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: 4,996 arXiv preprints and 4 OpenAlex records.
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Newest papers, page 250
Point2Part: Unified 3D Partitioning from Point Prompts
Existing 3D part decomposition methods do not necessarily partition the original shape into non-overlapping parts that collectively cover the entire shape, allowing overlaps or gaps that hinder…Raw Imagery Impacting Your AI: Should You Care?
Onboard AI is gaining interest for space applications such as vessel, wildfire, and cloud detection, where real-time processing can improve mission reactivity and reduce downlink needs.Evaluating Multi-Task Morphological Concept Learning for Pulmonary Nodule Malignancy Assessment in 3D CT
Morphological characteristics such as spiculation and lobulation play an important role in assessing pulmonary nodules on computed tomography (CT), particularly in relation to malignancy risk.Masked Swingers: Harnessing Data Augmentation to Advance Autoencoders for Self-Supervised Learning
Self-supervised learning (SSL) removes the need for annotations and makes models that are capable across more domains than supervised learning.GaugeVLM: Structuring Spatial Supervision with Measured Geometric Interventions
Vision-language models (VLMs) can contradict themselves across views of the same spatial relation and fail to respond when that relation changes.It Takes Little to Rewrite Perception: Targeted Semantic Substitution in Vision-Language Models at $ε\leq 4/255$
Vision Language Models (VLMs) are widely deployed in safety-critical scenarios, and understanding to which extent they can be controlled by adversarial perturbation is a prerequisite for evaluating…Strike a Chord! Modal Kinetic Typography
We introduce modal kinetic typography, which animates a vector glyph to express a semantic concept while keeping it legible.ExploreNet: Learning Where to Explore in Diffusion GRPO
Group-relative RL methods such as Flow-GRPO post-train image generators by exploring with isotropic Gaussian noise added at every denoising step.Learning Semantic Inpainting for Animatable Gaussian Head Avatars
We present SInGA, a novel method for learning Semantic Inpainting for animatable Gaussian head Avatars from a single image.TrackFish3D: Self-Supervised 3D Tracking of Schooling Fish from Multi-view Videos
Quantifying collective fish behavior requires accurate trajectories, yet multi-view 3D tracking remains challenging due to frequent occlusions, visually similar individuals, and the long-standing…Inductive Visual Logic for Few-Shot Out-Of-Distribution Adaptation in VLMs
Generative vision-language models (VLMs) such as Qwen-VL and LLaVA achieve strong zero-shot performance on tasks overlapping with their pretraining distribution, yet fail on specialized domains…Composition, Not Conversation: VLMs Lose the Scene, Not the Thread
Vision-language models (VLMs) increasingly reason over visual evidence that is cropped, segmented, retrieved, or revealed over time.PhyProbe: Rethinking Physical Consistency Evaluation in Generated Videos
Evaluating the physical consistency of generated videos remains a fundamental challenge.Team MSU GenText-Forensics Challenge 2026 Technical Report
Document text forgery has evolved beyond simple pixel-level manipulation: modern attacks alter not only the appearance of a document but also its meaning, and increasingly target the OCR & LLM…VidHarness: Evolving Agent Harnesses for Cost-Efficient Long Video Understanding
Vision-language models (VLMs) can answer questions about hour-long videos, but processing every frame is prohibitively expensive, even though the evidence for a question usually spans only a few…Colorectal Cancer Segmentation with Adaptive Augmentation and Multi-Resolution Ensemble Models
Colorectal cancer (CRC) is the second most deadly and third most common cancer, and the leading cause of death among gastrointestinal cancers.LoopVL: Recurrent Visual Intelligence
We introduce LoopVL to study whether Loop Transformers can be effectively extended to vision- language models.MOBA-VL: Event-Localized Multi-Turn Reinforcement Learning for Real-Time MOBA Commentary
Real-time commentary for Multiplayer Online Battle Arena (MOBA) esports requires a vision-language model (VLM) to narrate a live match second by second, both fluently and accurately.BIND: Binding 3D Robot Actions to 2D Image Features
We introduce BIND, a new action representation for visuomotor robot policies that binds 3D robot actions to their corresponding 2D image features, yielding strong data efficiency gains and…Audible World Models: Spatially Aware Sound Generation for 3D Worlds
Text- and image-conditioned world generators can create visually rich 3D environments, yet these worlds often remain silent or rely on soundtracks synthesized solely from text or rendered video.