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 30
MoPort: A View-Aware 2D Interface for Motion Language Models
Motion language models (MoLMs) encode 3D human motion as discrete tokens for language-based understanding.GSExplorer: Interactive World Generation with a Persistent 3D Gaussian World State
Interactive world generation requires both accurate local control and stable scene consistency over long rollouts.Band2Net: Frequency-to-Network Transport Distillation for fMRI-Privileged, EEG-Only Session-Condition Decoding
Functional MRI resolves large-scale brain networks but is expensive and stationary, whereas EEG is portable but poorly localised.Detecting Generated-Depth Injection Attacks on RGB-D Place Authentication
Advances in monocular depth estimation (MDE) now let an attacker generate depth from publicly available RGB images and submit forged RGB-D queries.TopoDPO: Dense Preference Alignment for Structure-Sensitive Aerial Referring Segmentation
Preference optimization for multimodal segmentation faces a granularity mismatch: dense masks contain spatially heterogeneous preference signals, whereas image-level objectives assign one shared…Text-Assisted Event Stream Visual Place Recognition via Multi-Scale Spatiotemporal Optimal Transport
Benefiting from the high dynamic range, high temporal resolution, and low energy consumption of event cameras, low-altitude economic research leveraging event cameras has become a popular topic.Spend the Bits Where the Tiny Objects Are: Rate-Utility Region Coding for Aerial Detection
Bandwidth-limited aerial cameras must compress their images before a remote detector can find the many tiny objects in them.Recoverability-Aware Evaluation of Diffusion Video Inpainting and Object Removal
Video inpainting for object removal is scored over the whole hole, although the background behind the object is visible in other frames of the shot for some hole pixels and in no frame for others.SCOUT: Planning under Occlusion via Object-Centric World Model Rollouts
Robots manipulating in cluttered spaces must often plan from partial views where foreground objects occlude the target, surrounding geometry, and usable free space.Accurate automated photo-identification of Near Eastern and European fire salamanders
Photo-identification underpins non-invasive capture-recapture monitoring of amphibians, but manual identification becomes slow and error-prone as reference libraries grow.MedNet and U$^2$-ViT: A Nested Vision Transformer Diffusion Framework for Diverse Medical Images Generation
The scarcity of diverse, high-quality medical images remains a significant bottleneck in advancing AI-driven medical diagnostics and treatment planning.NatureFusion: Rethinking Infrared and Visible Image Fusion as Natural Complementary Enhancement
In the absence of ground truth, most existing infrared and visible image fusion methods pursue fidelity to the source images and directly superimpose two physically distinct modalities.LLM-Enhanced Multimodal House Price Prediction using Structured, Textual, and Visual Features
Accurate house price prediction is essential for real estate buyers, sellers, agents, and financial institutions.Seeing What Matters, Verifying What Pays: Load-Adaptive Speculative Decoding for Vision-Language Models
Speculative decoding accelerates vision-language model (VLM) inference without altering the output distribution, yet two factors limit its gains.Special and General Computational Aesthetics
Computational aesthetics is a field at the intersection of computer science, artificial intelligence, aesthetics, and other disciplines.EgoMo3R: Joint Egocentric Motion and Scene Reconstruction
Understanding holistic 3D human motion and the surrounding environment from egocentric video is fundamental for applications in AR/VR and robotics.Zero-shot evaluation of open vision-language models as System 1 decision models on radiology tasks
We compared two multimodal System 1 decision models, Clef 27B and d1 3B, with a traditional LLM (Qwen 3.8-27B) on seven radiology tasks covering text, radiographs, CT and MRI.Benchmarking Vision-Language Models for Urdu Nastaliq Handwriting Recognition
Handwritten Urdu is hard to recognize because the cursive Nastaliq script has no fixed baseline and no clear character boundaries.UA-Depth: Uncertainty-Aware Depth Restoration for Material-Agnostic Object Manipulation
Robotic manipulation requires accurate metric depth, yet commodity RGB-D cameras often fail on non-Lambertian objects such as transparent, reflective, and translucent materials, producing holes…dKV Forcing: Separating Generation and Memory Representations through a Differentiable KV Cache
A causal video generator produces two key--value (KV) states for every segment: the KV it uses while denoising that segment, and the KV it writes into the cache for later segments to read.