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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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Newest papers, page 156
Automated carotid artery atherosclerotic inflammation segmentation in PET using MSR-Net
To develop an automated method for segmentation and uptake quantification of carotid atherosclerotic inflammation on 64Cu-CANF-comb PET while accounting for partial-volume and tissue-fraction effects.GeoBridge: Evolving Transferable Decoder Topologies for Geometric Vision
Depth estimation and Gaussian reconstruction share a need for multi-scale feature processing, yet use different prediction interfaces and training objectives.Protein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy Images
The accuracy of detecting protein crystals for fluorescence microscopy images is very critical for high throughput and automated systems.ASM-6D: Fast Certified Pose-Shape Inference with Complete Correspondence Flow Maps
Category-level 6D pose and shape estimation requires recovering an object's pose and geometry from partial observations without an exact instance model.Co-DSL: Human-LLM Co-design of Reusable Spatial Concepts for Layout Generation
We present Co-DSL, a framework in which users and LLMs co-design reusable spatial concepts for layout generation.HGA-Quant: Heterogeneity-Aware Quantization for AutoRegressive Visual Generation Models
Recently, AutoRegressive Visual Generation (ARVG) models have emerged as a competitive paradigm for high-quality image synthesis.Channel Match: Calibrating Shape Latents for Few-Step 3D Generation
Recent native 3D generators achieve high-quality asset creation by modeling structured 3D latents with flow-based transformers, but their high-resolution generation remains computationally expensive…TempoKV: Predictive KV Cache Quantization for Autoregressive Video Generation
Autoregressive (AR) video diffusion models enable streaming generation of long videos but suffer from significant memory overhead due to the rapidly growing KV cache.CIViC: Evidence Gates for Audio-Conditioned Visual Prediction on Proxy Tasks
Removing audio can shift a visual predictor's output without showing whether the task uses the intended audio information.BaT-SAM: Introducing Inductive Bias into SAM via a Mixture of Convolutional Experts for Brain Tumor Segmentation
Accurate brain tumor segmentation from magnetic resonance imaging (MRI) is essential for diagnosis and treatment planning; however, manual delineation is labor-intensive and time-consuming.StimFlow: Synthesizing Brain Activity from Images via Stimulus-conditioned Flow Matching
The inherent variability of fMRI responses across trials encourages a generative view of the stimulus-to-response mapping.Across Viewpoints and Time: Trajectory-Generalizable Physical Attacks on World Models and Video Understanding Models
World models and video understanding models are increasingly deployed in dynamic visual environments, yet their robustness to physical adversarial threats remains largely underexplored.Video-Based Sexual Harassment Detection Using Fine-Tuned Video Transformers
Sexual harassment represents a pervasive societal challenge, with a substantial proportion of incidents remaining unreported due to insufficient evidence and delayed intervention mechanisms.UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space
Generating complete 3D assets from sparse, unposed images requires preserving observed geometry while completing unseen regions.VideoEvoHarness: Self Evolving Agent Harness from Unlabeled Videos for Video Understanding
Video understanding agents rely on a harness to acquire evidence, use tools, and reason, but improving it requires substantial effort.From Acoustic Sensing to Physical Actions: A Comprehensive Survey of Security Risks in Edge-Deployed Audio LLM-Based Agents
Audio Large Language Models (Audio LLMs) are embedded in agents for smart homes, vehicles, wearables, and embodied systems, where acoustic inputs can propagate from perception into persistent state…A Decade of PhotoMappers: A Longitudinal Study of Crowdsourced Disaster Photos Geolocalization with Vision-Language Models and Geospatial Reasoning
Crowdsourced disaster imagery provides timely, ground-level observations when conventional disaster mapping is delayed or incomplete, yet its geographic value depends on where observations are…OmniRSI: Taming Latent Diffusion for Unified Multimodal Remote Sensing Image Generation
Multimodal remote sensing image generation emerges as a promising paradigm for recovering complete and complementary observations from heterogeneous and partially observed remote sensing data.Harnessing SPAD Noise: Test-Time Gated Attention for Indoor Depth Estimation
Monocular depth estimation (MDE) has emerged as a cost-effective alternative to hardware-dependent 3D sensing modalities, yet predicting precise metric depth remains a persistent challenge due to…Rethinking Supervision in Document Unwarping: A Self-consistent Flow-free Approach
In recent years, the proliferation of smartphones has led to an upsurge in the digitization of document files via these portable devices.