3 citations · 3 across the 11 of their papers we have counts for
4 papers · 2 filters
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…