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 70
Write What Matters: Disentangling Token Selection from Slot Allocation in Recurrent Memory
Long-sequence models must retain earlier information.GeoPrompt: Geometry-Conditioned Prompt Learning for Underwater Open-Vocabulary Instance Segmentation
Open-vocabulary instance segmentation (OVIS) provides a promising solution for marine perception by recognizing and segmenting categories beyond predefined label spaces.Timing Matters Twice: When to Query and When to Skip in Flow-Matching On-Policy Distillation
On-policy distillation (OPD) enables flow-matching models to acquire complementary capabilities from specialized teachers through supervision on student-generated trajectories.MIS-VQA: An Annotation-Driven Surgical Vision-Language Dataset for Complex Surgical Understanding
Modern surgical AI increasingly requires multimodal understanding rather than isolated perception, yet existing datasets remain largely limited to single-task supervision such as recognition or…StaX-Net: Stackelberg Interleaved Asymmetric Network for Cross-Modality Medical Image Translation
Cross-modality medical image translation is challenged by anatomically inconsistent synthesis that can compromise clinical diagnosis.From Presence Labels to Bounding Boxes: Can Multimodal Large Language Models Scale Surgical Instrument Localization?
Spatial localization of surgical instruments through bounding-box annotations is a foundational component of surgical scene understanding, supporting detection, tracking, interaction analysis, and…CropReward: A Human-Preference Benchmark and Reward Model for Aesthetic Image Cropping
Aesthetic image cropping (AIC) aims to improve image composition and aesthetic quality by removing extraneous or distracting content.BoundedGS: Memory-Efficient High-Resolution Training for 3D Gaussian Splatting
High-resolution 3D Gaussian Splatting training increases pixel and Gaussian-tile intersection counts, expanding rasterization caches that coexist with projection and gradient state at peak memory.ParetoGS: High-Quality Continuous-Budget 3D Gaussian Splatting with Sparse Adapted Anchors
Scalable 3D Gaussian Splatting allows one scene representation to serve different Gaussian-count budgets, yet its quality-budget curve may lag behind models optimized separately for each budget.$Δτ$-Bench: Pushing Agents Toward a Moving Capability
In this paper, we introduce $Δτ$-Bench, an executable agent benchmark that models the structural evolution of large tool ecosystems.RacerGS: Residual-Autoregressive Context for 3D Gaussian Splatting Compression
3D Gaussian Splatting (3DGS) has emerged as a promising approach for fast, high-quality novel-view rendering.Robust Single-Parameter Point Cloud Registration using Truncated Lp Functions
We propose a novel method for robust point cloud registration with only one tunable parameter.ChronoReplay: One Answer Interface Is Not Enough for Streaming Spatial Intelligence
Training a spatial VLM to answer which side an object lies on does not require it to preserve the metric displacement that determines that answer, while supervision for a distance estimate may leave…EditDistill: Is It Possible to Guide Video Editing with Image Editing?
Recent advances in image editing have enabled fine-grained and highly controllable visual modifications.Real-Time Conveyor Belt Defect Detection via Edge TPU-Accelerated YOLOv11 on Raspberry Pi 5
Conveyor belts are vital arteries in continuous bulk material handling, particularly in heavy process industries such as cement manufacturing.Learning Discriminative Prototypes via Boundary Repulsion MixUp for Object Re-Identification
Object re-identification requires embeddings that are robust to intra-class variation in viewpoint, illumination, and occlusion, yet preserve sharp separation between visually similar identities.TopX: Text-to-Motion for Unseen Skeletons from the Skeleton File Alone
Text-to-motion models generate for the skeletons they were trained on, while a new character arrives as a skeleton file and nothing else.CrossPair: Unlocking Generalist Visual Transformation Learning in Image Editors
Language models switch tasks from demonstrations, but vision still often relies on separate systems for restoration, editing, and stylization.Birth-Death Structural Learning for 3D Gaussian Splatting
3D Gaussian Splatting (3DGS) has become a standard representation for real-time novel-view synthesis.Spatially-Aware Self-Organizing Graph Autoencoders via Localized Hebbian Learning
Traditional autoencoders rely on static network architectures to learn latent representations.