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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 114
PCXR-Copilot: Device-aware pediatric chest radiographic analysis with segmentation, suppression, and edema-related cues
Patients admitted to pediatric ICU and cardiac ICU often require intensive perioperative support and frequent chest radiography to monitor support devices, extravascular lung water, and body-wall…SlimFormer++: Token Mixing Where It Matters for Efficient 3D Medical Image Segmentation
To determine where computation is needed in volumetric segmentation networks, we analyze block-level redundancy and stage-wise token-mixer contribution.GroundedVDR: Grounding Video-to-Web Evidence Dependencies in Video Deep Research
Video large multimodal models have improved at identifying cross-frame visual evidence and conducting open-web retrieval, as reflected in recent video deep research (VDR) benchmarks.From Seeing to Reporting: A Theory of Reliable Visual Set Generation in Vision-Language Models
Vision-language models (VLMs) are asked to report what they see: to count objects, box them, parse a screen or pick a click target (GUI grounding).ReDT: Resolution-Decoupled Visual Geometry Transformer
We introduce ReDT, a feed-forward visual geometry transformer designed to scale multi-view reconstruction to high-definition (HD) inputs.Modaliff: A Unified Token Diffusion Model for Any-to-Any Generation
Any-to-any generation seeks a single model that translates flexibly among text, image, and audio, yet existing approaches either require fully aligned multimodal tuples or a shared representation…Residential Construction Image Dataset Using CSI Divisions for Deep Learning-based Object Detection
Accurate recognition of construction site elements is essential for the application of deep learning (DL) in the construction industry.StreamAhead: Real-Time Streaming Video Question Answering via Adaptive Precomputation
Real-time streaming video question answering with vision-language models must answer queries that arrive at any time with low latency while sustaining the video-processing rate required by the…Tricking Synthetic Image Detectors with Amortized Generative Attacks
Rapid advances in image synthesis have increased the need for reliable synthetic-image detectors, yet their robustness to transferable attacks remains incomplete and understudied.DiffGround: Semantic Difference-Guided Zero-Shot Video Question Grounding
Video Question Grounding (VideoQG) requires both accurate question answering and precise temporal localization.Finite Interaction Lens: Structured Precision Sharing for Vision-Language Models
Identifying which visual interventions interact in a vision-language model requires comparing their joint and separate effects.ViMoLa: Discrete Motion Tokens for Language-Guided Video Generation
Language-guided video generation often captures scene content while missing the requested motion.Deep Auxiliary Learning via Bilevel Feature Optimization for Label-Efficient Medical Image Segmentation
Auxiliary learning (AL), which can improve the performance of a primary task by leveraging related auxiliary tasks, is commonly regarded as a special case of multi-task learning.SZED at ArGuard Shared Tasks: Multi-Task Label-Attention and Cross-Modal Fusion for Arabic Hateful Meme Detection
We present SZED's submission to ArGuard 2026 Track A: Arabic hateful meme detection.Hexagonal Basis Projectors for Model-Based Iterative CT Reconstruction
Image representation affects both the forward model and quantitative feature recovery in model-based iterative CT reconstruction.GazeAgent: VLM-Guided Implicit Gaze Calibration from Egocentric Multimodal Behavior for AI Glasses
AI glasses typically require explicit, user-specific eye-tracker calibration, and accuracy can drift when the device shifts during use.PACE-Mem: Prefix-Aware Complementary Evidence for Multimodal Agents
As multimodal agents accumulate experience, their long-term memories contain many similar observations of recurring scenes, actions, and entities.Defending Against Dormant Poisoning Attacks Across Language and Multimodal Agents
Recent work shows that attackers can implant dormant malicious behaviors that remain hidden at release but emerge after benign fine-tuning.Learning from the Right Regions: Class-Conditioned Explanation Guidance for Medical Imaging
Deep neural networks can achieve strong predictive performance in medical imaging while relying on regions unrelated to the predicted finding.MSCR: Jointly Balancing Utilization Across Modalities and Discovering Synergistic Information
In multimodal learning, modality imbalance often lets one modality dominate optimization and keeps the model from fully exploiting cross-modal interactions.