◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Wenming Yang

84 papers hereh-index 304.4k citations177 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author45
  • last author30

Across the 77 of 84 papers where every author was matched, so the position is known.

fields
  • cs.CV60
  • eess.IV11
  • cs.AI4
  • cs.SD4
  • cs.RO2
  • cs.CL1
same name
  • Wenming Yang — 2 papers, h 3
  • Wenming Yang — 1 paper, h 1
  • Wenming Yang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedDeep Learning for Single Image Super-Resolution: A Brief Review

1.2k citations · 1.5k across the 81 of their papers we have counts for

collaborators
Showing cs.SDShow all

4 papers · 1 filter

cs.SD2026

VividVoice: A Unified Framework for Scene-Aware Visually-Driven Speech Synthesis

Chengyuan Ma, Jiawei Jin, Ruijie Xiong +3

We introduce and define a novel task-Scene-Aware Visually-Driven Speech Synthesis, aimed at addressing the limitations of existing speech generation models in creating immersive au…

cs.SD2026

TLDiffGAN: A Latent Diffusion-GAN Framework with Temporal Information Fusion for Anomalous Sound Detection

Chengyuan Ma, Peng Jia, Hongyue Guo +1

Existing generative models for unsupervised anomalous sound detection are limited by their inability to fully capture the complex feature distribution of normal sounds, while the p…

cs.SD2025

ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection

Chengyuan Ma, Peng Jia, Hongyue Guo +1

The core challenge in industrial equipment anoma lous sound detection (ASD) lies in modeling the time-frequency coupling characteristics of acoustic features. Existing modeling met…

cs.SD2023

LAVSS: Location-Guided Audio-Visual Spatial Audio Separation

Yuxin Ye, Wenming Yang, Yapeng Tian

Existing machine learning research has achieved promising results in monaural audio-visual separation (MAVS). However, most MAVS methods purely consider what the sound source is, n…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.