39 citations · 46 across the 8 of their papers we have counts for
8 papers
SmartScan: An AI-based Interactive Framework for Automated Region Extraction from Satellite Images
Savinay Nagendra, Kashif Rashid
The deployment of a continuous methane monitoring system requires determining the optimal number and placement of fixed sensors. However, planning is labor-intensive, requiring ext…
SAMIC: Segment Anything with In-Context Spatial Prompt Engineering
Savinay Nagendra, Kashif Rashid, Chaopeng Shen +1
Few-shot segmentation is the problem of learning to identify specific types of objects (e.g., airplanes) in images from a small set of labeled reference images. The current state o…
Emotion Recognition from the perspective of Activity Recognition
Savinay Nagendra, Prapti Panigrahi
Applications of an efficient emotion recognition system can be found in several domains such as medicine, driver fatigue surveillance, social robotics, and human-computer interacti…
Thermal Analysis for NVIDIA GTX480 Fermi GPU Architecture
Savinay Nagendra
In this project, we design a four-layer (Silicon|TIM|Silicon|TIM), 3D floor plan for NVIDIA GTX480 Fermi GPU architecture and compare heat dissipation and power trends for matrix m…
Estimating Uncertainty in Landslide Segmentation Models
Savinay Nagendra, Chaopeng Shen, Daniel Kifer
Landslides are a recurring, widespread hazard. Preparation and mitigation efforts can be aided by a high-quality, large-scale dataset that covers global at-risk areas. Such a datas…
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization
Savinay Nagendra, Chaopeng Shen, Daniel Kifer
The purpose of binary segmentation models is to determine which pixels belong to an object of interest (e.g., which pixels in an image are part of roads). The models assign a logit…
Learning Dynamics from Kinematics: Estimating 2D Foot Pressure Maps from Video Frames
Christopher Funk, Savinay Nagendra, Jesse Scott +4
Pose stability analysis is the key to understanding locomotion and control of body equilibrium, with applications in numerous fields such as kinesiology, medicine, and robotics. In…
Comparison of Reinforcement Learning algorithms applied to the Cart Pole problem
Savinay Nagendra, Nikhil Podila, Rashmi Ugarakhod +1
Designing optimal controllers continues to be challenging as systems are becoming complex and are inherently nonlinear. The principal advantage of reinforcement learning (RL) is it…