activity
20172026
most citedREFA: Real-time Egocentric Facial Animations for Virtual Reality

3 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

Physical Intelligence, Bo Ai, Ali Amin +85

We present a new robotic foundation model, called , that can enable strong out-of-the-box performance in a wide range of scenarios. can follow diverse language i…

cs.SE2026★ 1 cited

The Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes

Redacted by arXiv

This document consolidates publicly reported technical details about Metas Llama 4 model family. It summarizes (i) released variants (Scout and Maverick) and the broader herd conte…

cs.CV2026★ 3 cited

REFA: Real-time Egocentric Facial Animations for Virtual Reality

Qiang Zhang, Tong Xiao, Haroun Habeeb +19

We present a novel system for real-time tracking of facial expressions using egocentric views captured from a set of infrared cameras embedded in a virtual reality (VR) headset. Ou…

cs.CL2025

Hybrid Architectures for Language Models: Systematic Analysis and Design Insights

Sangmin Bae, Bilge Acun, Chien-Yu Lin +5

Recent progress in large language models demonstrates that hybrid architectures--combining self-attention mechanisms with structured state space models like Mamba--can achieve a co…

cs.AI2024

The Llama 3 Herd of Models

Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri +556

Modern artificial intelligence (AI) systems are powered by foundation models. This paper presents a new set of foundation models, called Llama 3. It is a herd of language models th…

cs.CV2017

Coarse-to-Fine Lifted MAP Inference in Computer Vision

Haroun Habeeb, Ankit Anand, Mausam +1

There is a vast body of theoretical research on lifted inference in probabilistic graphical models (PGMs). However, few demonstrations exist where lifting is applied in conjunction…