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: 4,996 arXiv preprints and 4 OpenAlex records.
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Newest papers, page 235
WARP: A Unified Benchmark for Invisible Image Watermarking -- Robustness and Protection Against Attacks
Digital image watermarking is increasingly critical in media contexts, as emerging regulations and industry practices require marking AI-generated content and ensuring traceable sources to prevent…Enhancing Autoregressive Video Generation via Representation Adversarial Distillation
Few-step autoregressive video generation enables efficient streaming synthesis, but errors introduced in early temporal blocks are reused as context and can propagate through subsequent rollouts…MAGiDiff: Sampling the Photospheric Vector Field from UV/EUV Filtergrams
Photospheric vector magnetic fields are foundational to modeling, understanding, and forecasting solar activity.CoEvoWhen: Policy-Tool Coevolution for Ultra-Long Video Temporal Grounding
Ultra-long video temporal grounding requires balancing long-range evidence search with fine-grained event understanding under a limited visual budget, yet existing agentic methods still rely largely…Less Data, Better Timing: Student-Curriculum Coupling for VLM On-Policy Distillation in Temporal Video Grounding
On-policy distillation (OPD) provides dense supervision directly on student-generated trajectories, making it an effective post-training strategy for vision-language models in temporal video…LongEmo: Towards Emotion Understanding and Reasoning in Long Videos
While recent Multimodal Large Language Models (MLLMs) have shown promise in affective computing, their reasoning capabilities are largely confined to short video clips with limited interactions.Tissue Detection Determines False Positives in Diffusion-Based Histopathology Artifact Detection
One-class artifact detectors for whole-slide images learn normal tissue from a clean training pool and flag departures from it.GateSPINE: Gated Cross-View Fusion for Lumbar Spine MRI Report Generation
Automated report generation can ease the burden radiolo gists face when interpreting multi-sequence MRI studies.VR-JEPA: Learning Contrastive-State Latent Guidance for Generation-based Video Reasoning
Reasoning through video generation offers a promising path toward visual intelligence by modeling latent visual states and their dynamics.Prototype-Rule Neurosymbolic Regularization for Rank-Constrained Tensor Neural Networks under Label Scarcity
Rank-constrained tensor neural networks reduce the parameterization of high-order inputs, but they do not explicitly constrain class geometry in the learned representation.MemLife: Curating and Reasoning over Long-Term Egocentric Video Memories
Long-term egocentric video enables personalized AI assistants to reason about daily life.Recognition of Urbanized Areas in UAV-Derived Very-High-Resolution Visible-Light Imagery
This study compared classifiers that differentiate between urbanized and non-urbanized areas based on unmanned aerial vehicle (UAV)-acquired RGB imagery.Learning Skills from Historical Action Trajectories: Action Experience Dictionary for World Action Models
World Action Models (WAMs) couple visual dynamics prediction with action generation, yet they do not explicitly support the reuse of action experience across manipulation tasks.LOCI: Spatial Linear Memory for Streaming World Models
When a camera revisits a previously observed region, a video world model should reproduce what was there before.EviRover: Reinforcing Agentic Perception Beyond a Glance
Visual perception is conventionally formulated as a one-shot prediction from a single glance at the image, under the assumption that the image content and the model's parametric knowledge suffice to…StreamRig: Exploiting Intra-Rig Geometry for Streaming Multi-Camera Odometry
Mobile robots and vehicles carry synchronized multi-camera rigs, yet many streaming 3D foundation models are designed for monocular input, leaving efficient use of rig geometry a challenge.ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents
Online training enables computer-use agents (CUAs) to improve through interaction with executable environments.Looped Diffusion Transformer
Improving text-to-image models has traditionally relied on increasing model size or the number of denoising steps.GLARE: Generating Listening Heads with Appropriate Reactions
While talking head generation has advanced rapidly, generating natural listener behavior in dyadic conversations, which know when to react, how to react, and with what type of response, remains…Atomizer-IO: Beyond Pixels, Patches and Grids
Most vision architectures assume that observations lie on a regular grid, an effective abstraction for natural images but a restrictive one for sensing data whose channels, temporal sampling…