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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 188
Gaussian Density Splatting Network
This paper proposes a novel crowd counting approach, the Gaussian Density Splatting Network (GDSNet).Self-correction Optimization for Interleaved Multimodal Generation
Multimodal large language models (MLLMs) have made significant progress in visual understanding and generation.Rubix: Global Correspondence-Free Point Set Alignment through Assignment Geometry
Procrustes-Wasserstein alignment jointly estimates a matching and rotation without supplied correspondences, but alternating minimization can stop at suboptimal solutions.GraphRectify: Graph-Based Transfer of Adversarial Example Detectors Across Neural Networks
Adversarial example detectors are often tied to the classifier backbone they were trained on, limiting reuse when the protected model is replaced or upgraded.SGF+: Decoupling Gradient Flows for Autoregressive Video Generation
Autoregressive video generation requires denoising the current frames while writing their key-value representations as context for future predictions.Detecting Adversarial Images through Response Profiles of Vision-Language Models
Adversarial perturbations can alter the predictions of frozen vision-language models (VLMs) while leaving their confidence and image--text similarity patterns seemingly plausible.ECHO: Embodied Camera Observations of Human Object Carrying
Embodied and assistive agents must do more than recognize objects: they must reason about where an object belongs given the layout of an environment and the habits of the people who live in it.MemoCare: An Interactive Multimodal Mobile System for Automated Cognitive Screening
MemoCare is an interactive mobile system for automated multimodal cognitive screening.MORCA: Offline-to-Online Reinforcement Learning for Adaptive Cache Reuse in Video Diffusion Acceleration
Diffusion Transformers (DiTs) achieve remarkable performance in video synthesis, but their iterative denoising process suffers from high inference latency.Label-free cell counting and viability prediction with brightfield imaging and deep learning
Cell viability assessment is a core requirement in cell culture systems, with critical applications in biopharmaceutical manufacturing and drug development.Agentic RSR: Real-to-Sim-to-Real through Scene Reconstruction and Execution-Grounded Robot Policies
A simulation of a real robot workspace must preserve task-relevant interactions, while policies developed in it must operate on observations available to the real robot.Insights from Autoresearch for Solar Panel Segmentation
This paper investigates AutoResearch, a protocol in which a coding language model edits a training program under a one-hour GPU budget and retains a change only if validation IoU improves.QuadTok: Quadtree Visual Tokenizer for Autoregressive Image Generation
We introduce QuadTok, a novel framework for visual tokenization and autoregressive image generation.Video-Conditioned Generative Joint 2D-3D Hand Motion Recovery
Recovering faithful 3D hand motion from video remains challenging due to frequent occlusions and incomplete visual observations, which make frame-wise pose estimates unreliable and temporally…GRACE: Generation-aware latent compression for efficient video generation
Highly compressed video autoencoders offer an effective way to accelerate video diffusion models, as the Diffusion Transformer (DiT) operates on far fewer tokens.Long-WAM: Scaling the Context of World-Action Models
Real-time robot control demands enough visual history to infer motion and task progress, but processing that history can delay action.Never Look Back: Understanding Persistence in 3D Object Memory from Egocentric Videos
As we move through the world and carry out everyday tasks, we encounter objects that may become relevant only later.Tetris3D: 3D Scene Generation With Objects That Fit Together
We propose Tetris3D, a generative framework for single-image 3D scene reconstruction that recovers objects which are physically and geometrically coherent as a scene.A Camera-Native Stereo VR180 Dataset
Immersive VR180 video is increasingly produced with professional stereo fisheye cameras, yet public VR180 research resources are mostly collected from online platforms such as YouTube: already…WorldBench: Evaluating LLMs on Three.js Voxel World Generation
Large language models can now write complete, interactive 3D worlds as code, but grading those worlds automatically is unreliable.