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 56
Look Only When Needed: Certificate-Guided Visual Routing for Efficient Diffusion VLMs
Diffusion vision-language models (DVLMs) process their entire input at every denoising step.Learning Where to Trust: Reliability-Guided Expert Routing and Velocity Gating for 3D Deformable Registration
Deformable image registration relies on accurate anatomical correspondences.SAGE: Saliency-Annealed Gated Encoder for Universal Vision Recognition
When adapting self-supervised Vision Transformers (ViTs) to dense prediction, existing methods often treat the ViT as a passive feature extractor and may underuse the rich priors encoded in its…Progressively Refining SAM for Accurate Phytoplankton Segmentation
Accurate phytoplankton segmentation is essential for ecological monitoring, yet it remains largely underexplored due to the subtle visual characteristics of phytoplankton and the scarcity of…Hy-Nomas: Towards Free-form Interactive World Generation
Interactive world generation requires models to follow successive commands while preserving relevant history and action consequences.Readout and Operating-Point Sensitivity in Event-Stream Candidate Selection
Event-triggered recording needs a useful combination of target capture and false triggers, yet representation comparisons can change with readout and threshold calibration.Multi-task Disentangling Fusion Mamba-CNN for MODIS Spectral-Temporal Unmixing with Endmember Variability Modeling
Spectral-temporal unmixing of MODIS time series is essential for applications such as abundance mapping and spectral library construction, yet it remains challenging due to (i) spectral-temporal…Efficient Remote Sensing Image-Text Retrieval via Interaction-Free Recall and Text-Guided Reranking
Remote sensing (RS) image-text retrieval plays a critical role in understanding massive RS imagery.DocSkill: Skill-Integrated Agentic Reasoning for Multilingual Multi-Hop Document Question Answering
Multilingual multi-hop document question answering (MMHop-DocQA) requires locating and integrating evidence across complex layouts, document pages, and diverse languages.GeoGSplat: Geometry-Grounded Non-Pixel-Aligned Gaussian Splatting
Feed-forward Gaussian Splatting enables efficient novel view synthesis, but pixel-aligned prediction makes the primitive count grow with image resolution and view count, leading to substantial…Evaluation-Guided Demonstration Refinement for Vision-Language-Action Policies: The Winning Entry in the MetaFine Open Competition
We fine-tuned a separate $π_{0.5}$ policy for each of the five tasks in the MetaFine Open Competition, with a task-specific training mixture and number of actions executed per prediction.CVBL-CCTV-Face Dataset for Real-World Face Enhancement and Recognition in Surveillance
In real-world surveillance settings, facial captures from closed-circuit television systems suffer from degradations such as low resolution, motion blur, noise, and occlusions, which undermine…OmniGlimpse: Asymmetric Identity Memory for Online Multi-View Tracking
Multi-view tracking extends visual coverage beyond a single camera, providing complementary observations when targets are occluded or leave the view.Visual Autoregressive Generation with Next Token Imagination
The space of possible visual content is enormous, and arguably unbounded.Latent Visual Contrastive Reasoning with Multi-Branch Exploration
Multimodal large language models have made substantial progress in visual question answering, but complex visual reasoning often requires locating and comparing multiple pieces of question-relevant…TAPESTRY: A Single Backbone for Video Generation and Robot Control
Pretrained video generation models encode rich priors about physical interactions, but leveraging them for robot control typically requires either resource-intensive video generation at test time or…Right Click, Wrong Box: Grading GUI Grounding by What a Click Does
Leading GUI grounders score 93 to 96% on ScreenSpot-v2, and reported gaps between new and prior models are about a point.Drop the Details, Get the Gist: Dynamic Conceptual Representation for Video Recognition
Concept Bottleneck Models (CBMs), which route predictions through a layer of human-interpretable concepts, have substantially improved the interpretability of visual classification by exposing an…MVRCap: Towards Comprehensive Video Captioning via Hierarchical Multi-Dimensional Verifiable Rewards
Despite significant progress, current models struggle to generate comprehensive video captions, constrained primarily by coarse-grained supervision, which often fails to capture spatial-temporal…AxisQ: Depth-Adaptive Channel--Frequency Quantization for Camouflaged Object Detection
Camouflaged object detection (COD) depends on weak texture and boundary cues that can be destroyed by aggressive post-training quantization (PTQ).