no code implementations • CCL 2021 • Ningning Wang, Long Fei, HUI ZHANG
“端到端语音翻译将源语言语音直接翻译为目标语言文本, 它需要“源语言语音-目标语言文本”作为训练数据, 然而这类数据极其稀缺, 本文提出了一种多层次预训练策略和多任务学习相结合的训练方法, 首先分别对语音识别和机器翻译模型的各个模块进行多层次预训练, 接着将语音识别和机器翻译模型连接起来构成语音翻译模型, 然后使用迁移学习对预训练好的模型进行多步骤微调, 在此过程中又运用多任务学习的方法, 将语音识别作为语音翻译的一个辅助任务来组织训练, 充分利用了已经存在的各种不同形式的数据来训练端到端模型, 首次将端到端技术应用于资源受限条件下的蒙汉语音翻译, 构建了首个翻译质量较高、实际可用的端到端蒙汉语音翻译系统。”
no code implementations • 30 Apr 2024 • Odin Zhang, Haitao Lin, HUI ZHANG, Huifeng Zhao, Yufei Huang, Yuansheng Huang, Dejun Jiang, Chang-Yu Hsieh, Peichen Pan, Tingjun Hou
Through this lens, de novo design can incorporate strategies from lead optimization to address the challenge of generating hard-to-synthesize molecules; inversely, lead optimization can benefit from the innovations in de novo design by approaching it as a task of generating molecules conditioned on certain substructures.
no code implementations • 9 Apr 2024 • Yiwei Guo, Chenrun Wang, Yifan Yang, Hankun Wang, Ziyang Ma, Chenpeng Du, Shuai Wang, Hanzheng Li, Shuai Fan, HUI ZHANG, Xie Chen, Kai Yu
Discrete speech tokens have been more and more popular in multiple speech processing fields, including automatic speech recognition (ASR), text-to-speech (TTS) and singing voice synthesis (SVS).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 28 Mar 2024 • HUI ZHANG, Sammy Christen, Zicong Fan, Otmar Hilliges, Jie Song
Moreover, we show that our framework can be deployed to different dexterous hands and work with reconstructed or generated objects.
no code implementations • 13 Mar 2024 • Yi Zhou, HUI ZHANG, Jiaqian Yu, Yifan Yang, Sangil Jung, Seung-In Park, ByungIn Yoo
Concretely, we introduce a hybrid representation called HIQuery to represent all map elements, and propose a point-element interactor to interactively extract and encode the hybrid information of elements, e. g. point position and element shape, into the HIQuery.
no code implementations • 25 Jan 2024 • Chenpeng Du, Yiwei Guo, Hankun Wang, Yifan Yang, Zhikang Niu, Shuai Wang, HUI ZHANG, Xie Chen, Kai Yu
Recent TTS models with decoder-only Transformer architecture, such as SPEAR-TTS and VALL-E, achieve impressive naturalness and demonstrate the ability for zero-shot adaptation given a speech prompt.
no code implementations • 17 Dec 2023 • Daniel Gerbi Duguma, Juliana Zhang, Meysam Aboutalebi, Shiliang Zhang, Catherine Banet, Cato Bjørkli, Chinmayi Baramashetru, Frank Eliassen, HUI ZHANG, Jonathan Muringani, Josef Noll, Knut Inge Fostervold, Lars Böcker, Lee Andrew Bygrave, Matin Bagherpour, Maunya Doroudi Moghadam, Olaf Owe, Poushali Sengupta, Roman Vitenberg, Sabita Maharjan, Thiago Garrett, Yushuai Li, Zhengyu Shan
This manuscript aims to formalize and conclude the discussions initiated during the PriTEM workshop 22-23 March 2023.
no code implementations • 12 Dec 2023 • ZiHao Wang, Jing Zhao, HUI ZHANG
Face plays an important role in human's visual perception, and reconstructing perceived faces from brain activities is challenging because of its difficulty in extracting high-level features and maintaining consistency of multiple face attributes, such as expression, identity, gender, etc.
no code implementations • 30 Nov 2023 • Zhen Xing, Qi Dai, Zihao Zhang, HUI ZHANG, Han Hu, Zuxuan Wu, Yu-Gang Jiang
Our model can edit and translate the desired results within seconds based on user instructions.
no code implementations • 24 Nov 2023 • HUI ZHANG, Zuxuan Wu, Zhen Xing, Jie Shao, Yu-Gang Jiang
Diffusion models, as a type of generative models, have achieved impressive results in generating images and videos conditioned on textual conditions.
no code implementations • 20 Nov 2023 • Yating Chen, Cai Wen, Yan Huang, Le Liang, Jie Li, HUI ZHANG, Wei Hong
In this paper, we formulate the precoding problem of integrated sensing and communication (ISAC) waveform as a non-convex quadratically constrainted quadratic program (QCQP), in which the weighted sum of communication multi-user interference (MUI) and the gap between dual-use waveform and ideal radar waveform is minimized with peak-to-average power ratio (PAPR) constraints.
no code implementations • 20 Nov 2023 • HUI ZHANG, Ankit Kariryaa, Venkanna Babu Guthula, Christian Igel, Stefan Oehmcke
This paper studies how to combine accurate point labels of urban trees along streets with crowd-sourced annotations from an open geographic database to delineate city trees in remote sensing images, a task which is challenging even for humans.
1 code implementation • 15 Nov 2023 • Leiping Jie, HUI ZHANG
To adapt SAM for shadow images, trainable adapters are inserted into the frozen image encoder of SAM, since the training of the full SAM model is both time and memory consuming.
no code implementations • 10 Nov 2023 • Henglai Wei, Kunwu Zhang, HUI ZHANG, Yang Shi
In this work, we propose a distributed resilient consensus framework, consisting of a pre-designed consensus protocol and distributed model predictive control (DMPC) optimization, which can help significantly reduce the requirement on the network robustness and effectively handle the general linear constrained MAS under adversarial attacks.
no code implementations • 26 Sep 2023 • HUI ZHANG, Dihan Zheng, Qiurong Wu, Nieng Yan, Zuoqiang Shi, Mingxu Hu, Chenglong Bao
The single-particle cryo-EM field faces the persistent challenge of preferred orientation, lacking general computational solutions.
no code implementations • 7 Sep 2023 • HUI ZHANG, Sammy Christen, Zicong Fan, Luocheng Zheng, Jemin Hwangbo, Jie Song, Otmar Hilliges
ArtiGrasp leverages reinforcement learning and physics simulations to train a policy that controls the global and local hand pose.
no code implementations • 2 Sep 2023 • Xuan He, Kailun Yang, Junwei Zheng, Jin Yuan, Luis M. Bergasa, HUI ZHANG, Zhiyong Li
These methods typically use visual and depth representations to generate query points on objects, whose quality plays a decisive role in the detection accuracy.
1 code implementation • ICCV 2023 • Peng Xiang, Xin Wen, Yu-Shen Liu, HUI ZHANG, Yi Fang, Zhizhong Han
In this way, the categorization of each point is conditioned on its local semantic pattern.
no code implementations • 8 Aug 2023 • HUI ZHANG, Lingxiao Wan, Sergi Ramos-Calderer, Yuancheng Zhan, Wai-Keong Mok, Hong Cai, Feng Gao, Xianshu Luo, Guo-Qiang Lo, Leong Chuan Kwek, José Ignacio Latorre, Ai Qun Liu
In the modern financial industry system, the structure of products has become more and more complex, and the bottleneck constraint of classical computing power has already restricted the development of the financial industry.
no code implementations • 13 Jul 2023 • Christopher S. Parker, Anna Schroder, Sean C. Epstein, James Cole, Daniel C. Alexander, HUI ZHANG
Results: Networks trained with NLR loss show higher estimation accuracy than MSE for the ADC and IVIM diffusion coefficients as SNR decreases, with minimal loss of precision or total error.
1 code implementation • 11 Jul 2023 • Zhiwen Yang, Yang Zhou, HUI ZHANG, Bingzheng Wei, Yubo Fan, Yan Xu
To address this, we develop a generalist model that shares architecture and parameters across centers to utilize the shared knowledge.
1 code implementation • CVPR 2023 • Zhanhao Hu, Wenda Chu, Xiaopei Zhu, HUI ZHANG, Bo Zhang, Xiaolin Hu
In order to craft natural-looking adversarial clothes that can evade person detectors at multiple viewing angles, we propose adversarial camouflage textures (AdvCaT) that resemble one kind of the typical textures of daily clothes, camouflage textures.
no code implementations • 3 Jul 2023 • Yushan Han, HUI ZHANG, Honglei Zhang, Yidong Li
Extensive experiments on three large-scale datasets reveal that our proposed SSC3OD can effectively improve the performance of sparsely supervised collaborative 3D object detectors.
no code implementations • 3 Jul 2023 • Tobias Goodwin-Allcock, Ting Gong, Robert Gray, Parashkev Nachev, HUI ZHANG
To overcome these limitations, we propose Patch-CNN, a neural network with a minimal (non-voxel-wise) convolutional kernel (3$\times$3$\times$3).
2 code implementations • 2 Jun 2023 • Yihong Cao, HUI ZHANG, Xiao Lu, Zheng Xiao, Kailun Yang, Yaonan Wang
It utilizes a well-trained source model and unlabeled target data to achieve adaptation in the target domain.
1 code implementation • 19 May 2023 • Leiping Jie, HUI ZHANG
As a promptable generic object segmentation model, segment anything model (SAM) has recently attracted significant attention, and also demonstrates its powerful performance.
1 code implementation • 24 Mar 2023 • HUI ZHANG, Xuexin An, Qiang He, YuDong Yao, Yudong Zhang, Feng-Lei Fan, Yueyang Teng
The former informs that nonlinear aggregation of quadratic neurons can amplify useful signals and suppress unwanted noise, thereby facilitating robustness, while the latter reveals that Q-GAT can leverage more features in prediction thanks to the dual attention mechanism, which endows Q-GAT with the ability to confront adversarial perturbation.
1 code implementation • CVPR 2023 • Qiaoqiao Wei, HUI ZHANG, Jun-Hai Yong
Interactive image segmentation aims at obtaining a segmentation mask for an image using simple user annotations.
1 code implementation • 15 Mar 2023 • HUI ZHANG, Zheng Wang, Zuxuan Wu, Yu-Gang Jiang
Anomaly detection has garnered extensive applications in real industrial manufacturing due to its remarkable effectiveness and efficiency.
Ranked #1 on Anomaly Detection on VisA
no code implementations • 9 Mar 2023 • Michele Guerreri, Sean Epstein, Hojjat Azadbakht, HUI ZHANG
Our results illustrate the importance of training set design which has the potential to allow accurate estimation of tissue properties with ML.
1 code implementation • 16 Jan 2023 • Yushan Han, HUI ZHANG, Huifang Li, Yi Jin, Congyan Lang, Yidong Li
The former focuses on collaboration modules and efficiency, and the latter is devoted to addressing the problems in actual application.
no code implementations • CVPR 2023 • Keyu Yan, Tingwei Gao, HUI ZHANG, Chengjun Xie
In this paper, a novel virtual try-on algorithm, dubbed SAL-VTON, is proposed, which links the garment with the person via semantically associated landmarks to alleviate misalignment.
no code implementations • CVPR 2023 • HUI ZHANG, Zuxuan Wu, Zheng Wang, Zhineng Chen, Yu-Gang Jiang
Anomaly detection and localization are widely used in industrial manufacturing for its efficiency and effectiveness.
Ranked #2 on Supervised Anomaly Detection on MVTec AD (using extra training data)
no code implementations • 30 Oct 2022 • Henghui Ding, HUI ZHANG, Xudong Jiang
A direct yet effective prototype regularization on support set is proposed in SRPNet, in which the generated prototypes are evaluated and regularized on the support set itself.
no code implementations • 27 Sep 2022 • HUI ZHANG, Quanming Yao, James T. Kwok, Xiang Bai
We design a domain-specific search space by exploring principles for having good feature extractors.
Neural Architecture Search Vocal Bursts Intensity Prediction
1 code implementation • COLING 2022 • Yudong Li, Yuqing Zhang, Zhe Zhao, Linlin Shen, Weijie Liu, Weiquan Mao, HUI ZHANG
The CSL can serve as a Chinese corpus.
no code implementations • 1 Jul 2022 • Tobias Goodwin-Allcock, Jason McEwen, Robert Gray, Parashkev Nachev, HUI ZHANG
A possible consequence of the lack of rotational equivariance is that the training dataset must contain a diverse range of microstucture orientations.
no code implementations • 19 Jun 2022 • Zhi-Yong Zhang, HUI ZHANG, Li-Sheng Zhang, Lei-Lei Guo
As a typical application of deep learning, physics-informed neural network (PINN) {has been} successfully used to find numerical solutions of partial differential equations (PDEs), but how to improve the limited accuracy is still a great challenge for PINN.
no code implementations • 19 Jun 2022 • Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, HUI ZHANG, Shixia Liu
The rapid development of deep natural language processing (NLP) models for text classification has led to an urgent need for a unified understanding of these models proposed individually.
no code implementations • 19 Jun 2022 • HUI ZHANG, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu
The step function is one of the simplest and most natural activation functions for deep neural networks (DNNs).
no code implementations • 7 Jun 2022 • Yeow Meng Chee, HUI ZHANG
Permutation codes were extensively studied in order to correct different types of errors for the applications on power line communication and rank modulation for flash memory.
2 code implementations • NAACL (ACL) 2022 • HUI ZHANG, Tian Yuan, Junkun Chen, Xintong Li, Renjie Zheng, Yuxin Huang, Xiaojie Chen, Enlei Gong, Zeyu Chen, Xiaoguang Hu, dianhai yu, Yanjun Ma, Liang Huang
PaddleSpeech is an open-source all-in-one speech toolkit.
Automatic Speech Recognition (ASR) Environmental Sound Classification +9
no code implementations • 18 May 2022 • Yang Zhou, Zhiwen Yang, HUI ZHANG, Eric I-Chao Chang, Yubo Fan, Yan Xu
(2) We adopt a task-driven strategy that couples a segmentation task with a generative adversarial network (GAN) framework to improve the translation performance.
1 code implementation • 11 May 2022 • Sean C. Epstein, Timothy J. P. Bray, Margaret Hall-Craggs, HUI ZHANG
Self-supervised approaches, sometimes referred to as unsupervised, have been loosely based on auto-encoders, whereas supervised methods have, to date, been trained on groundtruth labels.
1 code implementation • CVPR 2022 • Jian Zhao, HUI ZHANG
Firstly, we propose thin-plate spline motion estimation to produce a more flexible optical flow, which warps the feature maps of the source image to the feature domain of the driving image.
no code implementations • 26 Mar 2022 • Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han, Zhenghao Liu, Ning Ding, Yongming Rao, Yizhao Gao, Liang Zhang, Ming Ding, Cong Fang, Yisen Wang, Mingsheng Long, Jing Zhang, Yinpeng Dong, Tianyu Pang, Peng Cui, Lingxiao Huang, Zheng Liang, HuaWei Shen, HUI ZHANG, Quanshi Zhang, Qingxiu Dong, Zhixing Tan, Mingxuan Wang, Shuo Wang, Long Zhou, Haoran Li, Junwei Bao, Yingwei Pan, Weinan Zhang, Zhou Yu, Rui Yan, Chence Shi, Minghao Xu, Zuobai Zhang, Guoqiang Wang, Xiang Pan, Mengjie Li, Xiaoyu Chu, Zijun Yao, Fangwei Zhu, Shulin Cao, Weicheng Xue, Zixuan Ma, Zhengyan Zhang, Shengding Hu, Yujia Qin, Chaojun Xiao, Zheni Zeng, Ganqu Cui, Weize Chen, Weilin Zhao, Yuan YAO, Peng Li, Wenzhao Zheng, Wenliang Zhao, Ziyi Wang, Borui Zhang, Nanyi Fei, Anwen Hu, Zenan Ling, Haoyang Li, Boxi Cao, Xianpei Han, Weidong Zhan, Baobao Chang, Hao Sun, Jiawen Deng, Chujie Zheng, Juanzi Li, Lei Hou, Xigang Cao, Jidong Zhai, Zhiyuan Liu, Maosong Sun, Jiwen Lu, Zhiwu Lu, Qin Jin, Ruihua Song, Ji-Rong Wen, Zhouchen Lin, LiWei Wang, Hang Su, Jun Zhu, Zhifang Sui, Jiajun Zhang, Yang Liu, Xiaodong He, Minlie Huang, Jian Tang, Jie Tang
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm.
no code implementations • 3 Mar 2022 • HUI ZHANG, Jonathan Wei Zhong Lau, Lingxiao Wan, Liang Shi, Hong Cai, Xianshu Luo, Patrick Lo, Chee-Kong Lee, Leong-Chuan Kwek, Ai Qun Liu
Machine learning methods have revolutionized the discovery process of new molecules and materials.
no code implementations • 20 Dec 2021 • Yurong Chen, HUI ZHANG, Yaonan Wang, Q. M. Jonathan Wu, Yimin Yang
In this case, the Wasserstein distance can be calculated with the closed-form, even the prior distribution is not Gaussian.
no code implementations • CVPR 2022 • Yi Zhou, HUI ZHANG, Hana Lee, Shuyang Sun, Pingjun Li, Yangguang Zhu, ByungIn Yoo, Xiaojuan Qi, Jae-Joon Han
We encode all panoptic entities in a video, including both foreground instances and background semantics, with a unified representation called panoptic slots.
2 code implementations • 22 Nov 2021 • Boyu Zhang, Jiayuan Chen, Yinfei Xu, HUI ZHANG, Xu Yang, Xin Geng
Traditionally, AQA is treated as a regression problem to learn the underlying mappings between videos and action scores.
Ranked #1 on Action Quality Assessment on JIGSAWS
no code implementations • 11 Oct 2021 • Timothy JP Bray, Alan Bainbridge, Margaret A Hall-Craggs, HUI ZHANG
Purpose: Magnitude-based fitting of chemical shift-encoded data enables proton density fat fraction (PDFF) and R2* estimation where complex-based methods fail or when phase data is inaccessible or unreliable, such as in multi-centre studies.
1 code implementation • 21 Jun 2021 • Carolyna Hepburn, Alexis Jones, Alan Bainbridge, Coziana Ciurtin, Juan Eugenio Iglesias, HUI ZHANG, Margaret A. Hall-Craggs, Timothy JP Bray, . Joint senior authorship.
Short inversion time inversion recovery (STIR) MRI is widely used in clinical practice to identify and quantify inflammation in axial spondyloarthritis.
no code implementations • 10 Apr 2021 • Ping Zhang, Zhenxiang Tao, Wenjie Yang, Minze Chen, Shan Ding, Xiaodong Liu, Rui Yang, HUI ZHANG
Surveillance cameras are widely applied for indoor occupancy measurement and human movement perception, which benefit for building energy management and social security.
1 code implementation • ICCV 2021 • Mingtao Feng, Zhen Li, Qi Li, Liang Zhang, Xiangdong Zhang, Guangming Zhu, HUI ZHANG, Yaonan Wang, Ajmal Mian
There are three main challenges in 3D object grounding: to find the main focus in the complex and diverse description; to understand the point cloud scene; and to locate the target object.
no code implementations • ICCV 2021 • Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, HUI ZHANG, Yunhe Wang
Extensive experiments conducted on benchmark SISR models and datasets show that the frequency-aware dynamic network can be employed for various SISR neural architectures to obtain the better tradeoff between visual quality and computational complexity.
no code implementations • 13 Jan 2021 • Dazhen Deng, Jiang Wu, Jiachen Wang, Yihong Wu, Xiao Xie, Zheng Zhou, HUI ZHANG, Xiaolong Zhang, Yingcai Wu
The popularity of racket sports (e. g., tennis and table tennis) leads to high demands for data analysis, such as notational analysis, on player performance.
1 code implementation • IEEE Transactions on Vehicular Technology 2021 • Siqi Fan, Fenghua Zhu, Shichao Chen, HUI ZHANG, Bin Tian, Yisheng Lv, Fei-Yue Wang
Most successful object detectors are anchor-based, which is difficult to adapt to the diversity of traffic objects.
no code implementations • 5 Jan 2021 • Joseph E. Rodriguez, Samuel N. Quinn, George Zhou, Andrew Vanderburg, Louise D. Nielsen, Robert A. Wittenmyer, Rafael Brahm, Phillip A. Reed, Chelsea X. Huang, Sydney Vach, David R. Ciardi, Ryan J. Oelkers, Keivan G. Stassun, Coel Hellier, B. Scott Gaudi, Jason D. Eastman, Karen A. Collins, Allyson Bieryla, Sam Christian, David W. Latham, Ilaria Carleo, Duncan J. Wright, Elisabeth Matthews, Erica J. Gonzales, Carl Ziegler, Courtney D. Dressing, Steve B. Howell, Thiam-Guan Tan, Justin Wittrock, Peter Plavchan, Kim K. McLeod, David Baker, Gavin Wang, Don Radford, Richard P. Schwarz, Massimiliano Esposito, George R. Ricker, Roland K. Vanderspek, Sara Seager, Joshua N. Winn, Jon M. Jenkins, Brett Addison, D. R. Anderson, Thomas Barclay, Thomas G. Beatty, Perry Berlind, Francois Bouchy, Michael Bowen, Brendan P. Bowler, C. E. Brasseur, César Briceño, Douglas A. Caldwell, Michael L. Calkins, Priyanka Chaturvedi, Guillaume Chaverot, Sudhish Chimaladinne, Jessie L. Christiansen, Kevin Collins, Ian J. M. Crossfield, Kevin Eastridge, N'estor Espinoza, Gilbert A. Esquerdo, Dax Feliz, Tyler Fenske, William Fong, Tianjun Gan, Steven Giacalone, Holden Gill, Lindsey Gordon, Alex Granados, Nolan Grieves, Eike W. Guenther, Natalia Guerrero, Thomas Henning, Christopher E. Henze, Katharine Hesse, Melissa J. Hobson, Jonathan Horner, David J. James, Eric L. N. Jensen, Mary Jimenez, Andrés Jordán, Stephen R. Kane, John Kielkopf, Kingsley Kim, Rudolf B. Kuhn, Natasha Latouf, Nicholas M. Law, Alan M. Levine, Michael B. Lund, Andrew W. Mann, Shude Mao, Rachel A. Matson, Scott McDermott, Matthew W. Mengel, Jessica Mink, Patrick Newman, Tanner O'Dwyer, Jack Okumura, Enric Palle, Joshua Pepper, Elisa V. Quintana, Paula Sarkis, Arjun Savel, Joshua E. Schlieder, Chloe Schnaible, Avi Shporer, Ramotholo Sefako, Julia Seidel, Robert J. Siverd, Brett Skinner, Manu Stalport, Daniel J. Stevens, Caitlin Stibbards, C. G. Tinney, R. G. West, Daniel A. Yahalomi, HUI ZHANG
TOI-640 b is one of only three known hot Jupiters to have a highly inflated radius (R$_{\rm P}$ > 1. 7R$_{\rm J}$, possibly a result of its host star's evolution) and resides on an orbit with a period longer than 5 days.
Earth and Planetary Astrophysics Solar and Stellar Astrophysics
no code implementations • 4 Jan 2021 • Wandong Zhang, QM Jonathan Wu, Yimin Yang, WG Will Zhao, Tianlei Wang, HUI ZHANG
Most multilayer least squares (LS)-based neural networks are structured with two separate stages: unsupervised feature encoding and supervised pattern classification.
no code implementations • ICCV 2021 • Henghui Ding, HUI ZHANG, Jun Liu, Jiaxin Li, Zijian Feng, Xudong Jiang
In this work, we treat each respective region in an image as a whole, and capture the structure topology as well as the affinity among different regions.
no code implementations • ICCV 2021 • HUI ZHANG, Henghui Ding
In this work, we present zero-shot semantic segmentation, which aims to identify not only the seen classes contained in training but also the novel classes that have never been seen.
1 code implementation • RC 2020 • Ci Li, Ruibo Tu, HUI ZHANG
FixMatch is a semi-supervised learning method, which achieves comparable results with fully supervised learning by leveraging a limited number of labeled data (pseudo labelling technique) and taking a good use of the unlabeled data (consistency regularization ).
no code implementations • 16 Nov 2020 • Yongqi Zhang, HUI ZHANG, Quanming Yao, Jun Wan
Thus, inspired by the observation that classifier is more robust to noisy labels while representation is much more fragile, and by the recent advances of self-supervised representation learning (SSRL) technologies, we design a new method, i. e., CS$^3$NL, to obtain representation by SSRL without labels and train the classifier directly with noisy labels.
no code implementations • 4 Nov 2020 • Chengyun Deng, Shiqian Ma, Yi Zhang, Yongtao Sha, HUI ZHANG, Hui Song, Xiangang Li
dataset confirm the superior performance of the proposed method over the network without IRA in terms of SI-SDR and PESQ improvement.
no code implementations • 29 Oct 2020 • Xiang Hao, Xiangdong Su, Zhiyu Wang, HUI ZHANG, Batushiren
This approach consists of a generator network and a discriminator network, which operate directly in the time domain.
no code implementations • 27 Oct 2020 • Lizhou Sha, Chelsea X. Huang, Avi Shporer, Joseph E. Rodriguez, Andrew Vanderburg, Rafael Brahm, Janis Hagelberg, Elisabeth C. Matthews, Carl Ziegler, John H. Livingston, Keivan G. Stassun, Duncan J. Wright, Jeffrey D. Crane, Néstor Espinoza, François Bouchy, Gáspár Á. Bakos, Karen A. Collins, George Zhou, Allyson Bieryla, Joel D. Hartman, Robert A. Wittenmyer, Louise D. Nielsen, Peter Plavchan, Daniel Bayliss, Paula Sarkis, Thiam-Guan Tan, Ryan Cloutier, Luigi Mancini, Andrés Jordán, Sharon Wang, Thomas Henning, Norio Narita, Kaloyan Penev, Johanna K. Teske, Stephen R. Kane, Andrew W. Mann, Brett C. Addison, Motohide Tamura, Jonathan Horner, Mauro Barbieri, Jennifer A. Burt, Matías R. Díaz, Ian J. M. Crossfield, Diana Dragomir, Holger Drass, Adina D. Feinstein, HUI ZHANG, Rhodes Hart, John F. Kielkopf, Eric L. N. Jensen, Benjamin T. Montet, Gaël Ottoni, Richard P. Schwarz, Felipe Rojas, David Lopez Fdez Nespral, Pascal Torres, Matthew W. Mengel, Stéphane Udry, Abner Zapata, Erin Snoddy, Jack Okumura, George R. Ricker, Roland K. Vanderspek, David W. Latham, Joshua N. Winn, Sara Seager, Jon M. Jenkins, Knicole D. Colón, Christopher E. Henze, Akshata Krishnamurthy, Eric B. Ting, Michael Vezie, Steven Villanueva
We report the discovery of two short-period Saturn-mass planets, one transiting the G subgiant TOI-954 (TIC 44792534, $ V = 10. 343 $, $ T = 9. 78 $) observed in TESS Sectors 4 & 5, and one transiting the G dwarf EPIC 246193072 ($ V = 12. 70 $, $ K = 10. 67 $) observed in K2 Campaigns 12 & 19.
Earth and Planetary Astrophysics
no code implementations • 24 Oct 2020 • Wenhan Dai, Zhi Zeng, Daowei Dou, Hao Ma, Jianping Chen, Junli Li, HUI ZHANG
We apply multilayer perceptron (MLP) to analyze the 662 keV full energy peak of Cs-137 in the seawater spectrum.
no code implementations • 21 Sep 2020 • Xiangwei Wang, HUI ZHANG
To push the limit, we analyze the motion pattern of a ground vehicle and focus on learning two-degrees-of-freedom motions by proposed motion focusing and decoupling.
no code implementations • 4 Aug 2020 • Xinzhi Wang, Huao Li, HUI ZHANG, Michael Lewis, Katia Sycara
The results show that verbal explanation generated by both models improve subjective satisfaction of users towards the interpretability of DRL systems.
no code implementations • 28 Jul 2020 • Xinzhi Wang, Luyao Kou, Vijayan Sugumaran, Xiangfeng Luo, HUI ZHANG
That means, journalists may try to attract attention using fear and joy words but arouse the emotion love instead; After news release, netizens generate emotional comments to express their intense emotions, i. e., anger, sadness, and love.
no code implementations • 28 Jun 2020 • Xiaoguang Li, Peng Fu, Hongxia Yin, ZhenChang Wang, Li Zhuo, HUI ZHANG
Computed Tomography (CT) of the temporal bone has become an important method for diagnosing ear diseases.
1 code implementation • ECCV 2020 • Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai
In this work, inspired by the success of neural architecture search (NAS), which can identify better architectures than human-designed ones, we propose automated STR (AutoSTR) to search data-dependent backbones to boost text recognition performance.
no code implementations • 2 Feb 2020 • Jingdong Li, HUI ZHANG, Xueliang Zhang, Changliang Li
We show that our model is able to improve the performance of model, compared with existing convolutional recurrent networks.
no code implementations • 21 Nov 2019 • Hao Wang, Pu Lu, HUI ZHANG, Mingkun Yang, Xiang Bai, Yongchao Xu, Mengchao He, Yongpan Wang, Wenyu Liu
Recently, end-to-end text spotting that aims to detect and recognize text from cluttered images simultaneously has received particularly growing interest in computer vision.
no code implementations • 16 Oct 2019 • Tianchu Guo, Yongchao Liu, HUI ZHANG, Xiabing Liu, Youngjun Kwak, Byung In Yoo, Jae-Joon Han, Changkyu Choi
For the second issue, we define a new metric to measure the robustness of gaze estimator, and propose an adversarial training based Disturbance with Ordinal loss (DwO) method to improve it.
1 code implementation • 6 Sep 2019 • Haiyang Xu, HUI ZHANG, Kun Han, Yun Wang, Yiping Peng, Xiangang Li
Further, emotion recognition will be beneficial from using audio-textual multimodal information, it is not trivial to build a system to learn from multimodality.
Multimodal Emotion Recognition Speech Emotion Recognition +2
no code implementations • 10 Aug 2019 • Guanghao Yin, Shou-qian Sun, HUI ZHANG, Dian Yu, Chao Li, Ke-jun Zhang, Ning Zou
To the best of author's knowledge, our method is the first attempt to classify large scale subject-independent emotion with 7962 pieces of EDA signals from 457 subjects.
2 code implementations • 2 Aug 2019 • Kun Han, Junwen Chen, HUI ZHANG, Haiyang Xu, Yiping Peng, Yun Wang, Ning Ding, Hui Deng, Yonghu Gao, Tingwei Guo, Yi Zhang, Yahao He, Baochang Ma, Yu-Long Zhou, Kangli Zhang, Chao Liu, Ying Lyu, Chenxi Wang, Cheng Gong, Yunbo Wang, Wei Zou, Hui Song, Xiangang Li
In this paper we present DELTA, a deep learning based language technology platform.
Ranked #3 on Text Classification on Yahoo! Answers
no code implementations • 16 Jul 2019 • Huajun Liu, HUI ZHANG, Christoph Mertz
The Long Short-Term Memory (LSTM) neural network based data association algorithm named as DeepDA for multi-target tracking in clutters is proposed to deal with the NP-hard combinatorial optimization problem in this paper.
no code implementations • 20 Jun 2019 • Yue Gu, Zhihao Du, HUI ZHANG, Xueliang Zhang
To improve the robustness, a speech enhancement front-end is involved.
no code implementations • 24 Feb 2019 • Wei Peng, Yu-Hong Dai, HUI ZHANG, Li-Zhi Cheng
Training generative adversarial networks (GANs) often suffers from cyclic behaviors of iterates.
no code implementations • 24 Nov 2018 • Xinzhi Wang, Shengcheng Yuan, HUI ZHANG, Yi Liu
By contrast, in objective news bodies and titles, it is easy to regard text as caused love (gd).
no code implementations • COLING 2018 • Rui Liu, Feilong Bao, Guanglai Gao, HUI ZHANG, Yonghe Wang
In this paper, we first utilize the word embedding that focuses on sub-word units to the Mongolian Phrase Break (PB) prediction task by using Long-Short-Term-Memory (LSTM) model.
no code implementations • 30 Nov 2016 • Peng Liu, HUI ZHANG, Kie B. Eom
It is shown that the proposed algorithm is efficient and effective in classifying hyperspectral images.
no code implementations • CVPR 2016 • Hao Yang, HUI ZHANG
We propose a method to recover the shape of a 3D room from a full-view indoor panorama.
no code implementations • CVPR 2016 • Haifei Huang, HUI ZHANG, Yiu-ming Cheung
In this paper, we address the problem of homography estimation from two separate ellipses.
no code implementations • CVPR 2015 • Haifei Huang, HUI ZHANG, Yiu-ming Cheung
In this paper, we explore the properties of the common self-polar triangle, when the two conics happen to be concentric circles.
no code implementations • 3 May 2013 • Deqing Wang, HUI ZHANG, Rui Liu, Weifeng Lv
Much work has been done on feature selection.
no code implementations • 3 Mar 2013 • Zhuangming Shen, Jiuai Sun, HUI ZHANG, Binjie Qin
JSM guides the local structure matching in nonrigid registration by emphasizing these JSSs' sparse deformation vectors in adaptive kernel regression of hierarchical sparse deformation vectors for iterative dense deformation reconstruction.
no code implementations • 3 Feb 2013 • Binjie Qin, Zhuangming Shen, Zien Zhou, Jiawei Zhou, Jiuai Sun, HUI ZHANG, Mingxing Hu, Yisong Lv
For nonrigid image registration, matching the particular structures (or the outliers) that have missing correspondence and/or local large deformations, can be more difficult than matching the common structures with small deformations in the two images.
2 code implementations • 13 Dec 2010 • Deqing Wang, HUI ZHANG
Term weighting schemes often dominate the performance of many classifiers, such as kNN, centroid-based classifier and SVMs.
Ranked #1 on Multi-class Classification on Reuters-52