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 247
Selective Channel Restoration for Backdoored Vision-Language Models
Vision-language models (VLMs) exhibit strong multimodal capabilities but remain vulnerable to backdoors implanted through poisoned fine-tuning data.HiRAE: Hierarchical Representation Autoencoding with Residual Budgets
Pretrained visual representations support image generation, but may not fully preserve the fine-grained details needed for faithful reconstruction.A Benchmark & Dataset for Detecting AI-Manipulated Visual Evidence in the Court System
Photographic evidence is becoming increasingly vulnerable to forms of alteration and fabrication that existing legal and technical workflows are not well equipped to evaluate.Planetary Feature Fields are Scalable Earth Representations
Satellite observations, precomputed embeddings, and map products describe the same evolving Earth, yet are stored as independent, petabyte-scale data products.CHOQOLATE: Organizing Concept Bottleneck Latent Spaces with Choquet Integrals
Concept Bottleneck Models (CBMs) built on vision-language models such as CLIP represent a latent space as human-understandable concepts.ByteTraX: Enhancing the ByteTrack Architecture with Optimised Thresholding
The ByteTrack algorithm is a widely used and computationally efficient multi-object tracking architecture.Pixel-Level Transformers in Remote Sensing: A Canopy Height Case Study
Predicting canopy height from medium-resolution satellite imagery is a common and scalable approach for assessing the condition of the world's forests, which play a crucial role in climate change…WINGS: Reference-Free Gaussian Splatting Inpainting with 3D-Native Generative Priors
Inpainting 3D Gaussian Splatting scenes, a key challenge in 3D editing, requires generating plausible content within a masked region of 3D space.Minkowski Attractor Networks: Closed-Form Hyperbolic Flows for Visual Representations
Geometric representation learning predominantly scaffolds representations onto flat Euclidean subspaces or compact product tori ($\mathbb{T}^K$).ReCaVSR: One-Step Streaming Diffusion Video Super-Resolution with Recycled Latents and Learned Cache Routing
Real-time diffusion-based video super-resolution (VSR) is in high demand for online streaming, yet stringent latency requirements often compromise generative fidelity.Evaluation Choices Shape Biomedical ML Claims: A Pediatric Pneumonia Benchmark Case Study
Biomedical machine learning papers often compress model performance into one headline number.RelayVSR: Large-Small Model Collaboration for Efficient Real-World Video Super-Resolution
Large generative models can recover realistic detail in real-world video super-resolution (VSR), but processing an entire video with them is computationally expensive.FlowMap-OPD: Rollout--Kernel Separation for On-Policy Distillation of Few-Step Flow-Map Generators
Few-step flow-map generators, including MeanFlow and consistency models, enable efficient sampling through long-range transport, yet their on-policy distillation remains underexplored.HandAnthro: Automated Hand Anthropometry from a Single Image
Hand anthropometry supports protective-glove design, but existing measurement methods often require trained operators, specialized hardware, or manual landmarking.It's Not What the Image Shows: Irrelevant Context Destabilises VLM Judges Without Informing Them
Vision-language models (VLMs) are increasingly used in place of human annotators, making it important that substitutability tests reflect the model rather than incidental evaluation conditions.Learning from synthetic photorealistic raindrop for single image raindrop removal
Raindrops adhered to camera lens or windshield are inevitable in rainy scenes and can become an issue for many computer vision systems such as autonomous driving.EndoPrior-GS: Dynamic Endoscopic Reconstruction with a Joint Texture Prior
Dynamic endoscopic reconstruction is fundamental to robotic surgery and computer-assisted interventions.Visual Branch is What You Need for CLIP-based Class-Incremental Learning
Class-Incremental Learning (CIL) requires models to recognize new classes over time without forgetting previously learned ones.ReCAP: Retrieval-Guided Capability Reuse for Multimodal Continual Instruction Tuning
Multimodal continual instruction tuning (MCIT) aims to enable multimodal large language models to acquire new capabilities from sequential tasks while preserving previously learned knowledge.Pixels to Keys: Exploring Spatial and Motion Cues in Gameplay Inverse Dynamics
Video games offer scalable environments for studying perception and control in embodied agents.