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2,518 results on '"Pan Zhigeng"'

1. Human pose evaluation based on full-domain convolution and LSTM

Author

Zou Yu, Pan Zhigeng, Zhou Xianchun, and Wang Yixuan

Subjects
full domain convolution, lstm, bone structure skeleton, human pose assessment, convolutional neural network, 78-02, Mathematics, QA1-939
Abstract

In this paper, we first analyze full domain convolution and LSTM to evaluate human pose by convolutional neural network and LSTM network. Secondly, graph structure skeleton image and skeleton point image classifier based on CNN and LSTM is constructed. The two-dimensional pose assessment method and three-dimensional pose assessment method were used to empirically analyze the human pose assessment. The results show that the average accuracy mAP values of the traditional evaluation methods are 69.7, 72.3, 71.4, and 74.4, respectively, while the average accuracy mAP value of the method used for 2D pose evaluation is 74.6. Where the average error of LReLU is the smallest. This shows that full-domain convolution and LSTM can be effective for human pose evaluation.

Published
2024
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11. Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation

Author

Li, Zheng, Li, Xiang, Yang, Lingfeng, Yang, Jian, and Pan, Zhigeng

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Knowledge distillation usually transfers the knowledge from a pre-trained cumbersome teacher network to a compact student network, which follows the classical teacher-teaching-student paradigm. Based on this paradigm, previous methods mostly focus on how to efficiently train a better student network for deployment. Different from the existing practices, in this paper, we propose a novel student-helping-teacher formula, Teacher Evolution via Self-Knowledge Distillation (TESKD), where the target teacher (for deployment) is learned with the help of multiple hierarchical students by sharing the structural backbone. The diverse feedback from multiple students allows the teacher to improve itself through the shared feature representations. The effectiveness of our proposed framework is demonstrated by extensive experiments with various network settings on two standard benchmarks including CIFAR-100 and ImageNet. Notably, when trained together with our proposed method, ResNet-18 achieves 79.15% and 71.14% accuracy on CIFAR-100 and ImageNet, outperforming the baseline results by 4.74% and 1.43%, respectively. The code is available at: https://github.com/zhengli427/TESKD.

Published
2021

12. Online Knowledge Distillation for Efficient Pose Estimation

Author

Li, Zheng, Ye, Jingwen, Song, Mingli, Huang, Ying, and Pan, Zhigeng

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Existing state-of-the-art human pose estimation methods require heavy computational resources for accurate predictions. One promising technique to obtain an accurate yet lightweight pose estimator is knowledge distillation, which distills the pose knowledge from a powerful teacher model to a less-parameterized student model. However, existing pose distillation works rely on a heavy pre-trained estimator to perform knowledge transfer and require a complex two-stage learning procedure. In this work, we investigate a novel Online Knowledge Distillation framework by distilling Human Pose structure knowledge in a one-stage manner to guarantee the distillation efficiency, termed OKDHP. Specifically, OKDHP trains a single multi-branch network and acquires the predicted heatmaps from each, which are then assembled by a Feature Aggregation Unit (FAU) as the target heatmaps to teach each branch in reverse. Instead of simply averaging the heatmaps, FAU which consists of multiple parallel transformations with different receptive fields, leverages the multi-scale information, thus obtains target heatmaps with higher-quality. Specifically, the pixel-wise Kullback-Leibler (KL) divergence is utilized to minimize the discrepancy between the target heatmaps and the predicted ones, which enables the student network to learn the implicit keypoint relationship. Besides, an unbalanced OKDHP scheme is introduced to customize the student networks with different compression rates. The effectiveness of our approach is demonstrated by extensive experiments on two common benchmark datasets, MPII and COCO., Comment: ICCV 2021

Published
2021

16. An Experiment Aiding System Driven by Eye Movement in Mixed Reality

Author

Pan, Zhigeng, Liu, Jiaxin, Yuan, Qingshu, Shou, Kailiang, Zeng, Yuxin, Wang, Zihan, Zhu, Luxiao, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Hong, Wenxing, editor, and Weng, Yang, editor

Published
2023
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17. Trimodal Fusion Network Combined Global-Local Feature Extraction Strategy and Spatial-Frequency Fusion Strategy

Author

Yao, Danyang, Wen, Jinyu, Chen, Amei, Fang, Meie, Wei, Xinhua, Pan, Zhigeng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Xu, Yuan, editor, Yan, Hongyang, editor, Teng, Huang, editor, Cai, Jun, editor, and Li, Jin, editor

Published
2023
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19. Online Knowledge Distillation via Multi-branch Diversity Enhancement

Author

Li, Zheng, Huang, Ying, Chen, Defang, Luo, Tianren, Cai, Ning, and Pan, Zhigeng

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Knowledge distillation is an effective method to transfer the knowledge from the cumbersome teacher model to the lightweight student model. Online knowledge distillation uses the ensembled prediction results of multiple student models as soft targets to train each student model. However, the homogenization problem will lead to difficulty in further improving model performance. In this work, we propose a new distillation method to enhance the diversity among multiple student models. We introduce Feature Fusion Module (FFM), which improves the performance of the attention mechanism in the network by integrating rich semantic information contained in the last block of multiple student models. Furthermore, we use the Classifier Diversification(CD) loss function to strengthen the differences between the student models and deliver a better ensemble result. Extensive experiments proved that our method significantly enhances the diversity among student models and brings better distillation performance. We evaluate our method on three image classification datasets: CIFAR-10/100 and CINIC-10. The results show that our method achieves state-of-the-art performance on these datasets., Comment: ACCV 2020

Published
2020

29. SimuMan: A Simultaneous Real-Time Method for Representing Motions and Emotions of Virtual Human in Metaverse

Author

Zhang, Mingmin, Wang, Yuan, Zhou, Jiehan, Pan, Zhigeng, 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, Tekinerdogan, Bedir, editor, Wang, Yingwei, editor, and Zhang, Liang-Jie, editor

Published
2022
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32. The Research and Design of 3D Visualization Route Display System Based on osgEarth

Author

Chen, Lilong, Qiu, Guopeng, Song, Jianwen, Pan, Zhigeng, 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, Pan, Zhigeng, editor, Cheok, Adrian David, editor, Müller, Wolfgang, editor, and Zhang, Mingmin, editor

Published
2020
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33. Context Construction and Virtual Human Based Intelligent Navigation in Virtual Experiment

Author

Pan, Zhigeng, Yu, Dan, Li, Yongheng, Cao, Mingliang, 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, Pan, Zhigeng, editor, Cheok, Adrian David, editor, Müller, Wolfgang, editor, and Zhang, Mingmin, editor

Published
2020
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34. Human Skeleton Control with the Face Expression Changed Synchronously

Author

Jing, YueKun, Wang, CongCong, Pan, ZhiGeng, Yao, ZhenWei, Zhang, MingMin, 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, Pan, Zhigeng, editor, Cheok, Adrian David, editor, Müller, Wolfgang, editor, and Zhang, Mingmin, editor

Published
2020
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35. A Virtual Reality Training System for Flood Security

Author

Dai, Rui, Fan, Zizhen, Pan, Zhigeng, 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, Pan, Zhigeng, editor, Cheok, Adrian David, editor, Müller, Wolfgang, editor, and Zhang, Mingmin, editor

Published
2020
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36. Interactive Virtual Bracket Positioning Method in Orthodontics

Author

Qu, Wenqin, Fan, Ran, Pan, Zhigeng, 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, Pan, Zhigeng, editor, Cheok, Adrian David, editor, Müller, Wolfgang, editor, and Zhang, Mingmin, editor

Published
2020
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37. VR-DLR: A Serious Game of Somatosensory Driving Applied to Limb Rehabilitation Training

Author

Luo, Tianren, Cai, Ning, Li, Zheng, Pan, Zhigeng, Yuan, Qingshu, 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, Nunes, Nuno J., editor, Ma, Lizhuang, editor, Wang, Meili, editor, Correia, Nuno, editor, and Pan, Zhigeng, editor

Published
2020
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42. Exploring the Design Space of Immersive Urban Analytics

Author

Zhu-Tian, Chen, Wang, Yifang, Sun, Tianchen, Gao, Xiang, Chen, Wei, Pan, Zhigeng, Qu, Huamin, and Wu, Yingcai

Subjects
Computer Science - Graphics, Computer Science - Human-Computer Interaction
Abstract

Recent years have witnessed the rapid development and wide adoption of immersive head-mounted devices, such as HTC VIVE, Oculus Rift, and Microsoft HoloLens. These immersive devices have the potential to significantly extend the methodology of urban visual analytics by providing critical 3D context information and creating a sense of presence. In this paper, we propose an theoretical model to characterize the visualizations in immersive urban analytics. Further more, based on our comprehensive and concise model, we contribute a typology of combination methods of 2D and 3D visualizations that distinguish between linked views, embedded views, and mixed views. We also propose a supporting guideline to assist users in selecting a proper view under certain circumstances by considering visual geometry and spatial distribution of the 2D and 3D visualizations. Finally, based on existing works, possible future research opportunities are explored and discussed., Comment: 23 pages,11 figures

Published
2017

43. ECG Arrhythmia Heartbeat Classification Using Deep Learning Networks

Author

Yang, Yuxi, Jin, Linpeng, Pan, Zhigeng, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Qi, Lianyong, editor, Khosravi, Mohammad R., editor, Xu, Xiaolong, editor, Zhang, Yiwen, editor, and Menon, Varun G., editor

Published
2021
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44. Online Knowledge Distillation via Multi-branch Diversity Enhancement

Author

Li, Zheng, Huang, Ying, Chen, Defang, Luo, Tianren, Cai, Ning, Pan, Zhigeng, 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, Ishikawa, Hiroshi, editor, Liu, Cheng-Lin, editor, Pajdla, Tomas, editor, and Shi, Jianbo, editor

Published
2021
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46. Human Eye Tracking Based on CNN and Kalman Filtering

Author

Pan, Zhigeng, Liu, Rongfei, Zhang, Mingmin, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Pan, Zhigeng, editor, Cheok, Adrian David, editor, Müller, Wolfgang, editor, Zhang, Mingmin, editor, El Rhalibi, Abdennour, editor, and Kifayat, Kashif, editor

Published
2019
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47. Research on Teaching Experiment of Color and Digital Color

Author

Song, JianWen, Ma, ZheFeng, Song, Peng, Pan, ZhiGeng, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Pan, Zhigeng, editor, Cheok, Adrian David, editor, Müller, Wolfgang, editor, Zhang, Mingmin, editor, El Rhalibi, Abdennour, editor, and Kifayat, Kashif, editor

Published
2019
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48. Virtual Training and Experience System for Public Security Education

Author

Pan, Zhigeng, Zong, Yi, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Pan, Zhigeng, editor, Cheok, Adrian David, editor, Müller, Wolfgang, editor, Zhang, Mingmin, editor, El Rhalibi, Abdennour, editor, and Kifayat, Kashif, editor

Published
2019
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