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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 59
3D-SceneQ: Empowering 3D LLM With Query-Guided Adaptive Pruning and Multi-Modal Feature Enhancement
Current 3D scene understanding pipelines typically concatenate vast numbers of 3D object tokens with text tokens and feed the resulting sequence to a Large Language Model (LLM).Uncovering Shortcut Amplification in Video RLVR through the Lens of Perceptual Uncertainty Collapse
Reinforcement learning with verifiable rewards (RLVR) has emerged as an effective post-training paradigm for enhancing the video reasoning capability of Large Multimodal Models (LMMs).Retrospective macromolecular pool fraction mapping from conventional clinical MRI: a physics-guided self-supervised deep learning framework
Macromolecular pool fraction (MPF) is a quantitative imaging biomarker sensitive to myelin integrity and other changes in tissue macromolecular content, but specialized acquisitions and…Zhengrong-Spatial-Aware 1.0: Advancing 3D Multimodal Intelligence
This report presents the implementation and validation of two end-to-end multimodal adaptation pipelines for 3D-aware visual question answering on a custom spatial dataset.TopoField: Technical Report for ECCV 2026 SceneFun3D Challenge
Functional segmentation requires locating small interactive parts, such as knobs, buttons, and sockets, in indoor point clouds and returning confidence-ranked instance masks.Vision-Language-Action or World-Action? Just Action Models
The vision-language-action (VLA) and world-action model (WAM) communities debate whether control policies should inherit pretrained knowledge from vision-language models or from visual generators.Subspace Clifford Networks
In this work, we propose Subspace Clifford Networks, a reformulation that replaces global cyclic rolling with grouped subspace interactions.HDVS: semi-supervised semantic segmentation via heterogeneous dual-branch voting supervision
Semi-supervised semantic segmentation, which aims to utilize large volumes of unlabeled images to achieve accurate segmentation results with fewer human annotations, has attracted increasing…GameVerse: A Minute-Scale Gameplay Dataset for Long-Horizon Interactive World Modeling
Recent advances in interactive world models have made it possible to generate controllable, dynamic environments from action inputs.GradCO: Behavior-Aware Gradient-Conflict Offloading for Text-Based Person Anomaly Search
Text-based Person Anomaly Search (TPAS) retrieves a target pedestrian using natural-language descriptions of appearance and normal or anomalous behavior.Taming Noise Initialization for Zero-shot Video Restoration with Image Diffusion Priors
Recent advances in diffusion models have achieved remarkable success in restoring high-quality images in a zero-shot manner.TRUCO: A Scalable Lock-Free Algorithm for Parallel Contour Extraction
Transforming binary masks into geometric contours remains a critical step in many computer vision pipelines, particularly for post-processing high-resolution segmentation outputs.MvT: Event-based Multi-view Projection for Multiple Object Tracking
Event cameras are increasingly used for Multiple Object Tracking (MOT), but their asynchronous event output often requires specialized methods.A Lightweight Attention-Based CNN with Saliency-Map Interpretability for Skin Cancer Detection
Skin cancer is among the most prevalent and life threatening forms of cancer worldwide.Hierarchical Sparse Graph for Multi-dimensional Assignment in Event-based Tracking
Existing event-based tracking methods typically operate in an online manner, associating tracklets across adjacent batches.ScIntBench: Physical Interaction Plausibility in 3D Scene Generation
Existing evaluations of text-conditioned 3D indoor scene generation largely emphasize semantic fidelity and physical validity at rest, leaving interaction-time physical reliability insufficiently…CodeCap-Bench: Can Code Serve as a Good Video Caption?
Video captioning aims to preserve visual information through compact descriptions, predominantly using natural language.TimeLineXR: An Interactive Exploration of Time in Vision-Language Models
Recently, it has been shown that vision-language models (VLMs) have a certain intrinsic understanding of time.EmbeddingGemma 2: Unified and Efficient Multimodal Representations
We present EmbeddingGemma 2, an open multimodal embedding model which natively represents text, images, audio, video, and combinations thereof in a unified space.PDRVLA: A Vision-Language-Action Model with Physical Dynamics Representations
Vision--Language--Action (VLA) models generate robot actions from visual observations and language instructions, but their understanding of physical dynamics remains limited.