AI & Machine Learning · Computer Science & AI
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: 4,996 arXiv preprints and 4 OpenAlex records.
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Newest papers, page 241
Does the VGGT Family Need All Its Layers?
Which layers of a feed-forward geometry model are needed to preserve both camera poses and dense 3D structure?GlassFormer: Learning Real-time Glass Segmentation using Radar-Depth Fusion
Transparent surfaces are ubiquitous in built environments, yet they remain a persistent failure case for robotic perception.Rethinking Multimodal Fake News Detection in the Generative AI Era
Generative content is increasingly entering the production and dissemination of news, transforming fake news from manually fabricated or simply manipulated material into complex forms in which…RoXDrive: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving via Action-Faithful Rollouts
End-to-end autonomous driving policies are commonly trained via imitation learning on logged demonstrations without observing the consequences of their own actions, leading to causal confusion in…Socialality Anchors: Towards Group-bounded Trajectory Prediction
Trajectory prediction is a key component for understanding human behavior patterns in dynamic scenes.S2T-Unet: A Structure-to-Style Framework for Inter-Modality MRI Translation
Inter-modality MRI translation aims to synthesize missing MRI modalities from available acquisitions, reducing the need for additional scanning while preserving clinically relevant anatomical…S4VY: Segment Anything in Feed-Forward 4D Visual Geometry
Accurate instance segmentation in dynamic scenes is important for downstream applications such as robotics and autonomous driving.Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images
Localizing AI-edited regions is essential for interpretable forensic analysis, but remains challenging due to subtle and spatially distributed artifacts that are misaligned with semantic or object…ProGuT: Label-Efficient Panoptic Segmentation for Forest Scenes
Panoptic segmentation in forest environments is bottlenecked not by semantic quality but by instance separation; existing unsupervised panoptic approaches produce usable stuff maps but near-zero…DiffReID: Discriminative Diffusion Model for Object Re-Identification
As a fundamental image processing task, object Re-Identification (ReID) aims to retrieve objects across non-overlapping cameras.RAEGNet: Relation-Aware Evidence Graph Network for Harm-Aware Multimodal Fake News Detection
Existing multimodal fake news detection methods often introduce external information to assist detection.SafeVantage: Vantage-Aware Memory for Reliable Embodied Decisions
Reliable embodied decisions under partial observability require informative observations and sufficient supporting evidence.Representation Dynamics Reveal Semantic Saliency and Similarity for Visual Token Pruning in MLLMs
Multimodal large language models (MLLMs) incur high inference latency from long visual token sequences.Seg3DParts: Segmentation-Grounded Controllable Part-Level 3D Generation
Part-level 3D assets are essential for editing, reassembly, and interaction, yet recovering such structure from a single image remains challenging due to occlusion, ambiguous boundaries, and the…Track-and-Complete: Learning Humanoid Skills from a Single Failed Human Video
Learning humanoid skills from videos typically requires a successful human demonstration, which often demands custom data collection.SFE-VGGT: Source-Free VGGT Distillation for Event-Based Monocular Depth Estimation
Recent event-based depth estimation methods successfully transfer geometric priors from vision foundation models via cross-modal distillation.WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animation
Human image animation aims to transfer motion from a driving video to subjects in a reference image.DispFlow-GS: Displacement Flow Supervision with Motion Disentangling for Monocular Deformable 3D Gaussian Splatting
Accurate dynamic scene reconstruction is important for robotic perception, where temporally consistent representations of dynamic environments are essential.Beyond Readability: Evaluating Task Information Recoverability
Direct visual readability and task-information recoverability are different quantities.Chinese-Jev: Bringing System One Model to Chinese-Language Tasks
System One models such as Jev offer an efficient alternative to generative language models for tasks that require decisions rather than open-ended responses.