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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 105
Out-of-Distribution Detection in Continual Learning
Out-of-distribution detection in continual learning (OOD-CL) is highly challenging, as it requires (i) learning a sequence of tasks without catastrophic forgetting, and (ii) identifying unknown…Multi-scale Fusion of Fast Vision Mamba and Foundation Model Features for Patch-Level Gleason Grading in Computational Pathology
Automated Gleason grading of prostate whole slide images (WSIs) enables faster and more consistent cancer risk stratification.LEAP: Accelerating ODE-based Diffusion Sampling with Optimal Linear Leaps
Diffusion models primarily rely on general-purpose ODE-based numerical methods for training-free accelerated sampling, but performance degrades with coarse time discretization.SAPO: Self-Supervised Attention Policy Optimization for Improving Temporal Video Grounding in Vision-Language Models
Video vision-language models (VLMs) have strong semantic understanding, yet remain unreliable at precise temporal grounding.MIRA: A Multimodal Illustrated Deep Research Agent for Controllable Reports
Deep research agents are increasingly capable of searching the open web and synthesizing evidence, yet they remain poorly suited to controllable report generation in multimodal deep research.CondenseVLA: Learnable History Condensation for Efficient Multi-Frame VLA
Robot manipulation often depends on short-term cues - such as brief contacts, temporary occlusions, and intermediate object states - that are ambiguous in a single frame and can only be resolved by…OmniGround: Strengthening Omni-Modal Temporal Grounding via Attention-Consistency Training
Omni-modal large language models can jointly understand video, audio, and text, yet they remain weak at temporal grounding, a capability essential for real-world audio-visual applications.HORIA: 4D Human and Object Reconstruction from a Monocular Video with Interaction-Aware Re-Rendering
Joint 4D reconstruction of a human and object from a monocular video is essential for understanding how people interact with their environment.Token-Set Choice Confounds POPE: A Systematic Audit of Yes/No Extraction in VLM Hallucination Evaluation
We set out to reproduce a recent hallucination-mitigation result on the POPE benchmark.On the Benefits of Uncertainty Estimation for Species Classification: A Case Study on Optimizing Expert re-Annotation
Automated identification of diatoms from microscopic images is a cornerstone of large-scale freshwater biomonitoring, yet the high diversity of species and strong class imbalance pose significant…TempoMoE: Identifying and Steering Fast-Slow Thinking Experts for Efficient Multimodal Reasoning
Multimodal Mixture-of-Experts (MoE) reasoning models rely on long chain-of-thought (CoT) for complex tasks, yet often overthink easy inputs, increasing token cost and latency, and sometimes…Curvature as a Baseline: Monocular Pose Measurement of Cylindrical Objects with Dual Colour Stripe Markers
Thin cylindrical objects offer little space for planar markers.FrameGRPO: Incentivizing Video Reasoning via Multi-Frame Rollouts and Temporal Credit
Reinforcement learning with verifiable rewards, particularly Group Relative Policy Optimization (GRPO), has improved video reasoning in multimodal large language models.TamedFlow: Trajectory-Aware Distillation for Teacher-Assisted Diffusion Sampling
Diffusion Transformers (DiTs) deliver high-fidelity image and video generation, but inference requires many sequential model evaluations.After the Federation: Benchmarking Knowledge Portability to Heterogeneous Newcomers
Once historical clients become unavailable, a federation must serve newcomers through the artifact it leaves behind.AVTime: Reinforcing Dense Audio-Visual Captions with Bidirectional Alignment
Dense temporal audio-visual captioning is important for multimodal video understanding and generation.Procedural Exposure Bias in Skill-Augmented Language Model Agents
External skills provide language-model agents with reusable procedural knowledge, yet how models use such knowledge after it is supplied remains poorly understood.Learning the Dose Manifold: A Latent Diffusion Framework for Volumetric Dose Prediction in Automated Radiotherapy Treatment Planning
Automated treatment planning (ATP) aims to reduce the unwarranted inter-planner variability of manual planning, while improving treatment quality and efficiency.PhysSkin++: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning
Generalizing real-time physics-based animation across diverse 3D shapes and spatial discretizations remains challenging.Risk Decomposition for Hallucination-Aware Video Sampling
Despite achieving high visual fidelity, video models still suffer from physical hallucinations, limiting their reliability as world simulators.