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 64
Sparse Recovery Bird's-Eye View Model Soup for Robust Camera-Based 3D Object Detection
Camera-based bird's-eye view (BEV) perception methods such as Fast-BEV have demonstrated promising results with fast inference speed and competitive accuracy.Reason or Recite: Complementary Specialists with an LLM Judge for Traffic Anomaly Reasoning
Road anomalies such as collisions, violations, and sudden hazards demand more from video understanding than detection: a practical system must verify what happened, describe the scene, and explain…More Memory, Better Videos? A Controlled Study of Visual Memory in Long-Video Generation
Long-video generators increasingly retrieve past visual observations to prevent identity drift.DUET4D: Self-Corrective Coupled Guidance for Sparse-View 4D Reconstruction
Sparse-view 4D reconstruction is highly under-constrained when only a few cameras are available.Shifted Window Temporal Transformer for YOLO-Guided Phase Recognition in Laparoscopic Cholecystectomy Surgery
Intelligent operating rooms require accurate awareness of surgical workflow for better intra-operative decisions, teamwork, and surgical documentation.When Pointing Becomes Profiling: Social Bias and Refusal in Text-Steerable Visual Encoders
Text-steerable visual encoders condition a frozen Vision Transformer on a natural-language prompt and point at the matching image region, producing prompt-conditioned heatmaps and features.Zero-Shot Monocular Depth Estimation for Visual Perception in Lower-Limb Prostheses
Monocular depth estimation has advanced rapidly with the development of foundation models that demonstrate strong zero-shot generalisation across diverse visual domains.Revealing Imaging Characteristics of Thermal Wakes from Underwater Vehicles Without Cooling-Water Discharge
Small uncrewed underwater vehicles are proliferating and threaten maritime security, yet evade sonar and magnetic sensors built for larger submarines.DriveUniTok: A Unified Multimodal Tokenizer for Driving World-Action Models
World models are emerging as a fundamental component of policy learning for real-world agents, enabling agents to predict future world states and plan actions within a learned representation of the…LOCUS: Locate Once, Check Until Settled. Draft-and-Verify Visual Grounding with a Box Head and Coordinate-Token Verification
Vision-language models (VLMs) ground a referring expression in one of two ways.Kronecker-Structured Video Completion with Cross-Fitted Self-Supervised Residual Learning
Tube-wise video completion reconstructs temporal trajectories at spatial locations unobserved in every frame.MemVLN: Streaming Episodic Memory for Vision-Language Navigation
Vision-language navigation (VLN) requires an embodied agent to follow language instructions through 3D environments.Blendshape Generation for Models with Disconnected Parts: Adding ARKit/MediaPipe Blendshapes to Anime-Style Character Models
Blendshape generation for 3D models has been extensively researched, but very few works address generating blendshapes for models with multiple disconnected parts.Improving VLMs on Scientific Chart Analysis via Autonomous Evolution
Understanding and operating with scientific charts is a standard approach in data analysis, and while humans are good at interpreting such charts, open vision-language models (VLMs) are known to…Reading the Registers of Honorius III without Manual Line Transcription: Forced-Aligned HTR, End to End, Modular or Hybrid
Unlocking medieval archives at scale is bottlenecked by the cost of line-level diplomatic transcriptions and manual abbreviation expansion.Test-Time Prompt-Agnostic Decomposition
Test-Time Prompt Tuning (TPT) adapts large pretrained models to unseen target distribution shifts by updating only lightweight prompt tokens.Uncertainty Evaluation to Support Safety of the Intended Functionality Analysis for Determining the Applicability of Performance Targets Across Triggering Conditions in ML-Based LiDAR Object Detection
For safety of the intended functionality (SOTIF) analysis according to ISO 21448, a machine learning object detector for light detection and ranging (LiDAR) point clouds can meet a performance…Understanding and Repairing Cooperative Perception under Adverse Weather
A cooperative 3D detector can miss a vehicle even when the LiDAR points on it remain unchanged.Domain-Adapted Latent Diffusion Models for CT-to-PET Image Translation
Positron Emission Tomography (PET) provides important metabolic information for tumor detection and staging but remains significantly less accessible than Computed Tomography (CT) due to its high…Sexual dimorphism and sex-specific features of pediatric hand bone shapes via statistical shape modeling
Understanding the envelope of shape variation encompassing both sexual dimorphism and growth-related changes in living tissue is a non-trivial task.