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 57
uTHCD-C: A Corruption-Robustness Benchmark for Tamil Handwritten Character Recognition
Evaluation of Tamil handwritten character recognition (HCR) has largely focused on clean test images, and a standardized multi-corruption robustness benchmark for isolated Tamil HCR has not been…LingGS: Decoupling Feed-Forward Geometry Prediction from Camera Tracking for High-Fidelity Gaussian SLAM
Achieving high-quality reconstruction and responsive camera tracking remains challenging for monocular RGB Gaussian splatting SLAM under a limited optimization budget.Evaluating AlphaEarth Embeddings for Crop Classification: Separability, Temporal Dynamics, and Cross-Regional Transferability
Earth Observation (EO)-based agricultural monitoring is shifting from pixel-level spectral analysis toward representation-driven modeling, yet systematic evaluation of learned representations…Forget the Data, Keep the Capability: Switchable Unlearning for Retrieval
Privacy compliance requires re-identification models to selectively forget individuals while preserving their ability to recognize others.ActiveAlign: Aligning Egocentric Manipulation via Active Perception
Real-to-Sim-to-Real (Real2Sim2Real) enables structured world representations for planning, interpretability, and safe execution.Tail Cues, Principal Corrections: Plug-and-Play Rectification for Open-Set Test-Time Adaptation
Open-Set Test-Time Adaptation (OSTTA) operates on non-stationary target streams where covariate and semantic shifts coexist.RangeRectQuant: Compressing Scientific Fields for Every Future Rectangular Sum
Scientific rasters are often stored before the regions to be measured are known.AdaGround: Token-Normalized Adaptive Zooming with Verifier-in-the-Loop Refinement for GUI Grounding
GUI grounding on high-resolution screens fails mostly on small targets, and zooming in is a common training-free remedy.HoloRecon: Incremental Reconstruction of Long-Range Panoramas with Global Consistency
Long-sequence panoramic reconstruction requires detailed scene geometry and globally consistent camera poses across distant revisits.GUI-JEPA: Candidate-Conditioned JEPA Latents as a Fast Action Policy for Mobile GUI Agents
Mobile GUI agents are typically fine-tuned 7B-scale vision-language models (VLMs) that generate each action as text.PREEN: Exemplar-Based Color Style Transfer with Smartphone Editor Presets
We present PREEN (Preset Regression via an Exemplar-based Editor Network), which casts color style transfer as regression onto the 29 parameters of a deterministic image editor.DocXEval: A Systematic Evaluation of Explainability in Multimodal Document Understanding
Multimodal transformer models have driven unprecedented performance breakthroughs in modern document understanding.Dense Representation Learning and Differentiable Shape Modeling for Spine Landmark Detection
Spine landmark detection from spinal X-ray is a key step for estimating spine deformation severity, for building biomechanical models, and for pre-operative planning.Mining the Nineteenth Century for the Thirteenth: Register-Scale Forced Alignment and HTR Bootstrapping via Legacy Regesta and Antiquarian Editions
Handwritten text recognition (HTR) for the registers of Pope Honorius III depends on modern expert transcriptions, which exist only for regnal years 1-2 of Reg.Explicit Regional Representations For Video Quality Assessment
End-to-end video quality assessment (VQA) methods leave the regional evidence underlying their predictions largely implicit.LearnPrunerV2: Learnable Progressive Token Pruning for Vision-Language Models
Vision-Language Models (VLMs) have demonstrated remarkable multimodal capabilities but suffer from prohibitive computational overhead due to the massive number of visual tokens.GPA-VGGT: Geometry-Preserving Acceleration of VGGT
Feed-forward geometry models such as VGGT recover camera parameters, depth maps, and point maps from one to hundreds of views in a single forward pass, making them powerful backbones for multi-view…RePAIR: Inverting Backdoor Attacks in Semantic Segmentation
Despite significant advances in computer vision, semantic segmentation models remain vulnerable to backdoor attacks, posing a security risk.V-LUMEN: Visual Lookup Memory for Embedding Scaling in Vision-Language Models
Embedding-level scaling expands the capacity of language models through lookup-based memory rather than by increasing model depth, width, or dense computation.Ground-to-Satellite Knowledge Distillation for Crop Classification under Temporal and Geographic Shift
Continuous and up-to-date crop type mapping is essential for agricultural monitoring but is often hampered by limited reference data.