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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 214
A Benchmark for Spatially Grounded Gesture Generation
Communication in shared space interweaves verbal and non-verbal signals, and pointing gestures anchor language to the environment: "put the cup on that one" is uninterpretable without the gesture…In-Distribution Forcing for Long Video Generation at Test Time
Modern autoregressive (AR) video diffusion models excel at short-horizon video generation, yet generating long videos remains challenging due to drifting, where colors and textures shift, and motion…Foresight: planning future perception in streaming VLMs without retraining
Existing streaming vision-language models (VLMs) continuously perceive and reason over visual streams, but their computational pathways remain fixed throughout inference.Behavior Pack Optimization for Video MLLM Post-Training
Video multimodal large language models (MLLMs) keep climbing video question answering benchmarks, yet shuffling the frames, masking the segment that supports the answer, or occluding the target…CalCErt: Bin-wise Certification of Confidence Calibration in Medical Image Classification
Deep neural networks remain vulnerable to adversarial perturbations, which can distort not only predictions but also confidence scores, undermining uncertainty calibration.Does Physics Live in the Activations? Localizing Physical Quantities in Video Diffusion Models
Video generation models produce strikingly realistic sequences and are increasingly proposed as world models, yet recent benchmarks reveal pronounced deficits in their physical reasoning.Budgeted-GS: Real-Time Large-Scale Gaussian Splatting via Factoring LOD
3D Gaussian Splatting achieves excellent visual quality with real-time rendering, but at the scale of entire cities it does not fit: a trained model carries millions of primitives and gigabytes of…Geometry-Aligned Semantic Matching for Cross-Modal Planar Image Registration
Cross-modal image matching establishes stable and accurate geometric correspondences across modalities for planar registration.Lightweight and Resource-Efficient Perception for Robotic Guide Dogs
Robotic guide dogs should understand their surroundings, objects, and potential risks.PocketSplat: Mobile Gaussian Reconstruction via World-Space Latent Allocatio
Mobile Gaussian reconstruction must satisfy two requirements: the reconstruction model must execute within a device resource envelope, and the resulting Gaussian asset must expose a representation…Bridging Research and Practice: A Systematic Evaluation of Generalist and Dermatology-Specific Models in Clinical Skin Lesion Classification
The application of machine learning to dermatology has grown substantially in recent years, moving beyond proof-of-concept studies toward potential applications.Contextual Flow Matching: Adaptive Step Selection in Flow Models for Efficient Visual Generation
Flow Matching enables high-quality visual generation via continuous-time dynamics, but inference remains costly due to multiple sequential function evaluations.VisionMX: Unlocking Microscaling Post-Training Quantization for Vision Models
Microscaling (MX) formats are emerging as a hardware-supported approach to efficient training and inference.Evolving Hybrid Quantum-Classical Architectures for Image Classification
Hybrid quantum classical neural networks integrate parameterized quantum circuits (PQCs) with established deep learning architectures, but their performance depends strongly on the choice of quantum…VDOT++: Unified Few-Step Video Generation via Unbalanced Optimal Transport Distillation
Video creation spans text-to-video (T2V), image-to-video (I2V), and condition-based generation, yet video diffusion models remain costly because they repeatedly evaluate large backbones during…Uncertainty as a Proxy for Semantic Correctness in Diffusion-Based Medical Image Synthesis
Diffusion models can synthesise contrast-enhanced CT (CECT) from non-contrast CT (NCCT), avoiding contrast administration and its environmental and patient-access costs.EmbPASS: Towards Cross-Embodiment Open Panoramic Segmentation
Panoramic images provide a complete 360-degree field of view, enabling comprehensive scene understanding for embodied perception.COSMI: COmpositional Synthesis of Multi-object Interactions
Generative models of human-object interaction are bounded by the data that exists: everyday activities involve several objects, but most captured datasets record one at a time, as multi-object…Consecutive Posterior Fusion for Diffusive Recovery of Unobservable Image Structures
Solving severely ill-posed imaging inverse problems requires recovering image structures that are unobservable or weakly constrained by the measurements.Moving Forward with Video Saliency: A New Dataset and Benchmark where Motion Matters
Video saliency prediction is inherently harder to model than static image saliency due to the additional temporal dimension.