AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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4,009 papers
OC-GS, an object-centric Gaussian splatting that refines each image's angle while maintaining a shared camera, rotation axis, and pivot, jointly optimizes image-derived geometry and angles to reconstruct objects from sparse, irregular captures.
This work presents ClearGS for 3D Gaussian Splatting (3DGS), which achieves state-of-the-art overall performance, with consistent CLIP-IQA and MUSIQ gains and LPIPS reductions in most degradation settings, without paired sharp supervision or matched clean references.
This work presents the first federated learning framework for automated infant movement analysis and General Movement Assessment using skeletal motion data, and proposes an Uncertainty-Aware Federated Averaging (UA-FedAvg) strategy that incorporates predictive entropy derived from MC-Dropout into the federated aggregat...
Federated learning (FL) data corruption can affect either inputs or labels, but it remains unclear whether input-conditional uncertainty and prediction-label loss expose these corruption modes equally. This paper compares two corruption-detection signals in FL: input-conditional uncertainty and prediction-label loss. T...
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An empirical and measurement audit identifies gaps between optimization activity, target acquisition, and useful held-out visual behavior in medical vision-language model post-training.
This study proposes a novel extension of an existing RGB video compression model that improves tracking area under the curve and distance precision and improves tracking area under the curve by up to 23.42% and distance precision by up to 35.56% on examples from the HOT2026 dataset.
The findings indicate that the evaluated VLMs exhibit a consistent behavioral limitation when processing typographic structures containing multiple spatial frequency layers.
Endpoint-Constrained Optimization (ECO), a lightweight postprocessing layer that anchors the trajectory to the vehicle's executed history, preserves the policy's predicted endpoint, and reshapes the intermediate waypoints to improve feasibility is introduced.
DyMD, a DMD framework that adapts both teacher supervision and critic fitting to the evolving student with no auxiliary modules at inference is proposed, and a 14B teacher is distill into a four-step 1.3B student with no auxiliary modules at inference.
Ordinal acne severity grading requires distinguishing visually similar neighboring grades while jointly weighing holistic facial appearance and localized lesion burden - evidence that most existing approaches collapse into a single opaque representation. We introduce CG-HAF, a global-local fusion framework that instead...
UniAR leverages a large multimodal model to generate hierarchical diagnostic descriptions at the word, phrase, and sentence levels, compensating for the lack of paired clinical reports, and demonstrates that it offers a robust and interpretable framework for ASD screening under semantic scarcity.
DeformView is introduced, a wide-baseline MV dataset with pixel-level annotations of geometric inconsistencies and DEFECt3R is proposed, a lightweight learning-based classifier that uses cross-view feature relationships to localize geometric inconsistencies at the pixel level.
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
GPT-Lab
· gpt-lab.eu
Oct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
A Blog post by H company on Hugging Face
A Blog post by Liquid AI on Hugging Face
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
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