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 160
ToF-Wheel Odometry: Navigating Degeneration of Localization With Limited Sensing Capabilities
Wheel odometry provides an efficient motion prior for ground robots but is prone to transient violations such as wheel slip or terrain-induced tilt.Bidirectional Adaptive Transformers for Multimodal Anomaly Detection
The effective integration of features derived from RGB images and 3D point clouds presents a substantial challenge in the field of multimodal anomaly detection (MAD).EviScene: Beyond "Is It AI?" for Agentic Image Factuality Assessment
Determining whether an image is AI-generated does not establish whether the situation it depicts is factually supported.EarthAlign: Learning Language-Aligned Representations of Earth System Data
Interpreting Earth system conditions is central to understanding environmental risks and informing decisions across weather- and climate-sensitive sectors.DuSRFlow: Dual-Lens Super-Resolution via Parallax-Aware Flow Estimation and Complementary Reference Warping
Dual-lens super-resolution (DuSR) aims to enhance a wide-angle low-resolution (LR) image by exploiting a telephoto reference (Ref) image.Automatic assembly modeling through attention-based assembly feature mate prediction and assembly feature pattern recognition
Assembly modeling plays an important role in constructing product models, yet it is still mainly performed via interactive operations that are experience-dependent and labor-intensive.PVFH-Bench: Benchmarking Premise-Induced Visual Fixation Hallucinations in Vision-Language Models
Large Vision-Language Models (LVLMs) have achieved remarkable progress across a wide range of multimodal tasks.Can Synthetic UAV Benchmarks Be Trusted? Real-Synthetic Validation for UAV Model Selection
Synthetic UAV imagery can expand pre-deployment test evidence when task-specific Real data are scarce, but visual plausibility or semantic label alignment alone does not establish validity for model…TAG: Calibrating SAM3 for Universal Image Segmentation without Dense Supervision
The recent Segment Anything Model 3 (SAM3) extends powerful promptable segmentation from spatial cues to concepts, raising the prospect of a single foundation model for universal image segmentation.Prospective Forcing: Learning to Look Ahead for Autoregressive Long Video Diffusion
Autoregressive video generators synthesize long videos through chunk-wise rollouts, yet they are typically trained to predict only the immediate future.TGuide: Faster Autoregressive Video Diffusion via Historical Trajectory Guidance
Can autoregressive video diffusion be accelerated further when only four denoising steps remain?TETRIS-4DGS: Efficient Post-Training Compression of 4D Gaussian Splatting
4D Gaussian Splatting (4DGS) has emerged as a powerful dynamic scene representation, supporting real-time high quality rendering but suffers from prohibitive storage overhead.SPARE: Shared Perception and Adaptive Retrieval of Evidence for Streaming Video Understanding
Streaming video understanding requires answering questions from the observed video, with evidence drawn from recent observations or earlier events.Competition Domains Matter: Selective Head Globalization for Training-Free Sparse Attention in Video Diffusion Transformers
Training-free sparse attention is a practical route to efficient video diffusion transformer inference, yet existing methods typically fix the competition domain at each query row for every…CAST-ASD: Causal Attention over Speakers and Time for Online Active Speaker Detection
We present CAST-ASD (Causal Attention over Speakers and Time), a causal joint model for active speaker detection (ASD).HumanPhys: A Human-Centric Physical-World Perception Benchmark for Real-World Visual Reasoning
We introduce HumanPhys, a human-centric benchmark for real-world physical perception, and a training corpus emitted by the same pipeline.A Hybrid Kinematic GCN and Elastic Transformer for Efficient Indian Sign Language Recognition
Sign Language Recognition (SLR) presents complex challenges due to variable signing speeds and spatial intricacies.Demiurge: Forging Navigable 4D Worlds via Autoregressive Video Rerendering
Recent advances in video diffusion enable novel-view video synthesis from a single input video, supporting world modeling, embodied intelligence, and robotic simulation.PURE: Refining Feed-forward 3D Reconstruction with Unlabeled Post-training
Feed-forward 3D reconstruction models have achieved remarkable progress through large-scale training and strong learned priors.How to Build a Benchmark That Actually Measures Taste
Expert-aligned "taste" benchmarks should reward craft judgment, not the ability to game the test.