Understanding GNOME Shell’s focus stealing prevention.
blogs.gnome.org·6d·
Discuss: Lobsters, r/linux
🔒Hardware Security
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder
arxiv.org·4d
🤖AI
Semi-supervised Image Dehazing via Expectation-Maximization and Bidirectional Brownian Bridge Diffusion Models
arxiv.org·4d
🎨Computer Graphics
StyleMM: Stylized 3D Morphable Face Model via Text-Driven Aligned Image Translation
arxiv.org·4d
🦾Rust ML
JMA: a General Algorithm to Craft Nearly Optimal Targeted Adversarial Example
arxiv.org·4d
🤖AI
Probing the Representational Power of Sparse Autoencoders in Vision Models
arxiv.org·4d
🕯️Candle
Subcortical Masks Generation in CT Images via Ensemble-Based Cross-Domain Label Transfer
arxiv.org·4d
🎨Computer Graphics
AIM: Amending Inherent Interpretability via Self-Supervised Masking
arxiv.org·4d
🤖AI
AI Is a Mass-Delusion Event
theatlantic.com·3d·
Discuss: Lobsters, Hacker News
🤖AI
ReachVox: Clutter-free Reachability Visualization for Robot Motion Planning in Virtual Reality
arxiv.org·4d
🎮Game Engines
Bias is a Math Problem, AI Bias is a Technical Problem: 10-year Literature Review of AI/LLM Bias Research Reveals Narrow [Gender-Centric] Conceptions of 'Bias',...
arxiv.org·4d
🤖AI
Unifying Scale-Aware Depth Prediction and Perceptual Priors for Monocular Endoscope Pose Estimation and Tissue Reconstruction
arxiv.org·4d
🎨Computer Graphics
PTSM: Physiology-aware and Task-invariant Spatio-temporal Modeling for Cross-Subject EEG Decoding
arxiv.org·4d
⏱️Real-time Systems
Legal Personhood - Types of Consequences
lesswrong.com·5d
🔒Hardware Security
Data-Driven Deepfake Image Detection Method -- The 2024 Global Deepfake Image Detection Challenge
arxiv.org·4d
🤖AI
A Survey on Video Temporal Grounding with Multimodal Large Language Model
arxiv.org·4d
🕯️Candle
SelfAdapt: Unsupervised Domain Adaptation of Cell Segmentation Models
arxiv.org·4d
🕯️Candle
original ↗
computer.rip·6d·
Discuss: Lobsters, Hacker News
📡Network Protocols
My Interview With Cade Metz on His Reporting About Lighthaven
lesswrong.com·5d
🤖AI
Better Supervised Fine-tuning for VQA: Integer-Only Loss
arxiv.org·4d
🕯️Candle