no code implementations • ECCV 2020 • Xu Yan, Weibing Zhao, Kun Yuan, Ruimao Zhang, Zhen Li, Shuguang Cui
Recovering realistic textures from a largely down-sampled low resolution (LR) image with complicated patterns is a challenging problem in image super-resolution.
no code implementations • 9 May 2022 • Zizheng Yan, Yushuang Wu, Guanbin Li, Yipeng Qin, Xiaoguang Han, Shuguang Cui
Semi-supervised domain adaptation (SSDA) aims to apply knowledge learned from a fully labeled source domain to a scarcely labeled target domain.
no code implementations • 25 Apr 2022 • Liangdong Qiu, Chongjie Ye, Pei Chen, Yunbi Liu, Xiaoguang Han, Shuguang Cui
Experimental results on $4, 773$ dental models have shown our DArch can accurately segment each tooth of a dental model, and its performance is superior to the state-of-the-art methods.
1 code implementation • 3 Mar 2022 • Chaoda Zheng, Xu Yan, Haiming Zhang, Baoyuan Wang, Shenghui Cheng, Shuguang Cui, Zhen Li
3D single object tracking (3D SOT) in LiDAR point clouds plays a crucial role in autonomous driving.
1 code implementation • 2 Mar 2022 • Zhihao Yuan, Xu Yan, Yinghong Liao, Yao Guo, Guanbin Li, Zhen Li, Shuguang Cui
Thus, a more faithful caption can be generated only using point clouds during the inference.
no code implementations • 22 Feb 2022 • Yushuang Wu, Zizheng Yan, Shengcai Cai, Guanbin Li, Yizhou Yu, Xiaoguang Han, Shuguang Cui
Semantic segmentation of point cloud usually relies on dense annotation that is exhausting and costly, so it attracts wide attention to investigate solutions for the weakly supervised scheme with only sparse points annotated.
no code implementations • 10 Feb 2022 • Xianggang Yu, Jiapeng Tang, Yipeng Qin, Chenghong Li, Linchao Bao, Xiaoguang Han, Shuguang Cui
We present PVSeRF, a learning framework that reconstructs neural radiance fields from single-view RGB images, for novel view synthesis.
no code implementations • 21 Jan 2022 • Peixi Liu, Guangxu Zhu, Wei Jiang, Wu Luo, Jie Xu, Shuguang Cui
This letter studies a vertical federated edge learning (FEEL) system for collaborative objects/human motion recognition by exploiting the distributed integrated sensing and communication (ISAC).
no code implementations • 22 Dec 2021 • Xu Yan, Zhihao Yuan, Yuhao Du, Yinghong Liao, Yao Guo, Zhen Li, Shuguang Cui
To tackle this problem, the first VQA-3D dataset, namely CLEVR3D, is proposed, which contains 60K questions in 1, 129 real-world scenes.
no code implementations • 10 Dec 2021 • Zichen Ma, Zihan Lu, Yu Lu, Wenye Li, JinFeng Yi, Shuguang Cui
In this paper, we design a federated two-stage learning framework that augments prototypical federated learning with a cut layer on devices and uses sign-based stochastic gradient descent with the majority vote method on model updates.
no code implementations • ACM International Conference on Multimedia 2021 • Zizheng Yan, Xianggang Yu, Yipeng Qin, Yushuang Wu, Xiaoguang Han, Shuguang Cui
Recent advances in unsupervised domain adaptation have achieved remarkable performance on semantic segmentation tasks.
no code implementations • 29 Aug 2021 • Yang Yang, Yujie Yang, Mingzhe Chen, Chunyan Feng, Hailun Xia, Shuguang Cui, H. Vincent Poor
First, a MU-MC-VLC system model is established, and then a sum-rate maximization problem under dimming level and illumination uniformity constraints is formulated.
no code implementations • 20 Aug 2021 • Qin Shi, Liang Liu, Shuowen Zhang, Shuguang Cui
A novel two-phase sensing framework is proposed to localize the passive targets that cannot transmit/receive reference signals to/from the base stations (BSs), where the ranges of the targets are estimated based on their reflected OFDM signals to the BSs in Phase I, and the location of each target is estimated based on its ranges to different BSs in Phase II.
no code implementations • 11 Aug 2021 • Guangyi Liu, Yinghong Liao, Fuyu Wang, Bin Zhang, Lu Zhang, Xiaodan Liang, Xiang Wan, Shaolin Li, Zhen Li, Shuixing Zhang, Shuguang Cui
Medical imaging technologies, including computed tomography (CT) or chest X-Ray (CXR), are largely employed to facilitate the diagnosis of the COVID-19.
2 code implementations • ICCV 2021 • Chaoda Zheng, Xu Yan, Jiantao Gao, Weibing Zhao, Wei zhang, Zhen Li, Shuguang Cui
Current 3D single object tracking approaches track the target based on a feature comparison between the target template and the search area.
no code implementations • 5 Aug 2021 • Qin Wang, Hui Che, Weizhen Ding, Li Xiang, Guanbin Li, Zhen Li, Shuguang Cui
Thus, we propose a novel framework based on a teacher-student architecture for the accurate colorectal polyp classification (CPC) through directly using white-light (WL) colonoscopy images in the examination.
1 code implementation • CVPR 2021 • Jun Wei, Qin Wang, Zhen Li, Sheng Wang, S. Kevin Zhou, Shuguang Cui
In practice, our SPOL model first generates the CAMs through a novel element-wise multiplication of shallow and deep feature maps, which filters the background noise and generates sharper boundaries robustly.
1 code implementation • 2 Aug 2021 • Jun Wei, Yiwen Hu, Ruimao Zhang, Zhen Li, S. Kevin Zhou, Shuguang Cui
To address the above issues, we propose the Shallow Attention Network (SANet) for polyp segmentation.
Ranked #8 on
Video Polyp Segmentation
on SUN-SEG-Easy
no code implementations • 24 Jul 2021 • Maojun Zhang, Guangxu Zhu, Shuai Wang, Jiamo Jiang, Caijun Zhong, Shuguang Cui
Building on the analytical result, an optimized probabilistic scheduling policy is derived in closed-form by solving the approximate communication time minimization problem.
no code implementations • 21 Jul 2021 • Mengcheng Lan, Shuliang Ning, Yanran Li, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui
Despite video forecasting has been a widely explored topic in recent years, the mainstream of the existing work still limits their models with a single prediction space but completely neglects the way to leverage their model with multi-prediction spaces.
no code implementations • 9 Jul 2021 • Yiqun Lin, Lichang Chen, Haibin Huang, Chongyang Ma, Xiaoguang Han, Shuguang Cui
Sampling, grouping, and aggregation are three important components in the multi-scale analysis of point clouds.
no code implementations • 9 Jul 2021 • Wenting Jiang, Yicheng Jiang, Lu Zhang, Changmiao Wang, Xiaoguang Han, Shuixing Zhang, Xiang Wan, Shuguang Cui
In this paper, we raise the problem of HCC segmentation in DSA videos, and build our own DSA dataset.
1 code implementation • 29 Jun 2021 • Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu
Such training objective is sub-optimal when the target sequence is not perfect, e. g., when the target sequence is corrupted with noises, or when only weak sequence supervision is available.
no code implementations • 17 Jun 2021 • Zichen Ma, Yu Lu, Zihan Lu, Wenye Li, JinFeng Yi, Shuguang Cui
Training in heterogeneous and potentially massive networks introduces bias into the system, which is originated from the non-IID data and the low participation rate in reality.
no code implementations • Findings (ACL) 2021 • Yu Lu, Junwei Bao, Yan Song, Zichen Ma, Shuguang Cui, Youzheng Wu, Xiaodong He
Existing conversational recommendation (CR) systems usually suffer from insufficient item information when conducted on short dialogue history and unfamiliar items.
1 code implementation • 30 Apr 2021 • Weibing Zhao, Xu Yan, Jiantao Gao, Ruimao Zhang, Jiayan Zhang, Zhen Li, Song Wu, Shuguang Cui
In this paper, we address a fundamental problem in PCSR: How to downsample the dense point cloud with arbitrary scales while preserving the local topology of discarding points in a case-agnostic manner (i. e. without additional storage for point relationship)?
no code implementations • 4 Apr 2021 • Sihua Wang, Mingzhe Chen, Zhaohui Yang, Changchuan Yin, Walid Saad, Shuguang Cui, H. Vincent Poor
In this paper, the problem of minimizing the weighted sum of age of information (AoI) and total energy consumption of Internet of Things (IoT) devices is studied.
no code implementations • 18 Mar 2021 • Kai Chen, Qinglei Kong, Yijue Dai, Yue Xu, Feng Yin, Lexi Xu, Shuguang Cui
Empowered by big data and machine learning, next-generation data-driven communication systems will be intelligent with the characteristics of expressiveness, scalability, interpretability, and especially uncertainty modeling, which can confidently involve diversified latent demands and personalized services in the foreseeable future.
1 code implementation • CVPR 2021 • Haolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, Shuguang Cui
Grounding referring expressions in RGBD image has been an emerging field.
no code implementations • 5 Mar 2021 • Chuanhong Liu, Caili Guo, Yang Yang, Mingzhe Chen, H. Vincent Poor, Shuguang Cui
Then, the problem of user selection and bandwidth allocation is studied for FL implemented over a hybrid VLC/RF system aiming to optimize the FL performance.
1 code implementation • ICCV 2021 • Zhihao Yuan, Xu Yan, Yinghong Liao, Ruimao Zhang, Sheng Wang, Zhen Li, Shuguang Cui
Compared with the visual grounding on 2D images, the natural-language-guided 3D object localization on point clouds is more challenging.
1 code implementation • 29 Jan 2021 • Yining Wang, Mingzhe Chen, Zhaohui Yang, Walid Saad, Tao Luo, Shuguang Cui, H. Vincent Poor
The problem is formulated as an optimization problem whose goal is to maximize the reliability of the VR network by selecting the appropriate VAPs to be turned on and controlling the user association with SBSs.
no code implementations • 29 Jan 2021 • Amin Shahraki, Mahmoud Abbasi, Md. Jalil Piran, Mingzhe Chen, Shuguang Cui
Cellular Internet of Things (IoT) is considered as de facto paradigm to improve the communication and computation systems.
Networking and Internet Architecture
no code implementations • 27 Jan 2021 • Zhong Yang, Mingzhe Chen, Xiao Liu, Yuanwei Liu, Yue Chen, Shuguang Cui, H. Vincent Poor
To this end, the fundamentals of this framework are first introduced.
no code implementations • ICCV 2021 • Yushuang Wu, Zizheng Yan, Xiaoguang Han, Guanbin Li, Changqing Zou, Shuguang Cui
The key point of language-guided person search is to construct the cross-modal association between visual and textual input.
1 code implementation • 7 Dec 2020 • Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui
In practice, an initial semantic segmentation (SS) of a single sweep point cloud can be achieved by any appealing network and then flows into the semantic scene completion (SSC) module as the input.
3D Semantic Scene Completion from a single RGB image
Autonomous Driving
+2
no code implementations • 6 Dec 2020 • Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui
Analytical results show that, the proposed VD-RL algorithm is guaranteed to converge to a local optimal solution of the non-convex optimization problem.
no code implementations • 20 Oct 2020 • Fuwei Li, Lifeng Lai, Shuguang Cui
We formulate the modification strategy of the adversary as a bi-level optimization problem.
no code implementations • NeurIPS 2020 • Yinyu Nie, Yiqun Lin, Xiaoguang Han, Shihui Guo, Jian Chang, Shuguang Cui, Jian Jun Zhang
Existing works usually estimate the missing shape by decoding a latent feature encoded from the input points.
no code implementations • 20 Jul 2020 • Sihua Wang, Mingzhe Chen, Xuanlin Liu, Changchuan Yin, Shuguang Cui, H. Vincent Poor
Since the data size of each computational task is different, as the requested computational task varies, the BSs must adjust their resource (subcarrier and transmit power) and task allocation schemes to effectively serve the users.
no code implementations • 5 Jul 2020 • Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui
In this paper, the problem of delay minimization for federated learning (FL) over wireless communication networks is investigated.
no code implementations • 1 Jul 2020 • Songyang Zhang, Han Zhang, Shuguang Cui, Zhi Ding
Graph convolutional networks (GCN) have been recently utilized to extract the underlying structures of datasets with some labeled data and high-dimensional features.
1 code implementation • 5 Jun 2020 • Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui
We show that combining universal vector quantization methods with FL yields a decentralized training system in which the compression of the trained models induces only a minimum distortion.
no code implementations • 3 Jun 2020 • Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui
However, due to resource constraints and privacy challenges, edge IoT devices may not be able to transmit their collected data to a central controller for training machine learning models.
no code implementations • 25 May 2020 • Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui
Meanwhile, the probability that the DBS serves over 50% of user requests increases about 27%, compared to the baseline policy gradient algorithm.
no code implementations • 1 May 2020 • Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui
In this network, multiple RISs are spatially distributed to serve wireless users and the energy efficiency of the network is maximized by dynamically controlling the on-off status of each RIS as well as optimizing the reflection coefficients matrix of the RISs.
2 code implementations • ECCV 2020 • Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, Xiaoguang Han
High-fidelity clothing reconstruction is the key to achieving photorealism in a wide range of applications including human digitization, virtual try-on, etc.
1 code implementation • ECCV 2020 • Lingteng Qiu, Xuanye Zhang, Yan-ran Li, Guanbin Li, Xiao-Jun Wu, Zixiang Xiong, Xiaoguang Han, Shuguang Cui
Although occlusion widely exists in nature and remains a fundamental challenge for pose estimation, existing heatmap-based approaches suffer serious degradation on occlusions.
no code implementations • 19 Mar 2020 • Sihua Wang, Mingzhe Chen, Changchuan Yin, Walid Saad, Choong Seon Hong, Shuguang Cui, H. Vincent Poor
This problem is posed as an optimization problem whose goal is to minimize the energy and time consumption for task computing and transmission by adjusting the user association, service sequence, and task allocation scheme.
1 code implementation • CVPR 2020 • Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui
Extensive experiments verify the robustness and superiority of our approach in point clouds processing tasks regardless of synthesis data, indoor data, and outdoor data with or without noise.
no code implementations • 1 Mar 2020 • Yue Xu, Feng Yin, Wenjun Xu, Chia-Han Lee, Jia-Ru Lin, Shuguang Cui
The marriage of wireless big data and machine learning techniques revolutionizes the wireless system by the data-driven philosophy.
no code implementations • 29 Feb 2020 • Fuwei Li, Lifeng Lai, Shuguang Cui
In this paper, we investigate how to manipulate the coefficients obtained via linear regression by adding carefully designed poisoning data points to the dataset or modify the original data points.
1 code implementation • CVPR 2020 • Yiqun Lin, Zizheng Yan, Haibin Huang, Dong Du, Ligang Liu, Shuguang Cui, Xiaoguang Han
We introduce FPConv, a novel surface-style convolution operator designed for 3D point cloud analysis.
no code implementations • 28 Jan 2020 • Xiao Liu, Mingzhe Chen, Yuanwei Liu, Yue Chen, Shuguang Cui, Lajos Hanzo
Artificial intelligence (AI) assisted unmanned aerial vehicle (UAV) aided next-generation networking is proposed for dynamic environments.
no code implementations • 22 Jan 2020 • Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui
Due to the limited number of resource blocks (RBs) in a wireless network, only a subset of users can be selected to transmit their local FL model parameters to the BS at each learning step.
no code implementations • 21 Jan 2020 • Songyang Zhang, Shuguang Cui, Zhi Ding
Hypergraph spectral analysis has emerged as an effective tool processing complex data structures in data analysis.
no code implementations • 8 Jan 2020 • Songyang Zhang, Shuguang Cui, Zhi Ding
Along with increasingly popular virtual reality applications, the three-dimensional (3D) point cloud has become a fundamental data structure to characterize 3D objects and surroundings.
1 code implementation • 17 Sep 2019 • Mingzhe Chen, Zhaohui Yang, Walid Saad, Changchuan Yin, H. Vincent Poor, Shuguang Cui
This joint learning, wireless resource allocation, and user selection problem is formulated as an optimization problem whose goal is to minimize an FL loss function that captures the performance of the FL algorithm.
no code implementations • 17 Aug 2019 • Fuwei Li, Lifeng Lai, Shuguang Cui
We first characterize the optimal rank-one attack strategy that maximizes the subspace distance between the subspace learned from the original data matrix and that learned from the modified data matrix.
no code implementations • 22 Jul 2019 • Songyang Zhang, Zhi Ding, Shuguang Cui
Signal processing over graphs has recently attracted significant attentions for dealing with structured data.
no code implementations • 2 Jul 2019 • Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui
The recent success of single-agent reinforcement learning (RL) in Internet of things (IoT) systems motivates the study of multi-agent reinforcement learning (MARL), which is more challenging but more useful in large-scale IoT.
no code implementations • 6 Jun 2019 • Linning Xu, Feng Yin, Jiawei Zhang, Zhi-Quan Luo, Shuguang Cui
Hyper-parameter optimization remains as the core issue of Gaussian process (GP) for machine learning nowadays.
no code implementations • 3 Jun 2019 • Yue Xu, Wenjun Xu, Zhi Wang, Jia-Ru Lin, Shuguang Cui
Third, this work proposes an offline-evaluation based safeguard mechanism to ensure that the online system can always operate with the optimal and well-trained MLB policy, which not only stabilizes the online performance but also enables the exploration beyond current policies to make full use of machine learning in a safe way.
no code implementations • CVPR 2019 • Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang, Jingming Yu, Pan Pan, Xin Yang, Ligang Liu, Zixiang Xiong, Shuguang Cui
Given a single depth image, our method first goes through the 3D volume branch to obtain a volumetric scene reconstruction as a guide to the next view inpainting step, which attempts to make up the missing information; the third step involves projecting the volume under the same view of the input, concatenating them to complete the current view depth, and integrating all depth into the point cloud.
no code implementations • 13 Feb 2019 • Yue Xu, Feng Yin, Wenjun Xu, Jia-Ru Lin, Shuguang Cui
First, to the best of our knowledge, this paper is the first to empower GP regression with the alternating direction method of multipliers (ADMM) for parallel hyper-parameter optimization in the training phase, where such a scalable training framework well balances the local estimation in baseband units (BBUs) and information consensus among BBUs in a principled way for large-scale executions.
no code implementations • 18 Jan 2019 • Zizheng Yan, Xiaoguang Han, Changmiao Wang, Yuda Qiu, Zixiang Xiong, Shuguang Cui
Due to high-resolution and small-size lesion regions, applying existing methods, such as U-Nets, to perform segmentation on fundus photography is very challenging.
no code implementations • 26 Dec 2018 • Han Zhang, Bo Ai, Wenjun Xu, Li Xu, Shuguang Cui
Channel interpolation is an essential technique for providing high-accuracy estimation of the channel state information (CSI) for wireless systems design where the frequency-space structural correlations of multi-antenna channel are typically hidden in matrix or tensor forms.
no code implementations • 4 Dec 2018 • Ruichen Deng, Zhiyuan Jiang, Sheng Zhou, Shuguang Cui, Zhisheng Niu
Timely and accurate knowledge of channel state information (CSI) is necessary to support scheduling operations at both physical and network layers.
no code implementations • NeurIPS 2018 • Wenye Li, Jingwei Mao, Yin Zhang, Shuguang Cui
Similarity search is a fundamental problem in computing science with various applications and has attracted significant research attention, especially in large-scale search with high dimensions.
no code implementations • 3 Aug 2018 • Kai Chen, Twan van Laarhoven, Elena Marchiori, Feng Yin, Shuguang Cui
The function interaction is modeled by using cross convolution of latent functions.
no code implementations • 24 Jul 2018 • Xiaoguang Han, Kangcheng Hou, Dong Du, Yuda Qiu, Yizhou Yu, Kun Zhou, Shuguang Cui
To construct the mapping between 2D sketches and a vertex-wise scaling field, a novel deep learning architecture is developed.
no code implementations • 17 Mar 2016 • Qilian Yu, Easton Li Xu, Shuguang Cui
Submodular maximization problems belong to the family of combinatorial optimization problems and enjoy wide applications.
no code implementations • 12 Feb 2016 • Easton Li Xu, Xiaoning Qian, Tie Liu, Shuguang Cui
For the case when the underlying interaction graph is known to be acyclic, it is shown that a simple algorithm that is based on a maximum-weight spanning tree with respect to the plug-in estimates of the influences not only has strong theoretical performance guarantees, but can also outperform generic feature selection algorithms for recovering the interaction graph from i. i. d.
no code implementations • 28 Sep 2014 • Weijia Han, Huiyan Sang, Min Sheng, Jiandong Li, Shuguang Cui
How to learn such a BN structure is a long standing issue, not fully understood even in the statistical learning community.