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2020 – today
- 2020
[c24]Chih-Chung Hsu, Wen-Hai Tseng, Hao-Ting Yang, Chia-Hsiang Lin, Chi-Hung Kao:
Rethinking Relation between Model Stacking and Recurrent Neural Networks for Social Media Prediction. ACM Multimedia 2020: 4585-4589- [i7]Chih-Chung Hsu, Hsin-Ti Ma:
Edge-Preserving Guided Semantic Segmentation for VIPriors Challenge. CoRR abs/2007.08919 (2020)
2010 – 2019
- 2019
- [j5]Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, Gene Cheung:
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination. IEEE Trans. Image Process. 28(12): 6225-6236 (2019) - [c23]Chih-Chung Hsu, Hsin-Ti Ma, Jun-Yi Lee:
SSSNet: Small-Scale-Aware Siamese Network for Gastric Cancer Detection. AVSS 2019: 1-5 - [c22]Andreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops 2019: 3575-3583 - [c21]Chih-Chung Hsu, Chia-Hsiang Lin:
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. ICCV Workshops 2019: 3643-3650 - [c20]Yi-Xiu Zhuang, Chih-Chung Hsu:
Detecting Generated Image Based on a Coupled Network with Two-Step Pairwise Learning. ICIP 2019: 3212-3216 - [c19]Chih-Chung Hsu, Li-Wei Kang, Chia-Yen Lee, Jun-Yi Lee, Zhong-Xuan Zhang, Shao-Min Wu:
Popularity Prediction of Social Media based on Multi-Modal Feature Mining. ACM Multimedia 2019: 2687-2691 - [c18]Chih-Chung Hsu, Cing-Hao Hung, Chih-Yu Jian, Yi-Xiu Zhuang:
Stronger Baseline for Vehicle Re-Identification in the Wild. VCIP 2019: 1-4 - [i6]Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR abs/1911.07783 (2019) - [i5]Chih-Chung Hsu, Chia-Hsiang Lin:
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution. CoRR abs/1911.08711 (2019) - 2018
- [j4]Chih-Chung Hsu, Chia-Wen Lin:
CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data. IEEE Trans. Multim. 20(2): 421-429 (2018) - [c17]Weng-Tai Su, Chih-Chung Hsu, Ziling Huang, Chia-Wen Lin, Gene Cheung:
Joint Pairwise Learning and Image Clustering Based on a Siamese CNN. ICIP 2018: 1992-1996 - [c16]Chih-Chung Hsu, Chia-Yen Lee, Ting-Xuan Liao, Jun-Yi Lee, Tsai-Yne Hou, Ying-Chu Kuo, Jing-Wen Lin, Ching-Yi Hsueh, Zhong-Xuan Zhang, Hsiang-Chin Chien:
An Iterative Refinement Approach for Social Media Headline Prediction. ACM Multimedia 2018: 2008-2012 - [i4]Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, Gene Cheung:
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination. CoRR abs/1807.08370 (2018) - [i3]Chih-Chung Hsu, Chia-Yen Lee, Ting-Xuan Liao, Jun-Yi Lee, Tsai-Yne Hou, Ying-Chu Kuo, Jing-Wen Lin, Ching-Yi Hsueh, Zhong-Xuan Zhan, Hsiang-Chin Chien:
An Iterative Refinement Approach for Social Media Headline Prediction. CoRR abs/1809.08753 (2018) - [i2]Chih-Chung Hsu, Chia-Yen Lee, Yi-Xiu Zhuang:
Learning to Detect Fake Face Images in the Wild. CoRR abs/1809.08754 (2018) - 2017
- [c15]Chih-Chung Hsu, Chia-Wen Lin:
Unsupervised convolutional neural networks for large-scale image clustering. ICIP 2017: 390-394 - [c14]Chih-Chung Hsu, Ying-Chin Lee, Ping-En Lu
, Shian-Shin Lu, Hsiao-Ting Lai, Chihg-Chu Huang, Chun Wang, Yang-Jiun Lin, Weng-Tai Su:
Social Media Prediction Based on Residual Learning and Random Forest. ACM Multimedia 2017: 1865-1870 - [c13]Chih-Chung Hsu, Chia-Wen Lin:
Objective quality assessment for video retargeting based on spatio-temporal distortion analysis. VCIP 2017: 1-4 - [i1]Chih-Chung Hsu, Chia-Wen Lin:
CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data. CoRR abs/1705.07091 (2017) - 2016
- [c12]Weng-Tai Su, Chih-Chung Hsu, Chia-Wen Lin, Weiyao Lin:
Supervised-learning based face hallucination for enhancing face recognition. ICASSP 2016: 1751-1755 - 2015
- [j3]Chih-Chung Hsu, Li-Wei Kang, Chia-Wen Lin:
Temporally Coherent Superresolution of Textured Video via Dynamic Texture Synthesis. IEEE Trans. Image Process. 24(3): 919-931 (2015) - [j2]Li-Wei Kang, Chih-Chung Hsu, Boqi Zhuang, Chia-Wen Lin, Chia-Hung Yeh:
Learning-Based Joint Super-Resolution and Deblocking for a Highly Compressed Image. IEEE Trans. Multim. 17(7): 921-934 (2015) - 2014
- [j1]Chih-Chung Hsu, Chia-Wen Lin, Yuming Fang, Weisi Lin:
Objective Quality Assessment for Image Retargeting Based on Perceptual Geometric Distortion and Information Loss. IEEE J. Sel. Top. Signal Process. 8(3): 377-389 (2014) - [c11]Chih-Chung Hsu, Li-Wei Kang, Chia-Wen Lin:
Video super-resolution via dynamic texture synthesis. MMSP 2014: 1-6 - 2013
- [c10]Li-Wei Kang, Bo-Chi Chuang, Chih-Chung Hsu, Chia-Wen Lin, Chia-Hung Yeh:
Self-learning-based single image super-resolution of a highly compressed image. MMSP 2013: 224-229 - [c9]Chih-Chung Hsu, Chia-Wen Lin, Yuming Fang, Weisi Lin:
Objective quality assessment for image retargeting based on perceptual distortion and information loss. VCIP 2013: 1-6 - 2011
- [c8]Chih-Chung Hsu, Chia-Wen Lin:
Image super-resolution via feature-based affine transform. MMSP 2011: 1-5 - [c7]Chun-Yu Lin, Chih-Chung Hsu, Chia-Wen Lin, Li-Wei Kang:
Fast deconvolution-based image super-resolution using gradient prior. VCIP 2011: 1-4 - 2010
- [c6]Chih-Chung Hsu, Chia-Wen Lin, Chiou-Ting Hsu, Hong-Yuan Mark Liao, Jen-Yu Yu:
Face hallucination using Bayesian global estimation and local basis selection. MMSP 2010: 449-453
2000 – 2009
- 2009
- [c5]Chih-Chung Hsu, Chia-Wen Lin, Chiou-Ting Hsu, Hong-Yuan Mark Liao:
Cooperative face hallucination using multiple references. ICME 2009: 818-821 - 2008
- [c4]Chih-Chung Hsu, Hsuan-Ting Chang:
Accelerating vector quantization of images using modified run length coding for adaptive block representation and difference measurement. ISCAS 2008: 3494-3497 - [c3]Chih-Chung Hsu, Tzu-Yi Hung, Chia-Wen Lin, Chiou-Ting Hsu:
Video forgery detection using correlation of noise residue. MMSP 2008: 170-174 - 2007
- [c2]Chih-Chung Hsu, Hsuan-Ting Chang, Ting Cheng Chang:
An Improved Face Detection Method in Low-resolution Video. IIH-MSP 2007: 419-422 - 2006
- [c1]Chih-Chung Hsu, Hsuan-Ting Chang, Ting Cheng Chang:
Efficient Moving Object Extraction in Compressed Low-Bit-Rate Video. IIH-MSP 2006: 411-414
Coauthor Index
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