5 citations · 8 across the 12 of their papers we have counts for
5 papers · 1 filter
MIRA: Real-Time Full-Duplex Human-Robot Interaction for Embodied Companions
Lijian Lin, Ye Zhu, Fan Zhang +5
% !TEX root = ../main.tex Real-time embodied companion interaction requires a robot to infer user intent from streaming speech, generate timely responses, and execute expressive, i…
GRAPE: Graduated Routing for Articulated Portrait mesh Estimation
Yunfei Liu, Lijian Lin, Ye Zhu +1
Articulated portrait mesh estimation is fundamental to 3D understanding, avatar generation, and immersive interaction. Existing approaches primarily rely on 3D Morphable Models (3D…
PEAR: Pixel-aligned Expressive humAn mesh Recovery
Jiahao Wu, Yunfei Liu, Lijian Lin +4
Reconstructing detailed 3D human meshes from a single in-the-wild image remains a fundamental challenge in computer vision. Existing SMPLX-based methods often suffer from slow infe…
MANGO:Natural Multi-speaker 3D Talking Head Generation via 2D-Lifted Enhancement
Lei Zhu, Lijian Lin, Ye Zhu +5
Current audio-driven 3D head generation methods mainly focus on single-speaker scenarios, lacking natural, bidirectional listen-and-speak interaction. Achieving seamless conversati…
LEMAS: Large A 150K-Hour Large-scale Extensible Multilingual Audio Suite with Generative Speech Models
Zhiyuan Zhao, Lijian Lin, Ye Zhu +3
We present the LEMAS-Dataset, which, to our knowledge, is currently the largest open-source multilingual speech corpus with word-level timestamps. Covering over 150,000 hours acros…