Dual path networks Y Chen, J Li, H Xiao, X Jin, S Yan, J Feng NIPS, 4467-4475, 2017 | 906 | 2017 |
Revisiting dilated convolution: A simple approach for weakly-and semi-supervised semantic segmentation Y Wei, H Xiao, H Shi, Z Jie, J Feng, TS Huang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 579 | 2018 |
Video scene parsing with predictive feature learning X Jin, X Li, H Xiao, X Shen, Z Lin, J Yang, Y Chen, J Dong, L Liu, Z Jie, ... Proceedings of the IEEE International Conference on Computer Vision, 5580-5588, 2017 | 133 | 2017 |
Monet: Deep motion exploitation for video object segmentation H Xiao, J Feng, G Lin, Y Liu, M Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 130 | 2018 |
Predicting scene parsing and motion dynamics in the future X Jin, H Xiao, X Shen, J Yang, Z Lin, Y Chen, Z Jie, J Feng, S Yan NIPS, 6915-6924, 2017 | 75 | 2017 |
Deep Salient Object Detection with Dense Connections and Distraction Diagnosis H Xiao, J Feng, Y Wei, M Zhang, S Yan IEEE Transactions on Multimedia, 2018 | 71* | 2018 |
Online meta adaptation for fast video object segmentation H Xiao, B Kang, Y Liu, M Zhang, J Feng IEEE transactions on pattern analysis and machine intelligence 42 (5), 1205-1217, 2019 | 41 | 2019 |
A class imbalance loss for imbalanced object recognition L Zhang, C Zhang, S Quan, H Xiao, G Kuang, L Liu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 35 | 2020 |
Transferable Semi-supervised Semantic Segmentation H Xiao, Y Wei, Y Liu, M Zhang, J Feng Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 34 | 2018 |
Pixelwise estimation of signal-dependent image noise using deep residual learning H Tan, H Xiao, S Lai, Y Liu, M Zhang Computational intelligence and neuroscience 2019, 2019 | 17 | 2019 |
Deep residual learning for image demosaicing and blind denoising H Tan, H Xiao, S Lai, Y Liu, M Zhang Pattern Recognition Letters 2018, 2018 | 11 | 2018 |
Fast ℓ 1-minimization algorithm for robust background subtraction H Xiao, Y Liu, M Zhang EURASIP Journal on Image and Video Processing 2016 (1), 1-12, 2016 | 10 | 2016 |
Deep ladder reconstruction-classification network for unsupervised domain adaptation W Deng, Z Su, Q Qiu, L Zhao, G Kuang, M Pietikäinen, H Xiao, L Liu Pattern Recognition Letters 152, 398-405, 2021 | 8 | 2021 |
MSBA: Multiple scales, branches and attention network with bag of tricks for person re-identification H Tan, H Xiao, X Zhang, B Dai, S Lai, Y Liu, M Zhang IEEE Access 8, 63632-63642, 2020 | 8 | 2020 |
Dynamic cross fusion network for building-based damage assessment H Xiao, Y Peng, H Tan, P Li 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 7 | 2021 |
LASSO approximation and application to image super-resolution with CUDA acceleration H Tan, H Xiao, Y Liu, M Zhang, B Wang 2017 2nd International Conference on image, vision and computing (ICIVC …, 2017 | 6 | 2017 |
A Noisy Videos Background Subtraction Algorithm Based on Dictionary Learning. H Xiao, Y Liu, S Tan, J Duan, M Zhang KSII Transactions on Internet & Information Systems 8 (6), 2014 | 6 | 2014 |
Denoising real bursts with squeeze‐and‐excitation residual network H Tan, H Xiao, S Lai, Y Liu, M Zhang IET Image Processing 14 (13), 3095-3104, 2020 | 5 | 2020 |
Image colorization based on texture by using of CNN J Li, H Xiao, D Tan, M Zhang, Y Liu 2019 IEEE 4th International Conference on Image, Vision and Computing (ICIVC …, 2019 | 5 | 2019 |
Salient object detection via robust dictionary representation H Xiao, W Ren, W Wang, Y Liu, M Zhang Multimedia Tools and Applications 77 (3), 3317-3337, 2018 | 5 | 2018 |