AI & Machine Learning · Computer Science & AI
Computer Vision
The newest papers in Computer Vision that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
The newest 5,000 papers, from 29 September 2026 to 5 November 2026: 4,999 arXiv preprints and 1 OpenAlex record.
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Newest papers, page 178
Connected Self Forcing: Beyond Local Learning in Video Autoregression
To stream long videos while maintaining visual quality and temporal consistency, Self Forcing mitigates exposure bias through self-rollout training on self-generated histories with key-value (KV)…AI-Based On-Board Maritime Object Detection for Earth Observation Payload Data Reduction on Versal Embedded Hardware
Very-high-resolution Earth-observation satellites acquire more data than they can store and downlink, while in maritime surveillance the vessels cover a tiny fraction of each scene.Just Weather Scoring: Efficient End-to-end Nowcasting with Distributional Diffusion
Generative diffusion models are well-suited for probabilistic precipitation nowcasting, but existing approaches often rely on separately trained compression or deterministic forecasting components…Stride Independent Patching for Deep Learning
This paper presents semi-automatic stride-independent patching (SSP) as an alternative to automatic stride-dependent patching techniques.VibeEdit: Image Editing with Canvas Instructions
In text-guided image editing, describing the desired change is often straightforward, but identifying the intended object or region can be cumbersome, especially when several objects look alike.From Prompting to Composing: A Spatial Canvas Interface for Poster Generation
Text prompting is an indirect interface for poster generation, requiring users to encode inherently two-dimensional composition intent into a one-dimensional sequence of words.EgoVoice: Proactive Spoken Assistance from Egocentric Multimodal Streams
Wearable augmented reality (AR) assistants are moving toward continuous real-world interaction, where they perceive the user's activity through first-person video and audio and provide timely spoken…Syn-Omni: Structured Specialization and Progressive Collaboration for Omnimodal Embeddings
Omnimodal embeddings naturally involve both shared representations and modality-specific features across heterogeneous inputs.DVD: Dynamic Vector Decoding for Efficient MLLM-based Perception
Multimodal large language models have made remarkable progress in bridging vision and language, facilitating various perception tasks essential for human-machine interaction, robotics, and…Slot3R: Set-Associative Spatial Memory for Streaming 3D Reconstruction
Streaming 3D reconstruction must preserve evidence from each frame while processing an expanding scene online.Multi-Agent Egocentric World Model with Fine-Grained Embodied Interaction
Egocentric world models predict first-person observations conditioned on an agent's actions, but most focus on a single agent.From What to Which: Decoding Modifier Grounding in Frozen MLLMs
As Multimodal Large Language Models (MLLMs) can describe increasingly complex visual scenes, token-level grounding becomes crucial.BudgetPix: Compute-Adaptive Tokenization for Pixel-Space Image Diffusion
Most image generation models rely on uniform tokenization, allocating the exact same computational budget to equally-sized image patches.Is In-Domain Training Enough for Fine-Grained Industrial Anomaly Understanding?
A single multimodal large language model (MLLM) struggles to excel simultaneously at detection, localization, description, and reasoning in multimodal industrial anomaly understanding (MM-IAU).Controllable Exaggeration for Generative Motion Models via Training-Time Adaptation and Inference-Time Guidance
Recent motion generative models have demonstrated strong capabilities in synthesizing physically plausible character motion, but often overlook established animation principles used by professional…RiCo: Neural Simulation of Rigid-Body Interactions via Local Contact Reasoning
Accurate simulation of rigid-body interactions is essential for predictive physical world models.ContiLNN: Mitigating Slice Sampling Discontinuity with Liquid Neural Networks for Medical Image Restoration
Anatomical continuity provides complementary information for medical image restoration, but its use requires accounting for local anatomy and variations in slice sampling.Reasoning-Informed Visual Editing
Large Multi-modality Models (LMMs) have made significant progress in visual understanding and generation, but still face challenges in visual editing, particularly in following complex instructions…Distilling Routed 3D Privilege for Spatial Reasoning in Vision-Language Models
Spatial reasoning remains a persistent weakness of vision-language models (VLMs), because RGB inputs do not directly provide geometric evidence.HANS: A Handwritten Answer Sheet Dataset for Noisy Hybrid Document Parsing
Intelligent grading and automated scoring technologies constitute critical infrastructure for smart education.