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 103
MINER: Modeling Inter- and Intra-Person Variance for Reidentification
Clothes-Changing Person Re-Identification (CC-ReID) remains challenging due to drastic appearance shifts across outfits.Pair-Free Coarse-to-Real Video Generation via Real-to-Coarse Image Supervision
Coarse-to-real (C2R) video generation converts coarse animation, simulation, or game-rendered videos into photorealistic videos while preserving scene layout, camera motion, and dynamics.RoPT: Robust 6DoF Object Pose Tracking in Video
Accurate 6-DoF object pose tracking is essential for robotic interaction, yet conventional monocular pipelines frequently suffer from catastrophic divergence under rapid object motion.Can Quantum Layers offer Performance and Security Advantages in Vision-Language Models?
As quantum computing moves from the noisy intermediate-scale quantum (NISQ) era toward early fault-tolerant quantum computing (EFTQC), quantum-enhanced AI is shifting from a conceptual idea to…TEMPL: A Resource-Efficient and Transparent Model-Free Framework for Pseudo-Label Generation in Material CT Scans
The scarcity of large annotated datasets limits deep learning (DL) segmentation in material CT analysis.MedBOE: Optimization-Based Estimation of Complete Patient Body Models from Whole-Body Medical Imaging
True whole-body medical imaging captures a patient from head to toe and provides comprehensive anatomical and/or functional information.ProtoEEG: Structured Prototype Alignment for EEG Visual Decoding
EEG visual decoding remains difficult because scalp recordings are noisy, spatially coarse, and variable across trials and subjects.OvisOCR3 Technical Report
We introduce OvisOCR3, a 0.8B model for a broad range of OCR-related tasks.PhaseBreak: Proactive Temporal Protection against Unauthorized Image-to-Video Animation
Image-to-Video (I2V) diffusion models can animate a single portrait or photograph, enabling shared images to be repurposed for motion synthesis without the subject's authorization.CheXFuse: Guided Differential Joint Attention Fusion for Robust Multimodal Chest X-Ray Classification in Data-Scarce Medical Settings
A central challenge in multimodal learning is how to fuse modalities that differ substantially in predictive strength.Recurrent Vision Transformers for Event-Based Spacecraft Pose Estimation Under Slow Relative Motions
Vision-based object pose estimation is vital for conducting spacecraft rendezvous and proximity operations (RPO).Where Do the Gaussians Go? Foreground Attraction for Camera-Based Weakly Supervised 3D Occupancy
Camera-based 3D semantic occupancy models can be trained without 3D labels by rendering their predictions into the images and supervising them with 2D pseudo labels.Confidence-Guided Pseudo-Label Refinement for Unsupervised Cross-Domain Person Re-Identification
Unsupervised cross-domain person re-identification remains challenging because domain shifts generate noisy pseudo labels that are reinforced during iterative adaptation.Clean Forcing: Drift-Resistant Autoregressive Video Diffusion with a Frozen Base
Autoregressive (AR) video diffusion models generate streaming video of arbitrary length by conditioning each new chunk of frames on those already generated.TNVD-SC: Diagnosing Scan Context Failures in Forests with Terrain-Normalized Vertical Distributions
Long-term LiDAR place recognition in forests is difficult because repetitive vegetation and uneven terrain create severe structural aliasing.ACorD: Adaptive Correspondence Discovery for Medical Image Registration
Medical image registration is a fundamental task for aligning anatomical structures across images.Visual Memory and Textual Alignment for Cross-Modal Few-Shot Segmentation
Few-shot segmentation (FSS) aims to segment target objects with limited annotated examples.Negation without Confusion: Decomposing Bias and Recomposing Style in Text Embeddings for Negation-aware Image Generation
Negation-aware image generation remains challenging for text-to-image diffusion models, which often struggle with negation due to implicit linguistic biases that are deeply entangled within text…InteractAgent: Agentic Human Motion Interaction with Memory-Augmented Reflection
Long-horizon human-scene interaction requires coordinated spatial reasoning, physical feasibility, and the ability to recover from compounding execution errors.FluidGen: Physics-Aware Fluid Video Generation via Motion-Guided Post-Training
Video generation models produce visually compelling motion but systematically fail on fluid phenomena, including smoke, fire, and explosion debris, where outputs lack coherent vortical structure and…