5 citations · 8 across the 8 of their papers we have counts for
9 papers
MapleGrasp: Mask-guided Feature Pooling for Language-driven Efficient Robotic Grasping
Vineet Bhat, Naman Patel, Prashanth Krishnamurthy +2
Robotic manipulation of unseen objects via natural language commands remains challenging. Language driven robotic grasping (LDRG) predicts stable grasp poses from natural language…
RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction with Spatio-Temporal Aggregation
Naman Patel, Prashanth Krishnamurthy, Farshad Khorrami
Mapping and understanding complex 3D environments is fundamental to how autonomous systems perceive and interact with the physical world, requiring both precise geometric reconstru…
Open-Architecture End-to-End System for Real-World Autonomous Robot Navigation
Venkata Naren Devarakonda, Ali Umut Kaypak, Raktim Gautam Goswami +4
Enabling robots to autonomously navigate unknown, complex, and dynamic real-world environments presents several challenges, including imperfect perception, partial observability, l…
FlashMix: Fast Map-Free LiDAR Localization via Feature Mixing and Contrastive-Constrained Accelerated Training
Raktim Gautam Goswami, Naman Patel, Prashanth Krishnamurthy +1
Map-free LiDAR localization systems accurately localize within known environments by predicting sensor position and orientation directly from raw point clouds, eliminating the need…
SALSA: Swift Adaptive Lightweight Self-Attention for Enhanced LiDAR Place Recognition
Raktim Gautam Goswami, Naman Patel, Prashanth Krishnamurthy +1
Large-scale LiDAR mappings and localization leverage place recognition techniques to mitigate odometry drifts, ensuring accurate mapping. These techniques utilize scene representat…
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring
Hao Fu, Naman Patel, Prashanth Krishnamurthy +1
Detection of out-of-distribution (OOD) samples is crucial for safe real-world deployment of machine learning models. Recent advances in vision language foundation models have made…
AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders
Wele Gedara Chaminda Bandara, Naman Patel, Ali Gholami +3
Masked Autoencoders (MAEs) learn generalizable representations for image, text, audio, video, etc., by reconstructing masked input data from tokens of the visible data. Current MAE…
Bait and Switch: Online Training Data Poisoning of Autonomous Driving Systems
Naman Patel, Prashanth Krishnamurthy, Siddharth Garg +1
We show that by controlling parts of a physical environment in which a pre-trained deep neural network (DNN) is being fine-tuned online, an adversary can launch subtle data poisoni…
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy
Naman Patel, Apoorva Nandini Saridena, Anna Choromanska +2
The paper proposes an on-line monitoring framework for continuous real-time safety/security in learning-based control systems (specifically application to a unmanned ground vehicle…