1.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN353 papers
- University of Chinese Academy of SciencesCN228 papers
- Shandong Institute of AutomationCN78 papers
- Beijing Academy of Artificial IntelligenceCN58 papers
- Center for Excellence in Brain Science and Intelligence TechnologyCN57 papers
- Tsinghua UniversityCN26 papers
- Peking UniversityCN16 papers
- National University of SingaporeSG13 papers
- Beijing University of Posts and TelecommunicationsCN12 papers
- Beihang UniversityCN11 papers
- University of Science and Technology of ChinaCN11 papers
- Anhui UniversityCN9 papers
19 papers · 1 filter
Transfer Learning based Dynamic Multiobjective Optimization Algorithms
Min Jiang, Zhongqiang Huang, Liming Qiu +2
One of the major distinguishing features of the dynamic multiobjective optimization problems (DMOPs) is the optimization objectives will change over time, thus tracking the varying…
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…
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation
Qiang Cui, Shu Wu, Qiang Liu +2
Sequential recommendation is a fundamental task for network applications, and it usually suffers from the item cold start problem due to the insufficiency of user feedbacks. There…
Fixed-point Factorized Networks
Peisong Wang, Jian Cheng
In recent years, Deep Neural Networks (DNN) based methods have achieved remarkable performance in a wide range of tasks and have been among the most powerful and widely used techni…
Image Based Camera Localization: an Overview
Yihong Wu, Fulin Tang, Heping Li
Recently, virtual reality, augmented reality, robotics, autonomous driving et al attract much attention of both academic and industrial community, in which image based camera local…
Learning Sentence Representation with Guidance of Human Attention
Shaonan Wang, Jiajun Zhang, Chengqing Zong
Recently, much progress has been made in learning general-purpose sentence representations that can be used across domains. However, most of the existing models typically treat eac…
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…
Visual BFI: an Exploratory Study for Image-based Personality Test
Jitao Sang, Huaiwen Zhang, Changsheng Xu
This paper positions and explores the topic of image-based personality test. Instead of responding to text-based questions, the subjects will be provided a set of "choose-your-favo…
Efficient High-Speed WPA2 Brute Force Attacks using Scalable Low-Cost FPGA Clustering [Extended Version]
Markus Kammerstetter, Markus Muellner, Daniel Burian +2
WPA2-Personal is widely used to protect Wi-Fi networks against illicit access. While attackers typically use GPUs to speed up the discovery of weak network passwords, attacking ran…
Learning Discriminative Features with Class Encoder
Hailin Shi, Xiangyu Zhu, Zhen Lei +2
Deep neural networks usually benefit from unsupervised pre-training, e.g. auto-encoders. However, the classifier further needs supervised fine-tuning methods for good discriminatio…
Modern Physiognomy: An Investigation on Predicting Personality Traits and Intelligence from the Human Face
Rizhen Qin, Wei Gao, Huarong Xu +1
The human behavior of evaluating other individuals with respect to their personality traits and intelligence by evaluating their faces plays a crucial role in human relations. Thes…
Locally Imposing Function for Generalized Constraint Neural Networks - A Study on Equality Constraints
Linlin Cao, Ran He, Bao-Gang Hu
This work is a further study on the Generalized Constraint Neural Network (GCNN) model [1], [2]. Two challenges are encountered in the study, that is, to embed any type of prior in…
Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks
Yanghao Li, Cuiling Lan, Junliang Xing +3
Human action recognition from well-segmented 3D skeleton data has been intensively studied and has been attracting an increasing attention. Online action detection goes one step fu…
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…
Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks
Wentao Zhu, Cuiling Lan, Junliang Xing +4
Skeleton based action recognition distinguishes human actions using the trajectories of skeleton joints, which provide a very good representation for describing actions. Considerin…
Do We Need Binary Features for 3D Reconstruction?
Bin Fan, Qingqun Kong, Wei Sui +5
Binary features have been incrementally popular in the past few years due to their low memory footprints and the efficient computation of Hamming distance between binary descriptor…
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…
Estimation of Fiber Orientations Using Neighborhood Information
Chuyang Ye, Jiachen Zhuo, Rao P. Gullapalli +1
Data from diffusion magnetic resonance imaging (dMRI) can be used to reconstruct fiber tracts, for example, in muscle and white matter. Estimation of fiber orientations (FOs) is a…