activity
20142023
most citedReal-time Crowd Tracking using Parameter Optimized Mixture of Motion Models

9 citations · 36 across the 34 of their papers we have counts for

collaborators

34 papers

cs.RO2023

AdVENTR: Autonomous Robot Navigation in Complex Outdoor Environments

Kasun Weerakoon, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor +1

We present a novel system, AdVENTR for autonomous robot navigation in unstructured outdoor environments that consist of uneven and vegetated terrains. Our approach is general and c…

cs.CV2023

UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception

Christopher Maxey, Jaehoon Choi, Hyungtae Lee +2

Tremendous variations coupled with large degrees of freedom in UAV-based imaging conditions lead to a significant lack of data in adequately learning UAV-based perception models. U…

cs.CL2023

DALE: Generative Data Augmentation for Low-Resource Legal NLP

Sreyan Ghosh, Chandra Kiran Evuru, Sonal Kumar +4

We present DALE, a novel and effective generative Data Augmentation framework for low-resource LEgal NLP. DALE addresses the challenges existing frameworks pose in generating effec…

cs.CL20233 cited

Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping +3

Large Language Models (LLMs) have revolutionized the domain of natural language processing (NLP) with remarkable capabilities of generating human-like text responses. However, desp…

eess.SP2023

Indoor Wireless Signal Modeling with Smooth Surface Diffraction Effects

Ruichen Wang, Samuel Audia, Dinesh Manocha

We present a novel algorithm that enhances the accuracy of electromagnetic field simulations in indoor environments by incorporating the Uniform Geometrical Theory of Diffraction (…

cs.RO2023

Using Lidar Intensity for Robot Navigation

Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Mohamed Elnoor +1

We present Multi-Layer Intensity Map, a novel 3D object representation for robot perception and autonomous navigation. Intensity maps consist of multiple stacked layers of 2D grid…