3 citations · 3 across the 11 of their papers we have counts for
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Role-based Effectiveness of an Epistemic Uncertainty Estimate in Training Models for Semantic Segmentation of 3D LiDAR Point Clouds
Krishnakumar N, Jaya Sreevalsan-Nair
Point cloud segmentation is a fundamental task in 3D data analysis, with applications across robotics, augmented and virtual reality, and remote sensing. However, the inherent spar…
TVT-PAPD: Pathology-Aware Prototype Distillation for Self-Supervised Whole Slide Image Classification
Ramesh Naidu Laveti, Jaya Sreevalsan-Nair, T K Srikanth
Self-supervised learning (SSL) has emerged as an effective paradigm for learning transferable representations from large-scale unlabeled whole slide images (WSIs). However, existin…
Consensus Clustering of Free-Viewing Gaze Data: New Insights into Human-Information Interaction
Beryl Gnanaraj, Jaya Sreevalsan-Nair, Saqib Alam Ansari +1
Free-viewing gaze data provides a rich, task-free window into human visual attention. Conventional exploratory data analysis of the data provides user attention patterns through fi…
Fusion and Grouping Strategies in Deep Learning for Local Climate Zone Classification of Multimodal Remote Sensing Data
Ancymol Thomas, Jaya Sreevalsan-Nair
Local Climate Zones (LCZs) give a zoning map to study urban structures and land use and analyze the impact of urbanization on local climate. Multimodal remote sensing enables LCZ c…
Evolution of Data-driven Single- and Multi-Hazard Susceptibility Mapping and Emergence of Deep Learning Methods
Jaya Sreevalsan-Nair, Aswathi Mundayatt
Data-driven susceptibility mapping of natural hazards has harnessed the advances in classification methods used on heterogeneous sources represented as raster images. Susceptibilit…
CCESAR: Coastline Classification-Extraction From SAR Images Using CNN-U-Net Combination
Vidhu Arora, Shreyan Gupta, Ananthakrishna Kudupu +3
In this article, we improve the deep learning solution for coastline extraction from Synthetic Aperture Radar (SAR) images by proposing a two-stage model involving image classifica…
Tensor Fields for Data Extraction from Chart Images: Bar Charts and Scatter Plots
Jaya Sreevalsan-Nair, Komal Dadhich, Siri Chandana Daggubati
Charts are an essential part of both graphicacy (graphical literacy), and statistical literacy. As chart understanding has become increasingly relevant in data science, automating…
Augmented Semantic Signatures of Airborne LiDAR Point Clouds for Comparison
Jaya Sreevalsan-Nair, Pragyan Mohapatra
LiDAR point clouds provide rich geometric information, which is particularly useful for the analysis of complex scenes of urban regions. Finding structural and semantic differences…