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Tianhao Gu
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2020 – today
- 2024
- [c1]Zhilin He, Yawei Zhang, Jingchang Mu, Xiaoyue Gu, Tianhao Gu:
LiteGfm: A Lightweight Self-supervised Monocular Depth Estimation Framework for Artifacts Reduction via Guided Image Filtering. ACM Multimedia 2024: 8903-8912 - [i1]Fei Zhou, Zhicong Huang, Tianhao Gu, Guoping Qiu:
Vision Language Modeling of Content, Distortion and Appearance for Image Quality Assessment. CoRR abs/2406.09858 (2024) - 2023
- [j6]Tianhao Gu, Zhe Wang, Zhongli Fang, Zonghai Zhu, Hai Yang, Dongdong Li, Wenli Du:
Multilabel Convolutional Network With Feature Denoising and Details Supplement. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8349-8361 (2023) - [j5]Tianhao Gu, Zhe Wang, Xinlei Xu, Dongdong Li, Hai Yang, Wenli Du:
Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition. IEEE Trans. Neural Networks Learn. Syst. 34(12): 11021-11028 (2023) - 2021
- [j4]Tianhao Gu, Zhe Wang, Ziqiu Chi, Yiwen Zhu, Wenli Du:
Unsupervised cycle optimization learning for single-view depth and camera pose with Kalman filter. Eng. Appl. Artif. Intell. 106: 104488 (2021) - [j3]Tianhao Gu, Zhe Wang, Dongdong Li, Hai Yang, Wenli Du, Yangming Zhou:
OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video. IEEE Trans. Cogn. Dev. Syst. 13(4): 995-1009 (2021) - [j2]Zhe Wang, Tianhao Gu, Yiwen Zhu, Dongdong Li, Hai Yang, Wenli Du:
FLDNet: Frame-Level Distilling Neural Network for EEG Emotion Recognition. IEEE J. Biomed. Health Informatics 25(7): 2533-2544 (2021)
2010 – 2019
- 2017
- [j1]Miguel Francisco M. Remolona, Matthew F. Conway, Sriram Balasubramanian, Linxi Fan, Ziyan Feng, Tianhao Gu, Hyungtae Kim, Prasad M. Nirantar, Sarah Panda, Nithin R. Ranabothu, Neha Rastogi, Venkat Venkatasubramanian:
Hybrid ontology-learning materials engineering system for pharmaceutical products: Multi-label entity recognition and concept detection. Comput. Chem. Eng. 107: 49-60 (2017)
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