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.
Get the few papers worth your time in Computer Vision every morning.
Follow Computer Vision and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 242
Prior-Driven Enhancements in 3D Gaussian Splatting: Normals and Depths Regularization
3D Gaussian Splatting (3DGS) is a state-of-the-art technique for 3D scene rendering, offering high efficiency and excellent visual quality.Structured Visual Target Learning For Cross-Subject eeg-to-image retrieval
Cross-subject EEG-to-image retrieval requires a neural represen- tation trained on source subjects to remain aligned with a visual embedding space for an unseen subject.A Dual-Track Curation-and-Classification Framework for Resolving Ground-Truth Label Noise in Operational Sentinel-2 Wheat Area Estimation
Operational estimation of wheat-cultivated area is persistently constrained by discordance between administrative record-keeping and remotely sensed classification products.UltraMatch: Transport Path Routing for Ultra-Fast and Memory-Efficient Image Matching
Despite recent advances in accuracy and efficiency, coarse matching remains an indispensable yet costly stage in existing semi-dense matchers due to dense token-level matching.Salt++: Context-Aligned Post-Training for Few-Step Streaming Multimodal Generation
Few-step streaming audio--video generation requires both causal modeling and step distillation, yet standard training recipes face two context-related challenges.Parameterized Stripe Attention for Efficient Video Generation
Diffusion Transformers (DiTs) enable high-quality video generation but suffer from substantial inference latency, primarily attributable to the computationally expensive full spatio-temporal…Visual Parallel Search: Learning to Search High-Resolution Images with Parallel Tile Inspection and Adaptive Zoom
High-resolution visual question answering often fails because a multimodal model does not acquire the small, spatially localized evidence needed to answer a question.VesselBench-800K: A Large-scale Perception Benchmark for Multimodal Vessel Detection, Counting, and Density Estimation
Vessel perception from space is crucial for a wide range of maritime applications, from traffic monitoring to environmental protection.World2Motion: Turning Video World Models into 3D Human Motion Generators
We present World2Motion, a framework that generates scene-aware 3D human motion and corresponding video from a single image and a text prompt.Embedded Bi-Temporal Building Damage Assessment for On-Board Data Reduction
Rapid assessment of building damage after natural disasters is essential to support emergency response.RBF-GNN: Rational Basis Functions for Pseudo-Coordinate based Graph Convolutions
We propose RBF-GNN, a new pseudo-coordinate based graph neural network architecture that takes into account Euclidean, spherical or angular coordinates and uses them to induce a powerful spatial…Back2Struct: Making Structured Images Editable Again
Structured images, such as diagrams, charts, and flowcharts, are inherently symbolic and can be compactly represented in an editable format, yet in practice, they are often rendered as images, and…MotionInsight: Diagnosing Object Motion Deficiencies in Generated Videos
Despite rapid progress in video generation models, they still exhibit obvious motion deficiencies, often manifested as incorrect object motion.UniBuild: Unified Building Mapping From Multi-Source Optical Remote Sensing Imagery With Detail Decoding and Geometry Regularization
Building extraction from optical remote sensing (RS) imagery is fundamental to urban mapping, yet existing methods are often dataset-specific and generalize poorly to unseen domains.NowcastDiT: Diffusion Transformers are Effective Precipitation Nowcasters
Precipitation nowcasting demands accurate short-term forecasts under strong spatiotemporal variability.GleanVID: Complementary Token Selection for Efficient Video Large Language Models
Video Large Language Models (VideoLLMs) have achieved strong video understanding capabilities but incur substantial inference overhead due to the large number of visual tokens.Speed in the Blind Spot: An Interpretability Analysis of Dynamic Perception in VLMs for Autonomous Driving
Vision-Language Models are increasingly used in autonomous-driving systems, yet their ability to recover dynamic physical state from visual input remains insufficiently characterized.Multi-Depth Temporal Fusion for Feedforward, Locally Trained Spiking Neural Networks
We propose a new spiking neural network (SNN) design to process static images and event streams using time-to-first-spike (TTFS) latencies.NHO: A Neural Hamiltonian Operator for Anchor-based Region Localization and Dense Correspondence
Non-rigid partial-to-full shape correspondence from sparse anchors requires identifying the corresponding region on the full surface and recovering dense correspondences between the partial shape…OmniRoute: Mapping Temporal Semantic Evidence to Audio-Visual Token Budgets for Efficient Omnimodal Large Language Models
Omnimodal large language models (Omni-LLMs) encode audio and visual streams into temporally interleaved token sequences for multimodal reasoning.