Search Results - "Vu, Tiep Huu"

Fast Low-Rank Shared Dictionary Learning for Image Classification by Tiep Huu Vu, Monga, Vishal

“…Despite the fact that different objects possess distinct class-specific features, they also usually share common patterns. This observation has been exploited…”
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Histopathological Image Classification Using Discriminative Feature-Oriented Dictionary Learning by Tiep Huu Vu, Mousavi, Hojjat Seyed, Monga, Vishal, Rao, Ganesh, Arvind Rao, U. K.

“…In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each…”
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Classifying Multichannel UWB SAR Imagery via Tensor Sparsity Learning Techniques by Vu, Tiep Huu, Nguyen, Lam H., Monga, Vishal

“…Using low-frequency (UHF to L-band) ultrawideband synthetic aperture radar (SAR) technology for detecting buried and obscured targets, e.g., bomb or mine, has…”
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Deep Wavelet Prediction for Image Super-Resolution by Tiantong Guo, Mousavi, Hojjat Seyed, Tiep Huu Vu, Monga, Vishal

“…Recent advances have seen a surge of deep learning approaches for image super-resolution. Invariably, a network, e.g. a deep convolutional neural network (CNN)…”
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Secure remote updating of bitstream in partial reconfigurable embedded systems based on FPGA by Thanh, Tran, Huu Tiep, Vu, Hoang Vu, Tran, Ngoc Nam, Pham, Van Cuong, Nguyen

“…Intellectual Property protection on FPGAs is a major challenge for FPGA manufacturers. Adding security features to the FPGA is not difficult but there is no…”
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Signal Classification Under Structured Sparsity Constraints by Vu, Tiep Huu

“…Object Classification is a key direction of research in signal and image processing, computer vision and artificial intelligence. The goal is to come up with…”
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Signal Classification under structure sparsity constraints by Vu, Tiep Huu

“…Object Classification is a key direction of research in signal and image processing, computer vision and artificial intelligence. The goal is to come up with…”
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NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results by Timofte, Radu, Agustsson, Eirikur, Van Gool, Luc, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Loy, Chen Change, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Huang, Thomas S., Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jinshan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Mousavi, Hojjat Seyed, Tiep Huu Vu, Monga, Vishal, Cruz, Cristovao, Egiazarian, Karen, Katkovnik, Vladimir, Mehta, Rakesh, Jain, Arnav Kumar, Agarwalla, Abhinav, Sai Praveen, C. V., Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo

“…This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed…”
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Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning by Vu, Tiep Huu, Mousavi, Hojjat Seyed, Monga, Vishal, Rao, Arvind UK, Rao, Ganesh

“…In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each…”
Get full text