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 9
TTM-Bench: A Framework for Text-to-Music System Performance Benchmarking
Text-to-music (TTM) systems are increasingly used to generate musical audio from natural-language descriptions.GenStream: Semantic Streaming Framework for Generative Reconstruction of Human-centric Media
Video streaming dominates global internet traffic, yet conventional pipelines remain inefficient for structured, human-centric content such as sports, performance, or interactive media.Perceptual Refinement of an End-to-End Video Streaming Pipeline via Generative AI Layers
Traditional codecs treat every region of a frame alike; a generative layer can instead degrade the regions a viewer attends to least and reconstruct them at the client.Riemannian--Lorentz Fusion of Vision Transformers and State-Space Models
Scaling deep learning faces critical bottlenecks: data exhaustion, exponential training costs, and resource concentration.From Models to Systems: A Comprehensive Survey of Efficient Multimodal Learning
The rapid expansion of multimodal models has surfaced formidable bottlenecks in computation, memory, and deployment, catalyzing the rise of Efficient Multimodal Learning (EML) as a pivotal research…Visual Graph Reasoning via Knowledge Compilation
Visual graph reasoning requires answering graph-theoretic questions directly from graph images, where graph topology and state are conveyed visually rather than given in symbolic form.What Do Hallucinations Reveal About Multimodal Reasoning? Diagnosing Visual Grounding Failures via Contrastive Decoding Probes
When strong multimodal models are widely available, progress requires new scientific methodologies beyond benchmark scores---using models as instruments for understanding behavior.ViD: Vision-Dominant Gender Bias Mitigation for Large Vision-Language Models
Gender bias in large vision-language models (LVLMs) undermines their fairness and reliability, compromising output trustworthiness.VideoMM: Adaptive Macro-Micro Inference for Efficient Video MLLMs
Scaling Multimodal Large Language Models (MLLMs) to long-form video understanding is bottlenecked by the explosion of visual tokens, which saturates context windows and incurs prohibitive costs.TTTIR: Unlocking Instance-Specific State Evolution via Test-Time Training for Image Restoration
Image restoration is inherently challenging due to the diverse and highly input-dependent nature of real-world degradations.PIVOT: Physics-Grounded Verification for AI-Generated Audio-Video Detection
As generative models continue to advance, AI-generated content (AIGC) is becoming increasingly realistic, weakening the artifact cues commonly exploited by existing detectors.Semantic-Aware Neural Video Codec for Error-Resilient Low-Latency Transmission
Emerging physical AI systems require low-latency, task-oriented video communication over unreliable channels.Speak to the City: Multimodal Resolution for Outside-the-Vehicle References
As autonomous vehicles and Extended Reality (XR) headsets enable novel in-car interactions, seamlessly querying physical landmarks, known as Outside-the-Vehicle Referencing (OVR), remains…A Low-Latency Interactive System for Real-Time Video Understanding Based on VLMs
Vision-language models are extending video understanding from offline clip analysis to continuous interactive streaming, but most research still emphasizes model capability rather than deployable…Conditional Quantum Flow Matching for Data-Scarce Physiological Signal Augmentation
Generative augmentation is a standard remedy for label scarcity in physiological signal classification, but existing quantum generative models start from uninformative noise, ignoring class…Detecting and Explaining Fake News Short Videos with Multimodal Content and Real-World Evidence
Short-video platforms have become a primary news source for the public, which has also enabled the widespread dissemination of fake news videos.Unified Agentic Video Editing Across Levels of Complexity and Creativity
Editing is a core component of video production, requiring creative planning and decisions under multiple constraints.MultiHuSE: A Multimodal Dataset for Humour Styles and Emotions
Computational recognition of verbal humour remains a challenging task, requiring an understanding of language, delivery style, emotions, and cultural context.EEGBind: Detecting Source-Level Interictal Epileptiform Discharges via EEG-Centric Multimodal Binding
Source-level analysis of interictal epileptiform discharges (IEDs) is relevant to presurgical evaluation and treatment planning because it helps characterize where epileptiform activity is likely to…IAE-VTG: Interaction-Aligned Action-Entity Video Temporal Grounding
Video Temporal Grounding (VTG) localizes the video segment that matches a natural-language query.