7 citations · 14 across the 33 of their papers we have counts for
16 papers · 1 filter
Audio-Guided Visual Perception for Audio-Visual Navigation
Yi Wang, Yinfeng Yu, Fuchun Sun +2
Audio-Visual Embodied Navigation aims to enable agents to autonomously navigate to sound sources in unknown 3D environments using auditory cues. While current AVN methods excel on…
ECTSpeech: Enhancing Efficient Speech Synthesis via Easy Consistency Tuning
Tao Zhu, Yinfeng Yu, Liejun Wang +2
Diffusion models have demonstrated remarkable performance in speech synthesis, but typically require multi-step sampling, resulting in low inference efficiency. Recent studies addr…
EGSTalker: Real-Time Audio-Driven Talking Head Generation with Efficient Gaussian Deformation
Tianheng Zhu, Yinfeng Yu, Liejun Wang +2
This paper presents EGSTalker, a real-time audio-driven talking head generation framework based on 3D Gaussian Splatting (3DGS). Designed to enhance both speed and visual fidelity,…
Landmark-Guided Knowledge for Vision-and-Language Navigation
Dongsheng Yang, Meiling Zhu, Yinfeng Yu
Vision-and-language navigation is one of the core tasks in embodied intelligence, requiring an agent to autonomously navigate in an unfamiliar environment based on natural language…
Iterative Residual Cross-Attention Mechanism: An Integrated Approach for Audio-Visual Navigation Tasks
Hailong Zhang, Yinfeng Yu, Liejun Wang +2
Audio-visual navigation represents a significant area of research in which intelligent agents utilize egocentric visual and auditory perceptions to identify audio targets. Conventi…
FSDENet: A Frequency and Spatial Domains based Detail Enhancement Network for Remote Sensing Semantic Segmentation
Jiahao Fu, Yinfeng Yu, Liejun Wang
To fully leverage spatial information for remote sensing image segmentation and address semantic edge ambiguities caused by grayscale variations (e.g., shadows and low-contrast reg…
Dynamic Multi-Target Fusion for Efficient Audio-Visual Navigation
Yinfeng Yu, Hailong Zhang, Meiling Zhu
Audiovisual embodied navigation enables robots to locate audio sources by dynamically integrating visual observations from onboard sensors with the auditory signals emitted by the…
Advancing Audio-Visual Navigation Through Multi-Agent Collaboration in 3D Environments
Hailong Zhang, Yinfeng Yu, Liejun Wang +2
Intelligent agents often require collaborative strategies to achieve complex tasks beyond individual capabilities in real-world scenarios. While existing audio-visual navigation (A…
Audio-Guided Dynamic Modality Fusion with Stereo-Aware Attention for Audio-Visual Navigation
Jia Li, Yinfeng Yu, Liejun Wang +2
In audio-visual navigation (AVN) tasks, an embodied agent must autonomously localize a sound source in unknown and complex 3D environments based on audio-visual signals. Existing m…
PGSTalker: Real-Time Audio-Driven Talking Head Generation via 3D Gaussian Splatting with Pixel-Aware Density Control
Tianheng Zhu, Yinfeng Yu, Liejun Wang +2
Audio-driven talking head generation is crucial for applications in virtual reality, digital avatars, and film production. While NeRF-based methods enable high-fidelity reconstruct…
DOPE: Dual Object Perception-Enhancement Network for Vision-and-Language Navigation
Yinfeng Yu, Dongsheng Yang
Vision-and-Language Navigation (VLN) is a challenging task where an agent must understand language instructions and navigate unfamiliar environments using visual cues. The agent mu…
DGFNet: End-to-End Audio-Visual Source Separation Based on Dynamic Gating Fusion
Yinfeng Yu, Shiyu Sun
Current Audio-Visual Source Separation methods primarily adopt two design strategies. The first strategy involves fusing audio and visual features at the bottleneck layer of the en…
AMNet: An Acoustic Model Network for Enhanced Mandarin Speech Synthesis
Yubing Cao, Yinfeng Yu, Yongming Li +1
This paper presents AMNet, an Acoustic Model Network designed to improve the performance of Mandarin speech synthesis by incorporating phrase structure annotation and local convolu…
Leveraging Label Potential for Enhanced Multimodal Emotion Recognition
Xuechun Shao, Yinfeng Yu, Liejun Wang
Multimodal emotion recognition (MER) seeks to integrate various modalities to predict emotional states accurately. However, most current research focuses solely on the fusion of au…
Magnitude-Phase Dual-Path Speech Enhancement Network based on Self-Supervised Embedding and Perceptual Contrast Stretch Boosting
Alimjan Mattursun, Liejun Wang, Yinfeng Yu +1
Speech self-supervised learning (SSL) has made great progress in various speech processing tasks, but there is still room for improvement in speech enhancement (SE). This paper pre…
Modality-Invariant Bidirectional Temporal Representation Distillation Network for Missing Multimodal Sentiment Analysis
Xincheng Wang, Liejun Wang, Yinfeng Yu +1
Multimodal Sentiment Analysis (MSA) integrates diverse modalities(text, audio, and video) to comprehensively analyze and understand individuals' emotional states. However, the real…