136 citations · 498 across the 11 of their papers we have counts for
11 papers
Pixel Difference Networks for Efficient Edge Detection
Zhuo Su, Wenzhe Liu, Zitong Yu +5
Recently, deep Convolutional Neural Networks (CNNs) can achieve human-level performance in edge detection with the rich and abstract edge representation capacities. However, the hi…
Frequency-specific segregation and integration of human cerebral cortex: an intrinsic functional atlas
Zhiguo Luo, Ling-Li Zeng, Hui Shen +1
The frequency-specific coupling mechanism of the functional human brain networks underpins its complex cognitive and behavioral functions. Nevertheless, it is not well unveiled wha…
A Pose-only Solution to Visual Reconstruction and Navigation
Qi Cai, Lilian Zhang, Yuanxin Wu +2
Visual navigation and three-dimensional (3D) scene reconstruction are essential for robotics to interact with the surrounding environment. Large-scale scenes and critical camera mo…
Deep Learning for Scene Classification: A Survey
Delu Zeng, Minyu Liao, Mohammad Tavakolian +5
Scene classification, aiming at classifying a scene image to one of the predefined scene categories by comprehending the entire image, is a longstanding, fundamental and challengin…
Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Zhuo Su, Linpu Fang, Wenxiong Kang +3
Replacing normal convolutions with group convolutions can significantly increase the computational efficiency of modern deep convolutional networks, which has been widely adopted i…
Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning
Hong Tao, Chenping Hou, Dongyun Yi +2
In real-world applications, not all instances in multi-view data are fully represented. To deal with incomplete data, Incomplete Multi-view Learning (IML) rises. In this paper, we…