Every paper checked — nothing hidden

All papers

Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.

All17,313 In brief24 More (on-topic)3,333 Not relevant13,754 Not assessed87 Older352 Could not confirm93 Blogs with no paper266 All blogs284

Paper	Topic	Relevance
Texture Interpolation as Texton Matching This paper studies texture interpolation using appearance-aware texton matching instead of standard positional coordinate blending. Preprint	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Focuses on image texture synthesis, not LLM evaluation.
Texture Interpolation as Texton Matching This paper studies texture interpolation using appearance-aware texton matching instead of standard positional coordinate blending. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Studies theoretical texture interpolation, not industrial defect detection.
Texture Interpolation as Texton Matching This paper studies texture interpolation using appearance-aware texton matching instead of standard positional coordinate blending. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Investigates feature matching for textures, not model efficiency.
PlanPath: Exploration-Guided Orchestration for Patient-Level Pathology Reasoning The paper proposes an agent framework that plans multi-slide exploration and visual tool use for patient-level pathology visual question answering. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on medical histopathology, not manufacturing or industrial inspection.
Perception Beyond the Visible: Incompleteness-Aware Scene Understanding for Robot Autonomy This research statement outlines a conceptual framework and future directions for robot scene understanding under incomplete sensory and environmental data. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on general robot autonomy and navigation, not industrial inspection.
RSIgen: Reciprocal Self-Improvement for Agentic Visual Generation The paper introduces a reciprocal self-improvement framework to balance agent understanding and image generation roles within multimodal models. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on generative multimodal models, not industrial manufacturing inspection.
Orientation Estimation of Cryo-EM Images for Molecules with Arbitrary Symmetry by Semidefinite Programming This paper applies semidefinite programming relaxation to estimate orientations of symmetric molecular structures from cryo-electron microscopy images. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on mathematical optimization for cryo-EM, not multimodal integration.
Orientation Estimation of Cryo-EM Images for Molecules with Arbitrary Symmetry by Semidefinite Programming This paper applies semidefinite programming relaxation to estimate orientations of symmetric molecular structures from cryo-electron microscopy images. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Addresses molecular structure cryo-EM estimation, not industrial inspection.
CryoTracer: A Synthetic-to-Real System for Filament Instance Tracing in Cryo-EM The paper introduces a synthetic-to-real deep learning framework for directly tracing filament instances in cryo-electron microscopy images. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on microscopy image instance tracing, not multimodal models.
CryoTracer: A Synthetic-to-Real System for Filament Instance Tracing in Cryo-EM The paper introduces a synthetic-to-real deep learning framework for directly tracing filament instances in cryo-electron microscopy images. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on biological cryo-electron microscopy, not industrial manufacturing.
AIRRI: Towards a Human-Readable, Machine-Resistant Reading Interface This paper presents an interface framework applying visual transformations and adversarial attacks to create assignment text resistant to machine extraction. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Studies visual perturbation attacks, not model compression or efficiency.
AIRRI: Towards a Human-Readable, Machine-Resistant Reading Interface This paper presents an interface framework applying visual transformations and adversarial attacks to create assignment text resistant to machine extraction. Preprint	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Evaluates OCR degradation, not general LLM benchmarking methods.
AIRRI: Towards a Human-Readable, Machine-Resistant Reading Interface This paper presents an interface framework applying visual transformations and adversarial attacks to create assignment text resistant to machine extraction. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on educational assignment text defense, not industrial inspection.
AIRRI: Towards a Human-Readable, Machine-Resistant Reading Interface This paper presents an interface framework applying visual transformations and adversarial attacks to create assignment text resistant to machine extraction. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on adversarial text images, not multimodal model architectures.
Segment Where You Look: Attention as the Interface Between Language Models and Segmenters The paper uses attention maps from vision-language models to directly guide pixel decoders for referring image segmentation. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on referring expression segmentation, not industrial defect detection.
Concealed Handgun Detection using WiFi Signals This paper introduces a dataset and deep learning model to detect concealed handguns using WiFi channel state information. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on security threat detection, not industrial quality inspection.
Concealed Handgun Detection using WiFi Signals This paper introduces a dataset and deep learning model to detect concealed handguns using WiFi channel state information. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on RF WiFi signals for sensing, not multimodal language models.
Context-aware Bayesian Fusion for Multimodal Object Detection The paper proposes a context-aware Bayesian late fusion method to dynamically adjust object detector outputs for autonomous driving in adverse conditions. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on sensor fusion (camera and lidar), not multimodal language models.
Context-aware Bayesian Fusion for Multimodal Object Detection The paper proposes a context-aware Bayesian late fusion method to dynamically adjust object detector outputs for autonomous driving in adverse conditions. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on autonomous driving perception, which is explicitly excluded from industrial vision.
LayerCanvas: Infographic Generation in AI Learning Assistants via Hybrid Layer-Set Diffusion This paper presents a hybrid layer-set diffusion framework for generating editable and visually rich educational infographics. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on graphic design infographics, not industrial manufacturing inspection.
MIST: Multi-Scale Spatial Context for Gene Expression Prediction from Histology This paper proposes a multi-context spatial transformer architecture to improve gene expression prediction from standard histology tissue images. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on histology vision transformers, not multimodal language reasoning models.
MIST: Multi-Scale Spatial Context for Gene Expression Prediction from Histology This paper proposes a multi-context spatial transformer architecture to improve gene expression prediction from standard histology tissue images. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on histology gene expression prediction, not manufacturing defect inspection.
The Federated Tumor Segmentation and Classification (FeTS++) Challenge The paper presents the design and dataset for an international challenge benchmarking federated learning methods for tumor segmentation and classification. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on medical brain tumor MRI analysis, not industrial manufacturing.
The Federated Tumor Segmentation and Classification (FeTS++) Challenge The paper presents the design and dataset for an international challenge benchmarking federated learning methods for tumor segmentation and classification. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on federated medical imaging, not multimodal text-image foundation models.
GAD: Geometry Attention Distillation for Consistent Video Generation This paper introduces an attention distillation method that transfers geometric correspondences from a frozen model to improve consistency in video generation. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on video diffusion geometry distillation, not multimodal language understanding.
GAD: Geometry Attention Distillation for Consistent Video Generation This paper introduces an attention distillation method that transfers geometric correspondences from a frozen model to improve consistency in video generation. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on video generation consistency, not industrial visual quality inspection.
Trust Before Autonomy: Rethinking Agentic Remote Sensing for Crisis Response The paper analyzes agentic remote sensing benchmarks and argues that autonomous decision-making should require demonstrated reliability and calibrated uncertainty. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on remote sensing agent reliability rather than multimodal model architectures.
Trust Before Autonomy: Rethinking Agentic Remote Sensing for Crisis Response The paper analyzes agentic remote sensing benchmarks and argues that autonomous decision-making should require demonstrated reliability and calibrated uncertainty. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on satellite Earth observation, which is excluded from industrial vision.
Registration is a Representation Problem: Solving Whole-Body PET/CT Registration This paper presents an anatomical representation approach driving iterative solvers for longitudinal whole-body PET and CT image registration. Preprint	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Addresses medical image registration, not LLM evaluation or benchmarks.
Registration is a Representation Problem: Solving Whole-Body PET/CT Registration This paper presents an anatomical representation approach driving iterative solvers for longitudinal whole-body PET and CT image registration. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Deals with 3D medical registration algorithms, not small model distillation.
Registration is a Representation Problem: Solving Whole-Body PET/CT Registration This paper presents an anatomical representation approach driving iterative solvers for longitudinal whole-body PET and CT image registration. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on medical PET/CT registration, not industrial manufacturing inspection.
Registration is a Representation Problem: Solving Whole-Body PET/CT Registration This paper presents an anatomical representation approach driving iterative solvers for longitudinal whole-body PET and CT image registration. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:18	Not relevant Addresses medical image alignment algorithms, not AI safety or jailbreak prevention.
Registration is a Representation Problem: Solving Whole-Body PET/CT Registration This paper presents an anatomical representation approach driving iterative solvers for longitudinal whole-body PET and CT image registration. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on 3D medical volume alignment, not multimodal language modeling.
DuplexBridge: Coordinating Understanding and Generation for Unified Image Editing This paper proposes an image editing framework that coordinates prompt understanding and image generation within a single unified model. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on generative image editing, not industrial manufacturing defect detection.
WorldOracle: Benchmarking Action-Conditioned World Models against Real-World Executions This paper presents a benchmark evaluating action-conditioned world models against paired real-world executions and physical task outcomes. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Benchmarks action-conditioned video world models for robotics, not multimodal language models.
WorldOracle: Benchmarking Action-Conditioned World Models against Real-World Executions This paper presents a benchmark evaluating action-conditioned world models against paired real-world executions and physical task outcomes. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robotics manipulation world models, not industrial visual quality control.
Game2Real-Bench: Do Toy Games Reveal and Transfer to Real-World Visual Reasoning? This paper introduces a benchmark to analyze whether visual reasoning skills evaluated in toy games transfer to real-world tasks. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Evaluates visual reasoning across games, not industrial defect detection.
Plan-Bench: Can Existing VLMs Go Well Beyond Perception to Reason and Plan in Embodied Worlds? This paper introduces a benchmark evaluating high-level reasoning and multi-step planning in vision-language models for embodied tasks. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on embodied AI planning benchmarks, not industrial manufacturing inspection.
Scaling Online Optimal Transport Minibatches for Flow Matching This paper develops an online entropic optimal transport approximation to scale minibatch coupling for stable flow matching. Preprint	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Focuses on generative flow optimization, not LLM evaluation benchmarks.
Scaling Online Optimal Transport Minibatches for Flow Matching This paper develops an online entropic optimal transport approximation to scale minibatch coupling for stable flow matching. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Focuses on flow matching sampling variance, not model compression or serving.
Scaling Online Optimal Transport Minibatches for Flow Matching This paper develops an online entropic optimal transport approximation to scale minibatch coupling for stable flow matching. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on generative flow matching theory, not industrial visual inspection.
Scaling Online Optimal Transport Minibatches for Flow Matching This paper develops an online entropic optimal transport approximation to scale minibatch coupling for stable flow matching. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:18	Not relevant Deals with optimal transport training stability, not deployment safety or guardrails.
Scaling Online Optimal Transport Minibatches for Flow Matching This paper develops an online entropic optimal transport approximation to scale minibatch coupling for stable flow matching. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Theoretical generative modeling paper with no multimodal language reasoning focus.
RepProbe: Can Video Language Models Count Repeated Actions? A Diagnostic Benchmark This paper introduces a benchmark to diagnose the ability of video language models to count repeated action cycles. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on video action counting benchmarks, not industrial visual inspection.
WorldRecon: Generative Multi-View Mesh Reconstruction for Large-Scale 3D World This paper proposes a generative framework to reconstruct complete, large-scale 3D scene meshes from unposed multi-view RGB images. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses purely on 3D geometric mesh reconstruction, not multimodal text-image reasoning.
WorldRecon: Generative Multi-View Mesh Reconstruction for Large-Scale 3D World This paper proposes a generative framework to reconstruct complete, large-scale 3D scene meshes from unposed multi-view RGB images. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on 3D scene reconstruction from photos, not industrial manufacturing.
PixelMoE: Scaling Pixel-Space Diffusion with LLM-Style Mixture-of-Experts This paper applies mixture-of-experts architectures to scale capacity in pixel-space diffusion models without needing learned tokenizers. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Studies pixel-space image generation with MoE, not multimodal reasoning models.
PixelMoE: Scaling Pixel-Space Diffusion with LLM-Style Mixture-of-Experts This paper applies mixture-of-experts architectures to scale capacity in pixel-space diffusion models without needing learned tokenizers. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on image generation diffusion architectures, not industrial defect inspection.
Visual Tokens on Demand: Visual Budgeting for Scalable and Efficient Multi-Image Reasoning in Multimodal LLMs The paper discusses visual budgeting strategies to manage token redundancy for scalable multi-image reasoning in multimodal language models. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on multi-image reasoning efficiency, not industrial quality control.
PLAYGROUND: Progressive Layout Generation with Render-Grounded Planning This paper proposes a progressive layout generation framework that dynamically adapts graphic design compositions to the rendered canvas. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on graphic design layout, not manufacturing defect detection.
Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion This paper proposes a dimensionless prior to complete dense mesh motion from sparse observations across different geometry families. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Deals with geometric motion priors, not LLM compression or inference.
Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion This paper proposes a dimensionless prior to complete dense mesh motion from sparse observations across different geometry families. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on 3D mesh motion completion, not manufacturing or inspection.
Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion This paper proposes a dimensionless prior to complete dense mesh motion from sparse observations across different geometry families. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Concerns 3D meshes and point tracking, not multimodal language reasoning.
Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion This paper proposes a dimensionless prior to complete dense mesh motion from sparse observations across different geometry families. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:18	Not relevant Addresses geometric motion completion, not safety or deployment reliability guardrails.
Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion This paper proposes a dimensionless prior to complete dense mesh motion from sparse observations across different geometry families. Preprint	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Focuses on mesh motion estimation rather than LLM benchmarking methods.
Dog-Breed Text-to-image Flow Matching from Pretraining to Fine-Tuning on 4 Consumer GPUs This paper presents a framework to pretrain and fine-tune text-to-image diffusion transformers using four consumer GPUs. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Covers text-to-image diffusion training on dog images, not industrial inspection.
EgoExplorer: A Vision-Motion-Touch Observatory for Human Loco-Manipulation In Situ This paper introduces a 100-hour multimodal dataset capturing egocentric video, body motion, and touch for human loco-manipulation tasks. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Studies human loco-manipulation capture, not industrial visual inspection or defect detection.
LoopWAM: Closed-Loop Generalist Policy Improvement from Deployment Rollouts This paper introduces a closed-loop world-action model that improves generalist robot policies using deployment rollouts of mixed quality. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on general robot manipulation policies, not industrial inspection or defect detection.
TrustPaper for forged PDF with Issuer Fingerprints This paper presents an issuer-aware forensic method that uses learned reference fingerprints to detect unauthorized alterations in PDF documents. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:18	Not relevant Focuses on PDF metadata forensics for certificates, not AI system safety.
RoboFake: Are Deepfake Detectors Ready for Humanoid Face Robots? This paper evaluates whether existing deepfake detection models can identify physical humanoid face robots performing speech-synchronized lip movements. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Evaluates facial deepfake detection, not industrial manufacturing or inspection.

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