Vennela Gudisa — accepted AI-conference papers

2023

An Automotive Radar Dataset For Object Classification

Akshad Shyam, Kusum Komalavally, Monika Gautam, Vamshikrishna Kancharla, Vennela Gudisa, Virendra Patil +2

ICASSP 2023accepted

Autonomous and semi-autonomous navigation systems use multiple sensors for perception. Amongst all the sensors, the most prominently used are camera, lidar and radar. In addition to being more expensive than radar, cameras and lidar fail to operate smoothly in adverse weather conditions. Radar, howe…

Cited by 0 Source ↗Scholar ↗

2016

Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation

Srinivas S. S. Kruthiventi, Vennela Gudisa, Jaley H. Dholakiya, R. Venkatesh Babu

CVPR 2016poster

Human eye fixations often correlate with locations of salient objects in the scene. However, only a handful of approaches have attempted to simultaneously address the related aspects of eye fixations and object saliency. In this work, we propose a deep convolutional neural network (CNN) capable of p…

Cited by 185 PDF ↗Scholar ↗