6 papers
What do VLM-Based Vision-Language Navigation Models Rely on: Interpreting and Steering Policy Behavior
Débora Oliveira Makowski, Samiran Gode, Abhijeet Nayak +4
Modern Vision-Language Navigation (VLN) models rely mostly on pre-trained large Vision-Language Models (VLMs) to predict navigation actions. While this fusion of language instructi…
MetricNet: Recovering Metric Scale in Generative Navigation Policies
Abhijeet Nayak, Débora Oliveira Makowski, Samiran Gode +2
Generative navigation policies have made rapid progress in improving end-to-end learned navigation. Despite their promising results, this paradigm has two structural problems. Firs…
FlowNav: Combining Flow Matching and Depth Priors for Efficient Navigation
Samiran Gode, Abhijeet Nayak, Débora N. P. Oliveira +3
Effective robot navigation in unseen environments is a challenging task that requires precise control actions at high frequencies. Recent advances have framed it as an image-goal-c…
Did You Hear That? Introducing AADG: A Framework for Generating Benchmark Data in Audio Anomaly Detection
Ksheeraja Raghavan, Samiran Gode, Ankit Shah +4
We introduce a novel, general-purpose audio generation framework specifically designed for anomaly detection and localization. Unlike existing datasets that predominantly focus on…
SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars
Samiran Gode, Akshay Hinduja, Michael Kaess
In this paper, we address the challenging problem of data association for underwater SLAM through a novel method for sonar image correspondence using learned features. We introduce…
Understanding Political Polarisation using Language Models: A dataset and method
Samiran Gode, Supreeth Bare, Bhiksha Raj +1
Our paper aims to analyze political polarization in US political system using Language Models, and thereby help candidates make an informed decision. The availability of this infor…