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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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Rethinking Neural Thickets Without Weight Perturbations
The Neural Thickets hypothesis posits that pretrained language models lie in dense neighborhoods of task-specific experts in weight space, which random Gaussian perturbations can uncover.Micro-Edits: Computational Support for Fine-Scale Edits in Film
In film editing, every frame matters.PathoJev: Efficient Pathology Decisions from Shared Visual Context
Pathology workflows require multiple visual judgments about the same slide, from identifying tumor type to assessing grade and invasion.DyCraft: An Agentic System for Long-Horizon 4D Scene Generation
While frontier coding agents can generate high-quality 3D scenes and articulated assets, they struggle to create coherent long-horizon animations.Drone-PUR: From Visual Clue Discovery to Understanding and Reasoning in UAV Scenes
The reasoning capabilities of vision-language models (VLMs) can be limited by incomplete or inaccurate visual observations in the general domain.EgoHSI3R: Online 4D Hand-Scene Interaction Reconstruction from Egocentric Video
Egocentric videos offer an abundant source of hand-scene interactions for embodied learning, which requires recovering hands, camera, and scene consistently in a shared 3D world.Spatial Atlas-Informed Loss Ensembles for Whole-Body PSMA PET/CT Metastasis Segmentation
Existing whole-body PSMA PET/CT prostate metastasis segmentation methods generally rely on images alone, without explicitly incorporating where metastases tend to occur.Inter-Frame Predictive Contour Coding for Semantic Map Compression
Dynamic semantic maps have become an important intermediate representation for many computer vision applications.AquaProbe: Efficient Adaptation of Frozen Vision Models for Underwater Images
Reliable visual perception is essential for safe autonomous underwater exploration.Sparse Autoencoders for Expert-Assisted Interpretation of Histopathology Foundation Model Embeddings
Histopathology foundation models learn rich embedding representations, but their internal structure remains difficult to inspect.Coupled or Independent? Fault Coupling in Agentic Medical Vision Systems
Vision-language agents equipped with tools expose intermediate outputs for inspection and comparison with the model's reasoning, which may offer safety benefits over single-shot models.No Channels Left Behind: Understanding Diffusion Acceleration through Residual Gates
Training acceleration methods for diffusion transformers, such as REPA and dispersive regularization, are commonly explained by additional supervision, spatial-structure priors, or improved feature…Let LiDAR Decide Where to Look: Geometry-Measured Token Selection for Efficient Sparse Latent World Models
Vision-centric autonomous driving models encode thousands of image tokens per frame, yet most depict sky, buildings, or empty road---content irrelevant to planning.UFMF: Radar-Guided Kinematic Priors for Real-Time 4D Occupancy Forecasting
Real-time 4D occupancy forecasting requires reliably extrapolating both ego motion and surrounding actor motion under strict latency budgets.AVID: A Weakly Aligned RGB-Infrared Dataset and Perturbation Benchmark for Tiny Aerial Targets
Long-range detection of small drones is complicated by their visual similarity to birds and by the limited detail available from ground-based cameras.CAMEL: Cross-Architecture Masked Embedding Learning for Ultra-Lightweight Retinal Foundation Models
Recent progress in deep learning has substantially advanced automated grading of ophthalmologic pathologies, supported by large annotated datasets and improved representation learning.FieldGuideRAG: Image-Grounded GraphRAG for Fine-Grained Recognition with Vision-Language Models
We present FieldGuideRAG, a training-free GraphRAG method in which a vision-language model, or VLM, recognizes fine-grained species by comparing the query with real photographs stored on the nodes…TalkFlow: Structured Latent Flow Matching for Speech Driven Holistic Motion Generation
Holistic co-speech motion generation aims to synthesize coordinated facial expressions, hand gestures, and body movements from speech, which is challenging due to heterogeneous part-specific…RADI3N: GeometRic ImAge EDiting via ParametrIc 3D CoNtrol
Recent diffusion-based methods have substantially advanced image editing, yet parametric 3D control at the part level remains challenging.Prior-Guided Single-Exposure HDR Novel View Synthesis via Base-Gain Representation
Single-exposure high dynamic range (HDR) novel view synthesis (NVS) recovers HDR scenes from low dynamic range (LDR) views captured at a single exposure and estimates camera response function (CRF)…