223 citations · 300 across the 12 of their papers we have counts for
13 papers
Stateful Detection of Adversarial Reprogramming
Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia +5
Adversarial reprogramming allows stealing computational resources by repurposing machine learning models to perform a different task chosen by the attacker. For example, a model tr…
Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference
Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia +5
Adversarial reprogramming allows repurposing a machine-learning model to perform a different task. For example, a model trained to recognize animals can be reprogrammed to recogniz…
Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction
Ruijing Yang, Ziyu Guan, Zitong Yu +3
Automatic pain recognition is paramount for medical diagnosis and treatment. The existing works fall into three categories: assessing facial appearance changes, exploiting physiolo…
Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?
Roberto Casula, Giulia Orrù, Daniele Angioni +3
We investigated the threat level of realistic attacks using latent fingerprints against sensors equipped with state-of-art liveness detectors and fingerprint verification systems w…
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition
Zhaoqiang Xia, Wei Peng, Huai-Qian Khor +2
Composite-database micro-expression recognition is attracting increasing attention as it is more practical to real-world applications. Though the composite database provides more s…
Deep Neural Rejection against Adversarial Examples
Angelo Sotgiu, Ambra Demontis, Marco Melis +4
Despite the impressive performances reported by deep neural networks in different application domains, they remain largely vulnerable to adversarial examples, i.e., input samples t…
Audio-Visual Kinship Verification
Xiaoting Wu, Eric Granger, Xiaoyi Feng
Visual kinship verification entails confirming whether or not two individuals in a given pair of images or videos share a hypothesized kin relation. As a generalized face verificat…
3D Face Mask Presentation Attack Detection Based on Intrinsic Image Analysis
Lei Li, Zhaoqiang Xia, Xiaoyue Jiang +3
Face presentation attacks have become a major threat to face recognition systems and many countermeasures have been proposed in the past decade. However, most of them are devoted t…
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions
Zhaoqiang Xia, Xiaopeng Hong, Xingyu Gao +2
Recently, the recognition task of spontaneous facial micro-expressions has attracted much attention with its various real-world applications. Plenty of handcrafted or learned featu…
Face Presentation Attack Detection in Learned Color-liked Space
Lei Li, Zhaoqiang Xia, Xiaoyue Jiang +2
Face presentation attack detection (PAD) has become a thorny problem for biometric systems and numerous countermeasures have been proposed to address it. However, majority of them…
Spontaneous Facial Micro-Expression Recognition using Discriminative Spatiotemporal Local Binary Pattern with an Improved Integral Projection
Xiaohua Huang, Sujing Wang, Xin Liu +3
Recently, there are increasing interests in inferring mirco-expression from facial image sequences. Due to subtle facial movement of micro-expressions, feature extraction has becom…
Local feature hierarchy for face recognition across pose and illumination
Xiaoyue Jiang, Dong Zhang, Xiaoyi Feng
Even though face recognition in frontal view and normal lighting condition works very well, the performance degenerates sharply in extreme conditions. Recently there are many work…
Unsupervised Deep Hashing for Large-scale Visual Search
Zhaoqiang Xia, Xiaoyi Feng, Jinye Peng +1
Learning based hashing plays a pivotal role in large-scale visual search. However, most existing hashing algorithms tend to learn shallow models that do not seek representative bin…