Welcome to visit Pichao Wang's Homepage!


                
PichaWang (丕超, Peter Wang), PhD
Email: pichaowang@ gmail.com   Goolge Scholar ResearchGate

News:
I am recruiting PhD students co-supervised by A/Prof. Wanqing Li. If you are interested in the research in the fields of Machine Learning, Pattern Recognition and Computer Vision, please be free to send me an email  about your background and interest.  We can discuss the potential research topics. If you are going to pursue a higher degree, please submit the application through the UOW application system. The scholarship information can be found from here

5. 2018-6-8: I have been invited to be a technical program committee member (TPC) for the 14th Asian Conference on Computer Vision (ACCV 2018),Perth, Australia, December 2-6, 2018. 
4. 2018-6-7: I have been invited to be a technical program committee member (TPC) for the IEEE Winter Conference on Applications of Computer Vision (WACV 2019), Waikoloa Village, Hawaii, January 7-11, 2019.
3. 2018-1-30: I have been invited to be a technical program committee member (TPC) for the 27th International Joint Conference on Artificial Intelligence (IJCAI’2018), Stockholm, Sweden, July 13-19, 2018.
2. 2017-12-07: I have been invited to be a technical program committee member (TPC) for the IEEE International Conference on Multimedia and Expo (ICME 2018), San Diego, USA, July 23-27, 2018.
1. 2017-11-18: I have been invited to be a technical program committee member (TPC) for the   2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, Utah, USA, June 18 - 22,2018.

Biography

I received my B.E. in Network Engineering from Nanchang University (Qianhu Campus), China, in 2010,  M.E. in Information and Communication Engineering from Tianjin University, China, in 2013, supervised by A/Prof. Yonghong Hou, and  Ph.D in Computer Science from University of Wollongong, Australia, in 2017, supervised by A/Prof. Wanqing Li and Prof. Philip Ogunbona

Research Interests:

· Computer Vision · Deep Learning · Human Motion Analysis · Video Coding


Programming Skills:

 Matlab/C/C++/Python/CUDA

Selected Awards and Honors

9. May. 2018, EIS Faculty Postgraduate Thesis Award.

8. Aug. 2017, Second Prize, Action, Gesture, and Emotion Recognition Workshop and Competitions: Large Scale Multimodal Gesture Recognition and Real versus Fake expressed emotions@ICCV2017

7. Apr. 2017 First Prize (Winner), Large Scale 3D Human Activity Analysis Challenge in Depth Video@ICME2017

6. Dec. 2016 Second Prize, Joint Contest on Multimedia Challenges Beyond Visual Analysis@ICPR2016

5. Dec. 2016 Third Prize, Joint Contest on Multimedia Challenges Beyond Visual Analysis@ICPR2016

4. Dec. 2016 ChaLearn Travel Grants@ICPR2016

3. Oct.  2015 ACM MM 2015 Student Travel Award

2. Jan. 2013 Excellent Postgraduate Award

1. Dec. 2011 Excellent Prize, National Campus CUDA Programming Contest. [certificate]

Publications:

Ph.D. Dissertation

Action Recognition from RGB-D Data. The University of  Wollongong, 2017. (Best Postgraduate Thesis Award) 

Conference Papers

14. Pichao Wang, Wanqing Li, Jun Wan, Philip Ogunbona, and Xinwang Liu,
"Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition"
AAAI2018. (Oral)[pdf][codes]

13.  Pichao Wang*, Shuang Wang*, Zhimin Gao, Yonghong Hou, and Wanqing Li, (* equal contribution)
"Structured Images for RGB-D Action Recognition "

12. Huogen Wang*, Pichao Wang*, Zhanjie Song, and Wanqing Li, (* equal contribution)
"Large-scale Multimodal Gesture Recognition Using Heterogeneous Networks "
ICCVW2017.[pdf][codes]

11. Huogen Wang*, Pichao Wang*, Zhanjie Song, and Wanqing Li, (* equal contribution)
"
Large-scale Multimodal Gesture Segmentation and Recognition based on Convolutional Neural Network"
ICCVW2017. [pdf][codes]

10. Pichao Wang, Wanqing Li, Zhimin Gao, Yuyao Zhang, Chang Tang, and Philip Ogunbona,
"Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks",
 CVPR2017.  [pdf] [codes]

9. Zewei Ding, Wanqing Li, Pichao Wang, Philip Ogunbona, and Ling Qin,
"Weakly Structured Information Aggregation for Upper-body Posture Assessment Using ConvNets",
ICME2017. [pdf] (oral)

8. Chuankun Li*,  Pichao Wang*,  Shuang Wang, Yonghong Hou and Wanqing Li, (* equal contribution)
"Skeleton-based Action Recognition Using LSTM and CNN",
in Large Scale 3D Human Activity Analysis Challenge in Depth Videos, ICMEW2017. [pdf] (rank the first place) [certificate]

7. Zewei Ding,  Pichao Wang*,  Philip Ogunbona, and Wanqing Li, (Corresponding author)
"Investigation of Different Skeleton Features for CNN-based 3D Action Recognition",
ICMEW2017. [pdf][codes]

 6. Pichao Wang, Wanqing Li, Song Liu, Yuyao Zhang, Zhimin Gao and Philip Ogunbona,
"Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks",
in ChaLearn Looking at People (LAP) Challenge, ICPR2016.  [pdf]  [codes] [certificate] (rank the third place)

5. Pichao Wang, Wanqing Li, Song Liu, Zhimin Gao, Chang Tang and Philip Ogunbona,
 "Large-scale Isolated Gesture Recognition Using Convolutional Neural Networks",
in ChaLearn
Looking at People (LAP) Challenge, ICPR2016.
[pdf] [codes] [certificate]  (rank the second place)

4. Jing Zhang, Wanqing Li, Pichao Wang, Philip Ogunbona, Song Liu and Chang Tang,
"A Large Scale RGB-D Dataset for Action Recognition",
 
UHA3DS workshop@ICPR2016. [pdf][dataset]

3.
Pichao Wang*, Zhaoyang Li*, Yonghong Hou  and Wanqing Li, (* denotes equally contributed)

"Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks"
ACM MM16.
[pdf] [codes]

2
Pichao WangWanqing LiZhimin GaoChang TangJing Zhang  and Philip Ogunbona,
"ConvNets-Based Action Recognition from Depth Maps Through Virtual Cameras and Pseudocoloring
"
ACM MM15. [pdf] [bib][poster] [codes]

1. Pichao Wang, Wanqing Li, Philip Ogunbona, Zhimin Gao and Hanling Zhang,

 "Mining Mid-level Features for Action Recognition Based on Effective Skeleton Representation"

DICTA2014. [pdf] [bib][poster] [codes]


Journal Articles

22. Chang Tang, Jiajia Chen, Xinwang Liu, Miaomiao Li, Pichao Wang, Minhui Wang, Peng Lu, 
"Consensus Learning Guided Multi-view Unsupervised Feature Selection",
Knowledge-Based Systems, Accepted on 28th, Jun 2018.

21. Xinzhong Zhu, Chang Tang, Pichao Wang, Huiying Xu, Minhui Wang, Jie Tian, 
"Saliency Detection via Affinity Graph Learning and Weighted Manifold Ranking", 
Neurocomputing, accepted on 2 Jun. 2018.

20. Pichao Wang, Wanqing Li, Chuankun Li and  Yonghong Hou ,
"Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks"
Knowledge-Based Systems, Accepted on 21th, May 2018. [pdf][codes]

19. Pichao WangWanqing Li, Philip Ogunbona, Jun Wan and Sergio Escalera,
"RGB-D-based Human Motion Recognition with Deep Learning: A Survey ",
Computer Vision and Image Understanding, Accepted on 25th Apr. 2018.

18. Pichao WangWanqing LiZhimin Gao, Chang Tangand Philip Ogunbona,
 "Depth  Pooling Based Large-scale 3D Action Recognition with Deep Convolutional Neural Networks"
 IEEE Transactions on Multimedia, Accepted on 18th Mar. 2018.[pdf][codes]

17. 
Chang Tang, Xinwang Liu, Miaomiao Li, Pichao Wang*, Jiajia Chen, Lizhe Wang,  and Wanqing Li, (*Corresponding author)
"Robust Unsupervised Feature Selection via Dual Self-representation and Manifold Regularisation"
Knowledge-based Systems, Accepted on 4 Jan. 2018.

16. Yonghong Hou, Shuang Wang,  Pichao Wang*, Zhimin Gao, and Wanqing Li, (* Corresponding author)
"
Spatially and Temporally Structured Global to Local Aggregation of Dynamic Depth Information for Action Recognition",
 IEEE Access, Accepted on 5 Dec. 2017. [codes]


15
Chang Tang, Xinzhong Zhu, Jiajia Chen, Pichao Wang, Xinwang Liu, Jie Tian, 
"Robust Graph Regularized Unsupervised Feature Selection"
Expert Systems With Applications, Accepted on 28 Nov, 2017.

14. Chuankun Li, Yonghong Hou, Pichao Wang*, and Wanqing Li, (*Corresponding author)
"Joint Distance Maps for Human Action Recognition with Convolutional Neural Networks"
,
IEEE Signal Processing Letters, Vol.  24, No. 5, pp. 624-628, May, 2017. [pdf][codes]

13. Yonghong Hou, Zhaoyang Li,  Pichao Wang* and Wanqing Li, (* Corresponding author)
"
Skeleton Optical Spectra Based Action Recognition Using Convolutional Neural Networks",

 IEEE Transactions on Circuits and Systems for Video Technology, Accepted on 8 Nov. 2016. [pdf][codes]

12. Pichao WangWanqing LiZhimin Gao, Jing Zhang,  Chang Tangand Philip Ogunbona,
 "Action Recognition from Depth Maps Using Deep Convolutional Neural Networks",  
 IEEE Transactions on Human Machine Systems, Vol. 46, No. 4, pp. 498-509, August, 2016. [pdf] [bib][codes]

11. Jing Zhang, Wanqing Li, Philip Ogunbona, Pichao Wang and Chang Tang, 
 "RGB-D based Action Recognition Datasets: A Survey",
Pattern Recognition,
Vol. 60, pp.86-105, Dec. 2016. [pdf] [bib]

10. Chang Tang, Pichao Wang,  Changqing Zhang,  and Wanqing Li,
"
Salient Object Detection via Weighted Low Rank Matrix Recovery",
IEEE Signal Processing Letters, Vol. 24, No. 4, pp. 490-494, April 2017.

9. Chang Tang, Jin Wu,Yonghong Hou, Pichao Wang and Wanqing Li,
"A spectral and spatial approach of coarse-to-fine blurred image region detection",
IEEE Signal Processing Letters, Vol. 23, No. 11, pp. 1652-1656, Sep. 2016.[paper] [codes]

8. Chang Tang, Chunping Hou, Yonghong Hou, Pichao Wang and  Wanqing Li,
"
An Effective Edge-preserving Smoothing Method for Image Manipulation",
Digital Signal Processing, Vol.63, pp.10-24, April 2017.[paper]

7. Chang Tang, Chunping Hou, Pichao Wang and Zhanjie Song, 
 "Salient object detection using color spatial distribution and minimum spanning tree weight",
 Multimedia Tools and Applications, Vol. 75, No.12, pp. 6963-6978, June 2016. [pdf] [bib]

6. Yonghong Hou, Pichao Wang, Wei Xiang, and Zhimin Gao, 
 “A Novel Rate Control Algorithm for Video Coding Based on Fuzzy-PID Controller”,
Signal, Image and Video Processing, 9 (4): 875-884, 2015. [pdf]

5. Pichao Wang, Lei You, Jing Tian, and Zhimin Gao, 
 “Word Document Decryption Based on GPU”,
 Information Technology,151-154, 04, 2013. 

4. Yonghong Hou, Pichao Wang, Wei Xiang, Xiaoming Zhao, Chunping Hou, 
“Ergodic Capacity Analysis of Spatially Modulated System”,
China Communications, Vol. 10, No.7,  pp. 118-125, July 2013. [pdf]

3. You Lei, Lei Jian-jun, and Wang Pichao,  
“Distributed Optimization Method for SVC Streaming in Wireless Multi-hop Networks”,
 Journal of Tianjin University, Vol. 46, No. 1, pp. 73-78, Jan. 2013.

2. Yonghong Hou, Zhimin Gao, Pichao Wang, and Chunping Hou,  
“PID-Based Bit Allocation Strategy in Asymmetric Stereoscopic Video Coding with Fuzzy Quality Controller”, 
Transations of Tianjin University,  19: 202-210, 2013.

1. Qing Wang, Hua Chen, Guohuang Zhao, Bin Chen, and Pichao Wang, 
“An Improved Direction Finding Algorithm Based on Toeplitz Approximation ”
,
Sensors, 13, 746-757, 2013. [pdf]



Academic Activities

Invited Journal Reviewer
1. PLoS One (since 2015)
2. IEEE Transactions on Image Processing (since 2016)
3. IEEE Transactions on Circuits and Systems for Video Technology (since 2016)
4. IET Computer Vision (since 2016)
5. Autonomous Robots (since 2016)
6.
Neurocomputing (since 2016)
7. IEEE Signal Processing Letters (since 2016)
8. IEEE Transactions on Cybernetics (since 2017)
9. Pattern Recognition (since 2017)
10. Journal of the Optical Society of America A (since 2017)
11. The Visual Computer (since 2017)
12. Journal of Visual Communication and Image Representation (since 2017) (outstanding reviewer, certificate)
13. Neuroinformatics (since 2017)
14. Soft Computing (since 2017)
15. Complexity (since 2017)
16. IEEE Access (since 2018)
17. Sensors (since 2018)
18. Remote Sensing (since 2018)
19. ACM Proceedings of IMWUT (since 2018)
20. IEEE Transactions on Neural Networks and Learning Systems (since 2018)
21. IEEE Transactions on Industrial Information (since 2018)
22. IEEE Transactions on Audio, Speech and Language Processing (since 2018) 


Conference Technical Program Committee Member:
1. ICCVW2017
2. CVPR2018
3. ICME2018
4. IJCAI2018
5. ACCV2018
6. WACV2019



Trips and Talks

4. ICME, Hongkong, China, July. 2017
3. ACM MM, Brisbane, Australia, Oct. 2015
2. DICTA, Wollongong, Australia, Nov. 2014
1. GTC ( GPU Technology Conference), invited travel, Beijing, China, Dec. 2011

2. " A Case Study for Deep Learning Based on Caffe", UOW invited talk on Deep Learning Workshop, Nov. 2014
1. "A brief introduction to CUDA", UOW invited talk, Wollongong, Australia, Feb. 2014



Work Experience

3. 2013.07-2013.11: I was employed  as a Software Engineer at Beijing Hanze Technology Co., ltd  and I was in charge of the development of software about video enhancement, including FFMpeg video decoding, video enhancement algorithms, denoising algorithms,  and H.264 coding by CUDA.

2. 2011.05-2011.12: I was employed as a Software Engineer at Beijing Maystar Information Technology Co., ltd , and I was in charge of decrypting the Office documents based on GPU.

1. 2010.07-2011.06: I participated a National High-tech R&D Program (863 Program) project at Institute of Wideband Wireless Communication and 3D Imaging (IWWC&3DI): Multi-view video acquisition and demonstration system (2009AA011507). I was in charge of adaptive definition adjustment and format conversion in 3D video network and implemented the 3D video combination algorithm using paralleled methods based on CUDA.