33 citations · 33 across the 3 of their papers we have counts for
5 papers
Towards Safer and Understandable Driver Intention Prediction
Mukilan Karuppasamy, Shankar Gangisetty, Shyam Nandan Rai +2
Autonomous driving (AD) systems are becoming increasingly capable of handling complex tasks, mainly due to recent advances in deep learning and AI. As interactions between autonomo…
Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD
Ruthvik Bokkasam, Shankar Gangisetty, A. H. Abdul Hafez +1
With the rapid advancements in autonomous driving, accurately predicting pedestrian behavior has become essential for ensuring safety in complex and unpredictable traffic condition…
ICPR 2024 Competition on Rider Intention Prediction
Shankar Gangisetty, Abdul Wasi, Shyam Nandan Rai +8
The recent surge in the vehicle market has led to an alarming increase in road accidents. This underscores the critical importance of enhancing road safety measures, particularly f…
Look, Read and Ask: Learning to Ask Questions by Reading Text in Images
Soumya Jahagirdar, Shankar Gangisetty, Anand Mishra
We present a novel problem of text-based visual question generation or TextVQG in short. Given the recent growing interest of the document image analysis community in combining tex…
PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation
Sindhu Hegde, Shankar Gangisetty
Point clouds, being the simple and compact representation of surface geometry of 3D objects, have gained increasing popularity with the evolution of deep learning networks for clas…