Research Output per year
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Research Outputs
Deep representation calibrated Bayesian neural network for semantically explainable face inpainting and editing
Xiong, H., Wang, C., Wang, X. & Tao, D., 2020, In : IEEE Access. 8, p. 13457-13466 10 p.Research output: Contribution to journal › Article
A deep learning approach for multiple sclerosis T1 lesion-inpainting using non-local partial convolutions
Xiong, H., Wang, C., Tao, D., Barnett, M. & Wang, C., Sep 2019, In : Multiple Sclerosis Journal. 25, 2 Supplement, p. 699 1 p., P1282.Research output: Contribution to journal › Meeting abstract
A diversified generative latent variable model for WiFi-SLAM
Xiong, H. & Tao, D., 13 Feb 2017, Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). Association for the Advancement of Artificial Intelligence, p. 3841-3847 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution
Deep Neural Networks with Relativity Learning for facial expression recognition
Guo, Y., Tao, D., Yu, J., Xiong, H., Li, Y. & Tao, D., 22 Sep 2016, 2016 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). Institute of Electrical and Electronics Engineers (IEEE), p. 1-6 6 p. 7574736. (IEEE International Conference on Multimedia and Expo Workshops).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution
25
Citations
(Scopus)
Diversified dynamical Gaussian process latent variable model for video repair
Xiong, H., Liu, T. & Tao, D., 1 Jan 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. Association for the Advancement of Artificial Intelligence, p. 3641-3647 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution
Prizes
Best Student Paper Award
Yanan Guo (Recipient), Dapeng Tao (Recipient), Jun Yu (Recipient), Hao Xiong (Recipient), Yaotang Li (Recipient) & Dacheng Tao (Recipient), 2016
Prize