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Computer Vision
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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 167
SplatQ: Interaction-Aware Pruning of 3D Gaussian Splatting via Quadratic Selection
Existing 3D Gaussian Splatting (3DGS) pruning methods primarily rely on global Top-K selection based on independent importance scores, lacking regional budget control and ignoring joint deletion…Beyond Successful Robot Demonstrations: Learning from Human Interactions and Modeling Failure Dynamics
Action-conditioned world models offer a promising foundation for generalist robotic intelligence by predicting the consequences of actions.S-Space: Exploring Spatial Workspace in Multimodal Language Models
Multimodal language models (MLLMs) exhibit promising spatial reasoning capabilities, yet the internal mechanisms supporting them remain poorly understood.Knowing Whether, Not Just Where: Anchor-Probing Distillation for Open-Set Remote Sensing Visual Grounding
Open-set visual grounding in remote sensing requires models to determine not only where a queried object is located, but also whether the image provides sufficient evidence for the query at all.Efficient Confidence-Aware Densification for 3DGS
3DGS-MCMC has replaced the gradient-driven density control of 3D Gaussian Splatting with opacity-based sampling and relocation, and is now the de facto standard for prior-free densification under a…MOSAIC: Multi-Scale Object-Centric Slot Adaptation with Image-Guided Prototype Conditioning for Remote Sensing Image Super-Resolution
Pretrained diffusion Transformers provide powerful generative priors for image restoration, yet adapting them to structure-sensitive tasks remains challenging.Auditing VLM Benchmarks from Existing Evaluation Runs
Every evaluation run of a vision-language model (VLM) already produces per-question artifacts (predictions, judged correctness, metadata) that leaderboards reduce to a single score and then discard.ELMA: Benchmarking Anaphoric Compositions for Long-Term Text-to-Motion Generation
Text-guided long-term human motion generation is essential for applications such as continuously operating digital avatars.Learning Holistic Scene Layout against View Shifts in Cross-View Geo-Localization
Cross-view geo-localization remains challenging due to drastic appearance variations and geometric distortions caused by viewpoint changes.What We Talk About When We Talk About Emotion Editing
Emotional image editing aims to change the emotion a scene conveys while preserving its essential content.RARA: Robust Policy Fine-Tuning through Retrieval-Anchored Representation Alignment for Robotic Manipulation
Pre-trained robot policies, such as Vision-Language-Action (VLA) models, provide a strong foundation for generalist robotic manipulation, but adapting them to new tasks with only a few…Thyroid Nodule Segmentation in Ultrasound Images with Conformal Uncertainty Estimation
Thyroid nodules affect a large proportion of the general population.CUBE: Class-conditioned Unknown Boundary Evidence for Open-Set Insect Species Recognition
Open-set insect species recognition faces significant challenges when deployed in real-world biodiversity scenarios, particularly when encountering unknown species that are visually close to known…Multi-Stream Attention Residuals
Attention Residuals (AttnRes) enables content-dependent retrieval over network depth, which can be viewed as single-stream softmax attention along the depth axis.Benchmarking Answer-Grounding Consistency in Remote Sensing Visual Question Answering
In grounded remote sensing visual question answering, a model produces a textual answer and identifies relevant objects in the image as grounding evidence.Model-agnostic Knowledge Augmented Machine Learning for Weakly Annotated Bioimaging Data
Machine learning models are increasingly used for automated feature extraction from weakly annotated bioimaging data, such as microscopy and cytomorphology images.Can Multimodal Decision Models Classify Breast Ultrasound Images? Benchmarking CLEF and CLEF-Flash Across Prompts and Datasets
Multimodal decision models return probabilities over predefined alternatives, offering a structured interface for image classification.PhysForge: Material-Controllable 3D Reconstruction with Separable Components
Recent advances in physical 3D generation have enabled visually faithful assets with simulatable mechanical behavior.X-AVDD: Cross-Attentive Audio-Visual Dataset Distillation
Audio-visual dataset distillation aims to synthesize a small dataset from a large paired audio-visual dataset, while nearly preserving the training utility for neural networks.Improving Semantic Coverage in AI Test & Evaluation through Generative Augmentation
In test and evaluation (T&E) of AI models, evaluators typically have access only to a held-out test dataset and no knowledge of the training data or its semantic composition.