction of binary segmentation masks and per-pixel affinity fields. These affinity fields, along with the binary…
TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking
Akshay Rangesh, Pranav Maheshwari, Mez Gebre +3
This study follows many classical approaches to multi-object tracking (MOT) that model the problem using dynamic graphical data structures, and adapts this formulation to make it a…
Forced Spatial Attention for Driver Foot Activity Classification
Akshay Rangesh, Mohan M. Trivedi
This paper provides a simple solution for reliably solving image classification tasks tied to spatial locations of salient objects in the scene. Unlike conventional image classific…
3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams
Walter Zimmer, Akshay Rangesh, Mohan Trivedi
In this paper, we focus on obtaining 2D and 3D labels, as well as track IDs for objects on the road with the help of a novel 3D Bounding Box Annotation Toolbox (3D BAT). Our open s…
Ground Plane Polling for 6DoF Pose Estimation of Objects on the Road
Akshay Rangesh, Mohan M. Trivedi
This paper introduces an approach to produce accurate 3D detection boxes for objects on the ground using single monocular images. We do so by merging 2D visual cues, 3D object dime…
HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver Hands
Akshay Rangesh, Mohan M. Trivedi
Tasks related to human hands have long been part of the computer vision community. Hands being the primary actuators for humans, convey a lot about activities and intents, in addit…