1 code implementation • 15 Sep 2023 • Gongyang Li, Zhen Bai, Zhi Liu, Xinpeng Zhang, Haibin Ling
KTM models the contextual correlation knowledge of two middle-level features of different scales based on the self-attention mechanism, and transfers the knowledge to the raw features to generate more discriminative features.
1 code implementation • 27 Jun 2023 • Gongyang Li, Chengjun Han, Zhi Liu
DIB is specifically designed for the feature interaction of the enhanced features.
no code implementations • 25 May 2023 • Zihan Wang, Yang Yang, Zhi Liu, Yifan Zheng
Our current related research addresses multiple novel proposed research works and compares their advantages and disadvantages between the derived deep learning frameworks rather than machine learning frameworks.
no code implementations • 15 May 2023 • Songning Lai, Xifeng Hu, Yulong Li, Zhaoxia Ren, Zhi Liu, Danmin Miao
In this work, we propose a deep modal shared information learning module based on the covariance matrix to capture the shared information between modalities.
no code implementations • 12 May 2023 • Songning Lai, Xifeng Hu, Haoxuan Xu, Zhaoxia Ren, Zhi Liu
Multimodal sentiment analysis has become an important research area in the field of artificial intelligence.
1 code implementation • 7 Mar 2023 • Rui Xu, Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang
To address this issue, we propose a slice grouped domain attention (SGDA) module to enhance the generalization capability of the pulmonary nodule detection networks.
1 code implementation • 18 Feb 2023 • Qiyue Li, Huan Luo, Hong Cheng, Yuxing Deng, Wei Sun, Weitao Li, Zhi Liu
Incipient fault detection in power distribution systems is crucial to improve the reliability of the grid.
1 code implementation • 7 Jan 2023 • Gongyang Li, Zhi Liu, Xinpeng Zhang, Weisi Lin
Then, semantic kernels are used to activate salient object locations in two groups of high-level features through dynamic convolution operations in DSMM.
no code implementations • 28 Nov 2022 • Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu
Since Rendle and Krichene argued that commonly used sampling-based evaluation metrics are "inconsistent" with respect to the global metrics (even in expectation), there have been a few studies on the sampling-based recommender system evaluation.
no code implementations • 4 Nov 2022 • Hanyi Hu, Long Zhang, Shuan Li, Zhi Liu, Yao Yang, Chongning Na
In financial fraud detection, the modus operandi of criminals can be identified by analyzing user profile and their behaviors such as transaction, loaning etc.
1 code implementation • 26 Oct 2022 • Gongyang Li, Yike Wang, Zhi Liu, Xinpeng Zhang, Dan Zeng
The highlight of LASNet is that we fully consider the characteristics of cross-modal features at different levels, and accordingly propose three specific modules for better segmentation.
Ranked #21 on
Thermal Image Segmentation
on MFN Dataset
no code implementations • 18 Oct 2022 • Yong Wu, Shekhor Chanda, Mehrdad Hosseinzadeh, Zhi Liu, Yang Wang
In this paper, we propose task-specific meta distillation that simultaneously learns two models in meta-learning: a large teacher model and a small student model.
1 code implementation • 5 Jul 2022 • Zhi Liu, Shaoyu Chen, Xiaojie Guo, Xinggang Wang, Tianheng Cheng, Hongmei Zhu, Qian Zhang, Wenyu Liu, Yi Zhang
In this work, we propose PolarBEV for vision-based uneven BEV representation learning.
no code implementations • 31 May 2022 • Qiang Liu, Zhi Liu
Jumps and market microstructure noise are stylized features of high-frequency financial data.
1 code implementation • 19 Apr 2022 • Zhi Liu, Uma Bhandaram, Nikhil Garg
A major concern is that residents do not report problems at the same rates, with heterogeneous reporting delays directly translating to downstream disparities in how quickly incidents can be addressed.
1 code implementation • 25 Mar 2022 • Gongyang Li, Zhi Liu, Dan Zeng, Weisi Lin, Haibin Ling
As the key component of ACCoNet, ACCoM activates the salient regions of output features of the encoder and transmits them to the decoder.
no code implementations • 14 Mar 2022 • Xing Chu, Zhi Liu, Lei Mao, Xin Jin, Zhaoxia Peng, Guoguang Wen
In this brief, an improved event-triggered update mechanism (ETM) for the linear quadratic regulator is proposed to solve the lateral motion control problem of intelligent vehicle under bounded disturbances.
1 code implementation • 29 Jan 2022 • Jie Li, Ling Han, Cong Zhang, Qiyue Li, Zhi Liu
Most of the current prediction methods combining saliency detection and FoV information neither take into account that the distortion of projected 360-degree videos can invalidate the weight sharing of traditional convolutional networks, nor do they adequately consider the difficulty of obtaining complete multi-user FoV information, which degrades the prediction performance.
1 code implementation • 20 Jan 2022 • Gongyang Li, Zhi Liu, Zhen Bai, Weisi Lin, and Haibin Ling
Then, following the coarse-to-fine strategy, we generate an initial coarse saliency map from high-level semantic features in a Correlation Module (CorrM).
no code implementations • 22 Dec 2021 • Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang
Considering uncertainties and voltage fluctuation issues introduced by RERs, in this paper, we propose a deep reinforcement learning (DRL)-based strategy leveraging spatial-temporal (ST) graphical information of power systems, to dynamically search for the optimal operation, i. e., optimal power flow (OPF), of power systems with a high uptake of RERs.
1 code implementation • 2 Dec 2021 • Gongyang Li, Zhi Liu, Weisi Lin, Haibin Ling
In this paper, we propose a novel Multi-Content Complementation Network (MCCNet) to explore the complementarity of multiple content for RSI-SOD.
no code implementations • 29 Sep 2021 • Dong Li, Zhenming Liu, Ruoming Jin, Zhi Liu, Jing Gao, Bin Ren
Recently, a wide range of recommendation algorithms inspired by deep learning techniques have emerged as the performance leaders several standard recommendation benchmarks.
no code implementations • 24 Aug 2021 • Ziqiang Wang, Zhi Liu, Gongyang Li, Yang Wang, Tianhong Zhang, Lihua Xu, Jijun Wang
3D convolutional neural networks have achieved promising results for video tasks in computer vision, including video saliency prediction that is explored in this paper.
no code implementations • 20 Jun 2021 • Dong Li, Ruoming Jin, Jing Gao, Zhi Liu
Recently, Rendle has warned that the use of sampling-based top-$k$ metrics might not suffice.
no code implementations • 27 May 2021 • Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou
Through the derivation and analysis of the closed-form solutions for two basic regression and matrix factorization approaches, we found these two approaches are indeed inherently related but also diverge in how they "scale-down" the singular values of the original user-item interaction matrix.
no code implementations • IEEE Transactions on Parallel and Distributed Systems 2021 • Yidi Wu, Kaihao Ma, Xiao Yan, Zhi Liu, Zhenkun Cai, Yuzhen Huang, James Cheng, Han Yuan, Fan Yu
We study how to support elasticity, that is, the ability to dynamically adjust the parallelism (i. e., the number of GPUs), for deep neural network (DNN) training in a GPU cluster.
no code implementations • 2 Mar 2021 • Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu
The proposed approaches either are rather uninformative (linking sampling to metric evaluation) or can only work on simple metrics, such as Recall/Precision (Krichene and Rendle 2020; Li et al. 2020).
no code implementations • 9 Feb 2021 • Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, Yang Wang
In this paper, we propose a cross-modal self-attention (CMSA) module to utilize fine details of individual words and the input image or video, which effectively captures the long-range dependencies between linguistic and visual features.
Ranked #5 on
Referring Expression Segmentation
on J-HMDB
(Precision@0.9 metric)
1 code implementation • 22 Jan 2021 • Gongyang Li, Zhi Liu, Ran Shi, Zheng Hu, Weijie Wei, Yong Wu, Mengke Huang, Haibin Ling
In this paper, we focus on Personal Fixations-based Object Segmentation (PFOS) to address issues in previous studies, such as the lack of appropriate dataset and the ambiguity in fixations-based interaction.
1 code implementation • 3 Sep 2020 • Pengyuan Zhou, Xianfu Chen, Zhi Liu, Tristan Braud, Pan Hui, Jussi Kangasharju
To this end, we propose a Decentralized Reinforcement Learning at the Edge for traffic light control in the IoV (DRLE).
no code implementations • 15 Jul 2020 • Xianfu Chen, Celimuge Wu, Tao Chen, Zhi Liu, Honggang Zhang, Mehdi Bennis, Hang Liu, Yusheng Ji
Using the proposed deep RL scheme, each MU in the system is able to make decisions without a priori statistical knowledge of dynamics.
no code implementations • 15 Jul 2020 • Xianfu Chen, Celimuge Wu, Zhi Liu, Ning Zhang, Yusheng Ji
Facing the trend of merging wireless communications and multi-access edge computing (MEC), this article studies computation offloading in the beyond fifth-generation networks.
2 code implementations • ECCV 2020 • Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, Haibin Ling
In this paper, we propose a novel Cross-Modal Weighting (CMW) strategy to encourage comprehensive interactions between RGB and depth channels for RGB-D SOD.
Ranked #9 on
RGB-D Salient Object Detection
on NJU2K
no code implementations • 28 Apr 2020 • Micheal S. Berger, Zhi Liu
In a gravitational collapse scenario, they also depend on the details of the collapsing classical matter which determines the background spacetime.
General Relativity and Quantum Cosmology High Energy Physics - Theory
no code implementations • 12 Apr 2020 • Zhi Liu, Yan Huang, Jing Gao, Li Chen, Dong Li
Similar product recommendation is one of the most common scenes in e-commerce.
no code implementations • 10 Apr 2020 • Zhi Liu, Jianwei Wang, Yuyu Xu, Mengchen Guo, Kai Mi, Rui Xu, Yang Pei, Qiangkun Zhang, Xiaoting Luan, Zhibin Hu, Xingyin Liu#
The outbreak of COVID-19 caused by SARS-CoV-2 has rapidly spread worldwide and has caused over 1, 400, 000 infections and 80, 000 deaths.
Genomics Biomolecules
no code implementations • 30 Jan 2020 • Linwei Ye, Zhi Liu, Yang Wang
Given an input image and a referring expression in the form of a natural language sentence, the goal is to segment the object of interest in the image referred by the linguistic query.
no code implementations • 23 Nov 2019 • Jietao Liu, Zhi Liu, Ioannis Papakonstantinou, Xiaopeng Shao
In this study, we demonstrate first, to the best of our knowledge, robust and dynamically polarization-controlled tunable-high-Q PIT in designed nanostructures metasurface, whose sharp resonance is guaranteed by design and protected against large geometrical imperfections.
Optics Applied Physics
no code implementations • 6 Aug 2019 • Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, Mehdi Bennis
In this paper, we investigate the problem of age of information (AoI)-aware radio resource management for expected long-term performance optimization in a Manhattan grid vehicle-to-vehicle network.
no code implementations • 13 Jul 2019 • Yu Gu, Xiang Zhang, Zhi Liu, Fuji Ren
The ever evolving informatics technology has gradually bounded human and computer in a compact way.
no code implementations • 4 Jul 2019 • Alexandre Bruckert, Hamed R. -Tavakoli, Zhi Liu, Marc Christie, Olivier Le Meur
We demonstrate that on a fixed network architecture, modifying the loss function can significantly improve (or depreciate) the results, hence emphasizing the importance of the choice of the loss function when designing a model.
1 code implementation • CVPR 2019 • Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang
This module controls the information flow of features at different levels.
Ranked #5 on
Referring Video Object Segmentation
on Refer-YouTube-VOS
(using extra training data)
no code implementations • 15 Apr 2018 • Qiyue Li, Heng Qu, Zhi Liu, Nana Zhou, Wei Sun, Jie Li
Based on the extended fingerprint database, the accuracy of indoor localization system can be improved with reduced human effort.
Networking and Internet Architecture
no code implementations • 1 Feb 2018 • Linwei Ye, Zhi Liu, Yang Wang
Models based on deep convolutional neural networks (CNN) have significantly improved the performance of semantic segmentation.
no code implementations • 12 Aug 2017 • Lei Zhou, Zhi Liu, Xiangjian He
In this work, we address the face parsing task with a Fully-Convolutional continuous CRF Neural Network (FC-CNN) architecture.
no code implementations • 15 Feb 2017 • Olivier Le Meur, Antoine Coutrot, Zhi Liu, Adrien Le Roch, Andrea Helo, Pia Rama
In this paper, we demonstrate that the computational modelling of visual attention, through the use of saccadic model, can be efficiently adapted to emulate the gaze behavior of a specific group of observers.
no code implementations • 24 Jul 2015 • Shitao Weng, Shushan Chen, Lei Yu, Xuewei Wu, Weicheng Cai, Zhi Liu, Ming Li
In order to detect these spoofed speech signals as a countermeasure, we propose a score level fusion approach with several different i-vector subsystems.