Constructing a large-scale landslide database across heterogeneous environments using task-specific model updates
Recent small-scale studies for pixel-wise labeling of potential landslide areas in remotely-
sensed images using deep learning (DL) showed potential but were based on data from …
sensed images using deep learning (DL) showed potential but were based on data from …
Patchrefinenet: Improving binary segmentation by incorporating signals from optimal patch-wise binarization
S Nagendra, D Kifer - Proceedings of the IEEE/CVF Winter …, 2024 - openaccess.thecvf.com
The purpose of binary segmentation models is to determine which pixels belong to an object
of interest (eg, which pixels in an image are part of roads). The models assign a logit score …
of interest (eg, which pixels in an image are part of roads). The models assign a logit score …
SAMIC: Segment Anything with In-Context Spatial Prompt Engineering
Few-shot segmentation is the problem of learning to identify specific types of objects (eg,
airplanes) in images from a small set of labeled reference images. The current state of the …
airplanes) in images from a small set of labeled reference images. The current state of the …
Emotion Recognition from the perspective of Activity Recognition
S Nagendra, P Panigrahi - arXiv preprint arXiv:2403.16263, 2024 - arxiv.org
Applications of an efficient emotion recognition system can be found in several domains
such as medicine, driver fatigue surveillance, social robotics, and human-computer …
such as medicine, driver fatigue surveillance, social robotics, and human-computer …
Thermal Analysis for NVIDIA GTX480 Fermi GPU Architecture
S Nagendra - arXiv preprint arXiv:2403.16239, 2024 - arxiv.org
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 …
GTX480 Fermi GPU architecture and compare heat dissipation and power trends for matrix …
Towards Designing Deep Learning Architectures for Improving Semantic Segmentation Performance
S Nagendra - 2025 - etda.libraries.psu.edu
Semantic segmentation is a key component in various visual understanding systems,
enabling the precise partitioning of images (or video frames) into meaningful segments by …
enabling the precise partitioning of images (or video frames) into meaningful segments by …