DinoRADE reports a radar-centered multi-class detection pipeline that fuses dense radar tensors with DINOv3 features via deformable attention and outperforms prior radar-camera methods by 12.1% on the K-Radar dataset across weather conditions.
Title resolution pending
9 Pith papers cite this work. Polarity classification is still indexing.
9
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
verdicts
UNVERDICTED 9roles
background 1polarities
background 1representative citing papers
HGRD performs holistic static analysis of CPU and GPU code to detect true data races with no misses and no false alarms.
A numerical method computes real complement regions of projected hypersurfaces via pseudo-witness sets and univariate interpolation without explicit elimination.
No polytime black-box BIC or MIDR reductions exist for expected welfare maximization in additive single-buyer downward-closed settings or multi single-parameter settings, requiring exponentially many queries for sub-polynomial approximations.
PALO is a new approximate probabilistic logic with continuous semantics and SGD/MCMC inference, implemented as LIME in TensorFlow and demonstrated on bioinformatics network synthesis.
An RNN trained unsupervised on benign hardware counter traces detects multiple unseen attacks including Meltdown, Spectre, Rowhammer and Zombieload with F-score 0.9970.
Item-item neighborhood outperforms matrix factorization methods for recommending long-tail local artists in city-specific playlists under a modified evaluation that restricts rankings to local tracks.
Data mining of IoT sensor data from school buildings yields insights for lowering energy footprint via operational management.
A literature survey of VM image repository designs and distribution mechanisms for federated clouds, with system comparisons and identification of open issues.
citing papers explorer
-
DinoRADE: Full Spectral Radar-Camera Fusion with Vision Foundation Model Features for Multi-class Object Detection in Adverse Weather
DinoRADE reports a radar-centered multi-class detection pipeline that fuses dense radar tensors with DINOv3 features via deformable attention and outperforms prior radar-camera methods by 12.1% on the K-Radar dataset across weather conditions.
-
Towards an Accurate GPU Data Race Detector
HGRD performs holistic static analysis of CPU and GPU code to detect true data races with no misses and no false alarms.
-
Elimination Without Eliminating: Computing Complements of Real Hypersurfaces Using Pseudo-Witness Sets
A numerical method computes real complement regions of projected hypersurfaces via pseudo-witness sets and univariate interpolation without explicit elimination.
-
The Complexity of Black-Box Mechanism Design with Priors
No polytime black-box BIC or MIDR reductions exist for expected welfare maximization in additive single-buyer downward-closed settings or multi single-parameter settings, requiring exponentially many queries for sub-polynomial approximations.
-
Probabilistic Approximate Logic and its Implementation in the Logical Imagination Engine
PALO is a new approximate probabilistic logic with continuous semantics and SGD/MCMC inference, implemented as LIME in TensorFlow and demonstrated on bioinformatics network synthesis.
-
FortuneTeller: Predicting Microarchitectural Attacks via Unsupervised Deep Learning
An RNN trained unsupervised on benign hardware counter traces detects multiple unseen attacks including Meltdown, Spectre, Rowhammer and Zombieload with F-score 0.9970.
-
Evaluating Recommender System Algorithms for Generating Local Music Playlists
Item-item neighborhood outperforms matrix factorization methods for recommending long-tail local artists in city-specific playlists under a modified evaluation that restricts rankings to local tracks.
-
On Mining IoT Data for Evaluating the Operation of Public Educational Buildings
Data mining of IoT sensor data from school buildings yields insights for lowering energy footprint via operational management.
-
VM Image Repository and Distribution Models for Federated Clouds: State of the Art, Possible Directions and Open Issues
A literature survey of VM image repository designs and distribution mechanisms for federated clouds, with system comparisons and identification of open issues.