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 16
Polarimetric Scattering-Structure Contrastive Learning for Few-Shot HRRP Recognition
Few-shot high-resolution range profile (HRRP) recognition is challenged by strong aspect-dependent variation and sparse novel-class support.SPA-Q: Structure-Preserving Adaptive Post-Training Quantization for Monocular Depth Estimation
Monocular depth estimation (MDE) has advanced rapidly with the emergence of foundation models such as Depth Anything.Hybrid Particle-Voxel Dynamics for Multimodal 3D World Simulation
Predicting how the world evolves in response to robot actions is central to policy learning, evaluation, and planning.3DGS-VBench+ and 3DGSV-Assessor: A Multi-Dimensional Subjective Benchmark and a Reference-Flexible Objective Model for 3D Gaussian Splatting Video Quality Assessment
3D Gaussian Splatting (3DGS) enables real-time novel view synthesis (NVS), but its heavy storage makes compression essential, and both training and compression introduce representation-specific…E2I-Flow: EEG-to-Image Reconstruction via Wavelet-Temporal Cross-Attention and Conditional Flow Matching
Electroencephalography (EEG)-based visual decoding and reconstruction aims to recover visual information from non-invasive brain signals.Learning to Falsify: Hierarchical Multiple Instance Learning for High Resolution AI-Generated Image Detection
Recent advances in generative models have made synthetic images increasingly photorealistic, posing growing challenges to reliable and generalizable detection of AI-generated images.A Universal Raw-IQ Radar Encoder for Cross-Sensor Human Sensing
Radar-based human sensing typically relies on end-to-end task-specific models trained on hand-chosen signal projections, which generalize poorly across unseen users, tasks, and hardware.BtsPruner: Role-Aware Visual Token Pruning for Large Vision-Language Models
Large Vision-Language Models (LVLMs) often process hundreds or thousands of visual tokens, resulting in substantial computational and memory overhead during inference.Predicting Void Points in Self-Occluding Forest Volumes
Synthetic Aperture Imaging (SAI) enables drones to observe forest canopies by warping and averaging multiple displaced views at a common depth.SEEK-VAU: Towards Evidence-Faithful Video Anomaly Understanding via Agentic Search
Most video anomaly understanding (VAU) systems still infer anomaly judgments from evidence collected in a feed-forward way under predefined rules, typically sampled frames, or events clustered from…Multi-Path Mamba Diffusion for 3D Point Cloud Semantic Scene Completion
3D semantic scene completion plays a critical role in enabling various downstream tasks within autonomous systems by estimating both missing geometric structures and semantic information in scene…SparseGraph-I2P: Consistency-Guided Hypothesis Selection for Efficient Image-to-Point-Cloud Registration
Coarse-to-fine image-to-point-cloud (I2P) registration risks discarding correct but ambiguous patch pairs, while retaining more candidates repeats fine matching over overlapping patches.Sparse-View 3D Coronary Reconstruction from Vessel Segmentations Using a Diffusion Prior
Reconstructing three-dimensional (3D) coronary anatomy from sparse angiographic views could support percutaneous coronary intervention, but limited angular coverage and imperfect vessel…Gradient-Guided Orientation Learning for Weakly Supervised Oriented Object Detection
Weakly supervised oriented object detection (WS-OOD) aims to reduce the annotation cost of rotated bounding boxes by leveraging cheaper annotations such as horizontal boxes or points.Polyp Matching Using Deep Learning
A key challenge in colon capsule endoscopy (CCE) analysis is accurately identifying whether multiple images depict the same polyp, which is critical to avoid over-counting and unnecessary clinical…MambaHand: Local Identity and Behavioral Sequence Learning with Mamba for Dynamic Hand Gesture Authentication
Dynamic hand gesture authentication (DHGA) is an emerging biometric technique that contains both physiological and behavioral identity characteristics.ReXMo: End-to-End Video Character Replacement with Expression and Motion Preservation
Video character replacement aims to replace actors while preserving facial expressions, motions, and scene dynamics.Therapy-FIS: A Dataset for Assessing Facilitative Interpersonal Skills in Psychotherapeutic Setting
Facilitative Interpersonal Skills (FIS) is a performance-based assessment method that provides a structured framework for evaluating the interpersonal competencies of mental health professionals.BhopalMLS: A LiDAR Dataset for Semantic Scene Understanding in Heterogeneous Urban Environments
We introduce BhopalMLS, a large-scale Mobile Laser Scanning (MLS) dataset from a dense, heterogeneous urban environment in Bhopal, India, with mixed traffic, informal structures, and narrow…Phase-DGS: Phase-guided Dynamic Gaussian Splatting from Unsynchronized Multi-view Video
Spatiotemporal scene reconstruction with Dynamic Gaussian Splatting (DGS) fundamentally depends on perfect temporal synchronization across all cameras, an assumption rarely achievable in practice.