| Deep fake image detection based on pairwise learning CC Hsu, YX Zhuang, CY Lee Applied Sciences 10 (1), 370, 2020 | 272 | 2020 |
| Video forgery detection using correlation of noise residue CC Hsu, TY Hung, CW Lin, CT Hsu 2008 IEEE 10th workshop on multimedia signal processing, 170-174, 2008 | 251 | 2008 |
| Cnn-based joint clustering and representation learning with feature drift compensation for large-scale image data CC Hsu, CW Lin IEEE Transactions on Multimedia 20 (2), 421-429, 2017 | 161 | 2017 |
| Learning to detect fake face images in the wild CC Hsu, CY Lee, YX Zhuang 2018 international symposium on computer, consumer and control (IS3C), 388-391, 2018 | 140 | 2018 |
| Aim 2019 challenge on real-world image super-resolution: Methods and results A Lugmayr, M Danelljan, R Timofte, M Fritsche, S Gu, K Purohit, ... 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019 | 110 | 2019 |
| Objective Quality Assessment for Image Retargeting Based on Perceptual Geometric Distortion and Information Loss C Hsu, C Lin, Y Fang, W Lin IEEE Journal of Selected Topics in Signal Processing 99, 1-1, 2014 | 104 | 2014 |
| Sigan: Siamese generative adversarial network for identity-preserving face hallucination CC Hsu, CW Lin, WT Su, G Cheung IEEE Transactions on Image Processing 28 (12), 6225-6236, 2019 | 97 | 2019 |
| Learning-based joint super-resolution and deblocking for a highly compressed image LW Kang, CC Hsu, B Zhuang, CW Lin, CH Yeh IEEE Transactions on Multimedia 17 (7), 921-934, 2015 | 88 | 2015 |
| NTIRE 2023 challenge on image super-resolution (x4): Methods and results Y Zhang, K Zhang, Z Chen, Y Li, R Timofte, J Zhang, K Zhang, R Peng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 68* | 2023 |
| Adam challenge: Detecting age-related macular degeneration from fundus images H Fang, F Li, H Fu, X Sun, X Cao, F Lin, J Son, S Kim, G Quellec, S Matta, ... IEEE transactions on medical imaging 41 (10), 2828-2847, 2022 | 55 | 2022 |
| Learned smartphone isp on mobile npus with deep learning, mobile ai 2021 challenge: Report A Ignatov, CM Chiang, HK Kuo, A Sycheva, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 42 | 2021 |
| DCSN: Deep compressed sensing network for efficient hyperspectral data transmission of miniaturized satellite CC Hsu, CH Lin, CH Kao, YC Lin IEEE Transactions on Geoscience and Remote Sensing 59 (9), 7773-7789, 2020 | 40 | 2020 |
| Adaptive distribution learning with statistical hypothesis testing for COVID-19 CT scan classification GL Chen, CC Hsu, MH Wu Proceedings of the IEEE/CVF International Conference on Computer Vision, 471-479, 2021 | 36* | 2021 |
| Is intensity inhomogeneity correction useful for classification of breast cancer in sonograms using deep neural network? CY Lee, GL Chen, ZX Zhang, YH Chou, CC Hsu Journal of healthcare engineering 2018 (1), 8413403, 2018 | 33 | 2018 |
| Social media prediction based on residual learning and random forest CC Hsu, YC Lee, PE Lu, SS Lu, HT Lai, CC Huang, C Wang, YJ Lin, ... Proceedings of the 25th ACM international conference on Multimedia, 1865-1870, 2017 | 33 | 2017 |
| Popularity prediction of social media based on multi-modal feature mining CC Hsu, LW Kang, CY Lee, JY Lee, ZX Zhang, SM Wu Proceedings of the 27th ACM International Conference on Multimedia, 2687-2691, 2019 | 28 | 2019 |
| The ninth NTIRE 2024 efficient super-resolution challenge report B Ren, Y Li, N Mehta, R Timofte, H Yu, C Wan, Y Hong, B Han, Z Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 25 | 2024 |
| Detecting generated image based on a coupled network with two-step pairwise learning YX Zhuang, CC Hsu 2019 IEEE International Conference on Image Processing (ICIP), 3212-3216, 2019 | 24 | 2019 |
| 1st workshop on maritime computer vision (macvi) 2023: Challenge results B Kiefer, M Kristan, J Perš, L Žust, F Poiesi, F Andrade, A Bernardino, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 23 | 2023 |
| Self-learning-based single image super-resolution of a highly compressed image LW Kang, BC Chuang, CC Hsu, CW Lin, CH Yeh 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP …, 2013 | 23 | 2013 |
Chia-Wen Lin (林嘉文)Distinguished Professor of Electrical Engineering, National Tsing Hua University, TaiwanZweryfikowany adres z ee.nthu.edu.tw
