Tao Dai
Title
Cited by
Cited by
Year
Second-order attention network for single image super-resolution
T Dai, J Cai, Y Zhang, ST Xia, L Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
3892019
Entropy-based bilateral filtering with a new range kernel
T Dai, W Lu, W Wang, J Wang, ST Xia
Signal Processing 137, 223-234, 2017
352017
Binary matrices for compressed sensing
W Lu, T Dai, ST Xia
IEEE Transactions on Signal Processing 66 (1), 77-85, 2017
222017
Hilbert-based generative defense for adversarial examples
Y Bai, Y Feng, Y Wang, T Dai, ST Xia, Y Jiang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
192019
PMPA: A patch-based multiscale products algorithm for image denoising
T Dai, CB Song, JP Zhang, ST Xia
International Conference on Image Processing (ICIP), 4406 - 4410, 2015
192015
Adversarial attack on deep product quantization network for image retrieval
Y Feng, B Chen, T Dai, ST Xia
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10786 …, 2020
152020
AIM 2020 challenge on video extreme super-resolution: Methods and results
D Fuoli, Z Huang, S Gu, R Timofte, A Raventos, A Esfandiari, S Karout, ...
European Conference on Computer Vision, 57-81, 2020
132020
Deterministic constructions of binary measurement matrices with various sizes
XJ Liu, ST Xia, T Dai
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015
132015
Referenceless quality metric of multiply-distorted images based on structural degradation
T Dai, K Gu, L Niu, Y Zhang, W Lu, ST Xia
Neurocomputing 290, 185-195, 2018
122018
A generic denoising framework via guided principal component analysis
T Dai, Z Xu, H Liang, K Gu, Q Tang, Y Wang, W Lu, ST Xia
Journal of Visual Communication and Image Representation 48, 340-352, 2017
92017
Student-t Process Regression with Student-t Likelihood
Q Tang, L Niu, Y Wang, T Dai, W An, J Cai, ST Xia
IJCAI 2017, 2017
82017
Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels
STX Jiawei Li, Tao Dai, Qingtao Tang, Yeli Xing
2018 25th IEEE International Conference on Image Processing (ICIP), 2018
62018
Self-Paced Mixture of T Distribution Model
STX Yang Zhang, Qingtao Tang, Li Niu, Tao Dai, Xi Xiao
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
62018
Mitigating bufferbloat with receiver-based TCP flow control mechanism in cellular networks
X Liu, F Ren, R Shu, T Zhang, T Dai, K Sha, A Striegel, M Song
Advances in Computer Communications and Networks: From Green, Mobile …, 2016
62016
Robust Survey Aggregation with Student-t Distribution and Sparse Representation
Q Tang, T Dai, L Niu, Y Wang, ST Xia, J Cai
IJCAI 2017, 2017
42017
Corrdrop: Correlation based dropout for convolutional neural networks
Y Zeng, T Dai, ST Xia
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
32020
Attentiondrop for convolutional neural networks
Z Ouyang, Y Feng, Z He, T Hao, T Dai, ST Xia
2019 IEEE International Conference on Multimedia and Expo (ICME), 1342-1347, 2019
32019
Image super-resolution via residual block attention networks
T Dai, H Zha, Y Jiang, ST Xia
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
32019
FOVEATED NONLOCAL DUAL DENOISING
T Dai, K Gu, Q Tang, KW Hung, Y Zhang, W Lu, ST Xia
International Conference on Image Processing (ICIP), 2017
32017
SAM: self-attention based deep learning method for online traffic classification
G Xie, Q Li, Y Jiang, T Dai, G Shen, R Li, R Sinnott, S Xia
Proceedings of the Workshop on Network Meets AI & ML, 14-20, 2020
22020
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