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Computer Vision
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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 183
Controllable Crowd Generation through World-Model Planning
Crowd simulation plays a central role in robot navigation, autonomous driving, and urban planning.InscriptionOCR: A Dataset and Method for Understanding Inscriptions
Ancient script image restoration is a fundamental problem in computer vision, as it directly affects the reliable analysis and interpretation of historical documents and inscriptions.Mixture of Layers: Dynamic Layer Routing for Visual Reasoning
Pre-trained vision encoders contain layer-wise visual representations that differ in spatial granularity, semantic abstraction, and sensitivity to local details.TIRA: Tumor Immune Representation Adaptation for Zero-Shot Cross-Cancer MSI and TMB Prediction
Microsatellite instability-high (MSI-H) and high tumor mutational burden (TMB-H) are clinically relevant biomarkers, yet their histopathological prediction remains challenging when models are…LighTROcc: Lightweight 4D Occupancy Forecasting via Instance-Centric 3D Gaussians
Forecasting future 3D occupancy from surround-view cameras is essential for autonomous driving, yet existing approaches rely on dense voxel or bird's-eye-view representations whose cost grows…From Global Alignment to Local Grounding: Zero-Shot Chinese Character Recognition with Radical Verification
Zero-shot Chinese character recognition (ZS-CCR) aims to recognize characters whose categories are never observed during training, and typically relies on the compositional structure shared between…Iris-3B: Going Beyond the Latent with Pixel-Space Diffusion Training, Conversion and Fine-Tuning
Pixel-space diffusion models avoid the lossy VAE of latent models, which suggests an advantage on downstream tasks where fine-grained detail matters.RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot Learning
Recently, approaches that leverage human video datasets for robot policy training have become increasingly prevalent.An Invariant Tangent-Angle Descriptor and a Band U-Net for 2D Fragment Adjacency Prediction
This paper addresses the prediction of adjacency between pairs of 2D fragments based on their contours.InstanceBench: Diagnosing Referential Reasoning and Target Identity in Referring Expression Segmentation
Referring Expression Segmentation (RES) links natural-language descriptions to pixel-level object masks.Gaussian Material Fields for Volumetric Multi-Energy CT Decomposition
Volumetric material decomposition in multi-energy computed tomography requires a representation that organizes multiple three-dimensional material fields in a common spatial domain while retaining…SpatialUQ: Post-Hoc Uncertainty Quantification from Spatial Consistency in Black-Box Vision Models
Clinical vision models are often deployed as frozen black boxes with no access to internals, retraining, or ground truth at inference time.RT-DETR-World: Transferring Rich LLM Semantics to Real-Time Open-Vocabulary Detection
Open-vocabulary detection (OVD) recognizes categories unseen during training through textual category queries, yet achieving strong generalization with real-time efficiency remains challenging.TERRA: Learning Transportable Latent Actions through Temporal Effect Representation and Relational Alignment
Latent actions supervise robot policies with action-like codes inferred from visual transitions, and their usefulness hinges on two questions: what a code keeps from a transition, and whether it…LiG-DETR: Local-in-Global Reassembly in Latent Space for Aerial Object Detection
Aerial object detection faces substantial scale and density variations.OmniCam: Omni-Camera Trajectory Generation via Geometry-Grounded Pose Token Learning
Camera trajectories control viewpoint changes in video generation, scene reconstruction, and robotic perception.STRIKE: Learning Visual State Transitions for Physical World Modeling
Physical world modeling requires predicting how interactions change a scene, not merely generating coherent motion.It Is Not Seeing the Hazard: A Frozen Vision-Language Safety Score Measures Its Caption Bank
Frozen vision-language models increasingly provide safety signals for reinforcement learning.ActiveLang: Active Open-Vocabulary 3D Mapping with Semantic-Uncertainty-Guided Exploration
As robots increasingly assist humans with diverse tasks, they need both geometric and semantic understanding of their surroundings.KASALv2: Fully Automatic 3D Rotational Symmetry Classification and Axis Localization
Rotational symmetry is an important prior in 6D pose estimation, improving pose accuracy and supporting symmetry-aware evaluation.