1.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Chinese Academy of SciencesCN72 papers
- Chinese Academy of SciencesCN70 papers
- Institute of AutomationCN57 papers
- Beijing Academy of Artificial IntelligenceCN20 papers
- Institute of Computing TechnologyCN11 papers
- Shandong Institute of AutomationCN11 papers
- University of Science and Technology of ChinaCN5 papers
- Peng Cheng LaboratoryCN4 papers
- Tsinghua UniversityCN4 papers
- Horizon Robotics (China)3 papers
- Ningbo Institute of Industrial TechnologyCN3 papers
- Tongji UniversityCN3 papers
6 papers · 1 filter
Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection
Hongwen Zhang, Qi Li, Zhenan Sun +1
Facial landmark detection is an important yet challenging task for real-world computer vision applications. This paper proposes an effective and robust approach for facial landmark…
Funnel-Structured Cascade for Multi-View Face Detection with Alignment-Awareness
Shuzhe Wu, Meina Kan, Zhenliang He +2
Multi-view face detection in open environment is a challenging task due to diverse variations of face appearances and shapes. Most multi-view face detectors depend on multiple mode…
Online and Offline Handwritten Chinese Character Recognition: A Comprehensive Study and New Benchmark
Xu-Yao Zhang, Yoshua Bengio, Cheng-Lin Liu
Recent deep learning based methods have achieved the state-of-the-art performance for handwritten Chinese character recognition (HCCR) by learning discriminative representations di…
Deep Aesthetic Quality Assessment with Semantic Information
Yueying Kao, Ran He, Kaiqi Huang
Human beings often assess the aesthetic quality of an image coupled with the identification of the image's semantic content. This paper addresses the correlation issue between auto…
GIFT: A Real-time and Scalable 3D Shape Search Engine
Song Bai, Xiang Bai, Zhichao Zhou +2
Projective analysis is an important solution for 3D shape retrieval, since human visual perceptions of 3D shapes rely on various 2D observations from different view points. Althoug…
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation
Guo-Sen Xie, Xu-Yao Zhang, Shuicheng Yan +1
Convolutional neural network (CNN) has achieved state-of-the-art performance in many different visual tasks. Learned from a large-scale training dataset, CNN features are much more…