32 citations · 108 across the 33 of their papers we have counts for
5 papers · 1 filter
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs
Saravanabalagi Ramachandran, Jonathan Horgan, Ganesh Sistu +1
Scene categorization is a useful precursor task that provides prior knowledge for many advanced computer vision tasks with a broad range of applications in content-based image inde…
Woodscape Fisheye Object Detection for Autonomous Driving -- CVPR 2022 OmniCV Workshop Challenge
Saravanabalagi Ramachandran, Ganesh Sistu, Varun Ravi Kumar +2
Object detection is a comprehensively studied problem in autonomous driving. However, it has been relatively less explored in the case of fisheye cameras. The strong radial distort…
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation
Arindam Das, Sudip Das, Ganesh Sistu +5
Most of the existing works on pedestrian pose estimation do not consider estimating the pose of an occluded pedestrian, as the annotations of the occluded parts are not available i…
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation
Pramit Dutta, Ganesh Sistu, Senthil Yogamani +2
Generating a detailed near-field perceptual model of the environment is an important and challenging problem in both self-driving vehicles and autonomous mobile robotics. A Bird Ey…
Neuroevolutionary Multi-objective approaches to Trajectory Prediction in Autonomous Vehicles
Fergal Stapleton, Edgar Galván, Ganesh Sistu +1
The incentive for using Evolutionary Algorithms (EAs) for the automated optimization and training of deep neural networks (DNNs), a process referred to as neuroevolution, has gaine…