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 215
HexVIO: Towards All-Day Stereo-Inertial Tracking Through Commodity DSPs
The ability of a device to localize itself within its surroundings is a fundamental prerequisite for spatial computing.Wrong Organ, Right Physics: Transferring Echocardiography Pretraining to Lung Ultrasound for Tuberculosis Screening
Lung ultrasound (LUS) is attractive for tuberculosis (TB) screening at primary-care level, but labelled cohorts are small.T3lescope: Arbitrary-Resolution High-Fidelity Generative Surface Reconstruction from Images
We reconstruct high-fidelity 3D scene meshes from posed multi-view images without per-scene optimization, across scales ranging from single objects to large outdoor scenes.A Fully Automatic Pipeline for 3D Dendrite Instance Segmentation in SBF-SEM
Accurate three-dimensional (3D) reconstruction of individual dendrites in serial block-face scanning electron microscopy (SBF-SEM) is essential for quantifying structural plasticity in the brain…LAS-CLIP: A Lightweight Adapter Steering Approach for CLIP's Visual Encoder
CLIP's visual encoder produces only global image representations, limiting its use in region-level tasks.EVEWorld: Physical Evolution Supervision for Embodied World Models
Embodied world models enable scalable simulation of embodied interactions for robot learning.Interpretable Deepfake Detection in Videos via Explicit Forensic Features and Temporal Modeling
Deepfake detection in videos remains challenging, as manipulated content may appear visually consistent at the frame level while exhibiting subtle temporal inconsistencies.From Patching to Pruning Visual Computation in Vision Language Models
Vision language models (VLMs) incur substantial inference cost because every visual token is processed by the attention and MLP projections of every decoder layer, even when token-specific visual…Native Action-Prior Learning from Videos for World Action Models
World action models integrate future visual dynamics with robot action prediction, but their scalability remains limited by the need for action-annotated robot trajectories.Beyond Entropy: Self-Diagnostic Multi-Role Token Optimization for Video Reasoning
Reinforcement learning with verifiable rewards has substantially advanced multimodal reasoning, yet it remains fundamentally limited by ambiguous token-level credit assignment.ForestQuery: Boundary-Aware and Spatially Anchored Query Learning for Unified Forest Point Cloud Segmentation
Forest point cloud segmentation is fundamental for fine-grained 3D forest scene understanding, yet remains challenging due to irregular tree structures, severe occlusions, density variations, and…Iterating Consistency Models: Stability, Error Bounds and Noise Schedules
Consistency models (CMs) have become a leading approach for generating high-quality samples in few steps.OuroReward: Sequential Reward Scheduling for Reinforcement Learning in Text-to-3D Generation
Reinforcement learning (RL) for Text-to-3D (T23D) generation requires optimization across multiple quality dimensions such as semantic alignment and texture clarity.The Shape of Speech: A Geometric Measure of Coarticulation for Speech-Driven 3D Facial Animation
Speech-driven 3D facial animation can reproduce recognizable mouth poses.Depth Hypothesis Guided Iterative Refinement for Event-Image Monocular Depth Estimation
Event cameras hold excellent dynamic properties, showing great potential for monocular depth estimation (MDE).ChromaGS: Text-Driven Semantic Editing of 4D Gaussian Avatars
We present ChromaGS, a method for real-time, language-guided color editing of animatable 3D Gaussian head avatars.Corrupted but Correct: Why Vision-Language Models Lie to Themselves Internally
A targeted adversarial perturbation can drive a vision-language model's (VLM's) teacher-forced training loss for a fixed target caption to near zero, yet the same model, allowed to generate freely…I2CD: Direct Image-to-Convex Decomposition for Simulation-Ready Collision Geometry
Physics simulators and motion planners require convex collision geometry, yet image-to-3D generative models output dense, frequently non-manifold visual meshes.Preserving Anatomical Continuity: Three-Stage Pipeline for Colon Segmentation in 3D Abdominal CT Scans
Accurate colon segmentation from CT images is essential for colorectal disease analysis, yet deep learning based methods often produce disconnected predictions due to complex anatomy.A Vision-Language Model (VLM)-based Pipeline for End-to-End Procedural Modeling of Field-Grown Maize from Point Clouds
Editable 3D models of field-grown crops support high-throughput phenotyping and in silico breeding trials, but building them from scanned point clouds requires organ-level segmentation and fitting.