most citedGeo-Context Aware Study of Vision-Based Autonomous Driving Models and Spatial Video Data

26 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

A Tiered GAN Approach for Monet-Style Image Generation

FNU Neha, Deepshikha Bhati, Deepak Kumar Shukla +1

Generative Adversarial Networks (GANs) have proven to be a powerful tool in generating artistic images, capable of mimicking the styles of renowned painters, such as Claude Monet.…

cs.NE2024

Neural network interpretability with layer-wise relevance propagation: novel techniques for neuron selection and visualization

Deepshikha Bhati, Fnu Neha, Md Amiruzzaman +3

Interpreting complex neural networks is crucial for understanding their decision-making processes, particularly in applications where transparency and accountability are essential.…

cs.CV2024★ 2 cited

From classical techniques to convolution-based models: A review of object detection algorithms

Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla +1

Object detection is a fundamental task in computer vision and image understanding, with the goal of identifying and localizing objects of interest within an image while assigning t…

cs.HC2024

Visualizing Routes with AI-Discovered Street-View Patterns

Tsung Heng Wu, Md Amiruzzaman, Ye Zhao +2

Street-level visual appearances play an important role in studying social systems, such as understanding the built environment, driving routes, and associated social and economic f…

cs.HC2021★ 26 cited

Geo-Context Aware Study of Vision-Based Autonomous Driving Models and Spatial Video Data

Suphanut Jamonnak, Ye Zhao, Xinyi Huang +1

Vision-based deep learning (DL) methods have made great progress in learning autonomous driving models from large-scale crowd-sourced video datasets. They are trained to predict in…