activity
20222024
most citedOptimizing Visual Question Answering Models for Driving: Bridging the Gap Between Human and Machine Attention Patterns

3 citations · 8 across the 14 of their papers we have counts for

collaborators

8 papers

cs.CV2024

FisheyeDetNet: 360° Surround view Fisheye Camera based Object Detection System for Autonomous Driving

Ganesh Sistu, Senthil Yogamani

Object detection is a mature problem in autonomous driving with pedestrian detection being one of the first deployed algorithms. It has been comprehensively studied in the literatu…

cs.CV20241 cited

Depth Estimation using Weighted-loss and Transfer Learning

Muhammad Adeel Hafeez, Michael G. Madden, Ganesh Sistu +1

Depth estimation from 2D images is a common computer vision task that has applications in many fields including autonomous vehicles, scene understanding and robotics. The accuracy…

cs.CV2024

Scalable and Efficient Hierarchical Visual Topological Mapping

Saravanabalagi Ramachandran, Jonathan Horgan, Ganesh Sistu +1

Hierarchical topological representations can significantly reduce search times within mapping and localization algorithms. Although recent research has shown the potential for such…

cs.CV2024

Beyond the Known: Adversarial Autoencoders in Novelty Detection

Muhammad Asad, Ihsan Ullah, Ganesh Sistu +1

In novelty detection, the goal is to decide if a new data point should be categorized as an inlier or an outlier, given a training dataset that primarily captures the inlier distri…

cs.CV20231 cited

Self-Supervised Online Camera Calibration for Automated Driving and Parking Applications

Ciarán Hogan, Ganesh Sistu, Ciarán Eising

Camera-based perception systems play a central role in modern autonomous vehicles. These camera based perception algorithms require an accurate calibration to map the real world di…

cs.CV20231 cited

Towards a performance analysis on pre-trained Visual Question Answering models for autonomous driving

Kaavya Rekanar, Ciarán Eising, Ganesh Sistu +1

This short paper presents a preliminary analysis of three popular Visual Question Answering (VQA) models, namely ViLBERT, ViLT, and LXMERT, in the context of answering questions re…