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Fei Richard Yu

6 accepted papers

2025

Bi-directional Cable-driven Ankle Exoskeleton Coupled with Series Elastic Actuator for Compliant Gait Assisting*

IROS 2025

This paper presents a lightweight bidirectional cable-driven ankle exoskeleton system (total mass: 2.6 kg) based on a series elastic actuation architecture (actuator module mass: 1.05 kg). The system utilizes a waist-mounted drive unit and Bowden cables to deliver bidirectional assistance to the ank

Cited by 0SourceScholar
2025

EventGPT: Event Stream Understanding with Multimodal Large Language Models

CVPR 2025poster

Event cameras capture visual information as asynchronous pixel change streams, excelling in challenging lighting and high-dynamic scenarios. Existing multimodal large language models (MLLMs) concentrate on natural RGB images, failing in scenarios where event data fits better. In this paper, we intro…

Cited by 3SourcePDFScholar
2025

PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis

AAAI 2025technical

Talking head synthesis with arbitrary speech audio is a crucial challenge in the field of digital humans. Recently, methods based on radiance fields have received increasing attention due to their ability to synthesize high-fidelity and identity-consistent talking heads from just a few minutes of tr…

Cited by 4SourcePDFScholar
2025

ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters

AAAI 2025technical

Pose-controlled human video generation is of significant interest and finds extensive applications in areas such as automated advertising and content creation on social media platforms. While existing methods employing pose sequences and reference images for human image animation have exhibited nota…

Cited by 0SourcePDFScholar
2025

Subgraph Invariant Learning Towards Large-Scale Graph Node Classification

AAAI 2025technical

Graph Neural Networks (GNNs) have shown efficacy in graph node classification, but face computational challenges on large-scale graphs. Although existing graph reduction methods address these issues, they still require high computational resources and fail to prioritize robust performance on out-of-…

2025

VisualRWKV: Exploring Recurrent Neural Networks for Visual Language Models

COLING 2025main

Visual Language Models (VLMs) have rapidly progressed with the recent success of large language models. However, there have been few attempts to incorporate efficient linear Recurrent Neural Networks (RNNs) architectures into VLMs. In this study, we introduce VisualRWKV, the first application of a l…