2 citations · 2 across the 3 of their papers we have counts for
6 papers
Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding
Yonggan Fu, Lexington Whalen, Abhinav Garg +23
We introduce Nemotron-Labs-Diffusion, a tri-mode language model (LM) that unifies AR, diffusion, and self-speculation decoding within a single architecture. Trained with a joint AR…
NVAutoNet: Fast and Accurate 360 3D Visual Perception For Self Driving
Trung Pham, Mehran Maghoumi, Wanli Jiang +9
Achieving robust and real-time 3D perception is fundamental for autonomous vehicles. While most existing 3D perception methods prioritize detection accuracy, they often overlook cr…
SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild
Ariel Caputo, Andrea Giachetti, Simone Soso +16
Gesture recognition is a fundamental tool to enable novel interaction paradigms in a variety of application scenarios like Mixed Reality environments, touchless public kiosks, ente…
DeepNAG: Deep Non-Adversarial Gesture Generation
Mehran Maghoumi, Eugene M. Taranta, Joseph J. LaViola
Synthetic data generation to improve classification performance (data augmentation) is a well-studied problem. Recently, generative adversarial networks (GAN) have shown superior i…
DeepGRU: Deep Gesture Recognition Utility
Mehran Maghoumi, Joseph J. LaViola
We propose DeepGRU, a novel end-to-end deep network model informed by recent developments in deep learning for gesture and action recognition, that is streamlined and device-agnost…
Code Park: A New 3D Code Visualization Tool
Pooya Khaloo, Mehran Maghoumi, Eugene Taranta +2
We introduce Code Park, a novel tool for visualizing codebases in a 3D game-like environment. Code Park aims to improve a programmer's understanding of an existing codebase in a ma…