Tiantian Wang
PhD Candidate
Electrical Engineering and Computer Science Department, UC Merced.
Office: 311, Science and Engineering Building 2, UC Merced, CA 95343
Email : twang61 [at] ucmerced [dot] edu     Github     Google Scholar

About Me

I am a fifth-year Ph.D. student of Vision and Learning Lab in the Department of Electrical Science and Computer Engineering, advised by Prof. Ming-Hsuan Yang. My research interest includes deep learning, machine learning and their applications in computer vision and computer graphics. For more information, please see my CV.

News

  • 2018.08: Begin my new study journey in UC Merced.

Publications

Conference

  • Tiantian Wang, Nikolaos Sarafianos, Ming-Hsuan Yang, Tony Tung. Neural Rendering of Humans in Novel View and Pose from Monocular Video. [arXiv][code]
  • Tiantian Wang, Sifei Liu, Kai Li, Yapeng Tian, Ming-Hsuan Yang. Video Matting via Consistency-Regularized Graph Neural Networks. International Conference on Computer Vision (ICCV), 2021. [PDF][code]
  • Tiantian Wang, Yongri Piao, Xiao Li, Lihe Zhang, Huchuan Lu. Deep Learning for Light Field Saliency Detection. International Conference on Computer Vision (ICCV), 2019. [PDF][code]
  • Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, Ming-Hsuan Yang. Referring Expression Object Segmentation with Caption-Aware Consistency. British Machine Vision Conference (BMVC), 2019. [PDF][code]
  • Tiantian Wang, Lihe Zhang, Shuo Wang, Huchuan Lu, Gang Yang, Xiang Ruan, Ali Borji. Detect Globally, Refine Locally: A Novel Approach to Saliency Detection. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF] [code]
  • Xiaoning Zhang*, Tiantian Wang*, Lihe Zhang, Shuo Wang, Huchuan Lu, Gang Yang, Xiang Ruan, Ali Borji. Progressive Attention Guided Recurrent Network for Salient Object Detection. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF][code] (* denotes equal contribution)
  • Tiantian Wang, Ali Borji, Lihe Zhang, Pingping Zhang, Huchuan Lu. A Stagewise Refinement Model for Detecting Salient Objects in Images. International Conference on Computer Vision (ICCV), 2017. [PDF] [Code]
  • Tiantian Wang, Ali Borji, Lihe Zhang, Pingping Zhang, Huchuan Lu. Kernelized Subspace Ranking for Saliency Detection. European Conference on Computer Vision (ECCV), 2017. [PDF] [Code]

Journal

  • Lihe Zhang, Xiang Fang, Hongguang Bo, Tiantian Wang, Huchuan Lu Deep Multi-Level Networks with Multi-Task Learning for Saliency Detection. (Neurocomputing), 2019. [PDF][code]
  • Lihe Zhang, Xiang Fang, Hongguang Bo, Tiantian Wang, Huchuan Lu Multi-scale Pyramid Pooling Network for Salient Object Detection. (Neurocomputing), 2018. [PDF][code]
  • Dakhia Abdelhafid, Tiantian Wang, Huchuan Lu A Hybrid-Backward Renement Model for Salient Object Detection. (Neurocomputing), 2018. [PDF][code]
  • Wenlong Guan, Tiantian Wang, Jinqing Qi, Lihe Zhang, Huchuan Lu Edge-Aware Convolution Neural Network Based Salient Object Detection. (IEEE SPL), 2019. [PDF][code]
  • Lihe Zhang, Jie Wu, Tiantian Wang, Pingping Zhang, Ali Borji, Huchuan Lu A Multi-Stage Refinement Network for Salient Object Detection (IEEE TIP), 2019. [PDF][code]

Selected Awards

  • Excellent Postgraduate of Dalian City, 2018.
  • Excellent Graduate of Dalian University of Technology, 2015.

Professonal Activities

  • Reviewer for ICLR, NeurIPS, ECCV, CVPR, ICCV, AAAI, IJCAI, WACV
  • Reviewer for IJCV, TIP, TNNLS, PR, TMM