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Tiantian Wang
Tiantian Wang
PhD Graduate
Electrical Engineering and Computer Science, University of California Merced
Office: Science and Engineering Building 2, UC Merced, CA 95343
Email : twang61 [at] ucmerced [dot] edu Github Google Scholar
PhD Graduate
Electrical Engineering and Computer Science, University of California Merced
Office: Science and Engineering Building 2, UC Merced, CA 95343
Email : twang61 [at] ucmerced [dot] edu Github Google Scholar
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
- Tiantian Wang, Xinxin Zuo, Fangzhou Mu, Jian Wang, Ming-Hsuan Yang. Towards 4D Human Video Stylization. Computer Vision and Image Understanding (CVIU), 2024. [arXiv][code]
- 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), 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.
Professonal Activities
- Reviewer for ICLR, NeurIPS, ECCV, CVPR, ICCV, AAAI, IJCAI, WACV
- Reviewer for TVCG, IJCV, TIP, TNNLS, PR, TMM