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 123
Hierarchical and Query-Aware Visual Token Pruning for High-Resolution LVLMs
High-resolution Large Vision-Language Models (LVLMs) preserve critical, fine-grained visual details by encoding a global thumbnail alongside multiple local crops.Joint, Decoupled, or Agent: When Each Multimodal Alignment Paradigm Wins
Jointly pretrained multimodal encoders are a common way to combine modalities, while alternatives integrate their information during downstream training or inference.BLANC: Adaptive Temporal Scheduling for Sign Language Production
Sign language production (SLP) aims to synthesize expressive signing motion from written text.HAVANA: A Hierarchical Video-Action Model for Vision-Language Navigation
Vision-Language Navigation (VLN) requires long-horizon instruction-consistent planning and short-horizon local planning in current geometry.NV-Generate-Body: 3D Latent Diffusion Model forControllable Anatomy, Tumor, and Demographic Body Mask Synthesis
Curating large labeled CT datasets is expensive and constrained by patient privacy.SERO: Semantic Prediction for Single-Step Object Removal
Object removal and semantic inpainting of missing regions remain inherently ill-posed, as multiple plausible completions may exist for a given scene.Self-Improving Video-to-Action Models
Video generative models are an emerging tool for embodied agents: they can serve as scalable visual planners, generating videos that depict how to complete previously unseen tasks.Precision Cotton Disease Management: Leveraging UAV Imagery and Custom YOLO Deep Learning Framework for Enhanced Detection
Cotton sustains the textile economies of over 80 countries with an annual yield of 113 million bales, yet 30-60% of yield losses are still attributed to viral, bacterial, and fungal diseases that…PREEMPT: Proactive Robustness Evaluation under Editing for Media Protection Techniques
Proactive image protection methods aim to defend visual content against unauthorized manipulation and generative misuse by embedding protective signals into images before release.Landmark-Free and Scale-Blind Multi-View Registration of Preoperative Liver Models to Intraoperative Surfaces
Augmented-reality guidance in laparoscopic liver resection requires aligning preoperative 3D liver models from CT/MRI with intraoperative surfaces.Ghost Attack: Using 19th-Century Illusions to Fool 21st-Century Biometrics
While the Pepper's Ghost illusion is a 19th-century optical technique, we found that this forgotten gimmick exposes vulnerabilities in modern face recognition systems.Encoder-Free Multimodal LLMs Learn Implicit Encoders
We empirically analyze two recently proposed encoder-free multimodal LLMs, Gemma-4 12B and Inkling-Small.ULIFLOW: Unified Latent Human-Object Interaction Flow
Text-conditioned 3D human--object interaction (HOI) generation remains challenging because individually plausible human and object motions do not necessarily form a coherent interaction.CRISP: Progressive Illumination Curriculum for Recurrent Low-Light Video Enhancement with Semantic Priors
Low-light video enhancement requires the recovery of brightness, color, and fine spatial structures while preserving temporal coherence in the presence of noise and motion.EGGHead: Efficient Generalizable Gaussian Heads from a Single Image
Creating photorealistic human heads typically involves trade-offs between representation power, efficiency, and generalizability.Beckmann World Models: Direct Terminal-Map Learning for One-Step Action-Conditioned Prediction
Action-conditioned world models support planning and policy evaluation by predicting future states.RoPE-Flow: Monocular Vision-based Robot Pose Estimation via 2D Graph-Conditioned 3D Flow Matching
Camera-to-robot pose estimation from a monocular image is significant for vision-based robot navigation and control.SIEVE: Overcoming Topological Obstruction in Equivariant Self-Supervised Learning
We identify a theoretical incompatibility between 3D point cloud masked autoencoding and SE(3)-equivariant networks.RoboCloth: A Large-Scale Real Cloth Material Dataset for Neural Reflectance Reconstruction
We present RoboCloth, a dataset of 500 real cloth materials captured under flexible, calibrated camera and lighting configurations, where both are robotically controlled during acquisition.Can World and Action Modeling Benefit Each Other under Unified Causal Training?
World and action modeling are closely related, yet their reciprocal benefits under unified causal training remain unclear.