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.
1 code implementation • NAACL 2022 • 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 • 26 Nov 2023 • Zhihao Yuan, Jinke Ren, Chun-Mei Feng, Hengshuang Zhao, Shuguang Cui, Zhen Li
Building on this, we design a visual program that consists of three types of modules, i. e., view-independent, view-dependent, and functional modules.
no code implementations • 21 Nov 2023 • Jinke Ren, Zezhong Zhang, Jie Xu, GuanYing Chen, Yaping Sun, Ping Zhang, Shuguang Cui
Semantic communication is widely touted as a key technology for propelling the sixth-generation (6G) wireless networks.
no code implementations • 2 Oct 2023 • Jiacheng Wang, Hongyang Du, Dusit Niyato, Jiawen Kang, Shuguang Cui, Xuemin Shen, Ping Zhang
In this article, we investigate applications of GAI in the physical layer and analyze its support for integrated sensing and communications (ISAC) systems.
no code implementations • ICCV 2023 • Yushuang Wu, Xiao Li, Jinglu Wang, Xiaoguang Han, Shuguang Cui, Yan Lu
Specifically, we use a small network similar to NeRF while preserving the rendering speed with a single network forwarding per pixel as in NeLF.
no code implementations • 19 Aug 2023 • Duo Wu, Dayou Zhang, Miao Zhang, Ruoyu Zhang, Fangxin Wang, Shuguang Cui
The high-accuracy and resource-intensive deep neural networks (DNNs) have been widely adopted by live video analytics (VA), where camera videos are streamed over the network to resource-rich edge/cloud servers for DNN inference.
1 code implementation • ICCV 2023 • Yueru Luo, Chaoda Zheng, Xu Yan, Tang Kun, Chao Zheng, Shuguang Cui, Zhen Li
On the one hand, each query is generated based on 2D lane-aware features and adopts a hybrid embedding to enhance lane information.
Ranked #1 on
3D Lane Detection
on OpenLane
1 code implementation • 20 Jul 2023 • Jun Wei, Yiwen Hu, Shuguang Cui, S. Kevin Zhou, Zhen Li
In contrast, polyp bounding box annotations are much cheaper and more accessible.
no code implementations • 7 Jul 2023 • Zizheng Yan, Yushuang Wu, Yipeng Qin, Xiaoguang Han, Shuguang Cui, Guanbin Li
In this paper, we introduce a realistic and challenging domain adaptation problem called Universal Semi-supervised Model Adaptation (USMA), which i) requires only a pre-trained source model, ii) allows the source and target domain to have different label sets, i. e., they share a common label set and hold their own private label set, and iii) requires only a few labeled samples in each class of the target domain.
no code implementations • 7 Jul 2023 • Yilong Chen, Huijun Xing, Jie Xu, Lexi Xu, Shuguang Cui
In particular, we consider two scenarios with best-effort and error-constrained computation tasks, with the objectives of minimizing the average computation mean squared error (MSE) and the computation outage probability over the multiple subcarriers, respectively.
no code implementations • 16 Jun 2023 • Yu Lu, Junwei Bao, Zichen Ma, Xiaoguang Han, Youzheng Wu, Shuguang Cui, Xiaodong He
High-quality data is essential for conversational recommendation systems and serves as the cornerstone of the network architecture development and training strategy design.
no code implementations • 6 Jun 2023 • Yuncheng Jiang, Zixun Zhang, Ruimao Zhang, Guanbin Li, Shuguang Cui, Zhen Li
YONA fully exploits the information of one previous adjacent frame and conducts polyp detection on the current frame without multi-frame collaborations.
no code implementations • 5 Jun 2023 • Yao Tang, Guangxu Zhu, Wei Xu, Man Hon Cheung, Tat-Ming Lok, Shuguang Cui
Unmanned Aerial Vehicle (UAV)-mounted edge devices are particularly advantageous for FEEL due to their flexibility and mobility in efficient data collection.
1 code implementation • 26 May 2023 • Zhaowei Zhang, Nian Liu, Siyuan Qi, Ceyao Zhang, Ziqi Rong, Song-Chun Zhu, Shuguang Cui, Yaodong Yang
In this paper, we propose A2EHV, an Automated Alignment Evaluation with a Heterogeneous Value system that (1) is automated to minimize individual human biases, and (2) allows assessments against various target values to foster heterogeneous agents.
no code implementations • 23 Apr 2023 • Xiaozhe Gu, Zixun Zhang, Yuncheng Jiang, Tao Luo, Ruimao Zhang, Shuguang Cui, Zhen Li
Despite the simplicity, stochastic gradient descent (SGD)-like algorithms are successful in training deep neural networks (DNNs).
1 code implementation • CVPR 2023 • Yushuang Wu, Zizheng Yan, Ce Chen, Lai Wei, Xiao Li, Guanbin Li, Yihao Li, Shuguang Cui, Xiaoguang Han
Thus, we propose a new task, SCoDA, for the domain adaptation of real scan shape completion from synthetic data.
no code implementations • 3 Apr 2023 • Mingxiao Li, Rui Jin, Liyao Xiang, Kaiming Shen, Shuguang Cui
The traditional methods for data compression are typically based on the symbol-level statistics, with the information source modeled as a long sequence of i. i. d.
1 code implementation • 21 Mar 2023 • Chaoda Zheng, Xu Yan, Haiming Zhang, Baoyuan Wang, Shenghui Cheng, Shuguang Cui, Zhen Li
Due to the motion-centric nature, our method shows its impressive generalizability with limited training labels and provides good differentiability for end-to-end cycle training.
no code implementations • CVPR 2023 • Xianggang Yu, Mutian Xu, Yidan Zhang, Haolin Liu, Chongjie Ye, Yushuang Wu, Zizheng Yan, Chenming Zhu, Zhangyang Xiong, Tianyou Liang, GuanYing Chen, Shuguang Cui, Xiaoguang Han
The birth of ImageNet drives a remarkable trend of "learning from large-scale data" in computer vision.
1 code implementation • 6 Mar 2023 • Yuqi Zhang, GuanYing Chen, Shuguang Cui
Based on this hybrid representation, we propose a fast optimization NeRF variant, called GP-NeRF, that achieves better rendering results while maintaining a compact model size.
1 code implementation • CVPR 2023 • Yujian Zheng, Zirong Jin, Moran Li, Haibin Huang, Chongyang Ma, Shuguang Cui, Xiaoguang Han
We firmly think an intermediate representation is essential, but we argue that orientation map using the dominant filtering-based methods is sensitive to uncertain noise and far from a competent representation.
no code implementations • ICCV 2023 • Zhangyang Xiong, Di Kang, Derong Jin, Weikai Chen, Linchao Bao, Shuguang Cui, Xiaoguang Han
Specifically, we bridge the latent space of Get3DHuman with that of StyleGAN-Human via a specially-designed prior network, where the input latent code is mapped to the shape and texture feature volumes spanned by the pixel-aligned 3D reconstructor.
1 code implementation • 12 Jan 2023 • Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu
To tackle these issues, we propose an adaptive context selection based encoder-decoder framework which is composed of Local Context Attention (LCA) module, Global Context Module (GCM) and Adaptive Selection Module (ASM).
1 code implementation • 3 Jan 2023 • Xu Yan, Chaoda Zheng, Zhen Li, Shuguang Cui, Dengxin Dai
In this paper, we aim to comprehensively analyze the robustness of LiDAR semantic segmentation models under various corruptions.
no code implementations • CVPR 2023 • Wending Zhou, Xu Yan, Yinghong Liao, Yuankai Lin, Jin Huang, Gangming Zhao, Shuguang Cui, Zhen Li
In practice, the proposed BEV@DC model comprehensively takes advantage of LiDARs with rich geometric details in training, employing an enhanced depth completion manner in inference, which takes only images (RGB and depth) as input.
1 code implementation • 15 Dec 2022 • Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui
Gaussian process state-space model (GPSSM) is a fully probabilistic state-space model that has attracted much attention over the past decade.
1 code implementation • 9 Dec 2022 • Shuliang Ning, Mengcheng Lan, Yanran Li, Chaofeng Chen, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui
The mainstream of the existing approaches for video prediction builds up their models based on a Single-In-Single-Out (SISO) architecture, which takes the current frame as input to predict the next frame in a recursive manner.
no code implementations • 7 Dec 2022 • Jun Wei, Yiwen Hu, Guanbin Li, Shuguang Cui, S Kevin Zhou, Zhen Li
In practice, box annotations are applied to alleviate the over-fitting issue of previous polyp segmentation models, which generate fine-grained polyp area through the iterative boosted segmentation model.
no code implementations • 2 Dec 2022 • Yinghong Liao, Wending Zhou, Xu Yan, Shuguang Cui, Yizhou Yu, Zhen Li
Moreover, to improve the 2D classifier in the target domain, we perform domain-invariant geometric adaptation from source to target and unify the 2D semantic and 3D geometric segmentation results in two domains.
no code implementations • 10 Nov 2022 • Haoning Zhang, Junwei Bao, Haipeng Sun, Youzheng Wu, Wenye Li, Shuguang Cui, Xiaodong He
Then, the noised previous state is used as the input to learn to predict the current state, improving the model's ability to update and correct slot values.
no code implementations • 8 Nov 2022 • Jun Gao, Dongze Wu, Feng Yin, Qinglei Kong, Lexi Xu, Shuguang Cui
The framework introduces two paradigms for the optimization of meta-parameters: a centralized paradigm that simplifies the process by sharing data from all historical environments, and a distributed paradigm that maintains data privacy by training meta-parameters for each specific environment separately.
no code implementations • 11 Oct 2022 • Haoning Zhang, Junwei Bao, Haipeng Sun, Huaishao Luo, Wenye Li, Shuguang Cui
The unlabeled data of the DST task is incorporated into the self-training iterations, where the pseudo labels are predicted by a DST model trained on limited labeled data in advance.
2 code implementations • 9 Oct 2022 • Xu Yan, Heshen Zhan, Chaoda Zheng, Jiantao Gao, Ruimao Zhang, Shuguang Cui, Zhen Li
Specifically, this paper introduces a simple but effective point cloud cross-modality training (PointCMT) strategy, which utilizes view-images, i. e., rendered or projected 2D images of the 3D object, to boost point cloud analysis.
Ranked #10 on
3D Point Cloud Classification
on ModelNet40
no code implementations • 4 Oct 2022 • Yuncheng Jiang, Zixun Zhang, Shixi Qin, Yao Guo, Zhen Li, Shuguang Cui
In 3D medical image segmentation, small targets segmentation is crucial for diagnosis but still faces challenges.
no code implementations • 21 Sep 2022 • Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui
Compared to model-free RL, this model-based RL approach leverages the derived mathematical characterization of the FL training process to discover an effective device selection and quantization scheme without imposing additional device communication overhead.
no code implementations • 13 Sep 2022 • Yueru Luo, Xu Yan, Chaoda Zheng, Chao Zheng, Shuqi Mei, Tang Kun, Shuguang Cui, Zhen Li
Estimating accurate lane lines in 3D space remains challenging due to their sparse and slim nature.
Ranked #5 on
3D Lane Detection
on OpenLane
no code implementations • 17 Aug 2022 • Yining Wang, Mingzhe Chen, Tao Luo, Walid Saad, Dusit Niyato, H. Vincent Poor, Shuguang Cui
Hence, the BS must select an appropriate resource block for each user as well as determine and transmit part of the semantic information to the users.
no code implementations • 12 Aug 2022 • Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui
This dynamically personalized FL technique incentivizes clients to participate in personalizing local models while allowing the adoption of the global model when it performs better.
no code implementations • 7 Aug 2022 • Zezhong Zhang, Guangxu Zhu, Shuguang Cui
To accelerate the training process, we propose a truncated vertical federated learning (T-VFL) algorithm, where the training latency is highly reduced by integrating the standard VFL algorithm with a channel-aware user scheduling policy.
1 code implementation • 1 Aug 2022 • Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu
This paper proposes a new efficient approach for composable text operations in the compact latent space of text.
Ranked #2 on
Unsupervised Text Style Transfer
on Yelp
1 code implementation • 18 Jul 2022 • Haolin Liu, Yujian Zheng, GuanYing Chen, Shuguang Cui, Xiaoguang Han
We present a new framework to reconstruct holistic 3D indoor scenes including both room background and indoor objects from single-view images.
no code implementations • 5 Jul 2022 • Zhihao Yuan, Xu Yan, Zhuo Li, Xuhao Li, Yao Guo, Shuguang Cui, Zhen Li
Recent progress in 3D scene understanding has explored visual grounding (3DVG) to localize a target object through a language description.
no code implementations • 3 Jul 2022 • Dingzhu Wen, Peixi Liu, Guangxu Zhu, Yuanming Shi, Jie Xu, Yonina C. Eldar, Shuguang Cui
This paper studies a new multi-device edge artificial-intelligent (AI) system, which jointly exploits the AI model split inference and integrated sensing and communication (ISAC) to enable low-latency intelligent services at the network edge.
no code implementations • 1 Jun 2022 • Liang Liu, Shuowen Zhang, Rui Du, Tong Xiao Han, Shuguang Cui
This article will discuss about the possibility of exploiting the future sixth-generation (6G) cellular network to realize ISAC.
no code implementations • 19 May 2022 • Rui Chen, Dian Shi, Xiaoqi Qin, Dongjie Liu, Miao Pan, Shuguang Cui
In this paper, we propose a service delay efficient FL (SDEFL) scheme over mobile devices.
1 code implementation • 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.
Ranked #2 on
Semi-supervised Domain Adaptation
on VisDA2017
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 • CVPR 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.
Ranked #1 on
Object Tracking
on KITTI
1 code implementation • CVPR 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, Shengcai Cai, Zizheng Yan, 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.
Representation Learning
Weakly supervised Semantic Segmentation
+1
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 • CVPR 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.
no code implementations • CVPR 2022 • Lingteng Qiu, Zhangyang Xiong, Xuhao Wang, Kenkun Liu, Yihan Li, GuanYing Chen, Xiaoguang Han, Shuguang Cui
Inspired by the fact that X-ray has a strong penetrating power to see through the bag and overlapping objects, we propose to perform waste inspection efficiently using X-ray images without the need to open the bag.
1 code implementation • 22 Dec 2021 • Xu Yan, Zhihao Yuan, Yuhao Du, Yinghong Liao, Yao Guo, Zhen Li, Shuguang Cui
To tackle this problem, we propose the CLEVR3D, a large-scale VQA-3D dataset consisting of 171K questions from 8, 771 3D 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.
Ranked #2 on
Object Tracking
on KITTI
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 #9 on
Video Polyp Segmentation
on SUN-SEG-Easy (Unseen)
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 • 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.
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.
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.
1 code implementation • 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.
2 code implementations • 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.
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
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 • 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.
2 code implementations • 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.
Ranked #3 on
3D Semantic Scene Completion
on SemanticKITTI
3D Semantic Scene Completion from a single RGB image
3D Semantic Segmentation
+3
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.
Ranked #25 on
Semantic Segmentation
on S3DIS
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.