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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: 4,999 arXiv preprints and 1 OpenAlex record.
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Newest papers, page 44
Telling Is Not Seeing: Textual Personas Rarely Make Vision-Language Models Answer Like the People They Describe
Vision-language models (VLMs) are increasingly prompted with personas, such as "You have low vision", to stand in for people in user studies.PicturePerfect: Diffusion-based Same-identity Facial Replacement
With the growing success of diffusion models in computer vision, we explore their potential for same-identity facial replacement in photographs.Semantic Mismapping in Generalized Category Discovery: Evaluation and Mitigation
Generalized Category Discovery (GCD) aims to perform old-category recognition and novel-category discovery in the same unlabeled set.CASE: Concept-Aware Segmentation from Positive and Negative Visual Exemplars
Few-shot semantic segmentation typically identifies target objects based on positive support examples of a single semantic class.ACD-GS: Asymmetric Curvature-aware Densification for 3D Gaussian Splatting
3D Gaussian Splatting (3DGS) has emerged as a powerful paradigm for real-time photorealistic novel view synthesis.SymKL: A Unified Representation-Space Measure of Signal Degradation
Quantifying degradation between a pristine signal and its degraded observation is fundamental to signal processing, yet existing full-reference measures are inherently modality-specific.YOLOF-MLD: A Multi-Level Distillation Framework for Efficient Object Detection
Efficient object detection on resource-constrained edge devices is essential for safety-critical applications such as fire-smoke monitoring.Anatomical Prior-Guided Routing for 3D Lung Tumor Segmentation
Accurate lung tumor segmentation in computed tomography (CT) is essential for treatment planning, response assessment, and quantitative imaging analysis.Decoding Geometry, Not Tokens: Efficient VLMs for Robot Affordance and Trajectory Prediction
Predicting where to grasp and how to move is fundamentally a geometry problem.Diagnosing the Reference Gap: What Visual Scaffolds Can and Cannot Fix in Multimodal Reasoning
Multimodal large language models can recognize visual content yet struggle to reason reliably over it across multiple steps.FDSML: Formula-Driven Supervised Metric Learning with Parameter-Aware Triplet Loss
Formula-Driven Supervised Learning (FDSL) enables vision pre-training without real images, but existing methods cast pre-training as classification on discretized labels, discarding continuity in…PathCowork: Learning from real-world pathology practice to build AI copilots
Medical AI learns from the answers doctors record, but rarely from how they interpret the evidence to reach them.Calibrating Attention-Based Token Pruning for Efficient Multi-Image Synthesis in UMMs
Unified Multimodal Models (UMMs) enable powerful multi-image synthesis but incur substantial computation from long visual contexts.Regional Anchor Routing for Multi-Object Motion Transfer
Compositional motion transfer requires a model to extract motions from multiple reference videos, and apply each motion to a user-specified object in one target scene.Does Federated Training Degrade Explainability? A Comparative Analysis of Grad-CAM Faithfulness in Centralized vs. Federated Deepfake Detection
Automated detection has become the essential safeguard against realistic synthetic media, but deploying it at scale requires training on sensitive data from multiple organizations, putting privacy…Agent-Wise Test-Time Normalization for Camera-Based Cooperative Perception with Corrupted Collaborators
Intermediate-fusion cooperative perception lets a vehicle detect objects beyond its own field of view by fusing features shared by nearby agents.Robust LIDAR Sensor-to-Sensor Domain Generalization via Accumulated-Point Scene Completion
We study domain generalization for LIDAR semantic segmentation.FFAI: Flow Matching with Feedback Training and Adaptive Initialization for CT Reconstruction
Although low-dose, sparse-view, and limited-angle CT involve distinct degradation mechanisms, all three pose reconstruction challenges due to limited measurement information and can therefore be…BRIDGE: Learning Brain-Gut Metabolic Evidence for Alzheimer's Disease Diagnosis
Alzheimer's disease (AD) diagnosis may benefit from gut metabolic information associated with brain-gut interactions, yet existing models largely analyze cerebral glucose metabolism alone.MorphSIG: Subject-Driven Image Generation via Decoupled Anchoring and Feature Transport
We propose MorphSIG, a training-free framework that reformulates subject-driven image generation (SIG) as pseudo-video feature transport.