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Sai Mitheran

3 accepted papers

2024

Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets

NeurIPS 2024poster

Top-down Bird's Eye View (BEV) maps are a popular perception representation for ground robot navigation due to their richness and flexibility for downstream tasks. While recent methods have shown promise for predicting BEV maps from First-Person View (FPV) images, their generalizability is limited t…

2022

Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding

RA-L 2022

Global and local relational reasoning enable scene understanding models to perform human-like scene analysis and understanding. Scene understanding enables better semantic segmentation and object-to-object interaction detection. In the medical domain, a robust surgical scene understanding model allo

Cited by 44SourcecodeScholar
2022

Rethinking Feature Extraction: Gradient-Based Localized Feature Extraction for End-To-End Surgical Downstream Tasks

RA-L 2022

Several approaches have been introduced to understand surgical scenes through downstream tasks like captioning and surgical scene graph generation. However, most of them heavily rely on an independent object detector and region-based feature extractor. Encompassing computationally expensive detectio

Cited by 4SourceScholar