80 citations · 146 across the 9 of their papers we have counts for
9 papers
Geometric Synthesis: A Free lunch for Large-scale Palmprint Recognition Model Pretraining
Kai Zhao, Lei Shen, Yingyi Zhang +6
Palmprints are private and stable information for biometric recognition. In the deep learning era, the development of palmprint recognition is limited by the lack of sufficient tra…
Adaptive Feature Alignment for Adversarial Training
Tao Wang, Ruixin Zhang, Xingyu Chen +6
Recent studies reveal that Convolutional Neural Networks (CNNs) are typically vulnerable to adversarial attacks, which pose a threat to security-sensitive applications. Many advers…
FakeMix Augmentation Improves Transparent Object Detection
Yang Cao, Zhengqiang Zhang, Enze Xie +4
Detecting transparent objects in natural scenes is challenging due to the low contrast in texture, brightness and colors. Recent deep-learning-based works reveal that it is effecti…
Dynamic Multi-Task Learning for Face Recognition with Facial Expression
Zuheng Ming, Junshi Xia, Muhammad Muzzamil Luqman +2
Benefiting from the joint learning of the multiple tasks in the deep multi-task networks, many applications have shown the promising performance comparing to single-task learning.…
Translate-to-Recognize Networks for RGB-D Scene Recognition
Dapeng Du, Limin Wang, Huiling Wang +2
Cross-modal transfer is helpful to enhance modality-specific discriminative power for scene recognition. To this end, this paper presents a unified framework to integrate the tasks…
FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks
Zuheng Ming, Junshi Xia, Muhammad Muzzamil Luqman +2
This paper proposes a holistic multi-task Convolutional Neural Networks (CNNs) with the dynamic weights of the tasks,namely FaceLiveNet+, for face authentication. FaceLiveNet+ can…
Deep Regression Forests for Age Estimation
Wei Shen, Yilu Guo, Yan Wang +3
Age estimation from facial images is typically cast as a nonlinear regression problem. The main challenge of this problem is the facial feature space w.r.t. ages is heterogeneous,…
Label Distribution Learning Forests
Wei Shen, Kai Zhao, Yilu Guo +1
Label distribution learning (LDL) is a general learning framework, which assigns to an instance a distribution over a set of labels rather than a single label or multiple labels. C…
Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs
Wei Shen, Kai Zhao, Yuan Jiang +3
Object skeleton is a useful cue for object detection, complementary to the object contour, as it provides a structural representation to describe the relationship among object part…