no code implementations • COLING 2022 • Peichao Lai, Feiyang Ye, Lin Zhang, Zhiwei Chen, Yanggeng Fu, Yingjie Wu, Yilei Wang
Achieving good performance on few-shot or zero-shot datasets has been a long-term challenge for NER.
no code implementations • 6 Apr 2024 • Pengyuan Lu, Lin Zhang, Mengyu Liu, Kaustubh Sridhar, Fanxin Kong, Oleg Sokolsky, Insup Lee
Cyber-physical systems (CPS) have experienced rapid growth in recent decades.
1 code implementation • 20 Mar 2024 • Zhouhong Gu, Xiaoxuan Zhu, Haoran Guo, Lin Zhang, Yin Cai, Hao Shen, Jiangjie Chen, Zheyu Ye, Yifei Dai, Yan Gao, Yao Hu, Hongwei Feng, Yanghua Xiao
Language significantly influences the formation and evolution of Human emergent behavior, which is crucial in understanding collective intelligence within human societies.
no code implementations • 8 Mar 2024 • Lin Zhang, Shentong Mo, Yijing Zhang, Pedro Morgado
We hope our established benchmark can open new avenues for controllable visual generation.
1 code implementation • 31 Jan 2024 • Congyu Fang, Adam Dziedzic, Lin Zhang, Laura Oliva, Amol Verma, Fahad Razak, Nicolas Papernot, Bo wang
In addition, the ML models trained with DeCaPH framework in general outperform those trained solely with the private datasets from individual parties, showing that DeCaPH enhances the model generalizability.
1 code implementation • 10 Jan 2024 • Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando de la Torre
Unsupervised domain adaptation (UDA) for image classification has made remarkable progress in transferring classification knowledge from a labeled source domain to an unlabeled target domain, thanks to effective domain alignment techniques.
no code implementations • 10 Dec 2023 • Zhilin Du, Haozhen Li, Zhenyu Liu, Shilong Fan, Xinyu Gu, Lin Zhang
The advent of deep learning (DL)-based models has significantly advanced Channel State Information (CSI) feedback mechanisms in wireless communication systems.
no code implementations • 17 Nov 2023 • Jingyun Feng, Lin Zhang, Lili Yang
Existing approaches often rely on Variational Auto-Encoder (VAE) or its causal structure learning-based refinement, which suffer from sub-optimality in VAEs due to the independence factor assumption and unavailability of concept labels, respectively.
1 code implementation • 2 Oct 2023 • Yiyao Yu, Junjie Wang, Yuxiang Zhang, Lin Zhang, Yujiu Yang, Tetsuya Sakai
Artificial intelligence (AI) technologies should adhere to human norms to better serve our society and avoid disseminating harmful or misleading information, particularly in Conversational Information Retrieval (CIR).
1 code implementation • 19 Sep 2023 • Ruiqi Xu, Yongfeng Huang, Xin Chen, Lin Zhang
In this work, we introduce the concept of complex text style transfer tasks, and constructed complex text datasets based on two widely applicable scenarios.
no code implementations • 26 Aug 2023 • Zheng Li, Xiaoyan Zhou, Zongze Li, Guanju Peng, Yuhao Guo, Lin Zhang
Optical packet header recognition is an important signal processing task of optical communication networks.
no code implementations • 7 Aug 2023 • Longteng Zhang, Lin Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li
The low-rank adaptation (LoRA) method can largely reduce the amount of trainable parameters for fine-tuning large language models (LLMs), however, it still requires expensive activation memory to update low-rank weights.
no code implementations • 4 Aug 2023 • Lin Zhang, Shaohuai Shi, Bo Li
Second-order optimization algorithms exhibit excellent convergence properties for training deep learning models, but often incur significant computation and memory overheads.
no code implementations • 11 Jul 2023 • Zhouhong Gu, Lin Zhang, Jiangjie Chen, Haoning Ye, Xiaoxuan Zhu, Zihan Li, Zheyu Ye, Yan Gao, Yao Hu, Yanghua Xiao, Hongwei Feng
We introduces the DetectBench, a reading comprehension dataset designed to assess a model's ability to jointly ability in key information detection and multi-hop reasoning when facing complex and implicit information.
1 code implementation • 15 Jun 2023 • Lin Zhang, Longteng Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li
To accelerate distributed training, many gradient compression methods have been proposed to alleviate the communication bottleneck in synchronous stochastic gradient descent (S-SGD), but their efficacy in real-world applications still remains unclear.
1 code implementation • 10 Jun 2023 • Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang
Subgraph matching is a fundamental building block for graph-based applications and is challenging due to its high-order combinatorial nature.
2 code implementations • 9 Jun 2023 • Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Jianchen Wang, Yixin Zhu, Sihang Jiang, Zhuozhi Xiong, Zihan Li, Weijie Wu, Qianyu He, Rui Xu, Wenhao Huang, Jingping Liu, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao
New Natural Langauge Process~(NLP) benchmarks are urgently needed to align with the rapid development of large language models (LLMs).
1 code implementation • 8 Jun 2023 • Xinhang Li, Yiying Yang, Zheng Yuan, Zhe Wang, Qinwen Wang, Chen Xu, Lei LI, Jianhua He, Lin Zhang
For the more challenging problem of pursuing multiple evading vehicles, these algorithms typically select a fixed target evading vehicle for pursuing vehicles without considering dynamic traffic situation, which significantly reduces pursuing success rate.
1 code implementation • 28 May 2023 • Lin Zhang, Xin Wang, Erica Cooper, Nicholas Evans, Junichi Yamagishi
To properly measure misclassified ranges and better evaluate spoof localization performance, we upgrade point-based EER to range-based EER.
1 code implementation • 27 May 2023 • Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang
Event skeleton generation, aiming to induce an event schema skeleton graph with abstracted event nodes and their temporal relations from a set of event instance graphs, is a critical step in the temporal complex event schema induction task.
1 code implementation • 23 May 2023 • Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu
Neural architecture search (NAS) for Graph neural networks (GNNs), called NAS-GNNs, has achieved significant performance over manually designed GNN architectures.
1 code implementation • 10 May 2023 • Jiaqi Sun, Lin Zhang, Guangyi Chen, Kun Zhang, Peng Xu, Yujiu Yang
Graph neural networks aim to learn representations for graph-structured data and show impressive performance, particularly in node classification.
no code implementations • 25 Apr 2023 • Yu Zhang, Lin Zhang
In this study, we investigated nine promising models to evaluate their performance in pavement surface crack detection by model accuracy, computational complexity, and model stability.
no code implementations • 23 Apr 2023 • Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Zhuozhi Xiong, Zihan Li, Qianyu He, Sihang Jiang, Hongwei Feng, Yanghua Xiao
Domain knowledge refers to the in-depth understanding, expertise, and familiarity with a specific subject, industry, field, or area of special interest.
1 code implementation • 14 Apr 2023 • Qijie Bai, JiaWen Guo, Haiwei Zhang, Changli Nie, Lin Zhang, Xiaojie Yuan
Temporal heterogeneous information network (temporal HIN) embedding, aiming to represent various types of nodes of different timestamps into low dimensional spaces while preserving structural and semantic information, is of vital importance in diverse real-life tasks.
no code implementations • 30 Mar 2023 • Haozhen Li, Xinyu Gu, Boyuan Zhang, Dongliang Li, Zhenyu Liu, Lin Zhang
Deep Learning (DL)-based channel state information (CSI) feedback is a promising technique for the transmitter to accurately acquire the CSI of massive multiple-input multiple-output (MIMO) systems.
1 code implementation • ICCV 2023 • Lin Zhang, Xin Li, Dongliang He, Errui Ding, Zhaoxiang Zhang
To this end, we construct a large-scale, multi-reference super-resolution dataset, named LMR.
no code implementations • 6 Mar 2023 • Lin Zhang
Artificial intelligence (AI) has a history of nearly a century from its inception to the present day.
1 code implementation • 24 Feb 2023 • Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu
Communication scheduling has been shown to be effective in accelerating distributed training, which enables all-reduce communications to be overlapped with backpropagation computations.
no code implementations • 21 Feb 2023 • Lin Zhang, Tiziano Portenier, Orcun Goksel
We introduce a contrastive learning framework for generating photorealistic images from simulated label maps, by learning from unpaired sets of both.
no code implementations • 24 Dec 2022 • Lin Zhang, Rui Li
There has been little work on designing friend suggestion when facing these difficulties, and for the first time we aim to tackle this in large scale online games.
no code implementations • 24 Dec 2022 • Lin Zhang, Nicholas Moskwa, Melinda Larsen, Petko Bogdanov
We address these challenges within an unsupervised framework for joint subnetwork and instance selection in network data, called UISS, via a convex self-representation objective.
no code implementations • 20 Dec 2022 • Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas Guibas
Task transfer learning is a popular technique in image processing applications that uses pre-trained models to reduce the supervision cost of related tasks.
no code implementations • 8 Nov 2022 • Lin Zhang, Xin Li, Dongliang He, Fu Li, Yili Wang, Zhaoxiang Zhang
While previous state-of-the-art RefSR methods mainly focus on improving the efficacy and robustness of reference feature transfer, it is generally overlooked that a well reconstructed SR image should enable better SR reconstruction for its similar LR images when it is referred to as.
1 code implementation • 28 Oct 2022 • Xinyu Zhu, Junjie Wang, Lin Zhang, Yuxiang Zhang, Ruyi Gan, Jiaxing Zhang, Yujiu Yang
This inspires us to develop a cooperative reasoning-induced PLM for solving MWPs, called Cooperative Reasoning (CoRe), resulting in a human-like reasoning architecture with system 1 as the generator and system 2 as the verifier.
Ranked #104 on Arithmetic Reasoning on GSM8K
1 code implementation • 24 Oct 2022 • Yiying Yang, Xinhang Li, Zheng Yuan, Qinwen Wang, Chen Xu, Lin Zhang
However, existing works on MVP pay little attention to the importance of information exchange and cooperation among pursuing vehicles under the complex urban traffic environment.
1 code implementation • 16 Oct 2022 • Ping Yang, Junjie Wang, Ruyi Gan, Xinyu Zhu, Lin Zhang, Ziwei Wu, Xinyu Gao, Jiaxing Zhang, Tetsuya Sakai
We propose a new paradigm for zero-shot learners that is format agnostic, i. e., it is compatible with any format and applicable to a list of language tasks, such as text classification, commonsense reasoning, coreference resolution, and sentiment analysis.
1 code implementation • 15 Oct 2022 • Jiaqi Sun, Lin Zhang, Shenglin Zhao, Yujiu Yang
Graph neural networks (GNNs) hold the promise of learning efficient representations of graph-structured data, and one of its most important applications is semi-supervised node classification.
no code implementations • 11 Oct 2022 • Xiaohui Liu, Meng Liu, Lin Zhang, Linjuan Zhang, Chang Zeng, Kai Li, Nan Li, Kong Aik Lee, Longbiao Wang, Jianwu Dang
The Audio Deep Synthesis Detection (ADD) Challenge has been held to detect generated human-like speech.
1 code implementation • CVPR 2023 • Yatai Ji, Junjie Wang, Yuan Gong, Lin Zhang, Yanru Zhu, Hongfa Wang, Jiaxing Zhang, Tetsuya Sakai, Yujiu Yang
Multimodal semantic understanding often has to deal with uncertainty, which means the obtained messages tend to refer to multiple targets.
no code implementations • 10 Oct 2022 • Ruotian Ma, Xuanting Chen, Lin Zhang, Xin Zhou, Junzhe Wang, Tao Gui, Qi Zhang, Xiang Gao, Yunwen Chen
In this work, we conduct an empirical study on the "Unlabeled Entity Problem" and find that it leads to severe confusion between "O" and entities, decreasing class discrimination of old classes and declining the model's ability to learn new classes.
no code implementations • 19 Sep 2022 • Yifan Wang, Lin Zhang, Ran Song, Paul L. Rosin, Yibin Li, Wei zhang
It fully utilizes the relationship between a target sample and its neighbors in the source domain to avoid the influence of domain misalignment.
1 code implementation • 7 Sep 2022 • Jiaxing Zhang, Ruyi Gan, Junjie Wang, Yuxiang Zhang, Lin Zhang, Ping Yang, Xinyu Gao, Ziwei Wu, Xiaoqun Dong, Junqing He, Jianheng Zhuo, Qi Yang, Yongfeng Huang, Xiayu Li, Yanghan Wu, Junyu Lu, Xinyu Zhu, Weifeng Chen, Ting Han, Kunhao Pan, Rui Wang, Hao Wang, XiaoJun Wu, Zhongshen Zeng, Chongpei Chen
We hope that this project will be the foundation of Chinese cognitive intelligence.
no code implementations • 1 Sep 2022 • Chang Zeng, Lin Zhang, Meng Liu, Junichi Yamagishi
Current state-of-the-art automatic speaker verification (ASV) systems are vulnerable to presentation attacks, and several countermeasures (CMs), which distinguish bona fide trials from spoofing ones, have been explored to protect ASV.
3 code implementations • 23 Aug 2022 • Ren Yang, Radu Timofte, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei LI, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng
The homepage of this challenge is at https://github. com/RenYang-home/AIM22_CompressSR.
no code implementations • 19 Jul 2022 • Yifan Wang, Lin Zhang, Ran Song, Hongliang Li, Paul L. Rosin, Wei zhang
Specifically, we introduce a knowability-based labeling scheme which can be divided into two steps: 1) Knowability-guided detection of known and unknown samples based on the intrinsic structure of the neighborhoods of samples, where we leverage the first singular vectors of the affinity matrices to obtain the knowability of every target sample.
no code implementations • 2 Jul 2022 • Huanhui Cao, Zhiyuan Cai, Hairuo Wei, Wenjie Lu, Lin Zhang, Hao Xiong
Reinforcement Learning (RL) algorithms show amazing performance in recent years, but placing RL in real-world applications such as self-driven vehicles may suffer safety problems.
1 code implementation • 30 Jun 2022 • Lin Zhang, Shaohuai Shi, Wei Wang, Bo Li
The second-order optimization methods, notably the D-KFAC (Distributed Kronecker Factored Approximate Curvature) algorithms, have gained traction on accelerating deep neural network (DNN) training on GPU clusters.
1 code implementation • 9 Jun 2022 • Si Shen, Jiangfeng Liu, Litao Lin, Ying Huang, Lin Zhang, Chang Liu, Yutong Feng, Dongbo Wang
The academic literature of social sciences records human civilization and studies human social problems.
1 code implementation • 6 Jun 2022 • Shenhong Li, Sheng He, San Jiang, Wanshou Jiang, Lin Zhang
The WHU-Stereo dataset can serve as a challenging benchmark for stereo matching of high-resolution satellite images, and performance evaluation of deep learning models.
no code implementations • 18 Apr 2022 • Boyuan Zhang, Haozhen Li, Xin Liang, Xinyu Gu, Lin Zhang
Deep learning has been widely applied for the channel state information (CSI) feedback in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system.
no code implementations • 11 Apr 2022 • Lin Zhang, Xin Wang, Erica Cooper, Nicholas Evans, Junichi Yamagishi
Since the short spoofed speech segments to be embedded by attackers are of variable length, six different temporal resolutions are considered, ranging from as short as 20 ms to as large as 640 ms. Third, we propose a new CM that enables the simultaneous use of the segment-level labels at different temporal resolutions as well as utterance-level labels to execute utterance- and segment-level detection at the same time.
1 code implementation • 10 Apr 2022 • Xinhang Li, Zihao Li, Nan Yang, Zheng Yuan, Qinwen Wang, Yiying Yang, Yupeng Huang, Xuri Song, Lei LI, Lin Zhang
The expansion of renewable energy could help realizing the goals of peaking carbon dioxide emissions and carbon neutralization.
1 code implementation • CVPR 2022 • Lin Zhang, Li Shen, Liang Ding, DaCheng Tao, Ling-Yu Duan
Instead, we propose a data-free knowledge distillation method to fine-tune the global model in the server (FedFTG), which relieves the issue of direct model aggregation.
no code implementations • 17 Mar 2022 • Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Junhai Xu, Lin Zhang, Yantao Ji, Jianwu Dang
Therefore, in the most current state-of-the-art network architectures, only a few branches corresponding to a limited number of temporal scales could be designed for speaker embeddings.
2 code implementations • 4 Mar 2022 • Bing Zou, Yubo Zheng, Mu Shen, Yingying Luo, Lei LI, Lin Zhang
Commonly used EEG acquisition system's hardware and software are usually closed-source.
1 code implementation • 1 Mar 2022 • Zheng Yuan, Tianhao Wu, Qinwen Wang, Yiying Yang, Lei LI, Lin Zhang
Although there are some achievements in the field of MVP in the open space environment, the urban area brings complicated road structures and restricted moving spaces as challenges to the resolution of MVP games.
no code implementations • Hindawi Wireless Communications and Mobile Computing 2022 • Yabo Yin, Chuanhe Huang, Dong-Fang Wu, Shidong Huang, M. Wasim Abbas Ashraf, Qianqian Guo, Lin Zhang
Our purpose is to maximize the utility of the data offloaded from satellites to BSs while considering the load balance of BSs.
1 code implementation • CVPR 2022 • Yang Yang, Chaoyue Wang, Risheng Liu, Lin Zhang, Xiaojie Guo, DaCheng Tao
With estimated scene depth, our method is capable of re-rendering hazy images with different thicknesses which further benefits the training of the dehazing network.
1 code implementation • CVPR 2022 • Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li
Our method achieves the state-of-the-art performance on three video action recognition benchmarks (i. e., Kinetics-400, UCF-101, and HMDB-51) under several typical semi-supervised settings (i. e., different ratios of labeled data).
no code implementations • 30 Oct 2021 • Ruijie Xu, Lin Zhang, Yu Chen
Therefore, it is of great significance to elucidate the regulation mechanism over time points.
1 code implementation • 26 Oct 2021 • Ruiteng Zhang, Jianguo Wei, Wenhuan Lu, Lin Zhang, Yantao Ji, Junhai Xu, Xugang Lu
Automatic speaker verification (ASV) systems, which determine whether two speeches are from the same speaker, mainly focus on verification accuracy while ignoring inference speed.
no code implementations • 29 Sep 2021 • Lin Zhang, Li Shen, Liang Ding, DaCheng Tao, Lingyu Duan
On the contrary, we propose a new solution: on-the-fly fine-tuning the global model in server via data-free distillation to boost its performance, dubbed FLBoost to relieve the issue of direct model aggregation.
no code implementations • 24 Sep 2021 • Xenia Augustin, Lin Zhang, Orcun Goksel
We demonstrate the effectiveness of our proposed method for tomographic SoS reconstruction.
no code implementations • 24 Aug 2021 • Fei Ma, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang
Moreover, we develop a generalized form of the softmax function to effectively implement maximum likelihood estimation in an end-to-end manner.
1 code implementation • ICCV 2021 • Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming
Retrieving occlusion relation among objects in a single image is challenging due to sparsity of boundaries in image.
1 code implementation • 9 Aug 2021 • Zhe Wang, Xinhang Li, Tianhao Wu, Chen Xu, Lin Zhang
This paper proposes a Swarm-Federated Deep Learning framework in the IoV system (IoV-SFDL) that integrates SL into the FDL framework.
no code implementations • 20 Jul 2021 • Lin Zhang, Ling Feng, Kan Chen, Choy Heng Lai
Motivated by the edge of chaos principle behind the optimal performance of neural networks, we study the role of various hyperparameters in modern neural network training algorithms in terms of the order-chaos phase diagram.
no code implementations • 14 Jul 2021 • Shaohuai Shi, Lin Zhang, Bo Li
Specifically, 1) we first characterize the performance bottlenecks of D-KFAC, 2) we design and implement a pipelining mechanism for Kronecker factors computation and communication with dynamic tensor fusion, and 3) we develop a load balancing placement for inverting multiple matrices on GPU clusters.
1 code implementation • 2 Jul 2021 • Lin Zhang, Qi She, Zhengyang Shen, Changhu Wang
Contrastive learning applied to self-supervised representation learning has seen a resurgence in deep models.
no code implementations • 25 Jun 2021 • Maxwell McNeil, Lin Zhang, Petko Bogdanov
We propose a general, dictionary-based framework for temporal graph signal decomposition (TGSD).
no code implementations • 12 Jun 2021 • Lingyun Gu, Lin Zhang, Zhaokui Wang
Visual surface inspection is a challenging task owing to the highly diverse appearance of target surfaces and defective regions.
no code implementations • 28 Apr 2021 • Zhiwei Xing, Lin Zhang, Huan Xia, Qian Luo, Zhao-xin Chen
In the existing ground support research, there has not yet been a process model that directly obtains support from the ground support log to study the causal relationship between service nodes and flight delays.
no code implementations • 6 Apr 2021 • Lin Zhang, Xin Wang, Erica Cooper, Junichi Yamagishi, Jose Patino, Nicholas Evans
By definition, partially-spoofed utterances contain a mix of both spoofed and bona fide segments, which will likely degrade the performance of countermeasures trained with entirely spoofed utterances.
no code implementations • 3 Apr 2021 • Hao Xiong, Huanhui Cao, Lin Zhang, Wenjie Lu
It is shown that, in a pursuit-evasion game with a dynamics formulation, an evader is not able to escape from a slightly faster pursuer with an effective learned pursuit strategy, based on agile maneuvers and an effective learned evasion strategy.
no code implementations • 9 Mar 2021 • Devavrat Tomar, Lin Zhang, Tiziano Portenier, Orcun Goksel
Interactive simulation of ultrasound imaging greatly facilitates sonography training.
no code implementations • 20 Jan 2021 • Lin Zhang, Tiziano Portenier, Orcun Goksel
Given the high level of expertise required for navigation and interpretation of ultrasound images, computational simulations can facilitate the training of such skills in virtual reality.
no code implementations • ICCV 2021 • Lin Zhang, Yong Luo, Yan Bai, Bo Du, Ling-Yu Duan
Federated Learning (FL) aims to establish a shared model across decentralized clients under the privacy-preserving constraint.
no code implementations • 1 Dec 2020 • Mingzhi Jiang, Tianhao Wu, Zhe Wang, Yi Gong, Lin Zhang, Ren Ping Liu
In particular, we propose a Multi-intersection Vehicular Cooperative Control (MiVeCC) to enable cooperation among vehicles in a large area with multiple unsignalized intersections.
no code implementations • 13 Oct 2020 • Andrew DiLernia, Karina Quevedo, Jazmin Camchong, Kelvin Lim, Wei Pan, Lin Zhang
To this end, we propose a random covariance clustering model (RCCM) to concurrently cluster subjects based on their FC networks, estimate the unique FC networks of each subject, and to infer shared network features.
no code implementations • 18 Aug 2020 • Tianqi Ma, Lin Zhang, Xiumin Diao, Ou Ma
Considering that the different outcomes are closely connected to the subtle differences in actions, fine-grained action recognition is a practical method for action outcome prediction.
no code implementations • 12 Aug 2020 • Haiwei Wu, Lin Zhang, Lin Yang, Xuyang Wang, Jun-Jie Wang, Dong Zhang, Ming Li
This paper introduces our approaches for the Mask and Breathing Sub-Challenge in the Interspeech COMPARE Challenge 2020.
1 code implementation • 2 Jul 2020 • Jin Jin, Lin Zhang, Ethan Leng, Gregory J. Metzger, Joseph S. Koopmeiners
While current research has shown the importance of Multi-parametric MRI (mpMRI) in diagnosing prostate cancer (PCa), further investigation is needed for how to incorporate the specific structures of the mpMRI data, such as the regional heterogeneity and between-voxel correlation within a subject.
no code implementations • 18 Jun 2020 • Lin Zhang, Tiziano Portenier, Christoph Paulus, Orcun Goksel
To incorporate anatomical information potentially lost in low quality images, we additionally provide segmentation maps to image translation.
no code implementations • 17 Jun 2020 • Lin Zhang, Valery Vishnevskiy, Orcun Goksel
Simulation-based ultrasound training can be an essential educational tool.
1 code implementation • 8 May 2020 • Xiang Li, Lin Zhang, Yau Pun Chen, Yu-Wing Tai, Chi-Keung Tang
Deep learning has revolutionized object detection thanks to large-scale datasets, but their object categories are still arguably very limited.
no code implementations • 30 Mar 2020 • Yingyi Zhang, Lin Zhang, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang
First, to facilitate the study of palmprint verification on smartphones, we established an annotated palmprint dataset named MPD, which was collected by multi-brand smartphones in two separate sessions with various backgrounds and illumination conditions.
no code implementations • 5 Jan 2020 • Zhiyong Dou, Haotian Cui, Lin Zhang, Bo wang
Diffusion has shown great success in improving accuracy of unsupervised image retrieval systems by utilizing high-order structures of image manifold.
no code implementations • 25 Nov 2019 • Lin Zhang
Phase contrast microscopy (PCM) has been widely used in biomedicine research, which allows users to observe objectives without staining or killing them.
no code implementations • 11 Sep 2019 • Ling Feng, Lin Zhang, Choy Heng Lai
It has long been suggested that the biological brain operates at some critical point between two different phases, possibly order and chaos.
1 code implementation • ICLR 2019 • Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Amir R. Zamir, Leonidas J. Guibas
An important question in task transfer learning is to determine task transferability, i. e. given a common input domain, estimating to what extent representations learned from a source task can help in learning a target task.
no code implementations • 31 Mar 2019 • Lin Zhang
In this paper, we propose a new model to segment cells in phase contrast microscopy images.
no code implementations • 24 Mar 2019 • Lin Zhang, Petko Bogdanov
In this work we propose an optimization framework for discriminative subgraph learning (DSL) which simultaneously enforces (i) sparsity, (ii) connectivity and (iii) high discriminative power of the resulting subgraphs of features.
no code implementations • 22 Nov 2018 • Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang
We further generalize the framework to handle more than two modalities and missing modalities.
no code implementations • 22 Oct 2018 • Lin Zhang, Valery Vishnevskiy, Andras Jakab, Orcun Goksel
Intravoxel incoherent motion (IVIM) imaging allows contrast-agent free in vivo perfusion quantification with magnetic resonance imaging (MRI).
no code implementations • 11 Sep 2018 • Zhuqing Liu, Liyuanjun Lai, Lin Zhang
Simulation workflow is a top-level model for the design and control of simulation process.
no code implementations • 4 Sep 2018 • Feiniu Yuan, Lin Zhang, Xue Xia, Boyang Wan, Qinghua Huang, Xuelong. Li
According to results of our deep segmentation method, we can easily and accurately perform smoke detection from videos.
1 code implementation • 12 Apr 2018 • Lin Zhang, Neerav Karani, Christine Tanner, Ender Konukoglu
Temporal interpolation of navigator slices an be used to reduce the number of navigator acquisitions without degrading specificity in stacking.
no code implementations • 17 May 2017 • Menglong Ye, Edward Johns, Ankur Handa, Lin Zhang, Philip Pratt, Guang-Zhong Yang
Robotic surgery has become a powerful tool for performing minimally invasive procedures, providing advantages in dexterity, precision, and 3D vision, over traditional surgery.
no code implementations • 11 May 2016 • Menglong Ye, Lin Zhang, Stamatia Giannarou, Guang-Zhong Yang
The proposed method is based on the CAD model of the tools as well as robot kinematics to generate online part-based templates for efficient 2D matching and 3D pose estimation.
1 code implementation • 5 Feb 2015 • Manuel Sanchez del Rio, Nicolas Perez-Bocanegra, Xianbo Shi, Veijo Honkimaki, Lin Zhang
The equations for calculating diffraction profiles for bent crystals are revisited for both meridional and sagittal bending.
Materials Science Optics
no code implementations • IEEE Transactions on Image Processing 2014 • Lin Zhang, Ying Shen, Hongyu Li
First, VS is used as a feature when computing the local quality map of the distorted image.
Ranked #7 on Video Quality Assessment on MSU FR VQA Database
no code implementations • IEEE International Conference on Image Processing 2012 • Lin Zhang, Hongyu Li
Automatic image quality assessment (IQA) attempts to use computational models to measure the image quality in consistency with subjective ratings.
Ranked #9 on Video Quality Assessment on MSU FR VQA Database
no code implementations • IEEE Transactions on Image Processing 2011 • Lin Zhang, Lei Zhang, Xuanqin Mou, David Zhang
Image quality assessment (IQA) aims to use computational models to measure the image quality consistently with subjective evaluations.
Ranked #2 on Image Quality Assessment on MSU FR VQA Database