no code implementations • 8 May 2022 • Shuhao Shi, Jian Chen, Kai Qiao, Shuai Yang, Linyuan Wang, Bin Yan
The Graph Convolutional Networks (GCNs) have achieved excellent results in node classification tasks, but the model's performance at low label rates is still unsatisfactory.
1 code implementation • 7 Apr 2022 • Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
In this work, we present a novel framework, Generative Prior-guided UNsupervised Image-to-image Translation (GP-UNIT), to improve the overall quality and applicability of the translation algorithm.
1 code implementation • 24 Mar 2022 • Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy
Recent studies on StyleGAN show high performance on artistic portrait generation by transfer learning with limited data.
no code implementations • 26 Jun 2021 • Shuai Yang, Kai Qiao
In this paper, we propose a novel encoder, called ShapeEditor, for high-resolution, realistic and high-fidelity face exchange.
no code implementations • 25 May 2021 • S. Shi, Kai Qiao, Shuai Yang, L. Wang, J. Chen, Bin Yan
Traditional methods such as resampling, reweighting, and synthetic samples that deal with imbalanced datasets are no longer applicable in GNN.
no code implementations • 28 Feb 2021 • Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
Local causal structure learning aims to discover and distinguish direct causes (parents) and direct effects (children) of a variable of interest from data.
no code implementations • 12 Nov 2020 • Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
In this paper, we study the cases where at the training phase the target domain data is unavailable and only well-labeled source domain data is available, called robust domain adaptation.
1 code implementation • 23 Sep 2020 • Wenjing Wang, Shuai Yang, Jizheng Xu, Jiaying Liu
In this article, we address the problem by jointly considering the intrinsic properties of stylization and temporal consistency.
1 code implementation • 12 Sep 2020 • Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He
We have publicly released the benchmarking code, evaluation protocols, and experimental settings of our work to promote reproducible research in this field.
no code implementations • 8 Sep 2020 • Jaroslav Adam, Christine Aidala, Aaron Angerami, Benjamin Audurier, Carlos Bertulani, Christian Bierlich, Boris Blok, James Daniel Brandenburg, Stanley Brodsky, Aleksandr Bylinkin, Veronica Canoa Roman, Francesco Giovanni Celiberto, Jan Cepila, Grigorios Chachamis, Brian Cole, Guillermo Contreras, David d'Enterria, Adrian Dumitru, Arturo Fernández Téllez, Leonid Frankfurt, Maria Beatriz Gay Ducati, Frank Geurts, Gustavo Gil da Silveira, Francesco Giuli, Victor P. Goncalves, Iwona Grabowska-Bold, Vadim Guzey, Lucian Harland-Lang, Martin Hentschinski, Timothy J. Hobbs, Jamal Jalilian-Marian, Valery A. Khoze, Yongsun Kim, Spencer R. Klein, Simon Knapen, Mariola Kłusek-Gawenda, Michal Krelina, Evgeny Kryshen, Tuomas Lappi, Constantin Loizides, Agnieszka Luszczak, Magno Machado, Heikki Mäntysaari, Daniel Martins, Ronan McNulty, Michael Murray, Jan Nemchik, Jacquelyn Noronha-Hostler, Joakim Nystrand, Alessandro Papa, Bernard Pire, Mateusz Ploskon, Marius Przybycien, John P. Ralston, Patricia Rebello Teles, Christophe Royon, Björn Schenke, William Schmidke, Janet Seger, Anna Stasto, Peter Steinberg, Mark Strikman, Antoni Szczurek, Lech Szymanowski, Daniel Tapia Takaki, Ralf Ulrich, Orlando Villalobos Baillie, Ramona Vogt, Samuel Wallon, Michael Winn, Keping Xie, Zhangbu Xu, Shuai Yang, Mikhail Zhalov, Jian Zhou
Ultra-peripheral collisions (UPCs) involving heavy ions and protons are the energy frontier for photon-mediated interactions.
High Energy Physics - Phenomenology High Energy Physics - Experiment Nuclear Experiment
no code implementations • 3 Aug 2020 • Yu Han, Shuai Yang, Wenjing Wang, Jiaying Liu
Moreover, built upon the sampling network, we present design draft to real fashion item translation network (D2RNet), where two separate translation streams that focus on texture and shape, respectively, are combined tactfully to get both benefits.
no code implementations • 9 Jan 2020 • Yueyu Hu, Shuai Yang, Wenhan Yang, Ling-Yu Duan, Jiaying Liu
In this paper, we come up with a novel image coding framework by leveraging both the compressive and the generative models, to support machine vision and human perception tasks jointly.
1 code implementation • ECCV 2020 • Shuai Yang, Zhangyang Wang, Jiaying Liu, Zongming Guo
We present a sketch refinement strategy, as inspired by the coarse-to-fine drawing process of the artists, which we show can help our model well adapt to casual and varied sketches without the need for real sketch training data.
no code implementations • 20 Oct 2019 • Shuai Yang, Wenqi Zhu, Yuesheng Zhu
In the first stage, an affinity matrix is generated from data.
no code implementations • 12 Oct 2019 • Shuai Yang, Wenqi Zhu, Yuesheng Zhu
Subspace clustering aims to cluster unlabeled data that lies in a union of low-dimensional linear subspaces.
1 code implementation • 3 Oct 2019 • Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
To tackle this issue, we propose a novel Efficient Local Causal Structure learning algorithm, named ELCS.
1 code implementation • 4 Aug 2019 • Shuai Yang, Hao Wang, Yuhong Zhang, Pei-Pei Li, Yi Zhu, Xuegang Hu
Domain adaptation aims to exploit the knowledge in source domain to promote the learning tasks in target domain, which plays a critical role in real-world applications.
no code implementations • 8 May 2019 • Shuai Yang, Wenjing Wang, Jiaying Liu
To the best of our knowledge, this is the largest dataset for text effect transfer to date.
1 code implementation • ICCV 2019 • Shuai Yang, Zhangyang Wang, Zhaowen Wang, Ning Xu, Jiaying Liu, Zongming Guo
In this paper, we present the first text style transfer network that allows for real-time control of the crucial stylistic degree of the glyph through an adjustable parameter.
no code implementations • 2 May 2019 • Shuai Yang, Wenqi Zhu, Yuesheng Zhu
The affinity matrix is obtained in the first stage, then it goes through the second stage, where the proposed GBTO is applied to generate a reconstructed affinity matrix with more authentic similarity between data points.
no code implementations • 1 May 2019 • Wenqi Zhu, Yuesheng Zhu, Li Zhong, Shuai Yang
In this paper, we propose a noise-robust algorithm, Restricted Connection Orthogonal Matching Pursuit for Sparse Subspace Clustering (RCOMP-SSC), to improve the clustering accuracy and maintain the low computational time by restricting the number of connections of each data point during the iteration of OMP.
no code implementations • 16 Dec 2018 • Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo
The key idea is to train our network to accomplish both the objective of style transfer and style removal, so that it can learn to disentangle and recombine the content and style features of text effects images.
no code implementations • 9 Oct 2018 • Shuai Yang, Jiaying Liu, Wenhan Yang, Zongming Guo
The stylization is then followed by a context-aware layout design algorithm, where cues for both seamlessness and aesthetics are employed to determine the optimal layout of the shape in the background.
no code implementations • CVPR 2018 • Jiaying Liu, Wenhan Yang, Shuai Yang, Zongming Guo
In this paper, we address the problem of video rain removal by constructing deep recurrent convolutional networks.
1 code implementation • CVPR 2017 • Shuai Yang, Jiaying Liu, Zhouhui Lian, Zongming Guo
It allows our algorithm to produce artistic typography that fits for both local texture patterns and the global spatial distribution in the example.