Computer Vision

Researchers propose EmCom-Diffusion, a framework that measures visual reflection in emergent languages by reconstructing images from emergent messages using a finetuned diffusion model and comparing them to originals. Va…

Researchers introduced Sparse-Reslim, a plug-in routing module that reduces computational cost in ViT-based weather forecasting by processing only 25% of spatial tokens through expensive transformer blocks while maintain…

Researchers introduced a post-generation curation method for synthetic images that selects informative subsets from a fixed pool of generated data. The approach splits each real class into homogeneous and heterogeneous s…

Researchers propose an additive causal construction (ACC) framework for multi-source image fusion that addresses cross-system discrepancy and entanglement, improving out-of-distribution generalization. The method, valida…

Researchers propose Dual-Adaptive SAM3 (DA-SAM3), a framework for parameter-efficient medical image segmentation that uses a Dynamic Expert Router and Decomposed Parameterized Experts to reduce MoE overhead by over 80% w…

Researchers propose MAGE, a geometry-aware framework for view-guided point cloud completion that integrates efficient modality alignment and adaptive geometry enhancement to address cross-modal geometric inconsistency. T…

Researchers at a university found that selectively applying monocular depth priors from Depth Anything V2 improves sparse-view neural reconstruction in driving scenes, with Splatfacto gaining 1.029 PSNR and reducing RMSE…

Researchers used interpretable machine learning to predict Parkinson's disease motor severity from QSM and fMRI features, achieving 45.4% variance explained and 75% of predictions within 5 points of clinical scores. The …

Researchers introduced VulcanVoxel, a spatial affordance model that learns 3D blade insertion feasibility in cluttered stowing environments using a masked autoencoder over occupancy fields. Trained on 10,000 real warehou…

Researchers developed a two-stage U-Net framework for efficient pedestrian-level wind prediction across urban morphologies, using the UrbanTALES dataset. The first stage predicts wind fields patch-by-patch, while the sec…

Researchers evaluated uncertainty-aware last-layer adaptation methods for referable diabetic retinopathy screening using RETFound, a self-supervised vision-transformer foundation model, on the APTOS 2019 and DDR datasets…

A new decision framework for cross-habitat marine species recognition shows that pairing a frozen DINOv2 foundation model with a linear classifier and just 10-20 labeled images per species achieves reliable recognition a…

A cross-dataset benchmark of CNN and Transformer architectures for diabetic foot ulcer segmentation found that all models degrade substantially on external data, but SegFormer-B2 (Transformer) generalizes best, outperfor…

IFLYTEK-Embodied-Omni, a unified multimodal foundation model, jointly models vision, language, and action within a single framework to enable general-purpose embodied agents to understand instructions, predict environmen…

Researchers developed a multilingual, multimodal NLP framework for early detection of fake news and violence-driven mob activity, achieving 98% accuracy on a fused dataset of 138,256 Bangla and English samples. The syste…

Researchers developed a semi-automatic pipeline that converts CT-based cardiac segmentations into simulation-ready meshes in minutes, preserving anatomical and topological consistency. Validated on 58 healthy cardiac CT …

A technical report evaluating 14 text-to-image models found that while all private models have some IP guardrails, refusal rates vary widely and all models readily generated images containing recognizable intellectual pr…

Researchers developed a neural completion framework for Islamic geometric patterns that enforces exact rotational symmetry by embedding formal geometric rules into the model. The system guarantees N-fold symmetry and pre…

Researchers introduced a visual analytics framework for exploring attention dynamics in diffusion models, enabling structured analysis of token-level cross-attention maps across generation steps. The framework integrates…

Anthropic's Claude Sonnet 5 reduces costs for agentic AI, while agent frameworks like Konsistent, RF-DETR Keypoint, Search Toolkit, and Koog 1.0 ship stable APIs and tooling. Konsistent enforces structural code conventio…