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 7
SignFLIP: A Unified Model for Sign Language Translation and Generation via Stage-wise Alignment at Scale
Sign language translation and generation share the goal of bidirectional alignment between text and sign representations.Structured Interaction, Visual Localization, and Robust Execution for Complex Web Tasks: A Technical Report on the WebRetriever Challenge
This report presents the web agent system developed for the WebRetriever Challenge.AerialDojo-200K: A Large-Scale Benchmark Suite for Open-World Aerial Object-Goal Search
Open-world aerial object-goal search is a foundational yet challenging task, requiring aerial agents to autonomously explore large-scale, unstructured three-dimensional environments and reach target…Overview and Analysis of the RecSys Challenge 2026: Conversational Music Recommendation
The RecSys Challenge 2026 studies conversational music recommendation as a joint item recommendation and response generation problem: given a multi-turn dialogue, systems must retrieve relevant…Re:Cognize -- Open-Set Comic Character Re-Identification
A manga reader meets a character on one page and knows them on sight a hundred pages later, without ever being handed a cast list.Learning Through Game: Skewed Transfer of Tabular Knowledge to Strengthen Image Model
Multimodal tabular-image learning is gaining growing attention, yet it faces challenges due to tabular data unavailable at test time.Do Audio LLMs Listen Before They Act? Diagnosing Acoustic-Context Gating in Voice Agents
Audio language models can recognize spoken commands and invoke tools, but an agent must first decide whether the acoustic and conversational context warrants action.In-Flight KV Cache with Clean Anchors for Faster Autoregressive Video Diffusion
Few-step autoregressive video diffusion generates a long video by splitting the video into temporal chunks and generating chunk-by-chunk, each through a short sequence of denoising stages.Getting Motif-ated: Controllable AI Compositions from Injected Motif Prompts
Deep learning has transformed symbolic music generation by borrowing the training paradigms of large language models, with systems such as NotaGen now producing complete, stylistically convincing…TempQ-Jail: Query-Constrained Candidate Ranking for Text-to-Video Jailbreak Attacks
Existing text-to-video (T2V) jailbreak methods mainly seek more effective or stealthier attack candidates.Pocket-STVG: lightweight architecture for Spatio-Temporal Video Grounding
Spatio-Temporal Video Grounding (STVG) aims to localize the spatio-temporal tube in a video corresponding to a natural language query.Geometric Inconsistency Localization in Multi-View Image Sets
Novel view synthesis (NVS) models can produce realistic new views of the same scene from different viewpoints.TemplateCraft: Agentic Visual Template Generation
The growing popularity of short videos has driven demand for one-click content creation.Video-to-Music Generation for Gameplay Videos
Video-to-music models have advanced considerably in the last few years, particularly in film and music video applications.SALI: Shot-Aware Late Interaction for Cross-Shot Relation Matching in Text-to-Video Retrieval using Film-Grammar Knowledge
Text-to-video retrieval usually represents a video clip by a single embedding.WeatherDiagFlow: Evidence-Grounded Radar Nowcasting with Diagnostic Flow Refinement
Radar nowcasting is essential for short-term warning and emergency response, yet conventional systems mainly return future radar fields and provide limited support for operational communication and…GHOST-Q: Towards Studying Grounding Hallucinations Overlooked Under Same-score TradeOffs in Quantized VLMS
Post-training quantization of vision--language models (VLMs) is typically assessed through aggregate task accuracy and memory savings, but preserving a headline score does not guarantee preservation…SemMSA: Latent Semantic-Aided Robust Multimodal Sentiment Analysis with Incomplete Data
Recent research on Multimodal Sentiment Analysis (MSA) has focused on learning from language, visual, and acoustic modalities with incomplete data to infer human sentiment.What Improves Multimodal Misinformation Detection? Answers from a Large-Scale Empirical Study
Multimodal misinformation is increasingly crafted to look convincing by pairing a textual claim with an image that appears to "prove" it.Self-Evolving Multimedia Verification through Memory Consolidation of Contestation Experiences
Multimedia verification requires not only accurate decisions but also traceable evidence, reliable human correction, and safe reuse of prior experience.