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 106
Not All Similarity Is Leakage: Distribution-Aware Identity Leakage Assessment in Synthetic Face Datasets
Synthetic data provides the means for more ethical and less biased facial recognition.DCR-TSF: Dual-Level Compositional Reasoning with Triadic Spherical Fusion for Training-Free Zero-Shot Composed Image Retrieval
Zero-shot composed image retrieval (ZS-CIR) aims to retrieve a target image that reflects an intended textual modification while maintaining semantic consistency with a reference image.Toolkit for Facial Deidentification
This work presents a novel open-source toolkit designed for the evaluation of face deidentification techniques with available evaluation models.DeOverlay: A Benchmark and Source-Anchored Flow for Video Overlay Removal
Video overlay removal aims to recover scenes obscured by subtitles, titles, and logos while preserving surrounding content.Context-Aware Topological Distillation Graph Network for Asymmetric EEG-Eye Movement Emotion Recognition
EEG-eye movement emotion recognition can support mental-health monitoring and adaptive interfaces, but most fusion models treat the two signals as parallel features, classify each window alone and…RGB--Event Object Detection Across Operating Frequencies via Reliability-Supervised Routing and Asymmetric-Resolution Fusion
Autonomous vehicles must detect objects faster than a frame camera delivers images.GeoNaviDiff: Transferring Disentangled Semantic Controls to Diffusion Features via Local Riemannian Navigation
Disentangled real-image manipulation requires factor-specific semantic control while preserving image fidelity and non-target content.How Robust Are Prognostic Radiomic Features? Comparing Selection Techniques on Pooled Glioblastoma Cohorts
Radiomic survival studies in glioblastoma report heterogeneous prognostic features, but how much of this stems from the methodology itself is rarely examined.PnP-Transformer: A Neural Pose Solver for Zero-Shot 6D Object Pose Estimation
We present PnP-Transformer, a neural pose solver designed as an iterative-free, differentiable alternative to classical PnP-RANSAC algorithms.Optimal Multi-Kernel Combination for Online Multi-Label Classification
Multi-label classification is particularly challenging in streaming scenarios, where data arrives sequentially.TriTD: Tri-Partite Trajectory-Distribution Distillation for Real-Time Autoregressive Video Generation
Autoregressive (AR) video diffusion has emerged as a leading paradigm for efficient video generation, yet its practical deployment remains bottlenecked by the trade-off between generation quality…Learning Goal-Conditioned Subgoals through Frozen Hierarchical World Models
Hierarchical world models plan over long horizons by passing predicted states from a coarse model to a lower-level controller.HP-PnP-Flow: Hybrid Time Scheduling and Projection for Plug-and-Play Image Restoration via Flow Matching
Image restoration is a fundamental inverse problem that seeks to recover high-quality images from degraded observations.Wan-Alpha++: Animating a Single RGBA Asset into Controllable Transparent Video Effects
RGBA video generation is essential for creating compositable visual assets in filmmaking, game development, and digital content production.GeoEdit: Adversarial De-Evidencing for Silent Geoprivacy Protection via Image Editing
Recent efforts have demonstrated the strong capabilities of Multimodal Large Reasoning Models (MLRMs) in geographic reasoning.Focused Omni-Modal GUI Agents
Graphical User Interface (GUI) agents increasingly act over streaming omni-modal observations spanning screenshots, audio, video, interaction history, and device states.ExMR: Extremity Motion Refinement for Monocular Human Motion Capture
Detailed hand and foot articulation is important for animation and motion analysis, yet remains challenging to recover from monocular video.RoAR-VAE: Improving Latent Diffusability through Robust Prediction
An effective visual tokenizer must preserve image fidelity while producing latents that downstream diffusion models can learn efficiently.SAR2Net: Learning Spatially Anchored Representations for Retrieval-Guided Cross-Stain Alignment
Achieving spatial alignment between whole-slide images(WSIs) across stains is essential for integrating morphology and molecular information, yet it remains challenging due to extreme resolution…RECAP: Reciprocal Sparse Attention and Hierarchical Caching for Efficient Video Diffusion
Diffusion transformers generate high-quality videos but remain computationally expensive.