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 125
Loud and Clear: Making Visual Evidence Count in Multimodal Document RAG
Multimodal document retrieval-augmented generation (RAG) has focused largely on retrieval, yet its answers depend on how well a vision-language model reads the retrieved pages.ZoomCap: Evidence-Routed Visual Zooming for Recoverable Visual Information Transfer
Detailed captions transfer visual information into vision-language model supervision, but quality is easily conflated with length: long single-pass outputs still miss small objects, text, and…CoViG: Coarsened Vision GNN for Image Classification
Although Graph Neural Networks are widely used in various domains, they remained mostly unexplored in computer vision.AdaLoop: Thinking with the Vision Encoder
Most vision-language models (VLMs) treat the vision encoder as a static feature extractor: it encodes an image once, independently of the question, and leaves subsequent reasoning to the language…CertEx: Exact Visual Retrieval at Scale by Certified Exclusion
Exact $k$-nearest-neighbor (kNN) search over image descriptors and embeddings underlies visual retrieval, near-duplicate detection, the evaluation of learned representations, and increasingly the…DocPilot: Interactive Agent Orchestration and Training for Long Visual Document Understanding
Multimodal long-document question answering requires models to seek sparse evidence across pages and modalities, understand heterogeneous document content, and reason over the collected evidence.Semantic Latent Alignment for Flow Matching with Invertible Bi-Lipschitz Adapters
Pretrained latent spaces trade compression, reconstruction, and the learnability of the coordinates a downstream generator has to work in, which complicates adapting these spaces to different…When Should a Low-Light Pipeline Generate? Auditable Risk Control for Selective Generative Enhancement
Generative low-light enhancers recover plausible texture but may hallucinate structure; restoration networks preserve structure but can leave regions under-enhanced, and neither advantage is…L2GSSL: Label-Efficient Local-to-Global Self-Supervised Learning for Volumetric Healthcare Data
Healthcare institutions routinely accumulate high-dimensional computed tomography (CT) volumes, but only a fraction can be annotated by experts.CoDeFont: One-Shot Font Generation via Multi-Scale Factor-Specific Representation Learning
One-shot Font Generation (OFG) aims to synthesize a target glyph by transferring the stylistic characteristics of a single reference glyph while preserving the structure of the target character.SATOR: Backpropagation-Free 3D Test-Time Adaptation via Sample-Adaptive Token Routing
Test-time adaptation (TTA) mitigates the performance degradation of source-pretrained models on unlabeled test data under distribution shifts.Perception or Reasoning? Diagnosing and Tackling Reinforcement Learning Bottlenecks in VLMs
Reinforcement learning has brought strong gains to language model reasoning, but its improvements on visual tasks remain less consistent.CLAD: Keypoint Matching Using Global Line Correspondences
Traditional keypoint descriptors, such as SIFT (Scale-Invariant Feature Transform) and ORB (Oriented FAST and Rotated BRIEF), are computed from local image patches.Where, How, and When: Query-Guided Grounding for Video Understanding
Understanding video content requires reasoning at multiple levels of granularity, from identifying objects to interpreting their interactions and localizing when specific actions occur.ManiFusion: Unlocking the High-Throughput Generation via Superposition in Manifold Space
Diffusion models achieve high-quality image generation but remain computationally expensive due to iterative denoising across many timesteps.RLDF: A Region-Level Deepfake Dataset and Benchmark for Partial-Face Manipulation Detection
Existing deepfake detection models are built upon manipu- lated images that are tampered with either exclusively fully swapped or fully synthesised faces, which leads us to an open question: Can…X-Fly: Learning to Reach and Stop in Full-Chunk Aerial Vision-Language Navigation
Aerial vision-language navigation (VLN) agents built on large vision-language models are expensive to query.PET Quantification-Preserving Registration for Longitudinal Whole-Body PSMA PET/CT
We adapt the diffeomorphic coarse-to-fine LapIRN architecture for longitudinal whole-body PSMA PET/CT registration in the Learn2Reg 2026 PSMAReg challenge.Full-Duplex Interaction with Speech, Expressions and Gestures
Human face-to-face conversation requires coordinating speech, gestures and expressions across both speaking and listening.CarryOn: A Dual-Loop Harness for Personalized and Reliable Robot Assistance
While generalist vision-language-action (VLA) models have enabled diverse open-world manipulation, real-world robotic assistance requires two critical capabilities they currently lack…