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.
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Newest papers, page 11
BudgetSplat: Budget-Controllable Generalizable Gaussian Splatting
Feed-forward 3D Gaussian Splatting enables efficient generalizable novel view synthesis, but existing pixel-aligned methods often generate highly redundant Gaussian primitives, causing the final…SpikePose: Lightweight Video Human Pose Estimation
Efficient video human pose estimation must balance localisation accuracy, motion quality, and energy cost.Learning to Track Cells from Sparse Annotations in 3D Time-Lapse Microscopy
Reconstructing cell lineages from 3D time-lapse microscopy requires distinguishing cell motion from division and inferring temporally consistent connections.Interactive World Simulation with Cosmos for Physical AI
We present a shared framework that adapts Cosmos world foundation models for real-time interactive world simulation in Physical AI.Trick-or-Treat: Adversarial Evaluation of Multimodal Medical Reasoning with Synthetic Images
We used medical image synthesis to create a challenging multimodal evaluation framework that exposes hallucination behaviors in frontier models.Uncertainty-Driven Efficient Communication for UAV-Based Collaborative Perception
Unmanned aerial vehicle (UAV)-based collaborative perception enables multiple agents to share complementary perceptual information, overcoming limitations such as occlusion and limited sensing range.Human Motion Prediction via Continual Prior Compensation
Human Motion Prediction (HMP) aims to predict future human poses at different moments according to observed past motion sequences.Dynamical State-Space Diffusion for Spatiotemporal Prediction
Diffusion models for temporal prediction typically corrupt each future frame with independent noise, leaving temporal dependence entirely to the denoiser.CardioDrift: Automatic Cardiac Motion Tracking on a 3D Atlas Mesh via Shape-aware Coherent Point Drift with Slice Shift Correction
Automatic cardiac motion tracking from cine cardiac magnetic resonance (CMR) imaging is essential for quantifying myocardial motion abnormalities associated with cardiovascular disease.Sekai: Incremental Event Memory for Generalized Reasoning Video Segmentation
Online reasoning video segmentation (Online RVS) requires a model to segment query-referred objects as a video streams in, using only the frames observed so far.Agent-Driven Generative Priors for Pathology Image Synthesis and Segmentation
Deep learning methods for pathology are constrained by the limited availability and high cost of large-scale pixel-level annotations.Dexterous Robotic Hands in the Foundation-Model Era: A Full-Stack Survey of Hardware, Data, Cross-Embodiment Transfer, Learning, and Evaluation
Dexterous robotic hands are increasingly coupled to large-scale human data and foundation models, yet progress in hardware, representation learning and evaluation is often assessed separately.Turns Matter: Advancing Streaming Video RL via Turn-Level Credit
Streaming video understanding requires models to repeatedly decide whether to respond or continue observing.Coupled Scene Graph Anticipation: When With-Constraint Recall Hides Structural Inconsistency
Scene Graph Anticipation (SGA) predicts object relationships in future video frames.TailSteer: Trajectory-Tail Steering for Drift-Resistant Multi-turn Image Editing
Strong single-turn editing performance does not guarantee reliable multi-turn interaction: as edited outputs are repeatedly reused, small unintended changes can accumulate into severe visual drift.EvoWorld: Towards Out-of-Sight World Evolution in Generative Video Models
Generative video models are increasingly used as visual world simulators, yet their primary strength lies in rendering plausible pixels rather than reasoning about how a world should evolve.Route First, See Later: Enabling Vision Agents to Reason Scientifically by Separating Routing Policy from Action Spaces
Scientific image-analysis workflows require agents to select among diverse capabilities like description, detection, counting, and segmentation.Benchmarking Fine-Grained Visual Reasoning for Remote Sensing in Urban Management
Fine-grained visual reasoning is essential for remote sensing in urban management, yet remains underexplored in the evaluation of multimodal large language models (MLLMs).Semantic Residual Vector Quantization for Sign Language Generation
Sign language generation (SLG) maps written sentences into signing motion while preserving both lexical content and fine-grained articulation.VA-TDM: A Unified View for Improving Few-Step Diffusion Models by Velocity Adversarial Distillation
Few-step distillation offers efficient generation with diffusion and flow models, but preserving quality with only a few sampling steps remains challenging.