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: 4,999 arXiv preprints and 1 OpenAlex record.
Get the few papers worth your time in Computer Vision every morning.
Follow Computer Vision and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 136
Complementary Future Token Pruning for World Action Models
World action models (WAMs) jointly predict future visual states and robot actions, but processing dense future-frame tokens incurs substantial inference latency.Why 3D Reconstruction Breaks Down on Under-Ice AUV Video, and How to Predict It
Reconstruction of 3D structures using under-ice AUV video footage has been inaccurate, although it is not certain whether this is due to shortcomings in the methods or an inherent deficiency of the…GeoCloak: An Agentic Framework for Semantics-Preserving Geolocation Privacy via Peripheral Clue Manipulation
The rapid advancement of large vision language models (LVLMs) has made geolocation inference from images highly accurate and accessible.GDBA-Net: A Gated Dual-Branch Adaptation of SAM2 for Robust Cross-Domain Nuclei Segmentation
Accurate nuclei segmentation underpins quantitative computational pathology, yet remains challenging due to morphological variability, weak boundaries, nuclear crowding, and pronounced domain shifts…Feasibility of a Patient-Specific Digital Twin for Ventriculoperitoneal Shunt Trajectory Planning
Catheter obstruction is the commonest cause of shunt failure; freehand insertion at Keen's point leaves the tip free in cerebrospinal fluid in only one case in ten.VisualWorldBench: A Fine-Grained Multi-Task Benchmark for Evaluating Visual World Knowledge in MLLMs
Visual world knowledge is a core capability of multimodal large language models (MLLMs), underpinning knowledge-intensive visual question answering and fine-grained visual reasoning.When Pairwise Preferences Cycle: A Reliability-Anchored Preference Walk for Video GRPO
Pairwise preference feedback has become a widely adopted supervision signal for reinforcement learning in video generation models, as pairwise comparisons provide a more reliable alternative than…RTAformer: Relation-Transition-Aware Transformer for Video Scene Graph Generation
Video scene graph generation (VidSGG) aims to capture objects and their evolving relationships in videos.RepForcing: Representation-Space Initialization for Autoregressive Video Distillation
Distilling pretrained video diffusion models into few-step autoregressive (AR) generators typically combines student initialization with distribution matching distillation (DMD).DreamHMR: From Video Generation to Human Motion Modeling via Structural Focusing
Human mesh recovery (HMR) provides a geometric foundation for understanding human motion, but accurately reconstructing both body motion and fine hand articulation from videos remains challenging…StreamErase: Towards Ultra-Fast Streaming Video Erasing
Current video object removal methods suffer from prohibitive latency (minutes per video) and non-causal processing that prevents real-time interaction.Attention-Based Spatio-Temporal Approach for Fire and Smoke Detection
In various industries, smoke and fire are two of the most important threats in the workplace.Dataset-Level Regularization for Joint-Embedding Self-Supervised Learning
Self-supervised joint embedding learning aligns representations of augmented views while regularizing their distribution to prevent collapse.OneLA: Learning Many Worlds from Latent Actions
Learning world models across diverse domains calls for a unified control space, yet ac- tion interfaces vary across domains and action annotations are often scarce.Continual pretraining Prostate MRI ViT Encoder for task alignment
Building foundation models for MRI has emerged as a promising direction for advancing medical image analysis and improving accessibility of task specific models.Glance Forcing: Making Bidirectional Diffusion Autoregressive at a Glance
Autoregressive generation underlies real-time, causal video synthesis and is the backbone of video world models.PAWA: Panoramic Action-conditioned World Modeling for Multiple Agents
A multiplayer world model must predict how the independent actions of several players change a shared environment, including changes outside a player's current field of view.Contrastive uncertainty learning for robust multi-structure segmentation in lower-pelvic MR
Boundary delineation of anatomical structures in prostate MRI is often compromised by regional ambiguity.GLoD-LVSM: Learning Geometry-Grounded Continuous-LoD Scene Representations for Large View Synthesis Models
Large view synthesis models (LVSMs) reconstruct scenes from sparse views and render novel views quickly, but they incur unnecessary storage and rendering costs due to token redundancy.Resolution Allocation with Learnable Resizing and Spectral Filter Parameterization
Learnable downsampling and spectral-domain filter parameterizations have each made convolutional networks more flexible, but their interaction has not been systematically examined.