most citedConvolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2025

Reliable Policy Iteration: Performance Robustness Across Architecture and Environment Perturbations

S. R. Eshwar, Aniruddha Mukherjee, Kintan Saha +4

In a recent work, we proposed Reliable Policy Iteration (RPI), that restores policy iteration's monotonicity-of-value-estimates property to the function approximation setting. Here…

cs.CV2025

RAISE: Realness Assessment for Image Synthesis and Evaluation

Aniruddha Mukherjee, Spriha Dubey, Somdyuti Paul

The rapid advancement of generative AI has enabled the creation of highly photorealistic visual content, offering practical substitutes for real images and videos in scenarios wher…

cs.CV2025★ 2 cited

Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture

Mitul Goswami, Sainath Dey, Aniruddha Mukherjee +2

This study demonstrates a novel use of the U-Net architecture in the field of semantic segmentation to detect landforms using preprocessed satellite imagery. The study applies the…

cs.LG2025

Precision Agriculture Revolution: Integrating Digital Twins and Advanced Crop Recommendation for Optimal Yield

Sayan Banerjee, Aniruddha Mukherjee, Suket Kamboj

With the help of a digital twin structure, Agriculture 4.0 technologies like weather APIs (Application programming interface), GPS (Global Positioning System) modules, and NPK (Nit…

cs.CE2025

KabaddiPy: A package to enable access to Professional Kabaddi Data

Bhaskar Lalwani, Aniruddha Mukherjee

Kabaddi, a contact team sport of Indian origin, has seen a dramatic rise in global popularity, highlighted by the upcoming Kabaddi World Cup in 2025 with over sixteen international…

cs.CV2023★ 1 cited

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision

Lu Ling, Yichen Sheng, Zhi Tu +17

We have witnessed significant progress in deep learning-based 3D vision, ranging from neural radiance field (NeRF) based 3D representation learning to applications in novel view sy…