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273 results on '"Chi, Zheru"'

1. Progression-Guided Temporal Action Detection in Videos

Author

Lu, Chongkai, Mak, Man-Wai, Li, Ruimin, Chi, Zheru, and Fu, Hong

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

We present a novel framework, Action Progression Network (APN), for temporal action detection (TAD) in videos. The framework locates actions in videos by detecting the action evolution process. To encode the action evolution, we quantify a complete action process into 101 ordered stages (0\%, 1\%, ..., 100\%), referred to as action progressions. We then train a neural network to recognize the action progressions. The framework detects action boundaries by detecting complete action processes in the videos, e.g., a video segment with detected action progressions closely follow the sequence 0\%, 1\%, ..., 100\%. The framework offers three major advantages: (1) Our neural networks are trained end-to-end, contrasting conventional methods that optimize modules separately; (2) The APN is trained using action frames exclusively, enabling models to be trained on action classification datasets and robust to videos with temporal background styles differing from those in training; (3) Our framework effectively avoids detecting incomplete actions and excels in detecting long-lasting actions due to the fine-grained and explicit encoding of the temporal structure of actions. Leveraging these advantages, the APN achieves competitive performance and significantly surpasses its counterparts in detecting long-lasting actions. With an IoU threshold of 0.5, the APN achieves a mean Average Precision (mAP) of 58.3\% on the THUMOS14 dataset and 98.9\% mAP on the DFMAD70 dataset., Comment: Under Review. Code available at https://github.com/makecent/APN

Published
2023

4. Detection of High-Risk Depression Groups Based on Eye-Tracking Data

Author

Lu, Simeng, Huang, Shen, Zhang, Yun, Zheng, Xiujuan, Miao, Danmin, Wang, Jiajun, Chi, Zheru, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Peng, Yuxin, editor, Liu, Qingshan, editor, Lu, Huchuan, editor, Sun, Zhenan, editor, Liu, Chenglin, editor, Chen, Xilin, editor, Zha, Hongbin, editor, and Yang, Jian, editor

Published
2020
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9. Recognition of Facial Action Units with Action Unit Classifiers and an Association Network

Author

Chen, Junkai, Chen, Zenghai, Chi, Zheru, Fu, Hong, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Jawahar, C.V., editor, and Shan, Shiguang, editor

Published
2015
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10. Hierarchical Local Binary Pattern for Branch Retinal Vein Occlusion Recognition

Author

Chen, Zenghai, Zhang, Hui, Chi, Zheru, Fu, Hong, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Jawahar, C.V., editor, and Shan, Shiguang, editor

Published
2015
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12. Salient-SIFT for Image Retrieval

Author

Liang, Zhen, Fu, Hong, Chi, Zheru, Feng, Dagan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Blanc-Talon, Jacques, editor, Bone, Don, editor, Philips, Wilfried, editor, Popescu, Dan, editor, and Scheunders, Paul, editor

Published
2010
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13. Combined Retrieval Strategies for Images with and without Distinct Objects

Author

Fu, Hong, Chi, Zheru, Feng, Dagan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Blanc-Talon, Jacques, editor, Bone, Don, editor, Philips, Wilfried, editor, Popescu, Dan, editor, and Scheunders, Paul, editor

Published
2010
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14. A Novel Shape-Based Image Classification Method by Featuring Radius Histogram of Dilating Discs Filled into Regular and Irregular Shapes

Author

Zhao, Xiaoyu, Xu, Chi, Chi, Zheru, Feng, Dagan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Wong, Kok Wai, editor, Mendis, B. Sumudu U., editor, and Bouzerdoum, Abdesselam, editor

Published
2010
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15. Adaptive System of Heterogeneous Multi-agent Investors in an Artificial Evolutionary Double Auction Market

Author

Xu, Chi, Zhao, Xiaoyu, Chi, Zheru, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Tan, Ying, editor, Shi, Yuhui, editor, and Tan, Kay Chen, editor

Published
2010
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16. Face Recognition Based on Binary Template Matching

Author

Song, Jiatao, Chen, Beijing, Chi, Zheru, Qiu, Xuena, Wang, Wei, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Huang, De-Shuang, editor, Heutte, Laurent, editor, and Loog, Marco, editor

Published
2007
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17. Pattern-Oriented Agent-Based Modeling for Financial Market Simulation

Author

Xu, Chi, Chi, Zheru, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Liu, Derong, editor, Fei, Shumin, editor, Hou, Zeng-Guang, editor, Zhang, Huaguang, editor, and Sun, Changyin, editor

Published
2007
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18. Blob Tracking with Adaptive Feature Selection and Accurate Scale Determination

Author

Jia, Jingping, Feng, David, Chai, Yanmei, Zhao, Rongchun, Chi, Zheru, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Remagnino, Paolo, editor, Nefian, Ara, editor, Meenakshisundaram, Gopi, editor, Pascucci, Valerio, editor, Zara, Jiri, editor, Molineros, Jose, editor, Theisel, Holger, editor, and Malzbender, Tom, editor

Published
2006
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19. Structured-Based Neural Network Classification of Images Using Wavelet Coefficients

Author

Zou, Weibao, Lo, King Chuen, Chi, Zheru, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Yi, Zhang, editor, Zurada, Jacek M., editor, Lu, Bao-Liang, editor, and Yin, Hujun, editor

Published
2006
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20. Scene Classification Using Adaptive Processing of Tree Representation of Rectangular-Shape Partition of Images

Author

Sun, Wei, Lo, Ken, Chi, Zheru, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Liao, Xiao-Feng, editor, and Yi, Zhang, editor

Published
2005
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21. Locating Human Eyes Using Edge and Intensity Information

Author

Song, Jiatao, Chi, Zheru, Wang, Zhengyou, Wang, Wei, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Huang, De-Shuang, editor, Zhang, Xiao-Ping, editor, and Huang, Guang-Bin, editor

Published
2005
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40. Zeroing polynomials using modified constrained neural network approach

Author

Huang, De-Shuang, Ip, Horace H.S., Law, Ken Chee Keung, and Chi, Zheru

Subjects
Laguerre polynomials -- Analysis, Neural networks -- Analysis, Algorithms -- Analysis, Neural network, Algorithm, Business, Computers, Electronics, Electronics and electrical industries
Abstract

This paper proposes new modified constrained learning neural root finders (NRFs) of polynomial constructed by backpropagation network (BPN). The technique is based on the relationships between the roots and the coefficients of polynomial as well as between the root moments and the coefficients of the polynomial. We investigated different resulting constrained learning algorithms (CLAs) based on the variants of the error cost functions (ECFs) in the constrained BPN and derived a new modified CLA (MCLA), and found that the computational complexities of the CLA and the MCLA based on the root-moment method (RMM) are the order of polynomial, and that the MCLA is simpler than the CLA. Further, we also discussed the effects of the different parameters with the CLA and the MCLA on the NRFs. In particular, considering the coefficients of the polynomials involved in practice to possibly be perturbed by noisy sources, thus, we also evaluated and discussed the effects of noises on the two NRFs. Finally, to demonstrate the advantage of our neural approaches over the nonneural ones, a series of simulating experiments are conducted. Index Terms--Backpropagation networks (BPNs), computational complexity, Laguerre's and Muller's methods, modified constrained learning algorithm (MCLA), perturbation, polynomials, root finder.

Published
2005

42. Genetic evolution processing of data structures for image classification

Author

Cho, Siu-Yeung and Chi, Zheru

Subjects
Neural networks -- Research, Electronic data processing -- Research, Neural network, Business, Computers, Electronics, Electronics and electrical industries
Abstract

This paper describes a method of structural pattern recognition based on a genetic evolution processing of data structures with neural networks representation. Conventionally, one of the most popular learning formulations of data structure processing is Backpropagation Through Structures (BPTS) [7]. The BPTS algorithm has been successfully applied to a number of learning tasks that involved structural patterns such as image, shape, and texture classifications. However, this BPTS typed algorithm suffers from the long-term dependency problem in learning very deep tree structures. In this paper, we propose the genetic evolution for this data structures processing. The idea of this algorithm is to tune the learning parameters by the genetic evolution with specified chromosome structures. Also, the fitness evaluation as well as the adaptive crossover and mutation for this structural genetic processing are investigated in this paper. An application to flowers image classification by a structural representation is provided for the validation of our method. The obtained results significantly support the capabilities of our proposed approach to classify and recognize flowers in terms of generalization and noise robustness. Index Terms--Adaptive processing of data structures, genetic algorithm, image classification, and neural networks.

Published
2005

44. Tracer kinetic modeling of [sup.11]C-acetate applied in the liver with positron emission tomography

Author

Chen, Sirong, Ho, Chilai, Feng, Dagan, and Chi, Zheru

Subjects
PET imaging -- Research, Business, Electronics, Electronics and electrical industries, Health care industry
Abstract

It is well known that 40%-50% of hepatocellular carcinoma (HCC) do not show increased 18F-fluorodeoxyglucose (FDG) uptake. Recent research studies have demonstrated that [sup.11]C-acetate may be a complementary tracer to FDG in positron emission tomography (PET) imaging of HCC in the liver. Quantitative dynamic modeling is, therefore, conducted to evaluate the kinetic characteristics of this tracer in HCC and nontumor liver tissue. A three-compartment model consisting of four parameters with dual inputs is proposed and compared with that of five parameters. Twelve regions of dynamic datasets of the liver extracted from six patients are used to test the models. Estimation of the adequacy of these models is based on Akaike Information Criteria (AIC) and Schwarz Criteria (SC) by statistical study. The forward clearance K = [K.sub.1] * [k.sub.3]/([k.sub.2] + [k.sub.3]) is estimated and defined as a new parameter called the local hepatic metabolic rate-constant of acetate (LHMRAct) using both the weighted nonlinear least squares (NLS) and the linear Patlak methods. Preliminary results show that the LHMRAct of the HCC is significantly higher than that of the nontumor liver tissue. These model parameters provide quantitative evidence and understanding on the kinetic basis of [sup.11]C-acetate for its potential role in the imaging of HCC using PET. Index Terms--local hepatic metabolic rate-constant of acetate (LHMRAct), modeling, parameter estimation, positron emission tomography (PET), [sup.11]C-acetate.

Published
2004

45. Document image recognition based on template matching of component block projections

Author

Peng, Hanchuan, Long, Fuhui, and Chi, Zheru

Subjects
Document processing system, Document management systems -- Research, Machine vision -- Research
Abstract

Document Image Recognition (DIR), a very useful technique in office automation and digital library applications, is to find the most similar template for any input document image in a prestored template document image data set. Existing methods use both local features and global layout information. In this paper, we propose a novel algorithm based on the global matching of Component Block Projections (CBP), which are the concatenated directional projection vectors of the component blocks of a document image. Compared to those existing methods, CBP-based template-matching methods possess two major advantages: 1) The spatial relationship among the component blocks of a document image is better represented, hence a very high matching accuracy can be obtained even for a large template set and seriously distorted input images; and 2) the effective matching distance of each template and the triangle inequality are proposed to significantly reduce the computational cost. Our experimental results confirm these advantages and show that the CBP-based template-matching methods are very suitable for DIR applications. Index Terms--Document image recognition, template matching, component block projection.

Published
2003

46. An improved algorithm for learning long-term dependency problems in adaptive processing of data structures

Author

Cho, Siu-Yeung, Chi, Zheru, Siu, Wan-Chi, and Tsoi, Ah Chung

Subjects
Neural networks -- Research, Neural network, Business, Computers, Electronics, Electronics and electrical industries
Abstract

For the past decade, many researchers have explored the use of neural-network representations for the adaptive processing of data structures. One of the most popular learning formulations of data structure processing is backpropagation through structure (BPTS). The BPTS algorithm has been successful applied to a number of learning tasks that involve structural patterns such as logo and natural scene classification. The main limitations of the BPTS algorithm are attributed to slow convergence speed and the long-term dependency problem for the adaptive processing of data structures. In this paper, an improved algorithm is proposed to solve these problems. The idea of this algorithm is to optimize the free learning parameters of the neural network in the node representation by using least-squares-based optimization methods in a layer-by-layer fashion. Not only can fast convergence speed be achieved, but the long-term dependency problem can also be overcome since the vanishing of gradient information is avoided when our approach is applied to very deep tree structures. Index Terms--Adaptive processing of data structures, backpropagation through structure (BPTS), least-squares method, long-term dependency.

Published
2003

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