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 25
Unlocking the Potential of Contrastive Regularization for Diffusion Transformer Training
Representation regularization has emerged as an effective way to improve diffusion transformer training.Comprehensive Evaluation of Monocular and Multi-view 3D Human Pose Estimation Models for Fitness Exercise Analysis
Three-dimensional human pose estimation has become a fundamental component of computer vision systems for sports analytics, rehabilitation, and motion understanding.Training-Time Domain Transfer for Generator-Free Diagnostics on Novel Modalities in Computational Pathology
Novel imaging modalities promise improved diagnostics, but AI development is constrained by scarce training data.RouteREPA: Routed Representation Alignment for Just Image Transformers
Representation alignment (REPA) is widely used to accelerate the training of latent-space diffusion transformers (DiTs).Balancing Representations by Identifying and Generating Under-represented Data
Self-supervised learning inherits the coverage of its source data.One Image Is Enough: Self-Generated Supervision for Personalizing Human Video Diffusion at Test Time
Pose-driven human video diffusion animates a person from a single reference image and a target pose sequence, yet it struggles to preserve identity, rendering the face and garments unfaithfully as…ILLRAW: Illumination-Aware RAW Object Detection
Existing RAW-based detectors typically introduce learnable ISP modules to convert RAW inputs into sRGB-like formats to fit off-the-shelf detectors.Q-CamTuning: A Multimodal Large Language Model for Fine-Grained Quality Reasoning in Livestreaming Camera Tuning
With the popularization of livestreaming applications, automatic camera tuning has become indispensable for ordinary users to enjoy high Quality of Experience (QoE).Efficient Hybrid Distillation: Synergizing Score and Adversarial Objectives for One-Step Diffusion
Numerous distillation methods have been developed to accelerate diffusion models.VizDAGuide: Misleading Chart Question Answering in Compact Vision Language Models via DAG-Structured Supervision
Misleading charts can lead vision-language models to conclusions that conflict with underlying data.VLM-as-a-Judge for Person Re-Identification
Cloth-changing person re-identification (CC-ReID) is still very challenging, and no method clearly dominates: methods that lead on one benchmark collapse on the others, because they rest on…GPU-Native Real-Time Textured Mesh Reconstruction with Seam-Aware Multi-View Radiometric Correction
We present a GPU-native volumetric-video system for real-time reconstruction of graphics-compatible textured triangle meshes from multiple RGB-D sensors.Bayesian Sequential Optimal Experimental Design for Single-Pixel Imaging using Reinforcement Learning
Adaptive compressed sensing (CS) aims to select the most informative measurements sequentially, which is crucial for many modern imaging systems.VideoEditor-MoE: Scaling Complex Video Editing with Mixture of Experts
Complex video editing requires understanding complex instructions while jointly fulfilling multiple editing requests.MuCHMDPoser: Multiview RGB-Camera Full-Body Pose Tracking for Virtual Reality
Accurate full-body tracking in Virtual Reality (VR) is heavily underconstrained when relying solely on consumer-grade sparse sensors, such as Head-Mounted Displays (HMDs) and handheld controllers.PlanContext: Benchmarking In-Context Driving Decision-Making
Real-world driving requires context-aware decision-making.Shared-Pattern Collaborative Network for Multi-Source Remote Sensing Data Classification
Multi-source remote sensing data classification has received growing attention recently.Cross-Layer Refinement and Frequency-aware Fusion Network for Multi-Source Remote Sensing Image Classification
Multi-source remote sensing image classification benefits from complementary spectral and structural information.VL-Dedup: Graded Multimodal Entity Resolution for Image-Text Data Deduplication
Image-text corpora contain copies of one image, captions that describe one image in different ways, captions reused for different images, and captions that do not match their images.MIRA: Reinforcing Multimodal Reasoning via Deceptive Contextual Augmentation
While Reinforcement Learning with Verifiable Rewards (RLVR) has significantly advanced multimodal reasoning, existing frameworks suffer from a critical "perception-reasoning gap.