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: 4,996 arXiv preprints and 4 OpenAlex records.
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Newest papers, page 209
OctMesh: A Unified Octree-Hierarchical Framework for Lossless Triangle Mesh Compression
Lossless triangle mesh compression must preserve both vertex positions and connectivity.A Geometric-Transformation Feature-Adaptive Manifold Restoration Method for Open-Vocabulary Semantic Segmentation of Remote Sensing Images
The semantic information of objects in remote sensing images is typically invariant to geometric transformations from the dihedral group D4.Rethinking Long-Video Efficiency: A Joint Allocation Perspective on Frames, Pixels, and Front-End Latency
Efficient long-video understanding with vision-language models (VLMs) is often framed as selecting informative frames or visual tokens at a fixed native resolution.Trust the View That Sees the Target: Mining Cross-View Conflicts for Reliability-Gated Disaster Damage Assessment
After a disaster, building damage is assessed from overhead tiles and ground-level photographs, and most methods fuse the two views symmetrically, trusting both equally for every building.Synthetic-to-Real ViT-Based Pose Estimation of a Noncooperative UAV
Remote pose estimation of noncooperative Unmanned Aerial Vehicles (UAVs) from imagery is critical, as they cannot be influenced or instrumented in advance.A differentiable Lagrangian-coupled 3D Gaussian Splatting-SPH model for forward simulation and inverse analysis in solid mechanics
Recent advances in generative world models have increased interest in digital models that reproduce both the appearance of real objects and their response to physical interaction.Asynchronous Tracking, Optical Communication and 3D Motion Capture using Event-based Sensors
Inter-robot communication is a key enabling technology in cooperative robotics applications.Any-scale Object Detection using Arbitrary-scaled Images
This paper proposes any-scale object detection using arbitrary-scale super-resolution for continuously rescaling object images, while general multi-scale object detection uses discretely rescaled…LoCoSplat: Real-Time Feed-Forward 3D Gaussian Splatting with Minimal 3D Reasoning
Feed-forward 3D Gaussian Splatting (3DGS) increasingly aggregates multi-view evidence with heavy learned 3D networks.SelectOccFlow: Selective Spatiotemporal Aggregation for 3D Occupancy and Scene Flow Prediction
Comprehensive 3D scene understanding for autonomous driving requires modeling geometry, semantics, and motion.TRIM-ReID: Duplication-Aware Token Reduction and Modality-Aligned Interaction for Multi-Modal Object Re-Identification
Multi-modal object re-identification exploits complementary RGB, near-infrared (NIR), and thermal-infrared (TIR) observations to retrieve target objects.Beyond Plausibility: Verifiable Fine-Grained Image Editing on Structured Assets
Fine-grained image editing requires more than producing a visually plausible result: an editor must execute the requested attribute change precisely while leaving everything else intact.Detecting Defects that Matter: An Application-Driven Benchmark for Anomaly Detection in Manufacturing and Retail Logistics (VAND 4.0 Challenge)
Existing Anomaly Detection benchmarks are saturated and often unrealistic.AgroGround: Multi-Granularity Grounded Recognition in Agriculture
Agricultural visual models are typically evaluated for either recognition or localization, but reliable diagnosis requires identifying what is present and localizing the evidence.UnAct: Gradient-Free Unlearning via Targeted Activation Intervention
Machine unlearning seeks to remove the influence of designated training data from a trained model without retraining from scratch.Video2World: Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos
Building interactive simulators from real-world observations is a promising way to scale embodied data, but current pipelines still rely heavily on manual environment construction and calibration.Multi-Crop Leaf Disease Recognition: A Unified Benchmark and Cross-Region Study
Deep learning models for crop leaf disease recognition routinely report near-perfect accuracy yet are typically trained and evaluated on a single dataset collected under controlled laboratory…RPFQ-ViT: Rotated Phase-Frame Quantization for Extremely Low-Bit Weights in Vision Transformers
Vision Transformers (ViTs) achieve strong performance on image recognition and mobile vision applications, but their high-dimensional linear projections and attention computations still impose…Understanding Clustering in Slot Attention via Particle Dynamics
Studying attention through the lens of interacting particle dynamics has shown how token clustering can emerge from the underlying dynamics.Homogeneous Semantic Alignment and Hierarchical Expert Routing for Radiology Report Generation
Radiology report generation (RRG) aims to convert medical images into diagnostic texts to assist in clinical decision-making and alleviate the workload of physicians.