Tagged articles

Audio-Visual

4 articles · Page 1 of 1
Machine Heart
Machine Heart
Jun 11, 2026 · Artificial Intelligence

Audio Reasoning for AGI: First Comprehensive Survey of Multimodal Large Models and Four Frontier Paths

This survey examines the emerging field of audio reasoning, distinguishing it from simple audio perception, and systematically classifies four major research directions—Audio-to-Text, Audio-to-Speech, Audio-Visual, and Agentic Audio—while highlighting challenges in data, evaluation, and real‑time multimodal integration.

AGIAudio ReasoningAudio-Visual
0 likes · 10 min read
Audio Reasoning for AGI: First Comprehensive Survey of Multimodal Large Models and Four Frontier Paths
Data Party THU
Data Party THU
Oct 9, 2025 · Artificial Intelligence

Can One Model Master All Audio‑Visual Tasks? Introducing Crab’s Unified Approach

This article presents Crab, a unified audio‑visual scene understanding model that leverages a novel display‑cooperation learning paradigm, introduces the AV‑UIE dataset with explicit reasoning steps, and demonstrates superior performance across temporal, spatial, pixel‑level, and spatio‑temporal tasks through extensive experiments and ablations.

Audio-VisualDatasetLarge Language Models
0 likes · 12 min read
Can One Model Master All Audio‑Visual Tasks? Introducing Crab’s Unified Approach
AI Frontier Lectures
AI Frontier Lectures
Jun 20, 2025 · Artificial Intelligence

Can One Model Master All Audio‑Visual Tasks? Introducing Crab’s Unified Approach

Researchers from RUC, Tsinghua, and Tencent present Crab, a unified audio‑visual scene understanding model that leverages explicit cooperation and a new AV‑UIE dataset with visible reasoning steps, achieving state‑of‑the‑art performance across temporal, spatial, pixel‑level, and spatio‑temporal tasks.

Audio-VisualLoRAScene Understanding
0 likes · 13 min read
Can One Model Master All Audio‑Visual Tasks? Introducing Crab’s Unified Approach
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Nov 11, 2022 · Artificial Intelligence

Media Experience Quality Assessment: Visual Perception and Objective Quality Metrics

Professor Zhai’s REDtech talk explained how the human visual system underlies full‑, reduced‑ and no‑reference media quality metrics, introduced a free‑energy‑based perception model and pseudo‑reference technique for accurate no‑reference UGC video assessment, and discussed audio‑visual integration, opinion‑score distributions, and EEG‑based perceptual loss challenges.

Audio-VisualUGCmedia quality assessment
0 likes · 15 min read
Media Experience Quality Assessment: Visual Perception and Objective Quality Metrics