1 code implementation • 19 Sep 2017 • Mai Xu, Tianyi Li, Zulin Wang, Xin Deng, Ren Yang, Zhenyu Guan
Therefore, this paper proposes a deep learning approach to predict the CU partition for reducing the HEVC complexity at both intra- and inter-modes, which is based on convolutional neural network (CNN) and long- and short-term memory (LSTM) network.
1 code implementation • 25 Sep 2017 • Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues
This paper proposes a new approach to construct a high-resolution (HR) version of a low-resolution (LR) image given another HR image modality as reference, based on joint sparse representations induced by coupled dictionaries.
no code implementations • 9 Oct 2019 • Xin Deng, Pier Luigi Dragotti
In this paper, we propose a novel deep convolutional neural network to solve the general multi-modal image restoration (MIR) and multi-modal image fusion (MIF) problems.
1 code implementation • ICCV 2019 • Xin Deng, Ren Yang, Mai Xu, Pier Luigi Dragotti
In this paper, we propose a novel method based on wavelet domain style transfer (WDST), which achieves a better PD tradeoff than the GAN based methods.
no code implementations • 18 Jul 2020 • Xin Deng, Ross Smith, Genevieve Quintin
In this paper, we proposed and developed an innovative Semi-Supervised Learning approach by utilizing Deep Learning and Topic Modeling to have a better understanding of the user voice. This approach combines a BERT-based multiclassification algorithm through supervised learning combined with a novel Probabilistic and Semantic Hybrid Topic Inference (PSHTI) Model through unsupervised learning, aiming at automating the process of better identifying the main topics or areas as well as the sub-topics from the textual feedback and support. There are three major break-through: 1.
1 code implementation • ECCV 2020 • Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song
In this paper, we focus on enhancing the perceptual quality of compressed video.
1 code implementation • ICCV 2021 • Junpeng Jing, Xin Deng, Mai Xu, Jianyi Wang, Zhenyu Guan
Capacity, invisibility and security are three primary challenges in image hiding task.
no code implementations • CVPR 2021 • Xin Deng, Hao Wang, Mai Xu, Yichen Guo, Yuhang Song, Li Yang
In addition, we propose a deep reinforcement learning scheme with a latitude adaptive reward, in order to automatically select optimal upscaling factors for different latitude bands.
1 code implementation • CVPR 2021 • Xin Deng, Wenzhe Yang, Ren Yang, Mai Xu, Enpeng Liu, Qianhan Feng, Radu Timofte
To fully explore the mutual information across two stereo images, we use a deep regression model to estimate the homography matrix, i. e., H matrix.
1 code implementation • 5 Nov 2021 • Minglang Qiao, Yufan Liu, Mai Xu, Xin Deng, Bing Li, Weiming Hu, Ali Borji
In this paper, we propose a multitask learning method for visual-audio saliency prediction and sound source localization on multi-face video by leveraging visual, audio and face information.
no code implementations • 2 May 2022 • Ali Ahmadvand, Negar Arabzadeh, Julia Kiseleva, Patricio Figueroa Sanz, Xin Deng, Sujay Jauhar, Michael Gamon, Eugene Agichtein, Ned Friend, Aniruddha
Current interactive systems with natural language interfaces lack the ability to understand a complex information-seeking request which expresses several implicit constraints at once, and there is no prior information about user preferences e. g.,"find hiking trails around San Francisco which are accessible with toddlers and have beautiful scenery in summer", where output is a list of possible suggestions for users to start their exploration.
no code implementations • CVPR 2023 • Xin Deng, Wenyu Zhang, Qing Ding, Xinming Zhang
In point cloud analysis, point-based methods have rapidly developed in recent years.
Ranked #1 on 3D Semantic Segmentation on OpenTrench3D
1 code implementation • 20 Nov 2022 • Qunliang Xing, Mai Xu, Xin Deng, Yichen Guo
Image defocus is inherent in the physics of image formation caused by the optical aberration of lenses, providing plentiful information on image quality.
no code implementations • ICCV 2023 • Xin Deng, Chao GAO, Mai Xu
In this paper, we propose a novel method namely PIRNet, which operates privacy-preserving image restoration in the steganographic domain.
1 code implementation • ICCV 2023 • Shengxi Li, Jialu Zhang, Yifei Li, Mai Xu, Xin Deng, Li Li
The emergence of conditional generative adversarial networks (cGANs) has revolutionised the way we approach and control the generation, by means of adversarially learning joint distributions of data and auxiliary information.
no code implementations • 21 Apr 2023 • Nikhil Mehta, Milagro Teruel, Patricio Figueroa Sanz, Xin Deng, Ahmed Hassan Awadallah, Julia Kiseleva
We explore multiple types of help players can give to the AI to guide it and analyze the impact of this help in AI behavior, resulting in performance improvements.
no code implementations • ICCV 2023 • Junpeng Jing, Jiankun Li, Pengfei Xiong, Jiangyu Liu, Shuaicheng Liu, Yichen Guo, Xin Deng, Mai Xu, Lai Jiang, Leonid Sigal
A novel Uncertainty Guided Adaptive Correlation (UGAC) module is introduced to robustly adapt the same model for different scenarios.
1 code implementation • 16 Sep 2023 • Wenyu Zhang, Xin Deng, Baojun Jia, Xingtong Yu, Yifan Chen, Jin Ma, Qing Ding, Xinming Zhang
Additionally, we introduce the MLP-based Sequential Residual Block (MSRB) for robust feature extraction from text images, and a Local Contour Awareness loss ($\mathcal{L}_{lca}$) to enhance the model's perception of details.
no code implementations • 27 Feb 2024 • Qunliang Xing, Mai Xu, Shengxi Li, Xin Deng, Meisong Zheng, Huaida Liu, Ying Chen
However, these methods exhibit a pervasive enhancement bias towards the compression domain, inadvertently regarding it as more realistic than the raw domain.
no code implementations • 16 Apr 2024 • Bin Liu, Siqi Wu, Jin Wang, Xin Deng, Ao Zhou
Specifically, HiGraphDTI learns hierarchical drug representations from triple-level molecular graphs to thoroughly exploit chemical information embedded in atoms, motifs, and molecules.