no code implementations • EMNLP 2021 • Tao Ji, Yong Jiang, Tao Wang, Zhongqiang Huang, Fei Huang, Yuanbin Wu, Xiaoling Wang
Adapting word order from one language to another is a key problem in cross-lingual structured prediction.
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.
no code implementations • Findings (ACL) 2022 • Tao Wang, Linhai Zhang, Chenchen Ye, Junxi Liu, Deyu Zhou
Medical code prediction from clinical notes aims at automatically associating medical codes with the clinical notes.
no code implementations • EMNLP 2021 • Tao Ji, Yong Jiang, Tao Wang, Zhongqiang Huang, Fei Huang, Yuanbin Wu, Xiaoling Wang
Transition systems usually contain various dynamic structures (e. g., stacks, buffers).
no code implementations • 13 May 2022 • Ehud Lehrer, Tao Wang
We consider stopping problems in which a decision maker (DM) faces an unknown state of nature and decides sequentially whether to stop and take an irreversible action; pay a fee and obtain additional information; or wait without acquiring information.
no code implementations • 13 May 2022 • Jinlong Peng, Zekun Luo, Liang Liu, Boshen Zhang, Tao Wang, Yabiao Wang, Ying Tai, Chengjie Wang, Weiyao Lin
Image harmonization aims to generate a more realistic appearance of foreground and background for a composite image.
no code implementations • 17 Apr 2022 • Yingjie Chen, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang
Subject-invariant facial action unit (AU) recognition remains challenging for the reason that the data distribution varies among subjects.
no code implementations • 8 Apr 2022 • Rong Ye, Chengqi Zhao, Tom Ko, Chutong Meng, Tao Wang, Mingxuan Wang, Jun Cao
The training set is translated by a strong machine translation system and the test set is translated by human.
1 code implementation • 29 Mar 2022 • Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang
Existing self-supervised 3D human pose estimation schemes have largely relied on weak supervisions like consistency loss to guide the learning, which, inevitably, leads to inferior results in real-world scenarios with unseen poses.
no code implementations • 28 Mar 2022 • Ruiyang Zhao, Zhao He, Tao Wang, Suhao Qiu, Pawel Herman, Yanle Hu, Chencheng Zhang, Dinggang Shen, Bomin Sun, Guang-Zhong Yang, Yuan Feng
Here we proposed a convolutional long short-term memory (Conv-LSTM) based recurrent neural network (RNN), or ConvLR, to reconstruct interventional images with golden-angle radial sampling.
no code implementations • 12 Mar 2022 • Yingjie Chen, Jiarui Zhang, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang
Facial action units (AUs) play an indispensable role in human emotion analysis.
no code implementations • 11 Mar 2022 • Kai Zhao, Lei Shen, Yingyi Zhang, Chuhan Zhou, Tao Wang, Ruixin Zhang, Shouhong Ding, Wei Jia, Wei Shen
In this paper, by observing that palmar creases are the key information to deep-learning-based palmprint recognition, we propose to synthesize training data by manipulating palmar creases.
1 code implementation • ICCV 2021 • Tao Wang, Ning Xu, Kean Chen, Weiyao Lin
Specifically, graph nodes representing instance features are used for detection and segmentation while graph edges representing instance relations are used for tracking.
no code implementations • 7 Mar 2022 • Zhanhao Hu, Tao Wang, Xiaolin Hu
Compared with rate-based artificial neural networks, Spiking Neural Networks (SNN) provide a more biological plausible model for the brain.
no code implementations • 5 Mar 2022 • Tao Wang, Ruibo Fu, Jiangyan Yi, JianHua Tao, Zhengqi Wen
We have also verified through experiments that this method can effectively control the noise components in the predicted speech and adjust the SNR of speech.
1 code implementation • 1 Mar 2022 • Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang
Our system wins 10 out of 13 tracks in the MultiCoNER shared task.
no code implementations • 21 Feb 2022 • Tao Wang, Jiangyan Yi, Ruibo Fu, JianHua Tao, Zhengqi Wen
It can solve unnatural prosody in the edited region and synthesize the speech corresponding to the unseen words in the transcript.
no code implementations • 17 Feb 2022 • Jiangyan Yi, Ruibo Fu, JianHua Tao, Shuai Nie, Haoxin Ma, Chenglong Wang, Tao Wang, Zhengkun Tian, Ye Bai, Cunhang Fan, Shan Liang, Shiming Wang, Shuai Zhang, Xinrui Yan, Le Xu, Zhengqi Wen, Haizhou Li, Zheng Lian, Bin Liu
Audio deepfake detection is an emerging topic, which was included in the ASVspoof 2021.
1 code implementation • 17 Feb 2022 • Boxue Xiao, Zhuoran Zheng, Xiang Chen, Chen Lv, Yunliang Zhuang, Tao Wang
Currently, most single image dehazing models cannot run an ultra-high-resolution (UHD) image with a single GPU shader in real-time.
no code implementations • 16 Feb 2022 • Tao Wang, Ruibo Fu, Jiangyan Yi, JianHua Tao, Zhengqi Wen
Firstly, we propose a global duration control attention mechanism for the SVS model.
no code implementations • 15 Feb 2022 • Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng
Unlike the original per grid cell object masks, SODAR is implicitly supervised to learn mask representations that encode geometric structure of nearby objects and complement adjacent representations with context.
no code implementations • 13 Feb 2022 • Xu Wang, Yi Jin, Yigang Cen, Tao Wang, Bowen Tang, Yidong Li
Compared with traditional task-irrelevant downsampling methods, task-oriented neural networks have shown improved performance in point cloud downsampling range.
no code implementations • 3 Feb 2022 • Tao Wang, Simin Ma, Soobin Baek, Shihao Yang
As the COVID-19 spread over the globe and new variants of COVID-19 keep occurring, reliable real-time forecasts of COVID-19 hospitalizations are critical for public health decision on medical resources allocations such as ICU beds, ventilators, and personnel to prepare for the surge of COVID-19 pandemics.
no code implementations • 10 Jan 2022 • Tao Hou, Tao Wang, Zhuo Lu, Yao Liu, Yalin Sagduyu
In this research, we propose a novel attack strategy named IoTGAN to manipulate an IoT device's traffic such that it can evade machine learning based IoT device identification.
no code implementations • 5 Jan 2022 • He Liu, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin, Yidong Li
The experimental results on a synthetic dataset reveal that our method outperforms state-of-the-art baselines and achieves consistently high accuracy with the increment of the problem size.
no code implementations • 5 Jan 2022 • He Liu, Tao Wang, Yidong Li, Congyan Lang, Songhe Feng, Haibin Ling
Most previous learning-based graph matching algorithms solve the \textit{quadratic assignment problem} (QAP) by dropping one or more of the matching constraints and adopting a relaxed assignment solver to obtain sub-optimal correspondences.
no code implementations • 27 Dec 2021 • Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang
To address this problem, in this paper we design a novel propagation mechanism, which can automatically change the propagation and aggregation process according to homophily or heterophily between node pairs.
no code implementations • 19 Dec 2021 • Xue Li, Tengfei Liang, Yi Jin, Tao Wang, Yidong Li
Unsupervised person re-identification (ReID) is a challenging task without data annotation to guide discriminative learning.
no code implementations • 13 Dec 2021 • Nan Du, Yanping Huang, Andrew M. Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathy Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V Le, Yonghui Wu, Zhifeng Chen, Claire Cui
Scaling language models with more data, compute and parameters has driven significant progress in natural language processing.
Ranked #2 on
Question Answering
on Natural Questions
(EM metric)
1 code implementation • 13 Dec 2021 • Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
As text representations take the most important role in MNER, in this paper, we propose {\bf I}mage-{\bf t}ext {\bf A}lignments (ITA) to align image features into the textual space, so that the attention mechanism in transformer-based pretrained textual embeddings can be better utilized.
1 code implementation • 7 Dec 2021 • Tianyu Guo, Hong Liu, Zhan Chen, Mengyuan Liu, Tao Wang, Runwei Ding
In this paper, to make better use of the movement patterns introduced by extreme augmentations, a Contrastive Learning framework utilizing Abundant Information Mining for self-supervised action Representation (AimCLR) is proposed.
1 code implementation • 5 Dec 2021 • Tao Wang, Hong Liu, Pinhao Song, Tianyu Guo, Wei Shi
Therefore, we propose a transformer-based Pose-guided Feature Disentangling (PFD) method by utilizing pose information to clearly disentangle semantic components (e. g. human body or joint parts) and selectively match non-occluded parts correspondingly.
no code implementations • 17 Nov 2021 • Xinxing Wu, Tao Wang, Peide Liu, Gul Deniz Cayli, Xu Zhang
By introducing a new operator for IFVs via the linear order based on a score function and an accuracy function, we present that such an operator is a strong negation on IFVs.
1 code implementation • NeurIPS 2021 • Tao Wang, Jianfeng Zhang, Yujun Cai, Shuicheng Yan, Jiashi Feng
Instead of estimating 3D joint locations from costly volumetric representation or reconstructing the per-person 3D pose from multiple detected 2D poses as in previous methods, MvP directly regresses the multi-person 3D poses in a clean and efficient way, without relying on intermediate tasks.
no code implementations • 18 Oct 2021 • Tengfei Liang, Yi Jin, Yajun Gao, Wu Liu, Songhe Feng, Tao Wang, Yidong Li
The existing convolutional neural network-based methods mainly face the problem of insufficient perception of modalities' information, and can not learn good discriminative modality-invariant embeddings for identities, which limits their performance.
Cross-Modality Person Re-identification
Person Re-Identification
1 code implementation • 15 Sep 2021 • Zhengyao Wen, Wenzhong Lin, Tao Wang, Ge Xu
To address these issues, we propose our DAN with three key components: Feature Clustering Network (FCN), Multi-head cross Attention Network (MAN), and Attention Fusion Network (AFN).
Ranked #2 on
Facial Expression Recognition
on AffectNet
1 code implementation • ICCV 2021 • Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng, Shuicheng Yan
Recently, DETR pioneered the solution of vision tasks with transformers, it directly translates the image feature map into the object detection result.
1 code implementation • EMNLP 2021 • Xinyin Ma, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Weiming Lu
Entity retrieval, which aims at disambiguating mentions to canonical entities from massive KBs, is essential for many tasks in natural language processing.
Ranked #1 on
Entity Retrieval
on ZESHEL
2 code implementations • 1 Sep 2021 • He Liu, Tao Wang, Yidong Li, Congyan Lang, Yi Jin, Haibin Ling
In this paper, we propose a joint \emph{graph learning and matching} network, named GLAM, to explore reliable graph structures for boosting graph matching.
no code implementations • Findings (EMNLP) 2021 • Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei LI, Hang Li, Deyi Xiong
This paper presents Self-correcting Encoding (Secoco), a framework that effectively deals with input noise for robust neural machine translation by introducing self-correcting predictors.
no code implementations • 25 Aug 2021 • Minglei Yuan, Wenhai Wang, Tao Wang, Chunhao Cai, Qian Xu, Tong Lu
Few-shot learning aims to recognize new categories using very few labeled samples.
no code implementations • ICCV 2021 • Tao Wang, Yong Li, Jingyang Peng, Yipeng Ma, Xian Wang, Fenglong Song, Youliang Yan
One is a 1D weight vector used for image-level scenario adaptation, the other is a 3D weight map aimed for pixel-wise category fusion.
no code implementations • ACL 2021 • Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
In this paper, we propose a novel unified framework for zero-shot sequence labeling with minimum risk training and design a new decomposable risk function that models the relations between the predicted labels from the source models and the true labels.
no code implementations • ACL 2021 • Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
In structured prediction problems, cross-lingual transfer learning is an efficient way to train quality models for low-resource languages, and further improvement can be obtained by learning from multiple source languages.
2 code implementations • 5 Jul 2021 • ZiCheng Zhang, Wei Sun, Xiongkuo Min, Tao Wang, Wei Lu, Guangtao Zhai
Therefore, many related studies such as point cloud quality assessment (PCQA) and mesh quality assessment (MQA) have been carried out to measure the visual quality degradations of 3D models.
1 code implementation • CVPR 2021 • Zhuoran Zheng, Wenqi Ren, Xiaochun Cao, Xiaobin Hu, Tao Wang, Fenglong Song, Xiuyi Jia
To address the problem, we propose a novel network capable of real-time dehazing of 4K images on a single GPU, which consists of three deep CNNs.
1 code implementation • 2 Jun 2021 • Wei Sun, Tao Wang, Xiongkuo Min, Fuwang Yi, Guangtao Zhai
The proposed VQA framework consists of three modules, the feature extraction module, the quality regression module, and the quality pooling module.
no code implementations • NAACL 2021 • Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei LI, Deyi Xiong
Automatic translation of dialogue texts is a much needed demand in many real life scenarios.
no code implementations • 31 May 2021 • Tao Wang, Ruixin Zhang, Xingyu Chen, Kai Zhao, Xiaolin Huang, Yuge Huang, Shaoxin Li, Jilin Li, Feiyue Huang
Based on this observation, we propose the adaptive feature alignment (AFA) to generate features of arbitrary attacking strengths.
1 code implementation • 17 May 2021 • Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte, Min-Hung Chen, Man-Yu Lee, Yu-Syuan Xu, Yu Tseng, Shusong Xu, Jin Guo, Chao-Hung Chen, Ming-Chun Hsyu, Wen-Chia Tsai, Chao-Wei Chen, Grigory Malivenko, Minsu Kwon, Myungje Lee, Jaeyoon Yoo, Changbeom Kang, Shinjo Wang, Zheng Shaolong, Hao Dejun, Xie Fen, Feng Zhuang, Yipeng Ma, Jingyang Peng, Tao Wang, Fenglong Song, Chih-Chung Hsu, Kwan-Lin Chen, Mei-Hsuang Wu, Vishal Chudasama, Kalpesh Prajapati, Heena Patel, Anjali Sarvaiya, Kishor Upla, Kiran Raja, Raghavendra Ramachandra, Christoph Busch, Etienne de Stoutz
As the quality of mobile cameras starts to play a crucial role in modern smartphones, more and more attention is now being paid to ISP algorithms used to improve various perceptual aspects of mobile photos.
1 code implementation • ACL (IWSLT) 2021 • Chengqi Zhao, Zhicheng Liu, Jian Tong, Tao Wang, Mingxuan Wang, Rong Ye, Qianqian Dong, Jun Cao, Lei LI
For offline speech translation, our best end-to-end model achieves 8. 1 BLEU improvements over the benchmark on the MuST-C test set and is even approaching the results of a strong cascade solution.
no code implementations • 10 May 2021 • Yuanzhong Xu, HyoukJoong Lee, Dehao Chen, Blake Hechtman, Yanping Huang, Rahul Joshi, Maxim Krikun, Dmitry Lepikhin, Andy Ly, Marcello Maggioni, Ruoming Pang, Noam Shazeer, Shibo Wang, Tao Wang, Yonghui Wu, Zhifeng Chen
We present GSPMD, an automatic, compiler-based parallelization system for common machine learning computations.
1 code implementation • ACL 2021 • Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
We find empirically that the contextual representations computed on the retrieval-based input view, constructed through the concatenation of a sentence and its external contexts, can achieve significantly improved performance compared to the original input view based only on the sentence.
Ranked #1 on
Named Entity Recognition
on WNUT 2017
no code implementations • 16 Apr 2021 • Bo Zhao, Peng Sun, Liming Fang, Tao Wang, Keyu Jiang
The results demonstrate its effectiveness and superior performance compared to the state-of-the-art Byzantine-robust schemes in defending against typical data poisoning and model poisoning attacks under practical Non-IID data distributions.
no code implementations • 8 Apr 2021 • Jiangyan Yi, Ye Bai, JianHua Tao, Zhengkun Tian, Chenglong Wang, Tao Wang, Ruibo Fu
Diverse promising datasets have been designed to hold back the development of fake audio detection, such as ASVspoof databases.
no code implementations • 3 Apr 2021 • Tao Wang, Wenjun Xia, Zexin Lu, Huaiqiang Sun, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang
Since the dual-domain MAR methods can leverage the hybrid information from both sinogram and image domains, they have significantly improved the performance compared to single-domain methods.
1 code implementation • 30 Mar 2021 • Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei LI, Deyi Xiong
Automatic translation of dialogue texts is a much needed demand in many real life scenarios.
no code implementations • 26 Feb 2021 • Zun Li, Congyan Lang, Liqian Liang, Tao Wang, Songhe Feng, Jun Wu, Yidong Li
With the aim of matching a pair of instances from two different modalities, cross modality mapping has attracted growing attention in the computer vision community.
no code implementations • 24 Feb 2021 • Tao Wang, Shiying Xiao, Jun Yan, Panpan Zhang
Quantified metrics assessing the relative importance of the province-sectors in the national economy echo the national and regional economic development policies to a certain extent.
Community Detection
Physics and Society
General Economics
Economics
Applications
no code implementations • 22 Feb 2021 • Xu Wang, Yi Jin, Yigang Cen, Tao Wang, Yidong Li
Recently, the advancement of 3D point clouds in deep learning has attracted intensive research in different application domains such as computer vision and robotic tasks.
1 code implementation • 16 Feb 2021 • Tao Wang, Wenjun Xia, Yongqiang Huang, Huaiqiang Sun, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang
With the rapid development of deep learning in the field of medical imaging, several network models have been proposed for metal artifact reduction (MAR) in CT.
no code implementations • 29 Jan 2021 • Tao Wang, Xiangrui Yang, Gianni Antichi, Anirudh Sivaraman, Aurojit Panda
We have open sourced the code for Menshen's hardware and software at https://isolation. quest/.
Networking and Internet Architecture Hardware Architecture
10 code implementations • ICCV 2021 • Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zihang Jiang, Francis EH Tay, Jiashi Feng, Shuicheng Yan
To overcome such limitations, we propose a new Tokens-To-Token Vision Transformer (T2T-ViT), which incorporates 1) a layer-wise Tokens-to-Token (T2T) transformation to progressively structurize the image to tokens by recursively aggregating neighboring Tokens into one Token (Tokens-to-Token), such that local structure represented by surrounding tokens can be modeled and tokens length can be reduced; 2) an efficient backbone with a deep-narrow structure for vision transformer motivated by CNN architecture design after empirical study.
Ranked #210 on
Image Classification
on ImageNet
no code implementations • 4 Jan 2021 • Deniz Aybas, Janos Adam, Emmy Blumenthal, Alexander V. Gramolin, Dorian Johnson, Annalies Kleyheeg, Samer Afach, John W. Blanchard, Gary P. Centers, Antoine Garcon, Martin Engler, Nataniel L. Figueroa, Marina Gil Sendra, Arne Wickenbrock, Matthew Lawson, Tao Wang, Teng Wu, Haosu Luo, Hamdi Mani, Philip Mauskopf, Peter W. Graham, Surjeet Rajendran, Derek F. Jackson Kimball, Dmitry Budker, Alexander O. Sushkov
We calibrated the detector and characterized the excitation spectrum and relaxation parameters of the nuclear spin ensemble with pulsed magnetic resonance measurements in a 4. 4 T magnetic field.
High Energy Physics - Experiment Other Condensed Matter Instrumentation and Detectors
1 code implementation • ICCV 2021 • Senyou Deng, Wenqi Ren, Yanyang Yan, Tao Wang, Fenglong Song, Xiaochun Cao
Although recent research has witnessed a significant progress on the video deblurring task, these methods struggle to reconcile inference efficiency and visual quality simultaneously, especially on ultra-high-definition (UHD) videos (e. g., 4K resolution).
no code implementations • 1 Jan 2021 • Gongpei Zhao, Tao Wang, Yidong Li, Yi Jin
Recently, Graph Convolutioal Networks (GCNs) have achieved significant success in many graph-based learning tasks, especially for node classification, due to its excellent ability in representation learning.
1 code implementation • 1 Jan 2021 • Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng
Recently proposed one-stage instance segmentation models (\emph{e. g.}, SOLO) learn to directly predict location-specific object mask with fully-convolutional networks.
no code implementations • ICCV 2021 • Zhuoran Zheng, Wenqi Ren, Xiaochun Cao, Tao Wang, Xiuyi Jia
First, we propose a dual-path network to extract content and chromatic features at a reduced resolution of the low dynamic range (LDR) input.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
The neural linear-chain CRF model is one of the most widely-used approach to sequence labeling.
no code implementations • 7 Nov 2020 • Sameer Kumar, James Bradbury, Cliff Young, Yu Emma Wang, Anselm Levskaya, Blake Hechtman, Dehao Chen, HyoukJoong Lee, Mehmet Deveci, Naveen Kumar, Pankaj Kanwar, Shibo Wang, Skye Wanderman-Milne, Steve Lacy, Tao Wang, Tayo Oguntebi, Yazhou Zu, Yuanzhong Xu, Andy Swing
Recent results in language understanding using neural networks have required training hardware of unprecedentedscale, with thousands of chips cooperating on a single training run.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Jie He, Tao Wang, Deyi Xiong, Qun Liu
Our experiments and analyses demonstrate that neural machine translation performs poorly on commonsense reasoning of the three ambiguity types in terms of both reasoning accuracy ( 6 60. 1{\%}) and reasoning consistency (6 31{\%}).
1 code implementation • 30 Oct 2020 • Tengfei Liang, Yi Jin, Yidong Li, Tao Wang, Songhe Feng, Congyan Lang
In this paper, we propose the Edge enhancement based Densely connected Convolutional Neural Network (EDCNN).
Ranked #1 on
Denoising
on AAPM
no code implementations • 16 Oct 2020 • Li Yuan, Yichen Zhou, Shuning Chang, Ziyuan Huang, Yunpeng Chen, Xuecheng Nie, Tao Wang, Jiashi Feng, Shuicheng Yan
Prior works always fail to deal with this problem in two aspects: (1) lacking utilizing information of the scenes; (2) lacking training data in the crowd and complex scenes.
1 code implementation • 14 Oct 2020 • HanQin Cai, Keaton Hamm, Longxiu Huang, Jiaqi Li, Tao Wang
Robust principal component analysis (RPCA) is a widely used tool for dimension reduction.
1 code implementation • ACL 2021 • Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
Pretrained contextualized embeddings are powerful word representations for structured prediction tasks.
Ranked #1 on
Part-Of-Speech Tagging
on ARK
1 code implementation • ACL 2021 • Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
The objective function of knowledge distillation is typically the cross-entropy between the teacher and the student's output distributions.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
Recent work proposes a family of contextual embeddings that significantly improves the accuracy of sequence labelers over non-contextual embeddings.
Ranked #2 on
Chunking
on CoNLL 2003 (German)
1 code implementation • EMNLP 2020 • Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu
The linear-chain Conditional Random Field (CRF) model is one of the most widely-used neural sequence labeling approaches.
Ranked #3 on
Chunking
on CoNLL 2003 (German)
no code implementations • 30 Aug 2020 • Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Li-Min Wang, Shugong Xu
The task of spatial-temporal action detection has attracted increasing attention among researchers.
no code implementations • 18 Aug 2020 • Guangjin Pan, Tao Wang, Shunqing Zhang, Shugong Xu
Conventional schemes often require extra reference signals or more complicated algorithms to improve the time-of-arrival (TOA) estimation accuracy.
1 code implementation • 3 Aug 2020 • Changmeng Zheng, Zhiwei Wu, Tao Wang, Cai Yi, Qing Li
To better exploit visual and textual information in NER, we propose an adversarial gated bilinear attention neural network (AGBAN).
1 code implementation • ECCV 2020 • Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng
Specifically, we systematically investigate performance drop of the state-of-the-art two-stage instance segmentation model Mask R-CNN on the recent long-tail LVIS dataset, and unveil that a major cause is the inaccurate classification of object proposals.
1 code implementation • 8 Jul 2020 • Tao Wang, Yuanzheng Cai, Lingyu Liang, Dongyi Ye
We address the problem of localizing waste objects from a color image and an optional depth image, which is a key perception component for robotic interaction with such objects.
1 code implementation • CVPR 2020 • Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng
Solving long-tail large vocabulary object detection with deep learning based models is a challenging and demanding task, which is however under-explored. In this work, we provide the first systematic analysis on the underperformance of state-of-the-art models in front of long-tail distribution.
no code implementations • CVPR 2020 • Tao Wang, He Liu, Yidong Li, Yi Jin, Xiaohui Hou, Haibin Ling
Learning-based approaches to graph matching have been developed and explored for more than a decade, have grown rapidly in scope and popularity in recent years.
no code implementations • 12 May 2020 • Fei Gao, Jingjie Zhu, Zeyuan Yu, Peng Li, Tao Wang
The whole portrait drawing robotic system is named AiSketcher.
no code implementations • 9 May 2020 • Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Rui Qian, Tao Wang, Ning Xu, Hongkai Xiong, Guo-Jun Qi, Nicu Sebe
We demonstrate that the proposed method is able to boost the performance of existing pose estimation pipelines on our HiEve dataset.
no code implementations • 24 Apr 2020 • Tao Wang, Junsong Wang, Chang Xu, Chao Xue
With the best searched quantization policy, we subsequently retrain or finetune to further improve the performance of the quantized target network.
no code implementations • 10 Apr 2020 • Guangjin Pan, Tao Wang, Xiufeng Jiang, Shunqing Zhang
Positioning is becoming a key component in many Internet of Things (IoT) applications.
1 code implementation • ACL 2020 • Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, Kewei Tu
Multilingual sequence labeling is a task of predicting label sequences using a single unified model for multiple languages.
no code implementations • 8 Feb 2020 • Qian Liu, Tao Wang, Jie Liu, Yang Guan, Qi Bu, Longfei Yang
In order to learn powerful feature of videos, we propose a Collaborative Temporal Modeling (CTM) block (Figure 1) to learn temporal information for action recognition.
no code implementations • 7 Feb 2020 • Qian Liu, Dongyang Cai, Jie Liu, Nan Ding, Tao Wang
The standard non-local (NL) module is effective in aggregating frame-level features on the task of video classification but presents low parameters efficiency and high computational cost.
no code implementations • 9 Dec 2019 • Tao Wang, Xuming He, Yuanzheng Cai, Guobao Xiao
We present a context aware object detection method based on a retrieve-and-transform scene layout model.
no code implementations • 2 Dec 2019 • Tao Wang, Shaohui Kuang, Deyi Xiong, António Branco
As neural machine translation (NMT) is not easily amenable to explicit correction of errors, incorporating pre-specified translations into NMT is widely regarded as a non-trivial challenge.
1 code implementation • 29 Oct 2019 • Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven Hoi, Jiashi Feng
In this report, we investigate the performance drop phenomenon of state-of-the-art two-stage instance segmentation models when processing extreme long-tail training data based on the LVIS [5] dataset, and find a major cause is the inaccurate classification of object proposals.
no code implementations • ICCV 2019 • Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Xiaohui Hou
This paper addresses the problem of deformable surface tracking from monocular images.
no code implementations • 25 Sep 2019 • Mengmi Zhang, Tao Wang, Joo Hwee Lim, Jiashi Feng
Without tampering with the performance on initial tasks, our method learns novel concepts given a few training examples of each class in new tasks.
2 code implementations • CVPR 2020 • Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng
Without any extra computation cost, Tf-KD achieves up to 0. 65\% improvement on ImageNet over well-established baseline models, which is superior to label smoothing regularization.
no code implementations • 21 Sep 2019 • Sameer Kumar, Victor Bitorff, Dehao Chen, Chiachen Chou, Blake Hechtman, HyoukJoong Lee, Naveen Kumar, Peter Mattson, Shibo Wang, Tao Wang, Yuanzhong Xu, Zongwei Zhou
The recent submission of Google TPU-v3 Pods to the industry wide MLPerf v0. 6 training benchmark demonstrates the scalability of a suite of industry relevant ML models.
no code implementations • 14 Aug 2019 • Tao Wang, Xinmin Wu, Taiping He
Experiments show that this synthetic data generation is very effective in applications such as fraud detection in financial data.
1 code implementation • CVPR 2020 • Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng
In this work, we propose a new \emph{global} similarity metric, termed as \emph{central similarity}, with which the hash codes of similar data pairs are encouraged to approach a common center and those for dissimilar pairs to converge to different centers, to improve hash learning efficiency and retrieval accuracy.
3 code implementations • CVPR 2019 • Tao Wang, Li Yuan, Xiaopeng Zhang, Jiashi Feng
To address the challenge of distilling knowledge in detection model, we propose a fine-grained feature imitation method exploiting the cross-location discrepancy of feature response.
1 code implementation • 23 May 2019 • Mengmi Zhang, Tao Wang, Joo Hwee Lim, Gabriel Kreiman, Jiashi Feng
In each classification task, our method learns a set of variational prototypes with their means and variances, where embedding of the samples from the same class can be represented in a prototypical distribution and class-representative prototypes are separated apart.
no code implementations • 1 May 2019 • Taiping He, Tao Wang, Ralph Abbey, Joshua Griffin
The support vector machines (SVM) algorithm is a popular classification technique in data mining and machine learning.
no code implementations • 1 May 2019 • Tao Wang, Irene Cheng, Anup Basu
This paper presents an automatic brain tumor segmentation method based on a Normalized Gaussian Bayesian classification and a new 3D Fluid Vector Flow (FVF) algorithm.
no code implementations • 1 May 2019 • Tao Wang, Anup Basu
A 3D thinning algorithm erodes a 3D binary image layer by layer to extract the skeletons.
no code implementations • CVPR 2019 • Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng
To address these challenges, we first introduce a pairing mechanism over source and target features to alleviate the issue of insufficient target domain samples.
no code implementations • 21 Mar 2019 • Tao Wang
Second, it proposes a unified analytical framework for trustable machine learning by using blockchain technology.
2 code implementations • 14 Feb 2019 • Peng Wang, Hong Xu, Xin Jin, Tao Wang
Mice payments are directly sent by looking up a routing table with a few precomputed paths to reduce probing overhead.
Networking and Internet Architecture
no code implementations • 10 Jan 2019 • Gengyu Lyu, Songhe Feng, Tao Wang, Congyan Lang, Yidong Li
Partial Label Learning (PLL) aims to learn from the data where each training example is associated with a set of candidate labels, among which only one is correct.
no code implementations • 16 Nov 2018 • Chris Ying, Sameer Kumar, Dehao Chen, Tao Wang, Youlong Cheng
Deep learning is extremely computationally intensive, and hardware vendors have responded by building faster accelerators in large clusters.
no code implementations • 1 Mar 2018 • Tao Wang, Gian Piero Puccioni, Gian Luca Lippi
We present a simple and flexible technique for identifying the onset of coherent emission in lasers, from the mesoscale to the nanoscale, which makes use of photon counting and a small amplitude modulation added to the pump.
Optics
no code implementations • 7 Dec 2015 • Pranav Rajpurkar, Toki Migimatsu, Jeff Kiske, Royce Cheng-Yue, Sameep Tandon, Tao Wang, Andrew Ng
While emerging deep-learning systems have outclassed knowledge-based approaches in many tasks, their application to detection tasks for autonomous technologies remains an open field for scientific exploration.
no code implementations • 7 Apr 2015 • Brody Huval, Tao Wang, Sameep Tandon, Jeff Kiske, Will Song, Joel Pazhayampallil, Mykhaylo Andriluka, Pranav Rajpurkar, Toki Migimatsu, Royce Cheng-Yue, Fernando Mujica, Adam Coates, Andrew Y. Ng
We collect a large data set of highway data and apply deep learning and computer vision algorithms to problems such as car and lane detection.
Ranked #2 on
Lane Detection
on Caltech Lanes Cordova
7 code implementations • 18 Sep 2014 • Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin
Programming language processing (similar to natural language processing) is a hot research topic in the field of software engineering; it has also aroused growing interest in the artificial intelligence community.
no code implementations • 16 Sep 2014 • Tao Wang, Hua Zhu
Consumers' purchase decisions are increasingly influenced by user-generated online reviews.
no code implementations • 18 May 2014 • Tao Ye, Tao Wang, Zhipeng Lu, Jin-Kao Hao
In this paper, we present a multi-parent memetic algorithm (denoted by MPM) for solving the classic Linear Ordering Problem (LOP).
no code implementations • 1 Jan 2014 • Dinesh Govindaraj, Tao Wang, S. V. N. Vishwanathan
Our model seamlessly incorporates the effect of externalities (quality of other search results displayed in response to a user query), user fatigue, as well as pre and post-click relevance of a sponsored search result.
no code implementations • 8 Dec 2013 • Rumeng Li, Tao Wang, Xun Wang
Existing approaches neglect such hierarchical topic structure involved in the news corpus in timeline generation.
no code implementations • CVPR 2013 • Tao Wang, Xuming He, Nick Barnes
We propose a structured Hough voting method for detecting objects with heavy occlusion in indoor environments.