Every paper checked — nothing hidden

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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
Flow-Support-Weighted Proposals for Test-Time Verified VLA Policies Introduces a training-time sampling method to prevent action proposal collapse in vision-language-action models tested with verifiers. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Robotic policy action sampling, not industrial visual inspection or defect detection.
Attribute-Centric Vision-Language Alignment for Fine-Grained Gait Understanding Presents a dataset and vision-language alignment framework for fine-grained human gait attribute recognition from walking sequences. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Human gait analysis, not industrial visual inspection or defect detection.
ToF-Wheel Odometry: Navigating Degeneration of Localization With Limited Sensing Capabilities Combines wheel kinematics with Time-of-Flight camera geometry using directional covariance shaping to prevent odometry divergence. Peer-reviewed	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Robot odometry and localization, not industrial defect detection or visual quality control.
ToF-Wheel Odometry: Navigating Degeneration of Localization With Limited Sensing Capabilities Combines wheel kinematics with Time-of-Flight camera geometry using directional covariance shaping to prevent odometry divergence. Peer-reviewed	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Addresses robot state estimation from wheel odometry and ToF sensors, not multimodal models.
EviScene: Beyond "Is It AI?" for Agentic Image Factuality Assessment Introduces a benchmark and multimodal agent that uses visual inspection and external retrieval to verify real-world image factuality. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Image factuality verification, not industrial visual inspection or defect detection.
DuSRFlow: Dual-Lens Super-Resolution via Parallax-Aware Flow Estimation and Complementary Reference Warping Develops a dedicated flow estimator and reference warping method for dual-lens super-resolution under large parallax conditions. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Consumer camera super-resolution, not industrial visual inspection or defect detection.
DuSRFlow: Dual-Lens Super-Resolution via Parallax-Aware Flow Estimation and Complementary Reference Warping Develops a dedicated flow estimator and reference warping method for dual-lens super-resolution under large parallax conditions. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses purely on dual-lens image super-resolution, not multimodal models.
Automatic assembly modeling through attention-based assembly feature mate prediction and assembly feature pattern recognition Presents an attention-based assembly feature mate prediction model to automate CAD assembly modeling from unassembled boundary representation parts. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Deals with 3D CAD B-Rep geometry, not multimodal vision-language models.
Automatic assembly modeling through attention-based assembly feature mate prediction and assembly feature pattern recognition Presents an attention-based assembly feature mate prediction model to automate CAD assembly modeling from unassembled boundary representation parts. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant CAD assembly modeling, not manufacturing defect detection or visual quality control.
Can Synthetic UAV Benchmarks Be Trusted? Real-Synthetic Validation for UAV Model Selection Investigates whether synthetic aerial imagery benchmarks preserve model-selection rankings compared to evaluations on real drone data. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant UAV aerial perception validation, not multimodal foundation model research.
Can Synthetic UAV Benchmarks Be Trusted? Real-Synthetic Validation for UAV Model Selection Investigates whether synthetic aerial imagery benchmarks preserve model-selection rankings compared to evaluations on real drone data. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Synthetic UAV imagery evaluation, not industrial manufacturing quality control.
TAG: Calibrating SAM3 for Universal Image Segmentation without Dense Supervision Proposes a text anchor re-grounding method using low-rank adapters to improve concept recognition in Segment Anything Model 3. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Universal image segmentation, not industrial defect detection.
TGuide: Faster Autoregressive Video Diffusion via Historical Trajectory Guidance Accelerates few-step autoregressive video diffusion by predicting features from historical sampling trajectories across video chunks. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Video diffusion acceleration, not manufacturing anomaly detection.
TGuide: Faster Autoregressive Video Diffusion via Historical Trajectory Guidance Accelerates few-step autoregressive video diffusion by predicting features from historical sampling trajectories across video chunks. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Video diffusion sampling acceleration, not multimodal models.
TETRIS-4DGS: Efficient Post-Training Compression of 4D Gaussian Splatting Introduces an adaptive quantization and packing framework to compress 4D Gaussian Splatting dynamic scenes using standard video codecs. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Compression for 4D Gaussian splats, not industrial inspection.
TETRIS-4DGS: Efficient Post-Training Compression of 4D Gaussian Splatting Introduces an adaptive quantization and packing framework to compress 4D Gaussian Splatting dynamic scenes using standard video codecs. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Dynamic scene rendering representation, not multimodal reasoning.
SPARE: Shared Perception and Adaptive Retrieval of Evidence for Streaming Video Understanding Presents an adaptive retrieval framework that selectively retrieves historical video context to assist streaming question answering. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Streaming video question answering, not industrial defect detection.
Competition Domains Matter: Selective Head Globalization for Training-Free Sparse Attention in Video Diffusion Transformers Develops a training-free sparse attention routing method that adapts competition domains across attention heads in video diffusion transformers. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Attention optimization for video generation, not multimodal model reasoning.
Competition Domains Matter: Selective Head Globalization for Training-Free Sparse Attention in Video Diffusion Transformers Develops a training-free sparse attention routing method that adapts competition domains across attention heads in video diffusion transformers. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Efficient attention for video diffusion, not industrial defect detection.
CAST-ASD: Causal Attention over Speakers and Time for Online Active Speaker Detection Proposes a causal joint attention model across faces and time for low-latency active speaker detection in multi-person video. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Active speaker detection, not industrial anomaly detection.
HumanPhys: A Human-Centric Physical-World Perception Benchmark for Real-World Visual Reasoning Introduces a benchmark probing physical perception tasks related to humans, including depth, trajectory, illumination, and kinematics. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Physical world human reasoning, not factory visual inspection.
Demiurge: Forging Navigable 4D Worlds via Autoregressive Video Rerendering Presents an autoregressive video rerendering pipeline using a dynamic 4D point-cloud memory cache for novel-view video synthesis. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Novel-view video synthesis, not industrial defect inspection.
Demiurge: Forging Navigable 4D Worlds via Autoregressive Video Rerendering Presents an autoregressive video rerendering pipeline using a dynamic 4D point-cloud memory cache for novel-view video synthesis. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Video generation and rerendering, not multimodal foundation models.
PURE: Refining Feed-forward 3D Reconstruction with Unlabeled Post-training Refines feed-forward 3D reconstruction models on dynamic video through unlabeled post-training using relative depth constraints and 2D priors. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Dynamic video 3D reconstruction, not manufacturing inspection.
PURE: Refining Feed-forward 3D Reconstruction with Unlabeled Post-training Refines feed-forward 3D reconstruction models on dynamic video through unlabeled post-training using relative depth constraints and 2D priors. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Computer vision 3D reconstruction from video, not multimodal reasoning.
PixARG: Pixel-Asynchronous Retrieval-Augmented Diffusion for Fast and Realistic Image Generation Integrates real-world image retrieval into diffusion models using pixel-level affinity maps and heterogeneous noise initialization to accelerate generation. Peer-reviewed	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Retrieval-augmented image synthesis, not industrial quality control.
LightVAE: Towards Compact and Efficient Video Autoencoders Proposes a video autoencoder compression framework that uses temporal low-rank approximation to reduce computation in latent video diffusion. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Pure video autoencoder architecture, not multimodal vision-language learning.
LightVAE: Towards Compact and Efficient Video Autoencoders Proposes a video autoencoder compression framework that uses temporal low-rank approximation to reduce computation in latent video diffusion. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Video compression for diffusion models, not industrial inspection.
Align-VAE: Aligning Attention and Geometry in VecSet VAEs for 3D Reconstruction Introduces modifications to set-based variational autoencoders to improve geometric alignment and attention quality in 3D shape reconstruction. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant 3D geometric shape reconstruction, not industrial defect detection.
Align-VAE: Aligning Attention and Geometry in VecSet VAEs for 3D Reconstruction Introduces modifications to set-based variational autoencoders to improve geometric alignment and attention quality in 3D shape reconstruction. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant 3D shape latent representation learning, not cross-modal understanding.
Japanese Handwriting Generation Based on Human Preference Feedback Using Direct Preference Optimization Applies Direct Preference Optimization to align generative models with human handwriting preferences and capture natural shape variability. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Image generation of handwriting styles, not multimodal vision-language understanding.
Japanese Handwriting Generation Based on Human Preference Feedback Using Direct Preference Optimization Applies Direct Preference Optimization to align generative models with human handwriting preferences and capture natural shape variability. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Handwriting generation, not industrial visual quality control.
BridgeWAM: Bridging Video and Action Experts via Latent Bridge Queries The paper presents an architecture that decouples video and action prediction models using latent bridge queries. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Robot manipulation action models, not industrial visual inspection.
[Re] Boosting the Visual Interpretability of CLIP via Adversarial Fine-Tuning The paper presents a reproducibility study and an explicit saliency supervision extension for adversarial fine-tuning of CLIP vision models. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Interpretable CLIP fine-tuning, not industrial inspection or quality control.
Towards Privacy-Preserving Thermal Human Perception from Dataset to Deployment The paper presents an indoor paired thermal and RGB dataset and benchmarks for privacy-preserving human occupancy detection. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Paired RGB-thermal vision perception, not general multimodal reasoning or VLMs.
Towards Privacy-Preserving Thermal Human Perception from Dataset to Deployment The paper presents an indoor paired thermal and RGB dataset and benchmarks for privacy-preserving human occupancy detection. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Indoor human perception and sleep monitoring, not industrial manufacturing.
CAST: Real-Time Motion Capture for Any Skeleton Topology The paper proposes a motion capture framework that predicts and aligns joint rotations across arbitrary target skeleton topologies from monocular video. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Monocular motion capture, not industrial visual inspection or defect detection.
CAST: Real-Time Motion Capture for Any Skeleton Topology The paper proposes a motion capture framework that predicts and aligns joint rotations across arbitrary target skeleton topologies from monocular video. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Single-modality 3D pose and motion capture from monocular video.
ScalLoc: Continuous Oblique Thermal UAV Geo-Localization with a 2D Satellite Map The paper introduces a framework for continuous oblique thermal drone geo-localization using 2D satellite maps in navigation-denied settings. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Thermal-to-satellite geo-localization, not general vision-language or multimodal models.
ScalLoc: Continuous Oblique Thermal UAV Geo-Localization with a 2D Satellite Map The paper introduces a framework for continuous oblique thermal drone geo-localization using 2D satellite maps in navigation-denied settings. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant UAV geo-localization, not industrial defect detection or manufacturing inspection.
MORE: Learning Motion-Oriented Registers for Driving World Models and Planning The paper proposes learning motion-oriented register tokens during video pretraining to provide compact state representations for driving world models. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Autonomous driving world models, not industrial inspection or defect detection.
MORE: Learning Motion-Oriented Registers for Driving World Models and Planning The paper proposes learning motion-oriented register tokens during video pretraining to provide compact state representations for driving world models. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Autonomous driving representation learning, not general multimodal models across modalities.
Scalable Multi-Human Cooperative Manipulation via Commander-Executor Coordination The paper introduces a hierarchical commander-executor framework to coordinate multi-agent cooperative object manipulation tasks in physics simulations. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant General robotics manipulation, not manufacturing visual inspection.
Scalable Multi-Human Cooperative Manipulation via Commander-Executor Coordination The paper introduces a hierarchical commander-executor framework to coordinate multi-agent cooperative object manipulation tasks in physics simulations. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Humanoid robotics control and planning, not multimodal foundation models.
Engram Neuron Inspired Adaptive Memorization for Lifelong Learning The paper proposes an engram-neuron-inspired memory framework using gradient representations to regulate updates in lifelong learning. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on general lifelong learning algorithms, not multimodal modeling.
Engram Neuron Inspired Adaptive Memorization for Lifelong Learning The paper proposes an engram-neuron-inspired memory framework using gradient representations to regulate updates in lifelong learning. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant General lifelong learning algorithm, not industrial visual defect detection.
Text-Guided Medical Image Segmentation via Residual Aggregation and Dense Alignment Representations The paper presents a parameter-efficient architecture connecting text embeddings with mask decoding for language-guided medical image segmentation. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Medical image segmentation, not industrial defect or manufacturing inspection.
DSM-Free UAV Visual Localization via Latent-Depth Variable Projection and Structure-Adaptive Coupling The paper proposes an analytical projection method for drone visual localization over 2D maps without digital surface models. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on UAV visual localization, not industrial defect detection.
DSM-Free UAV Visual Localization via Latent-Depth Variable Projection and Structure-Adaptive Coupling The paper proposes an analytical projection method for drone visual localization over 2D maps without digital surface models. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Presents geometric localization for UAVs, not multimodal models.
CatPortrait: Taming Video Generative Models for Portrait Animation via In-context Conditioning The paper presents a framework that uses structured 3D facial guidance as in-context input conditioning for controllable portrait video animation. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Portrait animation generation, not industrial visual quality control.
AD-GS: Anatomical Density-guided 3D Gaussian Splatting for Sparse-View Dental CBCT Reconstruction The paper proposes an anatomical density-guided 3D Gaussian splatting method for sparse-view dental computed tomography reconstruction. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on dental CBCT medical imaging, not industrial quality inspection.
AD-GS: Anatomical Density-guided 3D Gaussian Splatting for Sparse-View Dental CBCT Reconstruction The paper proposes an anatomical density-guided 3D Gaussian splatting method for sparse-view dental computed tomography reconstruction. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Medical 3D reconstruction method, not a multimodal reasoning model.
Metric-Driven Reinforcement Learning for Object Hallucination Reduction in LVLM-Based Image Captioning The paper proposes a reinforcement learning framework using natural language metrics to reduce object hallucination in vision-language image captioning. Peer-reviewed	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on image captioning hallucination, not industrial defect detection.
Metric-Driven Reinforcement Learning for Object Hallucination Reduction in LVLM-Based Image Captioning The paper proposes a reinforcement learning framework using natural language metrics to reduce object hallucination in vision-language image captioning. Peer-reviewed	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Focuses on hallucination mitigation rather than small or efficient architectures.
Metric-Driven Reinforcement Learning for Object Hallucination Reduction in LVLM-Based Image Captioning The paper proposes a reinforcement learning framework using natural language metrics to reduce object hallucination in vision-language image captioning. Peer-reviewed	LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18	Not relevant Focuses on RL training to reduce hallucination, not benchmark evaluation.
Retraining-Free Depth Pruning of Vision Transformers: A Cross Domain Study of Layer Redundancy The paper evaluates layer input-output cosine similarity to prune redundant layers in vision transformers without retraining. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Focuses on pruning unimodal vision transformers, not multimodal models.
Retraining-Free Depth Pruning of Vision Transformers: A Cross Domain Study of Layer Redundancy The paper evaluates layer input-output cosine similarity to prune redundant layers in vision transformers without retraining. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant General vision transformer pruning, not specific to industrial manufacturing inspection.
CowCare: A Unified Visual Framework for Viewpoint-Robust Cattle Tracking and Spatiotemporal Heat-Stress Analysis The paper presents a visual tracking and analysis framework for multi-camera cattle monitoring and heat-stress detection. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on livestock tracking in agriculture, not industrial manufacturing.
CowCare: A Unified Visual Framework for Viewpoint-Robust Cattle Tracking and Spatiotemporal Heat-Stress Analysis The paper presents a visual tracking and analysis framework for multi-camera cattle monitoring and heat-stress detection. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Deals with video-based tracking, not multimodal language-vision models.
Appearance Compensation in Volume Rendering The paper theoretically analyzes whether volume rendering with independent sources can reproduce external views while maintaining incorrect internal density. Preprint	Multimodal models via arxiv · 15 Oct, 06:18	Not relevant Theoretical physics of volume rendering, not multimodal AI.

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