1.3k citations · 1.3k across the 3 of their papers we have counts for
5 papers
RFID-Based Indoor Spatial Query Evaluation with Bayesian Filtering Techniques
Bo Hui, Wenlu Wang, Jiao Yu +4
People spend a significant amount of time in indoor spaces (e.g., office buildings, subway systems, etc.) in their daily lives. Therefore, it is important to develop efficient indo…
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc +24
Building models that can be rapidly adapted to novel tasks using only a handful of annotated examples is an open challenge for multimodal machine learning research. We introduce Fl…
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
Michael A. Alcorn, Qi Li, Zhitao Gong +4
Despite excellent performance on stationary test sets, deep neural networks (DNNs) can fail to generalize to out-of-distribution (OoD) inputs, including natural, non-adversarial on…
Adversarial Texts with Gradient Methods
Zhitao Gong, Wenlu Wang, Bo Li +2
Adversarial samples for images have been extensively studied in the literature. Among many of the attacking methods, gradient-based methods are both effective and easy to compute.…
Adversarial and Clean Data Are Not Twins
Zhitao Gong, Wenlu Wang, Wei-Shinn Ku
Adversarial attack has cast a shadow on the massive success of deep neural networks. Despite being almost visually identical to the clean data, the adversarial images can fool deep…