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 36
Toward Counterfactual Learning for Selective Re-Examination in Agentic Visual Search
Visual search over high-resolution images requires a vision-language model (VLM) not only to determine where to inspect, but also whether another observation is warranted before committing to an…Wave Forcing: Towards Speed-of-Light Streaming Video Generation
Real-time long-video generation requires continuous output with consistent appearance and natural motion.Learning to Group and Order: Cross-Instance Self-Supervised RL for Vision-Centric MLLMs
Reinforcement learning (RL) post-training has become an important paradigm for improving multimodal large language models (MLLMs), especially with automatically verifiable rewards.FilmTogether: Cinematic Video Generation from Low-Cost Inputs
The widespread adoption of mobile devices has democratized video recording, but a stark aesthetic divide persists between casual, low-cost captures and high-cost cinematic productions.ZOPGA-KD: Zeroth Order PGA Guided Data Free Knowledge Distillation
Knowledge distillation (KD) enables the transfer of learned representations from a large teacher network to a small student network.UI-UG 2: Advancing Mobile UI Understanding and Generation with Fine-Grained Supervision and Reinforcement Learning
Mobile UI understanding and generation require both fine-grained component perception and reliable structured synthesis.What Helps Denoising Can Hurt Memory: Rethinking History in Long Video Generation
Autoregressive video generators produce long videos block by block, using historical context to maintain temporal consistency.PSF-Informed Reconstruction: An Enhanced 2D Directional Filtered Backprojection Method for Cone-Beam Rotary Computed Laminography
Cone-beam rotary computed laminography (CL) presents a viable alternative to cone-beam CT for imaging objects with high aspect ratios.4K Image Super-Resolution on Mobile NPUs: Mobile AI 2026 Challenge Report
Image super-resolution is widely used on mobile devices for upscaling various types of image data.Efficient Image Denoising on Smartphone GPUs: Mobile AI 2026 Challenge Report
Image denoising is a fundamental problem in mobile photography.Robust Pixel-wise Digital Image Correlation under Large Motions and Illumination Variations via a Global-to-Local Hybrid Neural Field
Digital image correlation (DIC) is a widely used non-contact technique for full-field displacement measurement.Adaptive Land Units from Earth Embeddings
Modeling land use starts with a choice of spatial units, typically a regular grid of pixels whose resolution is set by the spatial detail the process requires and, often more critically, by the…Grounding Across Views: Cross-View Referring Reasoning for Visual Grounding
Cross-view object geo-localization (CVOGL) aims to localize a target in a satellite image from an observation captured under another viewpoint.CuPH: Parallel Cubical Persistent Homology via Level-Synchronous Component Tracking
Persistent homology (PH) is a mathematically principled multi-scale topological descriptor of shape and connectivity in data.QVR3D: Query-Guided Visual Reasoning for Training-Free 3D Grounding
3D visual grounding localizes objects in 3D scenes from natural language descriptions, requiring reasoning over semantics, spatial relationships, and multi-view observations.Pop Goes the Verifier: Phoneme-Targeted Data Poisoning of Voice Liveness Detection
Many Automated Speaker Verification Systems (ASVs) commonly employ liveliness detection techniques, such as VoicePop, which identify genuine speech by analyzing low- frequency pop bursts from…StreamDuo: A Live Commentator and a Research Agent for Unseen Games
Streaming video LLMs can now commentate live gameplay, but they are trained and tested on the same games.What Does a Safety Label Measure? Auditing Situational-Safety Benchmarks for Multimodal LLMs
Situational-safety benchmarks label each scene SAFE or UNSAFE and score a multimodal large language model (MLLM) against that label, usually by judging its free-form answer, and these scores guide…GESTALT: Fast, Generalizable Histopathology Image Synthesis from Gene Expression with Pretrained Pathology Foundation Models
Spatial transcriptomics measures gene expression while preserving where each cell sits in the tissue.SHield: Watermarking 4D Gaussian Splatting via Spherical Harmonic Coefficient Perturbation
4D Gaussian Splatting (4DGS) models are computationally expensive to train but distributed as easily copied parameter files.