Tiantian Wang
Tiantian Wang
PhD Graduate
Electrical Engineering and Computer Science, University of California MercedEECS, UC Merced
Office: Science and Engineering Building 2, UC Merced, CA 95343
Email : twang61 [at] ucmerced [dot] edu

About Me

I am a Ph.D. graduate in the Vision and Learning Lab, under the guidance of Prof. Ming-Hsuan Yang. My research focuses on deep learning and machine learning for computer vision and computer graphics, with an emphasis on multi-view video generation using generative AI and 3D/4D modeling techniques. CV.

Publications

  • [arXiv '26] Human Video Generation from a Single Image with 3D Pose and View Control.
    Tiantian Wang, Chun-Han Yao, Tao Hu, Mallikarjun Byrasandra Ramalinga Reddy, Ming-Hsuan Yang, Varun Jampani.
    arXiv preprint, 2026.
    pdf
  • [CVIU '24] Towards 4D Human Video Stylization.
    Tiantian Wang, Xinxin Zuo, Fangzhou Mu, Jian Wang, Ming-Hsuan Yang.
    Computer Vision and Image Understanding (CVIU), 2024.
    pdf
  • [arXiv '22] Neural Rendering of Humans in Novel View and Pose from Monocular Video.
    Tiantian Wang, Nikolaos Sarafianos, Ming-Hsuan Yang, Tony Tung.
    arXiv preprint, 2022.
    pdf
  • [ICCV '21] Video Matting via Consistency-Regularized Graph Neural Networks.
    Tiantian Wang, Sifei Liu, Kai Li, Yapeng Tian, Ming-Hsuan Yang.
    International Conference on Computer Vision (ICCV), 2021.
    pdf
  • [ICCV '19] Deep Learning for Light Field Saliency Detection.
    Tiantian Wang, Yongri Piao, Xiao Li, Lihe Zhang, Huchuan Lu.
    International Conference on Computer Vision (ICCV), 2019.
    pdf
  • [BMVC '19] Referring Expression Object Segmentation with Caption-Aware Consistency.
    Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, Ming-Hsuan Yang.
    British Machine Vision Conference (BMVC), 2019.
    pdf
  • [CVPR '18] Detect Globally, Refine Locally: A Novel Approach to Saliency Detection.
    Tiantian Wang, Lihe Zhang, Shuo Wang, Huchuan Lu, Gang Yang, Xiang Ruan, Ali Borji.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
    pdf, code
  • [CVPR '18] Progressive Attention Guided Recurrent Network for Salient Object Detection.
    Xiaoning Zhang*, Tiantian Wang*, Lihe Zhang, Shuo Wang, Huchuan Lu, Gang Yang, Xiang Ruan, Ali Borji.
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (* equal contribution)
    pdf
  • [ICCV '17] A Stagewise Refinement Model for Detecting Salient Objects in Images.
    Tiantian Wang, Ali Borji, Lihe Zhang, Pingping Zhang, Huchuan Lu.
    International Conference on Computer Vision (ICCV), 2017.
    pdf, code
  • [ECCV '16] Kernelized Subspace Ranking for Saliency Detection.
    Tiantian Wang, Ali Borji, Lihe Zhang, Pingping Zhang, Huchuan Lu.
    European Conference on Computer Vision (ECCV), 2016.
    pdf, code

Selected Awards

  • Graduate Dean's Dissertation Fellowship, 2024.
  • Outstanding Reviewer of CVPR 2021.
  • Excellent Postgraduate of Dalian City, 2018.
  • Excellent Postgraduate of Dalian University of Technology, 2017.
  • Excellent Graduate of Dalian University of Technology, 2015.

Professional Activities

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