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Shan He

8 accepted papers

2026

READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation

AAAI 2026technical

The introduction of diffusion models has brought significant advances to the field of audio-driven talking head generation. However, the extremely slow inference speed severely limits the practical implementation of diffusion-based talking head generation models. In this study, we propose READ, a re

Cited by 0SourcePDFScholar
2026

REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming Distillation

ICML 2026poster

Diffusion models have significantly advanced the field of talking head generation (THG). However, slow inference speeds and prevalent non-autoregressive paradigms severely constrain the application of diffusion-based THG models. In this study, we propose REST, a pioneering diffusion-based, real-time…

Cited by 0SourceScholar
2025

A Real-Time Spatio-Temporal Trajectory Planner for Autonomous Vehicles With Semantic Graph Optimization

RA-L 2025

Planning a safe and feasible trajectory for autonomous vehicles in real-time by fully utilizing perceptual information in complex urban environments is challenging. In this letter, we propose a spatio-temporal trajectory planning method based on graph optimization. It efficiently extracts the multi-

Cited by 3SourceScholar
2025

EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion

CVPR 2025poster

Diffusion models have revolutionized the field of talking head generation, yet still face challenges in expressiveness, controllability, and stability in long-time generation. In this research, we propose an EmotiveTalk framework to address these issues. Firstly, to realize better control over the g…

2025

Lexical Diversity-aware Relevance Assessment for Retrieval-Augmented Generation

ACL 2025long

Retrieval-Augmented Generation (RAG) has proven effective in enhancing the factuality of LLMs’ generation, making them a focal point of research. However, previous RAG approaches overlook the lexical diversity of queries, hindering their ability to achieve a granular relevance assessment between que…

2023

Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation

ICCV 2023poster

Recent audio2mesh-based methods have shown promising prospects for speech-driven 3D facial animation tasks. However, some intractable challenges are urgent to be settled. For example, the data-scarcity problem is intrinsically inevitable due to the difficulty of 4D data collection. Besides, current…

Cited by 10PDFScholar
2021

Design of a deployable underwater robot for the recovery of autonomous underwater vehicles based on origami technique

ICRA 2021poster

The recovery of autonomous underwater vehicles (AUVs) has been a challenging mission due to the limited localization accuracy and movement capability of the AUVs. To overcome these limitations, we propose a novel design of a deployable underwater robot (DUR) for the recovery mission. Utilizing the o…

Cited by 0SourceScholar
2016

Design optimisation and performance evaluation of a toroidal magnetorheological hydraulic piston head

IROS 2016poster

The advantages of mechanical compliance have driven the development of devices using new smart materials. A new kind of magnetorheological piston based on a toroidal array of magnetorheological valves, has been previously tested to prove its feasibility. However, being an initial prototype its poten…

Cited by 5SourceScholar