88 citations · 137 across the 7 of their papers we have counts for
10 papers
SUTRA: Scalable Multilingual Language Model Architecture
Abhijit Bendale, Michael Sapienza, Steven Ripplinger +3
In this paper, we introduce SUTRA, multilingual Large Language Model architecture capable of understanding, reasoning, and generating text in over 50 languages. SUTRA's design uniq…
Straight to Shapes++: Real-time Instance Segmentation Made More Accurate
Laurynas Miksys, Saumya Jetley, Michael Sapienza +2
Instance segmentation is an important problem in computer vision, with applications in autonomous driving, drone navigation and robotic manipulation. However, most existing methods…
Spatio-temporal Human Action Localisation and Instance Segmentation in Temporally Untrimmed Videos
Suman Saha, Gurkirt Singh, Michael Sapienza +2
Current state-of-the-art human action recognition is focused on the classification of temporally trimmed videos in which only one action occurs per frame. In this work we address t…
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure
Victor Adrian Prisacariu, Olaf Kähler, Stuart Golodetz +4
Volumetric models have become a popular representation for 3D scenes in recent years. One breakthrough leading to their popularity was KinectFusion, which focuses on 3D reconstruct…
Incremental Tube Construction for Human Action Detection
Harkirat Singh Behl, Michael Sapienza, Gurkirt Singh +3
Current state-of-the-art action detection systems are tailored for offline batch-processing applications. However, for online applications like human-robot interaction, current sys…
Online Real-time Multiple Spatiotemporal Action Localisation and Prediction
Gurkirt Singh, Suman Saha, Michael Sapienza +2
We present a deep-learning framework for real-time multiple spatio-temporal (S/T) action localisation, classification and early prediction. Current state-of-the-art approaches work…