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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 18
VISTA: Vision-Language Integrated Semantic Triage Architecture for Online Face Clustering in Long Videos
Clustering faces by identity in long, continuous video streams is a challenging task that serves as a building block for human-centric video analysis.Robustness Verification against Patch Attacks via Group-Lasso Semidefinite Relaxation
Robustness verification is essential for ensuring the safety and security of neural networks, but current methods focus heavily on norm-ball attacks, which do not adequately model typical real-world…HTNN-MSC: Multi-view Subspace Clustering with a Hyperbolic Tangent Tensor Low-Rank Surrogate
High-order dependencies among views can be modeled by tensor singular value decomposition (t-SVD) in multi-view subspace clustering.Learning Where to Look: Observation Policy Optimization for Thinking with Images
Complex visual question answering often requires vision-language models to think with images, i.e., actively acquire local visual evidence by zooming into informative regions of high-resolution…How Well Does Webcam Eye Tracking Work "in the Wild"? A Large-Scale Validation of Chiasm and a Comparison with WebGazer
Webcam eye tracking can greatly accelerate data collection in basic and applied research by reaching large, diverse samples of participants online.PATTS: Parallel-Aware Test-Time Scaling for Thought-Image Generation in Multimodal Discrete Diffusion LLMs
Test-time scaling (TTS) improves generative models by allocating additional inference-time computation to sampling, search, and verification.DPAGait: Dynamic Pose-Knowledge-Aware Network for Robust Gait Recognition in the Wild
Gait biometrics aims at identity recognition by appearance or pose features captured during unconstrained human walking.Lightweight graph transformers for clutter and target classification in automotive radar
Radar is a core sensor modality for scene perception to achieve higher levels of autonomy in automotive driving.An Agentic Framework for Quality-Aware and Scenario-Adaptive Image Compression
Despite decades of progress, image codecs remain difficult to adapt to diverse real-world compression scenarios for two main reasons.ProAlign: Progressive Positional and Prototype-Guided Alignment for Aerial-Ground Person Re-Identification
Aerial-Ground Person Re-Identification (AG-ReID) aims to match pedestrian images captured by unmanned aerial vehicles (UAVs) and ground-based surveillance cameras.ScoreDial: Precise Control of Visual Attributes in Image Generation via Regressor Guidance from Limited Human Ratings
Requested-value control is stricter than continuous steering: given $c$ on a human-rating scale, the generated image should attain that value from only limited ratings.Learned Smartphone ISP on Mobile GPUs: Mobile AI 2026 Challenge Report
With the increasing importance of mobile camera quality in modern smartphones, growing attention has been directed toward computational photography and advanced image signal processing (ISP)…Can saliency maps flag chest radiograph classifier errors at a new hospital? An external validation study
Saliency maps are offered as a safeguard for medical image classifiers, but whether they reveal individual errors at a new hospital remains largely untested.RGB Photo Enhancement with Deep Learning on Smartphone GPUs: Mobile AI 2026 Challenge Report
On-device RGB photo enhancement is a popular task that is needed for quality improvement of photos captured with mobile devices as well as for retouching of images acquired through other sources.Federated Transfer Learning for Medical Image Classification under Mixed Skew
Deep learning in medical imaging is constrained by data scarcity and by privacy regulations that make centralizing patient data across institutions impractical.On the Learnability of Footwear Robustness: Footstep Recognition Under Unseen Conditions
Footstep patterns, captured using pressure or force-sensitive walkways during natural walking, offer a convenient and passive approach to biometric recognition.Do Agentic Policies Need to Look at Every Step? Geometric Abstraction for Reasoning and Action
Recent multimodal language models can reason directly about robot scenes, but it is unclear whether they need to repeatedly reinterpret raw visual observations at every step of an interaction.FloMo: 3D Scene Flow as a World Action Model Intermediate for Learning from Human Video
Pretrained video generation models distill internet-scale motion priors into robot policies, but full video is a redundant signal for action prediction.VIGOR: Visual Gain Ordering for Hallucination Mitigation in Multimodal Discrete Diffusion Language Models
Multimodal discrete diffusion language models (dLLMs) generate responses through iterative mask prediction and offer a promising alternative to autoregressive large vision-language models.Trajectory Evaluation via Rollout-Free World Model for End-to-end Autonomous Driving
Although existing candidate trajectory evaluators have substantially improved end-to-end planning accuracy, their underlying mechanism remains suboptimal.