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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 82
KinoUAV: A Benchmark for Safe and Stable UAV Vision-Language Navigation with Kinodynamic Modeling
Unmanned aerial vehicles (UAVs) have recently emerged as important remote sensing platforms, and UAV navigation has shown great potential in remote sensing applications.GSHeadRelight: Fast Relightability for 3D Gaussian Head Synthesis
Relighting and novel view synthesis of human portraits are essential in applications such as portrait photography, virtual reality (VR), and augmented reality (AR).Refining Open-Vocabulary Semantic Segmentation via Regional Semantics and Visual Prototypes
Contrastive Language-Image Pre-training (CLIP) has shown superior performance in the image-level open-vocabulary classification task, benefiting from its powerful alignment of visual features and…FedBST: Bilateral Self-Training for Unsupervised Federated Classification
Unsupervised federated learning with Vision-Language Models (e.g., CLIP) offers a promising solution for label-free classification, yet its performance often degrades under severe non-IID shifts.CODI: Improving Self-Supervised Vision Transformers with Cross Distillation
Self-supervised Vision Transformers learn strong image-level representations, but their patch-level representations can be unreliable for dense prediction.Asking Less, Adapting Better: Feedback-Efficient Test-Time Adaptation for Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) requires agents to follow instructions and navigate to target locations.One-shot federated unsupervised domain adaptation with Smoothed Knowledge Distillation and teacher refinement
Federated unsupervised domain adaptation (FUDA) addresses the challenge of adapting models to an unlabeled target domain using decentralized source domains while preserving data privacy.Residual Calibration via Local Feature-Space Refinement
Deep neural networks often struggle to provide reliable confidence estimates, making post-hoc calibration essential for reliable decision-making.Class-Grounded Batik Captioning under Scarce Text Annotation: Label Retention and Source-Specific Error Propagation
Class labels offer compact supervision for describing cultural-heritage images when expert text annotations are scarce.AgentDreamer: Agentic 3D Motion Reasoning for Text-Controllable Physics Simulation
We propose AgentDreamer, an agent-guided optimization framework that aligns text instructions with simulated motion through explicit 3D motion planning.Zero-Shot Domain Generalization via Domain Prompt Learning
Domain generalization (DG) aims to improve the generalization of the model to any unseen domains.LoRA Superposition across Pretrained Models
Low-rank adaptation (LoRA) is usually tied to the pretrained backbone on which it is learned.ParaLin++: Accelerating Parallel Diffusion Integrator via Intrinsic Partially Linear Structure
Training-free few-step samplers are often described as nearly quality-lossless under conventional FID/CLIP-style evaluation.PhyEvolve: Multi-Agent State-Evolution Planning for Physics-Aware Video Generation
Recent advances in text-to-video generation have substantially improved visual fidelity, yet existing models still struggle to understand the physical evolution implicit in user prompts, making it…Learning from Next-Frame Prediction: Towards Unified and Scalable Visual World Modeling
Video provides a natural source of supervision: what happens next serves as a learning signal for visual world modeling.SmolVLA-MoE: Sparse Mixture-of-Experts for Efficient Multi-Task Robotic Manipulation
Vision-Language-Action (VLA) models have shown promising results in multi-task robotic manipulation by leveraging visual and language understanding for action generation.Where Did the Light Come From? Diagnosing Cast-Shadow Reasoning in VLMs and Borrowing the Missing Shadow Prior from Image Generation Models
Shadows are observable consequences of latent physical causes, arising from the interaction between illumination, object geometry, and scene structure.FilmFlow: Agentic System for 3D Virtual Film Cinematography
Complex camera motion is central to visual storytelling, yet translating cinematographic intent into controllable, executable camera trajectories remains challenging.Evaluation of Front-End Feature Matching for Lunar Visual SLAM
Lunar rovers will primarily rely on cameras for localization until navigation satellite services are deployed, and will continue to need them afterwards for relative navigation, hazard detection…DeXplicit: Making Physical State Explicit in Dexterous Manipulation World Models
Before acting on an object, a robot needs to anticipate how its hand motion will change the physical world and what the resulting scene will look like.