no code implementations • 16 Mar 2023 • Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao
The field of image super-resolution (SR) has witnessed extensive neural network designs from CNN to transformer architectures.
1 code implementation • 13 Oct 2022 • Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu
We validate the potential of PEMN learning masks on random weights with limited unique values and test its effectiveness for a new compression paradigm based on different network architectures.
1 code implementation • 24 Sep 2022 • Jiamian Wang, Kunpeng Li, Yulun Zhang, Xin Yuan, Zhiqiang Tao
By observing this physical encoding procedure, two major challenges stand in the way of a high-fidelity reconstruction.
1 code implementation • ICLR 2022 • Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu
In this work, we regard the winning ticket from LTH as the subnetwork which is in trainable condition and its performance as our benchmark, then go from a complementary direction to articulate the Dual Lottery Ticket Hypothesis (DLTH): Randomly selected subnetworks from a randomly initialized dense network can be transformed into a trainable condition and achieve admirable performance compared with LTH -- random tickets in a given lottery pool can be transformed into winning tickets.
1 code implementation • 31 Dec 2021 • Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao
Recently, hyperspectral imaging (HSI) has attracted increasing research attention, especially for the ones based on a coded aperture snapshot spectral imaging (CASSI) system.
no code implementations • 29 Sep 2021 • Jiamian Wang, Yulun Zhang, Xin Yuan, Yun Fu, Zhiqiang Tao
As the inverse process of snapshot compressive imaging, the hyperspectral image (HSI) reconstruction takes the 2D measurement as input and posteriorly retrieves the captured 3D spatial-spectral signal.
1 code implementation • 17 Aug 2021 • Jiamian Wang, Yulun Zhang, Xin Yuan, Yun Fu, Zhiqiang Tao
The emerging technology of snapshot compressive imaging (SCI) enables capturing high dimensional (HD) data in an efficient way.
no code implementations • 9 Jul 2021 • Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li
Owing to the remarkable capability of extracting effective graph embeddings, graph convolutional network (GCN) and its variants have been successfully applied to a broad range of tasks, such as node classification, link prediction, and graph classification.
no code implementations • NeurIPS 2020 • Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu
Computing the gradient of model hyperparameters, i. e., hypergradient, enables a promising and natural way to solve the hyperparameter optimization task.
no code implementations • 14 Sep 2020 • Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu
Extensive experiments on four action datasets illustrate the proposed CAM achieves better results for each view and also boosts multi-view performance.
1 code implementation • 9 Apr 2020 • Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu
This paper studies the large-scale subspace clustering (LSSC) problem with million data points.
no code implementations • 29 Mar 2020 • Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
Nowadays, with the rapid development of data collection sources and feature extraction methods, multi-view data are getting easy to obtain and have received increasing research attention in recent years, among which, multi-view clustering (MVC) forms a mainstream research direction and is widely used in data analysis.
1 code implementation • ICLR 2020 • Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
In order to efficiently learn with small amount of data on new tasks, meta-learning transfers knowledge learned from previous tasks to the new ones.
no code implementations • 24 Nov 2019 • Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu
Multi-view time series classification (MVTSC) aims to improve the performance by fusing the distinctive temporal information from multiple views.
no code implementations • 31 May 2019 • Hongfu Liu, Zhiqiang Tao, Zhengming Ding
Consensus clustering fuses diverse basic partitions (i. e., clustering results obtained from conventional clustering methods) into an integrated one, which has attracted increasing attention in both academic and industrial areas due to its robust and effective performance.
1 code implementation • 6 Jan 2019 • Songyao Jiang, Zhiqiang Tao, Yun Fu
Recently image-to-image translation has received increasing attention, which aims to map images in one domain to another specific one.
no code implementations • CVPR 2017 • Yu Kong, Zhiqiang Tao, Yun Fu
Different from after-the-fact action recognition, action prediction task requires action labels to be predicted from these partially observed videos.