no code implementations • EMNLP 2020 • Xin Wu, Yi Cai, Yang Kai, Tao Wang, Qing Li
Meta-embedding learning, which combines complementary information in different word embeddings, have shown superior performances across different Natural Language Processing tasks.
1 code implementation • 14 May 2024 • Xin Wu, Zhanchao Huang, Li Wang, Jocelyn Chanussot, Jiaojiao Tian
To this end, we first construct two multimodal dense and occlusion vehicle detection datasets for large-scale events, utilizing RGB and height map modalities.
no code implementations • 3 Feb 2024 • Weiqi Fu, Lianming Xu, Xin Wu, Li Wang, Aiguo Fei
In this paper, we propose an Emergency Network with Sensing, Communication, Computation, Caching, and Intelligence (E-SC3I).
no code implementations • IEEE Journal of Selected Topics in Signal Processing 2023 • Li Wang, Xin Wu, Yi Zhang, Xinyun Zhang, LianmingXu, Zhihua Wu, Aiguo Fei
Specifically, DeepAdaIn-Net encompasses a partition point selection (PPS) module, a high feature compression learning (HFCL) module, a bandwidth-aware feature configuration (BaFC) module, and a feature consistency compensation (FCC) module.
1 code implementation • 2 Dec 2022 • Xin Wu, Danfeng Hong, Jocelyn Chanussot
RM-DS integrates Residual U-blocks into a deep supervision network to generate deep multi-scale resolution-maintenance features while learning global context information.
1 code implementation • 23 Oct 2022 • Xin Wu, Hao Zhao, Shunkai Li, Yingdian Cao, Hongbin Zha
Visual re-localization aims to recover camera poses in a known environment, which is vital for applications like robotics or augmented reality.
no code implementations • 5 Jun 2022 • Ao Wang, Wei Li, Xin Wu, Zhanchao Huang, Ran Tao
To this end, a multi-patch attention network (MPANet) based on the axial-attention encoder and the multi-scale patch branch (MSPB) structure is proposed.
no code implementations • 5 Mar 2022 • Yawei Li, Xin Wu, Ping Yang, Guoqian Jiang, Yuan Luo
The recent development of imaging and sequencing technologies enables systematic advances in the clinical study of lung cancer.
no code implementations • 4 Jan 2022 • Muhammad Ahmad, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano, Swalpa Kumar Roy, Xin Wu
The resulting \textit{attention-fused hybrid network} (AfNet) is based on three attention-fused parallel hybrid sub-nets with different kernels in each block repeatedly using high-level features to enhance the final ground-truth maps.
no code implementations • 3 Jan 2022 • Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Keyvan Farahani, Justin Kirby, Anastasia Oikonomou, Amir Asif, Leonard Wee, Andre Dekker, Xin Wu, Mohammad Ariful Haque, Shahruk Hossain, Md. Kamrul Hasan, Uday Kamal, Winston Hsu, Jhih-Yuan Lin, M. Sohel Rahman, Nabil Ibtehaz, Sh. M. Amir Foisol, Kin-Man Lam, Zhong Guang, Runze Zhang, Sumohana S. Channappayya, Shashank Gupta, Chander Dev
Lung cancer is one of the deadliest cancers, and in part its effective diagnosis and treatment depend on the accurate delineation of the tumor.
no code implementations • 25 Oct 2021 • Xin Wu, Wei Li, Danfeng Hong, Ran Tao, Qian Du
Owing to effective and flexible data acquisition, unmanned aerial vehicle (UAV) has recently become a hotspot across the fields of computer vision (CV) and remote sensing (RS).
1 code implementation • 19 Aug 2021 • Jonathan Zhang, Bowen Xie, Xin Wu, Rahul Ram, David Liang
In this work, deep learning algorithms are used to classify fundus images in terms of diabetic retinopathy severity.
no code implementations • CVPR 2021 • Shunkai Li, Xin Wu, Yingdian Cao, Hongbin Zha
Our method enables fast adaptation of deep VO networks to unseen environments in a self-supervised manner.
no code implementations • 4 Feb 2021 • Alessandro De Angelis, Vincent Tatischeff, Andrea Argan, Soren Brandt, Andrea Bulgarelli, Andrei Bykov, Elisa Costantini, Rui Curado da Silva, Isabelle A. Grenier, Lorraine Hanlon, Dieter Hartmann, Margarida Hernanz, Gottfried Kanbach, Irfan Kuvvetli, Philippe Laurent, Mario N. Mazziotta, Julie McEnery, Aldo Morselli, Kazuhiro Nakazawa, Uwe Oberlack, Mark Pearce, Javier Rico, Marco Tavani, Peter von Ballmoos, Roland Walter, Xin Wu, Silvia Zane, Andrzej Zdziarski, Andreas Zoglauer
The energy range between about 100 keV and 1 GeV is of interest for a vast class of astrophysical topics.
Instrumentation and Methods for Astrophysics
2 code implementations • 15 Jan 2021 • Muhammad Ahmad, Sidrah Shabbir, Swalpa Kumar Roy, Danfeng Hong, Xin Wu, Jing Yao, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano, Jocelyn Chanussot
Therefore, this survey discusses some strategies to improve the generalization performance of DL strategies which can provide some future guidelines.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Junsheng Kong, Zhicheng Zhong, Yi Cai, Xin Wu, Da Ren
Neural response generative models have achieved remarkable progress in recent years but tend to yield irrelevant and uninformative responses.
no code implementations • 17 Jul 2020 • Danfeng Hong, Jing Yao, Xin Wu, Jocelyn Chanussot, Xiao Xiang Zhu
In recent years, hyperspectral imaging, also known as imaging spectroscopy, has been paid an increasing interest in geoscience and remote sensing community.
no code implementations • 16 Jul 2020 • Xin Wu, Wei Li, Danfeng Hong, Jiaojiao Tian, Ran Tao, Qian Du
In addition, the generalization ability of Ms-AFt in dense remote sensing scenes is further verified on stereo aerial imagery of a large camping site.
1 code implementation • 28 May 2020 • Jiarui Qin, Wei-Nan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu
These retrieved behaviors are then fed into a deep model to make the final prediction instead of simply using the most recent ones.
no code implementations • 18 Dec 2019 • Danfeng Hong, Xin Wu, Pedram Ghamisi, Jocelyn Chanussot, Naoto Yokoya, Xiao Xiang Zhu
In this paper, we propose a solution to address this issue by locally extracting invariant features from hyperspectral imagery (HSI) in both spatial and frequency domains, using a method called invariant attribute profiles (IAPs).
no code implementations • 4 Sep 2019 • Alex Bozarth, Brendan Dwyer, Fei Hu, Daniel Jalova, Karthik Muthuraman, Nick Pentreath, Simon Plovyt, Gabriela de Queiroz, Saishruthi Swaminathan, Patrick Titzler, Xin Wu, Hong Xu, Frederick R. Reiss, Vijay Bommireddipalli
A recent trend observed in traditionally challenging fields such as computer vision and natural language processing has been the significant performance gains shown by deep learning (DL).
1 code implementation • 30 Jul 2019 • Abulikemu Abuduweili, Xin Wu, Xingchen Tao
Thanks to advanced regularization strategies and ensemble learning, we got top 7/336 places in the final leaderboard.
no code implementations • 27 May 2019 • Xin Wu, Danfeng Hong, Jocelyn Chanussot, Yang Xu, Ran Tao, Yue Wang
To this end, we propose a novel and efficient framework for geospatial object detection in this letter, called Fourier-based rotation-invariant feature boosting (FRIFB).
no code implementations • 17 Apr 2019 • Yuwei Zhang, Xin Wu, Chenyang Gu, Yueqi Xie
This is a method report for the Kaggle data competition 'Predict future sales'.
no code implementations • 23 Jan 2019 • Xin Wu, Danfeng Hong, Jiaojiao Tian, Jocelyn Chanussot, Wei Li, Ran Tao
To this end, we propose a novel object detection framework, called optical remote sensing imagery detector (ORSIm detector), integrating diverse channel features extraction, feature learning, fast image pyramid matching, and boosting strategy.
1 code implementation • 19 May 2018 • Zheng-Heng Li, Merlin Kole, Jian-Chao Sun, Li-Ming Song, Nicolas Produit, Bo-Bing Wu, Tianwei Bao, Tancredi Bernasconi, Franck Cadoux, Yongwei Dong, Minzi Feng, Neal Gauvin, Wojtek Hajdas, Hancheng Li, Lu Li, Xin Liu, Radoslaw Marcinkowski, Martin Pohl, Dominik K. Rybka, Haoli Shi, Jacek Szabelski, Teresa Tymieniecka, Ruijie Wang, Yuanhao Wang, Xing Wen, Xin Wu, Shao-Lin Xiong, Anna Zwolinska, Li Zhang, Lai-Yu Zhang, Shuang-Nan Zhang, Yong-Jie Zhang, Yi Zhao
POLAR is a compact space-borne detector designed to perform reliable measurements of the polarization for transient sources like Gamma-Ray Bursts in the energy range 50-500keV.
Instrumentation and Methods for Astrophysics High Energy Physics - Experiment Instrumentation and Detectors