Applied & Human-Centered · Computer Science & AI
Multimedia
The newest papers in Multimedia that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
192 papers, from 6 September 2026 to 5 November 2026: 192 arXiv preprints.
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Newest papers, page 8
When Visual Quality Misleads: Intent Recognition under Rendered Avatar Distortions
Avatar-streaming systems are commonly evaluated with image and video quality assessment (IQA/VQA) metrics, implicitly treating visual fidelity as a proxy for communicative success.Qwen3.8-Omni: Towards Native Omni-Modal Agents
We introduce Qwen3.8-Omni-Flash, a natively multimodal agentic model for real-world multimodal productivity.CogenPVG: Cognitive-Enhanced Reflective Multi-Agent Framework for Persuasive Video Generation
Persuasive video generation (PVG) is a valuable yet under-explored research topic.Metric-Bench: Exploring In-context Spatial Metric Reasoning in VLMs for Indoor Scenes
Metric reasoning is a critical and challenging task for Vision Language Models (VLMs), playing a pivotal role in embodied AI tasks such as robotic manipulation and autonomous navigation.TV-AudioRemover: Joint Text-Visual Guided Sound Removal with Multi-Task Hard-Mixture Curriculum
Visual object removal can eliminate a target from video frames, yet its acoustic trace persists in the soundtrack, causing obvious audio-visual inconsistency.NAWE: Digital Watermarking with Neural-Assisted Watermark Extraction
NAWE (Neural-Assisted Watermark Extraction) combines an explicit signal-processing watermarking construction with a pretrained neural host predictor.ROAM-ASD: Robust Open-World Active Speaker Detection with Flexible Multimodal Fusion
Active speaker detection (ASD) requires reliable association between visible faces and acoustic speech, yet existing systems often degrade under challenging domains or incomplete observations.Small Cues, Big Consequences: Learning Pivotal Cues for Multimodal Meme Classification
Memes often derive their harmful, hateful, or sarcastic meaning from small but decisive visual, textual, or cross-modal cues.TAC-Time: Texts as Channels For Multimodal Time Series Forecasting
Most existing time series forecasting methods rely solely on numerical observations, overlooking rich contextual information from auxiliary texts.If You Hear It, Help Find It: Orthogonal Knowledge Distillation for Open-Vocabulary Audio-Visual Event Localization
Open-vocabulary audio-visual event localization (OV-AVEL) grounds a text-queried event in time from video, audio, and language.GeoBalance: Geometry-Aware Monitoring and Reconstruction with Asymmetric Optimization for Balanced Multimodal Learning
Multimodal classifiers can converge to modality-dominant solutions in which one modality dominates the joint prediction, suppressing the learning of others.MixiMotion: One-Step Text-to-Motion Generation via Asymmetric Set Distillation
Iterative text-to-motion generation delivers high-quality and semantically aligned motions but requires multiple network evaluations, resulting in substantial inference latency.MM-ContextFold: Context Folding for Multimodal Agentic Retrieval
Multimodal Agentic Retrieval (MAR) requires agents to solve complex information-seeking tasks by iteratively invoking external tools.Omni Demand Understanding: A Benchmark for Contextual User-Intent Inference in Multimodal Interaction
Natural audio-visual interaction is emerging as an important interface for AI assistants, allowing users to communicate through speech and vision rather than carefully composed text prompts.The Spoken Wikipedia Presentation Corpus
We present the Spoken Wikipedia Presentation Corpus, an extension of the Spoken Wikipedia Corpora featuring LLM-generated slide decks for multimodal ASR.Style as Cover: Deep Image Steganography via Stylized Transmission
Image steganography hides secret message within normal images, with most existing works relying on cover-preserving transmission.BinoGen: Scaling egocentric binocular data for embodied visual perception and learning
Embodied visual perception relies on temporally coherent visual experience accumulated through continuous engagement with the environment.MemeTAG: Keyword-Driven Meme Classification through Tag Embedding Reconstruction
The proliferation of harmful internet memes poses a significant societal threat, yet their automated classification remains a formidable algorithmic challenge due to the nuanced, multimodal nature…Visual Autoregressive Priors for RAW-to-sRGB Image Signal Processing
RAW-to-sRGB image signal processing (ISP) must recover perceptually faithful colors and fine details from sensor measurements, often under imperfect spatial alignment and missing camera metadata.Divide and Conquer: Mixture-of-Bottleneck Experts in Informative Ordinal Space for Video-based Multimodal Sentiment Analysis
Video-based Multimodal sentiment analysis (MSA) must handle information from text, audio, and image sequence in human speaking videos, yet current methods often fail to integrate modalities with…