Wenguan Wang's Home Page

ABOUT ME

Currently I am a research scientist in IIAI.

2016-2018, I was a joint Ph.D. student at Center for Vision, Cognition, Learning and Autonomy of University of California, Los Angeles, under the supervision of Prof. Song-Chun Zhu.

2014-2018, I was a Ph.D. student at Beijing Laboratory of Intelligent Information Technology, Beijing Institute of Technology, under the supervision of Prof. Jianbing Shen.

Email address: wenguanwang.ai[at]gmail.com

Other links: Google Scholar, ResearchGate, GitHub...

Chinese name: 王文冠

I am looking for prospective interns. Please contact me if you are interested in working on frontier computer vision topics.

RESEARCH INTEREST

  • Image and Video Analysis: image/video segmentation, salient object detection, visual attention prediction, object tracking
  • Human-Centric Parsing: 2D/3D pose estimation, human-object interaction, human attribute recognition
  • Deep Learning: CNN, RNN/LSTM, Graph Neural Network
  • Graphical Models: And-Or-Graph model, MRF/CRF
  • Computer Graphics: photo aesthetics analysis, photo cropping

PUBLICATION

2018


  • Learning human-object interactions by graph parsing neural networks

S. Qi*, W. Wang*, B. Jia, J. Shen, and S.-C. Zhu. ECCV, 2018

  • Pyramid dilated deeper convLSTM for video salient object detection

H. Song*, W. Wang*, S. Zhao, J. Shen, and K.-M. Lam. ECCV, 2018

  • A deep network solution for attention and aesthetics aware photo cropping

W. Wang, J. Shen, and H. Ling. IEEE TPAMI, 2018

  • Semi-supervised video object segmentation with super-trajectories

W. Wang, J. Shen, F. Porikli, and R. Yang. IEEE TPAMI, 2018

  • Attentive fashion grammar network for fashion landmark detection and clothing category classification

W. Wang*, Y. Xu*, J. Shen, and S.-C. Zhu. IEEE CVPR, 2018

  • Revisiting video saliency: A large-scale benchmark and a new model

W. Wang, J. Shen, F. Guo, M.-M. Cheng, and A. Borji. IEEE CVPR, 2018

  • Salient object detection driven by fixation prediction

W. Wang, J. Shen and A. Borji. IEEE CVPR, 2018

  • Hyperparameter optimization for tracking with continuous deep Q-learning

X. Dong, J. Shen, W. Wang, Y. Liu, L. Shao, and F. Porikli. IEEE CVPR, 2018

  • Inferring shared attention in social scene videos

L. Fan, Y. Chen, P. Wei, W. Wang, and S.-C. Zhu. IEEE CVPR, 2018

  • Learning descriptor networks for 3D shape synthesis and analysis

J. Xie, Z. Zheng, R. Gao, W. Wang, S.-C Zhu, and Y.-N. Wu. IEEE CVPR, 2018 (oral)

  • Learning pose grammar to encode human body configuration for 3D pose estimation

H. -S. Fang*, Y. Xu*, W. Wang*, X. Liu, and S.-C. Zhu. AAAI, 2018 (oral) [pdf]

  • Examining CNN representations with respect to dataset bias

Q. Zhang, W. Wang, and S.-C. Zhu. AAAI, 2018 [pdf]

  • Video salient object detection via fully convolutional networks

W. Wang, J. Shen, and L. Shao. IEEE TIP, 2018 (Selected in ESI: Hot paper+Highly cited)

  • Deep visual attention prediction

W. Wang, and J. Shen. IEEE TIP, 2018

  • Stereo video object segmentation using stereoscopic foreground trajectories

C. Liu, W. Wang, J. Shen, and L. Shao. IEEE TCYB, 2018


2017


  • Saliency-aware video object segmentation

W. Wang, J. Shen, R. Yang, and F. Porikli. IEEE TPAMI, 2017 (Selected in ESI) [code]

  • Deep cropping via attention box prediction and aesthetics assessment

W. Wang, and J. Shen. IEEE ICCV, 2017

  • Super-trajecotry for video segmentation

W. Wang, J. Shen, J. Xie, and F. Porikli. IEEE ICCV, 2017

  • Selective video object cutout

W. Wang, J. Shen, and F. Porikli. IEEE TIP, 2017

  • Video co-saliency guided co-segmentation

W. Wang, J. Shen, H. Sun, and L. Shao. IEEE TCSVT, 2017

  • Better dense trajectories by motion in videos

L. Y, J. Shen, W. Wang, H. Sun, and L. Shao. IEEE TCYB, 2017

  • Video saliency detection using object proposals

F. Guo, W. Wang, J. Shen, L. Shao, D. Tao, Y.-Y. Tang . IEEE TCYB, 2017 [code]


2016


  • Occlusion-aware real-time object tracking

X. Dong, J. Shen, D. Yu, W. Wang, J. Liu, and H. Huang. IEEE TMM, 2016 [pdf] [code]

  • Real-time superpixel segmentation by DBSCAN clustering algorithm

J. Shen, X. Hao, Z. Liang, Y. Liu, W. Wang, and L. Shao. IEEE TIP, 2016 [pdf] [code]

  • Stereoscopic thumbnail creation via efficient stereo saliency detection

W. Wang, J. Shen, Y. Yu, and K-L. Ma. IEEE TVCG, 2016 [pdf] [code]

  • Correspondence driven saliency transfer

W. Wang, J. Shen, L. Shao, and F. Porikli. IEEE TIP, 2016 [pdf] [code]

  • Higher-order image co-segmentation

W. Wang and J. Shen. IEEE TMM, 2016 [pdf] [code]


2015 and Before


  • Saliency-aware geodesic video object segmentation

W. Wang, J. Shen, and F. Porikli. IEEE CVPR, 2015 [pdf] [code]

  • Consistent video saliency using local gradient flow optimization and global refinement

W. Wang, J. Shen, and L. Shao. IEEE TIP, 2015 (Selected in ESI) [pdf] [code]

  • Robust video object co-segmentation

W. Wang, J. Shen, X. Li, and F. Porikli. IEEE TIP, 2015 (Selected in ESI) [pdf] [code]

  • Video object segmentation via dense trajectories

L. Chen, J. Shen, W. Wang, and B. Ni. IEEE TMM, 2015 [pdf]

  • Lazy random walks for superpixel segmentation

J. Shen, Y. Du, W. Wang, and X. Li. IEEE TIP, 2014 (Selected in ESI) [pdf] [code]

SERVICES

  • Regular reviewer for CVPR 2016-2019, ICRA 2018, ACCV 2018.
  • Regular reviewer for T-PAMI, IJCV, T-IP, T-VCG, T-MM, T-CSVT, CVIU, TETCI.
  • Regular reviewer for ACM TIST, Neurocomputing, PR, SPL, JVCI, JEI, IMAVIS, ROBOT.

AWARDS & HONORS (Selected)

  • 2018 Beijing Excellent Students Awards (Beijing Education Committee)
  • 2018 Excellent Doctoral Dissertation Award (Beijing Institute of Technology)
  • 2017 Scholarship of Innovation (Chinese Ministry of Industry and Information Technology)
  • 2017 National Scholarship (Chinese Ministry of Education)
  • 2016 Baidu Scholarship (Baidu Inc., 10 out of 10,000+ candidates around the world)
  • 2016 Scholarship of Innovation (Chinese Ministry of Industry and Information Technology)
  • 2016 National Scholarship (Chinese Ministry of Education)
  • 2016 Best Research Innovation Award (Beijing Institute of Technology, 1 out of the whole university)
  • 2016 XuTeLi Fellowship (Beijing Institute of Technology, the highest honor in BIT)
  • 2015 National Scholarship (Chinese Ministry of Education)
  • 2015 XuTeLi Fellowship (Beijing Institute of Technology, the highest honor in BIT)