Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems

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Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems

Chat with Graph Search

Aggregating Spatial and Photometric Context for Photometric Stereo

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360° Neural Radiance Fields

Soliton gas: Theory, numerics, and experiments

SIMBa: System Identification Methods Leveraging Backpropagation

Drone‐Based Solar Cell Inspection With Autonomous Deep Learning

Reliable data-driven decision-making through optimal transport

The Current State of the OBI DICT Project: A Bilingual e-Dictionary of Oracle-Bone Inscriptions with AI Image Recognition

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

PRO-Face C: Privacy-Preserving Recognition of Obfuscated Face via Feature Compensation

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance

Test-time adaptation for 6D pose tracking

Robust machine learning for neuroscientific inference

Understanding generalization and robustness in modern deep learning

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Machine learning-aided generative molecular design

Random matrix methods for high-dimensional machine learning models

Regularization of polynomial networks for image recognition

Explanation of Face Recognition via Saliency Maps

Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK