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 98
Beyond the Frame: Redundancy, Not Trajectory, Carries the Privacy Leak in Video Unlearning
Class unlearning for video segmentation aims to ensure that a removed category cannot be reconstructed from a deployed model's outputs.Recast the Past: Stable Long Video Generation with Full Context Memory
Long-horizon video generation requires retaining an ever-expanding history, but conditioning on its growing token sequence is costly.Matrix-Game 4.0: Harnessing Video Models for Real-Time Playable Game Worlds
Moving from controllable videos to genuinely playable worlds requires persistent world state, executable game rules, and low-latency interaction.Beyond the Evidence Boundary: Behavioral Mirage Under Progressive Degradation in Medical VLMs
VLMs for medical image interpretation are typically evaluated on clean inputs, despite the progressive evidence loss that can occur in high stakes clinical settings.Differentiable Task-Driven Coded Aperture Camera Design with 3D Gaussian Scene Representations
Camera design heavily influences perception task performance, yet cameras are typically designed by domain experts through costly experimentation, in isolation from the tasks they serve.AdaptMIL: Domain Adaptation for Multiple Instance Learning in Digital Pathology
Pathology foundation models (PFMs) support a wide range of histopathology tasks on whole-slide images through multiple instance learning (MIL).P$^3$-VLM: A Point-based Alternative for Grounded 3D Vision-Language Models
Examining existing benchmarks for grounding in 3D VLMs reveals a pervasive "semantic leakage" in the evaluation and prompting protocols: a heavy reliance on bounding boxes as spatial prompts or…Spherical Geometry-Aware Panoptic Scene Graph Generation for Equirectangular Panoramas
Panoptic scene graph generation (PSGG) represents scene entities with segmentation masks and directed relations.A Process-Informed, Photorealistic Digital Twin for Vision-Based Inline Inspection of C-SMC Strip Deposition
Inline quality assurance for Sheet Molding Compound (SMC) manufacturing is hindered by the lack of large-scale, accurately labeled image datasets for training machine-learning models.Assessing Representation Semantics Under Language Pretraining in Fine-Grained Classification
Understanding how supervision signals shape semantic visual representations remains challenging, particularly in fine-grained, low-data settings.Auditing Where Concept Bottleneck Accuracy Comes From on CUB
Concept Bottleneck Models (CBMs) promise predictions that humans can inspect and correct through concepts such as "curved beak".Slot-JEPA: Object-Structured Prediction Interfaces for Latent World Models
As a prototypical latent world model, Joint-Embedding Predictive Architectures (JEPAs) provide strong semantic representations.MoDDiT: Simple Token Routing in Diffusion Transformers
Real-time video generation, interactive world models, and on-device image synthesis are almost a reality.WildAIGC-Bench: Can AI Image Detectors Handle the Wild? A Benchmark of Generated and Edited Images in Online Circulation
AI-generated images linked to news events and online claims can mislead audiences, enable fraud, or cause public controversy.LatticeRank: Spacing-Ranked Consistency for Native-Grid 3D Medical Image Segmentation
Variable voxel spacing changes more than image resolution: it alters the discrete sampling lattice, tensor geometry, and anatomical evidence available to a 3D segmentation network.Reliability-Guided Vision-Language Decoding with Text-Aware Skip Refinement for Medical Image Segmentation
Medical image segmentation remains challenging when targets exhibit limited visual distinction, irregular structure, or substantial variation across imaging modalities.PointForward V2: Point-Aligned Interaction for Feedforward Driving Reconstruction
Feedforward reconstruction of dynamic driving scenes requires integrating observations across multiple views and time steps into a coherent 3D representation.GAMF-Net: Grouped Availability-Aware Multimodal Fusion for Smartphone Skin Lesion Classification
Smartphone clinical images provide a low-cost data source for computer-aided skin lesion classification in resource-constrained settings, but images alone cannot fully capture patients' medical…OV-Foam: How 3D Representations Shape Semantic Feature Lifting
Existing feature lifting approaches for open-vocabulary segmentation rely on simple backprojection to assign features to primitives.DocLayout-YOLO: Axis-Attentive Document Layout Detector with Mesh-Guided Synthetic Pretraining
Accurate and efficient document layout analysis is critical for modern document parsing systems.