no code implementations • CVPR 2013 • Wei Li, Xiaogang Wang
In this paper, we propose a new approach for matching images observed in different camera views with complex cross-view transforms and apply it to person reidentification.
no code implementations • 16 Jan 2014 • Wei Li, Pascal Poupart, Peter van Beek
Previous studies have demonstrated that encoding a Bayesian network into a SAT formula and then performing weighted model counting using a backtracking search algorithm can be an effective method for exact inference.
no code implementations • 24 Feb 2014 • Huanguo Zhang, Sha Lv, Wei Li, Xun Qu
Instead of projecting an image to its nearest image, we try to project it to its nearest line spanned by two different face images.
no code implementations • 10 Apr 2014 • Wei Hu, Wei Li, Fan Zhang, Qian Du
Decolorization is the process to convert a color image or video to its grayscale version, and it has received great attention in recent years.
no code implementations • CVPR 2014 • Wei Li, Rui Zhao, Tong Xiao, Xiaogang Wang
In this paper, we propose a novel filter pairing neural network (FPNN) to jointly handle misalignment, photometric and geometric transforms, occlusions and background clutter.
no code implementations • 28 Feb 2015 • Weiyao Lin, Ming-Ting Sun, Hongxiang Li, Zhenzhong Chen, Wei Li, Bing Zhou
We demonstrate that this low-computation-complexity method can efficiently catch the characteristics of the frame.
no code implementations • 28 Feb 2015 • Chongyang Zhang, Weiyao Lin, Wei Li, Bing Zhou, Jun Xie, Jijia Li
Image deblurring techniques play important roles in many image processing applications.
no code implementations • 10 Jul 2015 • An Chang, Joshua Cooper, Wei Li
In this paper, we study the analytic connectivity of a $k$-uniform hypergraph $H$, denoted by $\alpha(H)$.
Combinatorics 05C65 (Primary), 05C40, 05B05, 26D15 (Secondary)
no code implementations • 8 Nov 2015 • Wei Li, Mingquan Qiu, Zhencai Zhu, Bo Wu, Gongbo Zhou
Bearing fault diagnosis has been a challenge in the monitoring activities of rotating machinery, and it's receiving more and more attention.
no code implementations • 15 Mar 2016 • Wei Li, Melvin Gauci, Roderich Gross
We present two case studies with swarms of simulated robots and prove that the underlying behaviors cannot be inferred by a metric-based system identification method.
no code implementations • 10 Jul 2016 • Wei Li, Farnaz Abtahi, Christina Tsangouri, Zhigang Zhu
To evaluate the dataset, we compared the performance of two deep learning models trained on both GaMo and CIFE.
no code implementations • 18 Jul 2016 • Wei Li, Matthias Breier, Dorit Merhof
Aiming at improving the performance of existing detection algorithms developed for different applications, we propose a region regression-based multi-stage class-agnostic detection pipeline, whereby the existing algorithms are employed for providing the initial detection proposals.
3 code implementations • 21 Jul 2016 • Peng Li, Wei Li, Zhengyan He, Xuguang Wang, Ying Cao, Jie zhou, Wei Xu
While question answering (QA) with neural network, i. e. neural QA, has achieved promising results in recent years, lacking of large scale real-word QA dataset is still a challenge for developing and evaluating neural QA system.
1 code implementation • 2 Aug 2016 • Yuanjun Xiong, Li-Min Wang, Zhe Wang, Bo-Wen Zhang, Hang Song, Wei Li, Dahua Lin, Yu Qiao, Luc van Gool, Xiaoou Tang
This paper presents the method that underlies our submission to the untrimmed video classification task of ActivityNet Challenge 2016.
no code implementations • 4 Aug 2016 • Wei Li, Christina Tsangouri, Farnaz Abtahi, Zhigang Zhu
In order to increase the expression recognition accuracy, we also fine-tune the CNN model and thus obtain a better CNN facial expression recognition model.
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 1 Oct 2016 • Wei Li, Johannes Lederer
Feature selection is a standard approach to understanding and modeling high-dimensional classification data, but the corresponding statistical methods hinge on tuning parameters that are difficult to calibrate.
no code implementations • 14 Oct 2016 • Wei Li, Zhigang Zhu
We have found that features trained for one task can be used for other related tasks.
1 code implementation • COLING 2016 • Zhe Wang, wei he, Hua Wu, Haiyang Wu, Wei Li, Haifeng Wang, Enhong Chen
Chinese poetry generation is a very challenging task in natural language processing.
no code implementations • 1 Nov 2016 • Wei Li, Brian Kan Wing Mak
In many natural language processing (NLP) tasks, a document is commonly modeled as a bag of words using the term frequency-inverse document frequency (TF-IDF) vector.
no code implementations • COLING 2016 • Lei He, Wei Li, Hai Zhuge
This paper investigates differential topic models (dTM) for summarizing the differences among document groups.
no code implementations • COLING 2016 • Wei Li, Lei He, Hai Zhuge
This paper studies the abstractive multi-document summarization for event-oriented news texts through event information extraction and abstract representation.
no code implementations • 28 Dec 2016 • Asad Khan, Luo Jiang, Wei Li, Ligang Liu
Our algorithm is not restricted to one-to-one image color transfer and can make use of more than one target images to transfer the color in different regions in the source image.
no code implementations • 9 Feb 2017 • Wei Li, Farnaz Abtahi, Zhigang Zhu, Lijun Yin
For the enhancing layers, we designed an attention map based on facial landmark features and applied it to a pretrained neural network to conduct enhanced learning (The E-Net).
no code implementations • 12 Mar 2017 • Saifeng Liu, Huaixiu Zheng, Yesu Feng, Wei Li
A novel deep learning architecture (XmasNet) based on convolutional neural networks was developed for the classification of prostate cancer lesions, using the 3D multiparametric MRI data provided by the PROSTATEx challenge.
no code implementations • EACL 2017 • Wei Li, Brian Mak
In many natural language processing (NLP) tasks, a document is commonly modeled as a bag of words using the term frequency-inverse document frequency (TF-IDF) vector.
no code implementations • CVPR 2017 • Wei Li, Farnaz Abitahi, Zhigang Zhu
Action Unit (AU) detection becomes essential for facial analysis.
no code implementations • 12 May 2017 • Wei Li, Xiatian Zhu, Shaogang Gong
Existing person re-identification (re-id) methods rely mostly on either localised or global feature representation alone.
Ranked #103 on Person Re-Identification on Market-1501
no code implementations • 16 May 2017 • Wen Li, Li-Min Wang, Wei Li, Eirikur Agustsson, Jesse Berent, Abhinav Gupta, Rahul Sukthankar, Luc van Gool
The 2017 WebVision challenge consists of two tracks, the image classification task on WebVision test set, and the transfer learning task on PASCAL VOC 2012 dataset.
1 code implementation • 29 Jun 2017 • Yingying Jiang, Xiangyu Zhu, Xiaobing Wang, Shuli Yang, Wei Li, Hua Wang, Pei Fu, Zhenbo Luo
In this paper, we propose a novel method called Rotational Region CNN (R2CNN) for detecting arbitrary-oriented texts in natural scene images.
no code implementations • 25 Jul 2017 • Fan Zhang, Chen Hu, Qiang Yin, Wei Li, Heng-Chao Li, Wen Hong
However, there is a limitation in current deep learning based ATR solution that each learning process only handle one SAR image, namely learning the static scattering information, while missing the space-varying information.
no code implementations • 9 Aug 2017 • Wen Li, Li-Min Wang, Wei Li, Eirikur Agustsson, Luc van Gool
Our new WebVision database and relevant studies in this work would benefit the advance of learning state-of-the-art visual models with minimum supervision based on web data.
2 code implementations • 1 Sep 2017 • Ruirui Li, Wenjie Liu, Lei Yang, Shihao Sun, Wei Hu, Fan Zhang, Wei Li
Semantic segmentation is a fundamental research in remote sensing image processing.
no code implementations • 17 Sep 2017 • Wei Li, Yunfang Wu
In this paper, we focus on the problem of answer triggering ad-dressed by Yang et al. (2015), which is a critical component for a real-world question answering system.
no code implementations • ICCV 2017 • Jingya Wang, Xiatian Zhu, Shaogang Gong, Wei Li
Recognising semantic pedestrian attributes in surveillance images is a challenging task for computer vision, particularly when the imaging quality is poor with complex background clutter and uncontrolled viewing conditions, and the number of labelled training data is small.
no code implementations • 26 Oct 2017 • Yanzhang He, Rohit Prabhavalkar, Kanishka Rao, Wei Li, Anton Bakhtin, Ian McGraw
We develop streaming keyword spotting systems using a recurrent neural network transducer (RNN-T) model: an all-neural, end-to-end trained, sequence-to-sequence model which jointly learns acoustic and language model components.
no code implementations • 6 Nov 2017 • Wei Li, Zheng Yang
Traditional Chinese Medicine (TCM) has accumulated a big amount of precious resource in the long history of development.
no code implementations • 11 Nov 2017 • Xiangyu Zhu, Yingying Jiang, Shuli Yang, Xiaobing Wang, Wei Li, Pei Fu, Hua Wang, Zhenbo Luo
Scene text detection is a challenging problem in computer vision.
3 code implementations • 17 Nov 2017 • Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Jingjing Xu, Houfeng Wang, Yi Zhang
Based on the sparsified gradients, we further simplify the model by eliminating the rows or columns that are seldom updated, which will reduce the computational cost both in the training and decoding, and potentially accelerate decoding in real-world applications.
1 code implementation • CVPR 2018 • Limin Wang, Wei Li, Wen Li, Luc van Gool
Specifically, SMART blocks decouple the spatiotemporal learning module into an appearance branch for spatial modeling and a relation branch for temporal modeling.
Ranked #51 on Action Recognition on UCF101
no code implementations • NeurIPS 2017 • Roderich Gross, Yue Gu, Wei Li, Melvin Gauci
In this paper we examine how these algorithms relate to the Turing test, and derive what - from a Turing perspective - can be considered their defining features.
no code implementations • 27 Jan 2018 • Wei Li, Zheng Yang, Xu sun
Traditional Chinese Medicine (TCM) is an influential form of medical treatment in China and surrounding areas.
no code implementations • 27 Jan 2018 • Wei Li, Yunfang Wu, Xueqiang Lv
Using low dimensional vector space to represent words has been very effective in many NLP tasks.
1 code implementation • CVPR 2018 • Wei Li, Xiatian Zhu, Shaogang Gong
Existing person re-identification (re-id) methods either assume the availability of well-aligned person bounding box images as model input or rely on constrained attention selection mechanisms to calibrate misaligned images.
Ranked #13 on Person Re-Identification on CUHK03 detected
no code implementations • 5 Mar 2018 • Zhiyuan Zhang, Wei Li, Qi Su
In this paper, we propose to build an end-to-end neural model to automatically translate between ancient and contemporary Chinese.
1 code implementation • NAACL 2018 • Shuming Ma, Xu sun, Wei Li, Sujian Li, Wenjie Li, Xuancheng Ren
The existing sequence-to-sequence model tends to memorize the words and the patterns in the training dataset instead of learning the meaning of the words.
1 code implementation • 17 Mar 2018 • Wei Hu, Yangyu Huang, Fan Zhang, Ruirui Li, Wei Li, Guodong Yuan
Deep convolutional neural networks (CNNs) have greatly improved the Face Recognition (FR) performance in recent years.
Ranked #1 on Face Verification on YouTube Faces DB
no code implementations • CVPR 2018 • Jingya Wang, Xiatian Zhu, Shaogang Gong, Wei Li
Most existing person re-identification (re-id) methods require supervised model learning from a separate large set of pairwise labelled training data for every single camera pair.
Ranked #22 on Unsupervised Domain Adaptation on Market to Duke
no code implementations • 23 Apr 2018 • Wei Li
Blockchain stores information into a chain of blocks, whose integrity is usually guaranteed by Proof of Work (PoW).
Cryptography and Security Distributed, Parallel, and Cluster Computing
no code implementations • 26 Apr 2018 • Honggang Zhou, Yunchun Li, Hailong Yang, Wei Li, Jie Jia
However, the learning and inference of BN model are NP-hard thus the number of stochastic variables in BN is highly constrained.
no code implementations • 29 Apr 2018 • Kai Yue, Lei Yang, Ruirui Li, Wei Hu, Fan Zhang, Wei Li
For the task of subdecimeter aerial imagery segmentation, fine-grained semantic segmentation results are usually difficult to obtain because of complex remote sensing content and optical conditions.
no code implementations • 1 May 2018 • Bo Zhang, Wei Li, Jie Hao, Xiao-Li Li, Meng Zhang
The layers between the source and target feature extractor are partially untied during the training stage to take both training efficiency and domain adaptation into consideration.
1 code implementation • ACL 2018 • Pengcheng Yang, Xu sun, Wei Li, Shuming Ma
As more and more academic papers are being submitted to conferences and journals, evaluating all these papers by professionals is time-consuming and can cause inequality due to the personal factors of the reviewers.
2 code implementations • 5 Jun 2018 • Bo Yang Hsueh, Wei Li, I-Chen Wu
Learning rate scheduler has been a critical issue in the deep neural network training.
1 code implementation • COLING 2018 • Pengcheng Yang, Xu sun, Wei Li, Shuming Ma, Wei Wu, Houfeng Wang
Further analysis of experimental results demonstrates that the proposed methods not only capture the correlations between labels, but also select the most informative words automatically when predicting different labels.
no code implementations • 26 Jul 2018 • Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu
To address this issue, various approximation techniques have been investigated, which seek for a light weighted network with little performance degradation in exchange of smaller model size or faster inference.
no code implementations • 29 Jul 2018 • Wei Li, Brian Mak
This paper further adds a distance constraint to the training objective function of NV so that the two embeddings of a parallel document are required to be as close as possible.
Cross-Lingual Document Classification Document Classification +5
no code implementations • 14 Aug 2018 • Zhiyuan Zhang, Wei Li, Jingjing Xu, Xu sun
We define the primal meaning of an expression to be a frequently used sense of that expression from which its other frequent senses can be deduced.
no code implementations • 16 Aug 2018 • Wei Li, Xuancheng Ren, Damai Dai, Yunfang Wu, Houfeng Wang, Xu sun
In the experiments, we take a real-world sememe knowledge base HowNet and the corresponding descriptions of the words in Baidu Wiki for training and evaluation.
1 code implementation • EMNLP 2018 • Minghua Zhang, Yunfang Wu, Weikang Li, Wei Li
In the encoding we propose a mean-max strategy that applies both mean and max pooling operations over the hidden vectors to capture diverse information of the input.
5 code implementations • 24 Sep 2018 • Xiaodong Liu, Wei Li, Yuwei Fang, Aerin Kim, Kevin Duh, Jianfeng Gao
This paper presents an extension of the Stochastic Answer Network (SAN), one of the state-of-the-art machine reading comprehension models, to be able to judge whether a question is unanswerable or not.
no code implementations • EMNLP 2018 • Wei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang
Information selection is the most important component in document summarization task.
Ranked #32 on Abstractive Text Summarization on CNN / Daily Mail
no code implementations • EMNLP 2018 • Wei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang
Recent neural sequence-to-sequence models have shown significant progress on short text summarization.
Ranked #43 on Abstractive Text Summarization on CNN / Daily Mail
no code implementations • 9 Oct 2018 • Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang
Attention mechanisms have been widely used in Visual Question Answering (VQA) solutions due to their capacity to model deep cross-domain interactions.
1 code implementation • 20 Nov 2018 • Ke Chen, Weilin Zhang, Shlomo Dubnov, Gus Xia, Wei Li
With recent breakthroughs in artificial neural networks, deep generative models have become one of the leading techniques for computational creativity.
no code implementations • 25 Nov 2018 • Keren Ye, Mingda Zhang, Wei Li, Danfeng Qin, Adriana Kovashka, Jesse Berent
To alleviate the cost of obtaining accurate bounding boxes for training today's state-of-the-art object detection models, recent weakly supervised detection work has proposed techniques to learn from image-level labels.
no code implementations • NeurIPS 2018 • Xundong Wu, Xiangwen Liu, Wei Li, Qing Wu
In this study, we model such local nonlinearity of dendritic trees with our dendritic neural network (DENN) structure and apply this structure to typical machine learning tasks.
1 code implementation • 7 Dec 2018 • Timothy Yang, Galen Andrew, Hubert Eichner, Haicheng Sun, Wei Li, Nicholas Kong, Daniel Ramage, Françoise Beaufays
Federated learning is a distributed form of machine learning where both the training data and model training are decentralized.
no code implementations • 27 Dec 2018 • Husheng Zhou, Wei Li, Yuankun Zhu, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu
Furthermore, DeepBillboard is sufficiently robust and resilient for generating physical-world adversarial billboard tests for real-world driving under various weather conditions.
1 code implementation • 23 Jan 2019 • Wei Li, Chengwei Pan, Rong Zhang, Jiaping Ren, Yuexin Ma, Jin Fang, Feilong Yan, Qichuan Geng, Xinyu Huang, Huajun Gong, Weiwei Xu, Guoping Wang, Dinesh Manocha, Ruigang Yang
Our augmented approach combines the flexibility in a virtual environment (e. g., vehicle movements) with the richness of the real world to allow effective simulation of anywhere on earth.
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 • 12 Mar 2019 • Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng
Segmentation stands at the forefront of many high-level vision tasks.
5 code implementations • 17 Apr 2019 • Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Pipei Huang, Huan Zhao, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee
Industrial recommender systems usually consist of the matching stage and the ranking stage, in order to handle the billion-scale of users and items.
Ranked #1 on Information Retrieval on Amazon
4 code implementations • 25 Apr 2019 • Ming Li, Chunyang Ye, Wei Li
Photorealistic style transfer aims to transfer the style of one image to another, but preserves the original structure and detail outline of the content image, which makes the content image still look like a real shot after the style transfer.
no code implementations • 9 May 2019 • Wen-Shuai Hu, Heng-Chao Li, Lei Pan, Wei Li, Ran Tao, Qian Du
Particularly, long short-term memory (LSTM), as a special deep learning structure, has shown great ability in modeling long-term dependencies in the time dimension of video or the spectral dimension of HSIs.
9 code implementations • 15 May 2019 • Qiwei Chen, Huan Zhao, Wei Li, Pipei Huang, Wenwu Ou
Deep learning based methods have been widely used in industrial recommendation systems (RSs).
Ranked #9 on Recommendation Systems on MovieLens 1M
2 code implementations • 31 May 2019 • Li-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu
Many of the strongest game playing programs use a combination of Monte Carlo tree search (MCTS) and deep neural networks (DNN), where the DNNs are used as policy or value evaluators.
1 code implementation • 4 Jun 2019 • Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu, Xu sun
In this paper, we propose to generate comments with a graph-to-sequence model that models the input news as a topic interaction graph.
no code implementations • ACL 2019 • Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li, Colin Raffel
Simultaneous machine translation begins to translate each source sentence before the source speaker is finished speaking, with applications to live and streaming scenarios.
1 code implementation • ACL 2019 • Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu, Xu sun
In this paper, we propose to generate comments with a graph-to-sequence model that models the input news as a topic interaction graph.
no code implementations • 3 Jul 2019 • Wei Li, Zehuan Yuan, Dashan Guo, Lei Huang, Xiangzhong Fang, Changhu Wang
To perform action detection, we design a 3D convolution network with skip connections for tube classification and regression.
1 code implementation • ICCV 2019 • Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, Jesse Berent
Learning to localize and name object instances is a fundamental problem in vision, but state-of-the-art approaches rely on expensive bounding box supervision.
1 code implementation • 29 Aug 2019 • Tara N. Sainath, Ruoming Pang, David Rybach, Yanzhang He, Rohit Prabhavalkar, Wei Li, Mirkó Visontai, Qiao Liang, Trevor Strohman, Yonghui Wu, Ian McGraw, Chung-Cheng Chiu
However, this model still lags behind a large state-of-the-art conventional model in quality [2].
1 code implementation • ISPRS Journal of Photogrammetry and Remote Sensing 2019 • Yangbin Lin, Cheng Wang, Dawei Zhai, Wei Li, Jonathan Li
In this paper, we present a simple but effective supervoxel segmentation method for point clouds, which formalizes supervoxel segmentation as a subset selection problem.
no code implementations • IEEE Transactions on Geoscience and Remote Sensing 2019 • Ji He, Lina Zhao, HongWei Yang, Mengmeng Zhang, Wei Li
Moreover, several attentions are learned by different heads, and each head of the MHSA layer encodes the semantic context-aware representation to obtain discriminative features.
no code implementations • 7 Sep 2019 • Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie zhou, Xu sun
Graph Neural Networks (GNNs) have achieved promising performance on a wide range of graph-based tasks.
Ranked #52 on Node Classification on Cora
no code implementations • 18 Sep 2019 • Wei Li, Shuheng Li, Shuming Ma, Yancheng He, Deli Chen, Xu sun
Graph is a natural structure to describe the complicated relation between tokens.
no code implementations • 25 Sep 2019 • Wei Li, Shaogang Gong, Xiatian Zhu
We address this limitation by additionally exploiting feature self-calibration operations, resulting in a heterogeneous search space.
no code implementations • 1 Oct 2019 • Wei Zhang, Wei Li, Lei Han
Very short-term convective storm forecasting, termed nowcasting, has long been an important issue and has attracted substantial interest.
no code implementations • COLING 2016 • Wei Li, Yunfang Wu
In this paper we focus on the problem of dialog act (DA) labelling.
no code implementations • 21 Oct 2019 • Kai Bai, Wei Li, Mathieu Desbrun, Xiaopei Liu
We propose a novel dictionary-based neural network which learns both a fast evaluation of sparse patch encoding and a dictionary of corresponding coarse and fine patches from a sequence of example simulations computed with any numerical solver.
Graphics
51 code implementations • arXiv 2019 • Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu
Transfer learning, where a model is first pre-trained on a data-rich task before being fine-tuned on a downstream task, has emerged as a powerful technique in natural language processing (NLP).
Ranked #1 on Sentiment Analysis on SST-2 Binary classification
1 code implementation • 28 Nov 2019 • Rong Zhang, Wei Li, Peng Wang, Chenye Guan, Jin Fang, Yuhang Song, Jinhui Yu, Baoquan Chen, Weiwei Xu, Ruigang Yang
To deal with shadows, we build up an autonomous driving shadow dataset and design a deep neural network to detect shadows automatically.
no code implementations • 7 Feb 2020 • Wei Li, Amin Kiaghadi, Clint N. Dawson
Accurate and efficient models for rainfall runoff (RR) simulations are crucial for flood risk management.
no code implementations • 28 Mar 2020 • Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alex Gruenstein, Ke Hu, Minho Jin, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirko Visontai, Yonghui Wu, Yu Zhang, Ding Zhao
Thus far, end-to-end (E2E) models have not been shown to outperform state-of-the-art conventional models with respect to both quality, i. e., word error rate (WER), and latency, i. e., the time the hypothesis is finalized after the user stops speaking.
no code implementations • 8 Apr 2020 • Yifu Sun, xulong Zhang, Yi Yu, Xi Chen, Wei Li
Singing voice detection (SVD), to recognize vocal parts in the song, is an essential task in music information retrieval (MIR).
no code implementations • 13 Apr 2020 • Tao Zhang, Wei Li
On the ImageNet, accuracy is improved by 1. 25\%.
2 code implementations • 14 Apr 2020 • Shu Liu, Wei Li, Yunfang Wu, Qi Su, Xu sun
Target-Based Sentiment Analysis aims to detect the opinion aspects (aspect extraction) and the sentiment polarities (sentiment detection) towards them.
1 code implementation • 14 Apr 2020 • Siyu Duan, Wei Li, Cai Jing, Yancheng He, Yunfang Wu, Xu sun
In this paper, we propose the query-variant advertisement text generation task that aims to generate candidate advertisement texts for different web search queries with various needs based on queries and item keywords.
no code implementations • 19 May 2020 • Wenjie Li, Benlai Tang, Xiang Yin, Yushi Zhao, Wei Li, Kang Wang, Hao Huang, Yuxuan Wang, Zejun Ma
Accent conversion (AC) transforms a non-native speaker's accent into a native accent while maintaining the speaker's voice timbre.
2 code implementations • ACL 2020 • Wei Li, Xinyan Xiao, Jiachen Liu, Hua Wu, Haifeng Wang, Junping Du
Graphs that capture relations between textual units have great benefits for detecting salient information from multiple documents and generating overall coherent summaries.
1 code implementation • 31 May 2020 • Wei Li, Wei Shao, Shaoxiong Ji, Erik Cambria
Sentiment analysis in conversations has gained increasing attention in recent years for the growing amount of applications it can serve, e. g., sentiment analysis, recommender systems, and human-robot interaction.
Ranked #39 on Emotion Recognition in Conversation on IEMOCAP
no code implementations • CVPR 2020 • Xibin Song, Yuchao Dai, Dingfu Zhou, Liu Liu, Wei Li, Hongdng Li, Ruigang Yang
Second, we propose a new framework for real-world DSR, which consists of four modules : 1) An iterative residual learning module with deep supervision to learn effective high-frequency components of depth maps in a coarse-to-fine manner; 2) A channel attention strategy to enhance channels with abundant high-frequency components; 3) A multi-stage fusion module to effectively re-exploit the results in the coarse-to-fine process; and 4) A depth refinement module to improve the depth map by TGV regularization and input loss.
no code implementations • 26 Jun 2020 • Wei Li, Ruihan Bao, Keiko Harimoto, Deli Chen, Jingjing Xu and Qi Su
Further analysis shows that the introduction of the graph enables our model to predict the movement of stocks that are not directly associated with news as well as the whole market, which is not available in most previous methods.
no code implementations • 16 Jul 2020 • Feixiang Lu, Zongdai Liu, Xibin Song, Dingfu Zhou, Wei Li, Hui Miao, Miao Liao, Liangjun Zhang, Bin Zhou, Ruigang Yang, Dinesh Manocha
We present a novel approach to detect, segment, and reconstruct complete textured 3D models of vehicles from a single image for autonomous driving.
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.
2 code implementations • ECCV 2020 • Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, Ruigang Yang
To get clear street-view and photo-realistic simulation in autonomous driving, we present an automatic video inpainting algorithm that can remove traffic agents from videos and synthesize missing regions with the guidance of depth/point cloud.
Ranked #1 on Image Inpainting on ApolloScape
1 code implementation • 31 Jul 2020 • Ya-guan Qian, Ximin Zhang, Bin Wang, Wei Li, Zhaoquan Gu, Haijiang Wang, Wassim Swaileh
In this paper, we propose a novel method (TEAM, Taylor Expansion-Based Adversarial Methods) to generate more powerful adversarial examples than previous methods.
no code implementations • 14 Aug 2020 • Wensheng Cheng, Hao Luo, Wen Yang, Lei Yu, Wei Li
We then propose a structure-aware network for lane marker extraction in DVS images.
no code implementations • 19 Aug 2020 • Xiangtong Wang, Binbin Liang, Menglong Yang, Wei Li
Current computer vision tasks based on deep learning require a huge amount of data with annotations for model training or testing, especially in some dense estimation tasks, such as optical flow segmentation and depth estimation.
no code implementations • 19 Aug 2020 • Wei Li, Brian Mak
One of the current state-of-the-art multilingual document embedding model LASER is based on the bidirectional LSTM neural machine translation model.
no code implementations • 19 Aug 2020 • Ying Qu, Razieh Kaviani Baghbaderani, Wei Li, Lianru Gao, Hairong Qi
Transfer learning-based methods address this problem by pre-training in the source domain and fine-tuning on the target domain.
General Classification Hyperspectral Image Classification +1
no code implementations • 30 Aug 2020 • Wei Li, James Qin, Chung-Cheng Chiu, Ruoming Pang, Yanzhang He
The 2nd-pass model plays a key role in the quality improvement of the end-to-end model to surpass the conventional model.
1 code implementation • 30 Aug 2020 • Kaiyang Li, Guangchun Luo, Yang Ye, Wei Li, Shihao Ji, Zhipeng Cai
In this paper, we propose Adversarial Privacy Graph Embedding (APGE), a graph adversarial training framework that integrates the disentangling and purging mechanisms to remove users' private information from learned node representations.
no code implementations • 4 Sep 2020 • Zhixing Lin, Shuqian Sun, Jose Azana, Wei Li, Ninghua Zhu, Ming Li
This concept represents a novel one-dimensional realization of artificial neural networks, enabling an efficient application of optical deep learning methods to the analysis and processing of serial data signals, while offering a new overall perspective for the temporal signal processing.
1 code implementation • 9 Sep 2020 • Quan Wang, Ignacio Lopez Moreno, Mert Saglam, Kevin Wilson, Alan Chiao, Renjie Liu, Yanzhang He, Wei Li, Jason Pelecanos, Marily Nika, Alexander Gruenstein
We introduce VoiceFilter-Lite, a single-channel source separation model that runs on the device to preserve only the speech signals from a target user, as part of a streaming speech recognition system.
no code implementations • 30 Sep 2020 • Mingchi Zhang, Xuemin Chen, Wei Li
However, the negative pressure waves or guided stress waves may not be easily detected with environmental interference, e. g., the oil and gas pipelines in offshore environment.
1 code implementation • 30 Oct 2020 • Wei Li, Yuanjun Xiong, Shuo Yang, Siqi Deng, Wei Xia
We combine this scheme with SSD detectors by proposing a novel tracking anchor assignment module.
2 code implementations • CVPR 2021 • Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, Dahua Lin
However, we found that in the outdoor point cloud, the improvement obtained in this way is quite limited.
Ranked #2 on 3D Semantic Segmentation on ScribbleKITTI
1 code implementation • CVPR 2021 • Xiaoxiao Long, Lingjie Liu, Wei Li, Christian Theobalt, Wenping Wang
We present a novel method for multi-view depth estimation from a single video, which is a critical task in various applications, such as perception, reconstruction and robot navigation.
1 code implementation • 14 Dec 2020 • Kehe WU, Zuge Chen, Qi Ma, Xiaoliang Zhang, Wei Li
When DSA module and object confidence task are applied in RetinaNet together, the detection performances based on ResNet50 and ResNet101 can be increased by 1. 0% AP and 1. 4% AP respectively.
no code implementations • 18 Dec 2020 • Xingxing Zuo, Nathaniel Merrill, Wei Li, Yong liu, Marc Pollefeys, Guoquan Huang
In this work, we present a lightweight, tightly-coupled deep depth network and visual-inertial odometry (VIO) system, which can provide accurate state estimates and dense depth maps of the immediate surroundings.
1 code implementation • 25 Dec 2020 • Ruixuan Luo, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu sun
Recent deep learning based methods focus on learning clustering oriented representations.
no code implementations • 29 Dec 2020 • Wei Tao, Wei Li, Zhisong Pan, Qing Tao
In order to remove this factor, we first develop gradient descent averaging (GDA), which is a general projection-based dual averaging algorithm in the strongly convex setting.
3 code implementations • ACL 2021 • Wei Li, Can Gao, guocheng niu, Xinyan Xiao, Hao liu, Jiachen Liu, Hua Wu, Haifeng Wang
Existed pre-training methods either focus on single-modal tasks or multi-modal tasks, and cannot effectively adapt to each other.
Ranked #3 on Image Captioning on MS COCO
no code implementations • 1 Jan 2021 • Ali Ghobadzadeh, Deepak Sridhar, Juwei Lu, Wei Li
In this paper, we probe this direction by deriving a relationship between the estimation of unknown parameters of the probability density function (pdf) of input data and classification accuracy.
no code implementations • 1 Jan 2021 • Wei Li, Ruxuan Li, Yuzhe ma, Siu On Chan, Bei Yu
To characterize the power of GNNs for the graph coloring problem, we first formalize the discrimination power of GNNs as the capability to assign nodes different colors.
no code implementations • ICCV 2021 • Pan Li, Da Li, Wei Li, Shaogang Gong, Yanwei Fu, Timothy M. Hospedales
The topical domain generalization (DG) problem asks trained models to perform well on an unseen target domain with different data statistics from the source training domains.
no code implementations • 13 Jan 2021 • Wei Li, Denis Mike Becker
In the context of trade liberalisation and market harmonisation in the European markets, accurate price forecasting becomes difficult for electricity market participants to obtain because electricity forecasting requires the consideration of features from ever-growing coupling markets.
no code implementations • 14 Jan 2021 • Jing-Rong Wang, Wei Li, Chang-Jin Zhang
The physical essences of the quantum critical points are determined by analyzing the susceptibility exponents for all of the source terms in particle-hole and particle-particle channels.
Strongly Correlated Electrons Materials Science
no code implementations • 27 Jan 2021 • Yuan Da Liao, Han Li, Zheng Yan, Hao-Tian Wei, Wei Li, Yang Qi, Zi Yang Meng
Quantum Ising model on a triangular lattice hosts a finite temperature Berezinskii-Kosterlitz-Thouless (BKT) phase with emergent U(1) symmetry, and it will transit into an up-up-down (UUD) phase with $C_3$ symmetry breaking upon an infinitesimal external field along the longitudinal direction, but the overall phase diagram spanned by the axes of external field and temperature remains opaque due to the lack of systematic invesitgations with controlled methodologies.
Strongly Correlated Electrons Statistical Mechanics
no code implementations • 16 Feb 2021 • Jianing Zhang, Wei Li, Honggang Gou, Lu Fang, Ruigang Yang
In this paper, we propose LEAD, i. e., LiDAR Extender for Autonomous Driving, to extend the MEMS LiDAR by coupled image w. r. t both FoV and range.
no code implementations • 17 Feb 2021 • Tao Liu, Xin-Yang Liu, Yuan Gao, Hai Jin, Jun He, Xian-Lei Sheng, Wentao Jin, Ziyu Chen, Wei Li
Strong fluctuations in the low-$T$ quantum critical regime can give rise to a large thermal entropy change and thus significant cooling effect when approaching the QCP.
Strongly Correlated Electrons
1 code implementation • EMNLP 2021 • Sharan Narang, Hyung Won Chung, Yi Tay, William Fedus, Thibault Fevry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, Yanqi Zhou, Wei Li, Nan Ding, Jake Marcus, Adam Roberts, Colin Raffel
The research community has proposed copious modifications to the Transformer architecture since it was introduced over three years ago, relatively few of which have seen widespread adoption.
no code implementations • 25 Feb 2021 • Christina Kaiser, Oskar J. Sandberg, Nasim Zarrabi, Wei Li, Paul Meredith, Ardalan Armin
A simple model is presented that explains absorption line-shapes of disordered systems, and we also provide a strategy to determine the excitonic disorder energy.
Optics Disordered Systems and Neural Networks
no code implementations • 26 Feb 2021 • Chenxi Zhou, Bin Yang, Wenliang Fan, Wei Li
(3) The detection of neural disease was demonstrated to be benefit from thermodynamic model, implying the immense potential of thermodynamics in auxiliary diagnosis.
no code implementations • 1 Mar 2021 • Xiuqing Li, Wei Li, Xinlin Yi, Qihang Huang, Yuhang Wang, Chenzhe Ye
With the path-specific parameters obtained by the proposed channel tracking, the proposed PTRM can not only match the time dispersion as conventional PTRM, but also the doubly-spread channel, since the path-specific delay and Doppler scaler factor can help to match the channel in both time and frequency domain.
no code implementations • 1 Mar 2021 • Qihang Huang, Wei Li, Weicheng Zhan, Yuhang Wang, Rongrong Guo
A model based on the underwater acoustic channel's correlation can be used as the state-space model in the Kalman filter to improve the underwater acoustic channel tracking compared that without a model.
no code implementations • 11 Mar 2021 • David Qiu, Qiujia Li, Yanzhang He, Yu Zhang, Bo Li, Liangliang Cao, Rohit Prabhavalkar, Deepti Bhatia, Wei Li, Ke Hu, Tara N. Sainath, Ian McGraw
We study the problem of word-level confidence estimation in subword-based end-to-end (E2E) models for automatic speech recognition (ASR).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
1 code implementation • CVPR 2021 • Shuang Li, Mixue Xie, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Wei Li
To remedy this, we propose a Transferable Semantic Augmentation (TSA) approach to enhance the classifier adaptation ability through implicitly generating source features towards target semantics.
1 code implementation • CVPR 2021 • Shuang Li, Jinming Zhang, Wenxuan Ma, Chi Harold Liu, Wei Li
Domain adaptation (DA) enables knowledge transfer from a labeled source domain to an unlabeled target domain by reducing the cross-domain distribution discrepancy.
1 code implementation • ICCV 2021 • Xiaoxiao Long, Cheng Lin, Lingjie Liu, Wei Li, Christian Theobalt, Ruigang Yang, Wenping Wang
We present a novel method for single image depth estimation using surface normal constraints.
no code implementations • 9 Apr 2021 • Léni K. Le Goff, Edgar Buchanan, Emma Hart, Agoston E. Eiben, Wei Li, Matteo De Carlo, Alan F. Winfield, Matthew F. Hale, Robert Woolley, Mike Angus, Jon Timmis, Andy M. Tyrrell
This causes a potential mismatch between the structure of an inherited controller and the new body.
no code implementations • 15 Apr 2021 • Lei Zhang, Wei Bai, Wei Li, Shiming Xia, Qibin Zheng
To achieve these results, we pose discovering attack paths as a Reinforcement Learning (RL) problem and train an agent to discover multi-domain cyberspace attack paths.
1 code implementation • 19 Apr 2021 • Yaqi Xia, Yan Xia, Wei Li, Rui Song, Kailang Cao, Uwe Stilla
We tackle the problem of object completion from point clouds and propose a novel point cloud completion network employing an Asymmetrical Siamese Feature Matching strategy, termed as ASFM-Net.
1 code implementation • 21 Apr 2021 • Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, HuaWei Shen, Yuanzhuo Wang, Xueqi Cheng
To capture these properties effectively and efficiently, we propose a novel Recurrent Evolution network based on Graph Convolution Network (GCN), called RE-GCN, which learns the evolutional representations of entities and relations at each timestamp by modeling the KG sequence recurrently.
1 code implementation • 26 Apr 2021 • Chenzhong Gao, Wei Li
This paper aims at providing multi-source remote sensing images registered in geometric space for image fusion.
no code implementations • 29 Apr 2021 • Dengcheng Yan, Youwen Zhang, Wei Li, Yiwen Zhang
Signed network embedding is an approach to learn low-dimensional representations of nodes in signed networks with both positive and negative links, which facilitates downstream tasks such as link prediction with general data mining frameworks.
no code implementations • ACL 2021 • Wenhao Wu, Wei Li, Xinyan Xiao, Jiachen Liu, Ziqiang Cao, Sujian Li, Hua Wu, Haifeng Wang
Abstractive summarization for long-document or multi-document remains challenging for the Seq2Seq architecture, as Seq2Seq is not good at analyzing long-distance relations in text.
1 code implementation • 31 May 2021 • Dejie Chang, Mosha Chen, Chaozhen Liu, LiPing Liu, Dongdong Li, Wei Li, Fei Kong, Bangchang Liu, Xiaobin Luo, Ji Qi, Qiao Jin, Bin Xu
In order to accelerate the research for domain-specific knowledge graphs in the medical domain, we introduce DiaKG, a high-quality Chinese dataset for Diabetes knowledge graph, which contains 22, 050 entities and 6, 890 relations in total.
no code implementations • ACL 2021 • Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng
Specifically, at the clue searching stage, CluSTeR learns a beam search policy via reinforcement learning (RL) to induce multiple clues from historical facts.
no code implementations • 7 Jun 2021 • Zhipeng Cai, Zuobin Xiong, Honghui Xu, Peng Wang, Wei Li, Yi Pan
Generative Adversarial Networks (GAN) have promoted a variety of applications in computer vision, natural language processing, etc.
no code implementations • NeurIPS 2021 • Zhaowen Li, Zhiyang Chen, Fan Yang, Wei Li, Yousong Zhu, Chaoyang Zhao, Rui Deng, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang
More importantly, the masked tokens together with the remaining tokens are further recovered by a global image decoder, which preserves the spatial information of the image and is more friendly to the downstream dense prediction tasks.
no code implementations • 26 Jun 2021 • Jingxuan Li, Rui Huang, Wei Li, Kai Yao, Weiguo Tan
We integrate this ranking scheme with two frequency models and a GPT-2 styled language model, along with the acceptance model to yield 27. 80% and 37. 64% increase in TOP1 and TOP5 accuracy, respectively.
no code implementations • 6 Jul 2021 • Wei Li, Yuanjun Xiong, Shuo Yang, Mingze Xu, Yongxin Wang, Wei Xia
We design a new instance-to-track matching objective to learn appearance embedding that compares a candidate detection to the embedding of the tracks persisted in the tracker.
no code implementations • 8 Jul 2021 • Wei Li, Dezhao Luo, Bo Fang, Yu Zhou, Weiping Wang
As a result, we can leverage the spatial information (the size of objects), temporal information (the direction and magnitude of motions) as our learning target.
no code implementations • 18 Jul 2021 • Xiaoheng Sun, Yiliang Jiang, Wei Li
Phonation mode is an essential characteristic of singing style as well as an important expression of performance.
no code implementations • 19 Jul 2021 • Wei Li, Florentina Paraschiv, Georgios Sermpinis
The rapid development of artificial intelligence methods contributes to their wide applications for forecasting various financial risks in recent years.
no code implementations • SEMEVAL 2021 • Wei Li, Harish Tayyar Madabushi, Mark Lee
This paper describes our submission to SemEval 2021 Task 2.
1 code implementation • 3 Aug 2021 • Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan
The frequency-guided upsampling module reconstructs details from multiple frequency-specific components with rich details.
1 code implementation • ICCV 2021 • Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li
To tackle this issue, we propose Semantic Concentration for Domain Adaptation (SCDA), which encourages the model to concentrate on the most principal features via the pair-wise adversarial alignment of prediction distributions.
no code implementations • 19 Aug 2021 • Mingren Shen, Guanzhao Li, Dongxia Wu, YuHan Liu, Jacob Greaves, Wei Hao, Nathaniel J. Krakauer, Leah Krudy, Jacob Perez, Varun Sreenivasan, Bryan Sanchez, Oigimer Torres, Wei Li, Kevin Field, Dane Morgan
Electron microscopy is widely used to explore defects in crystal structures, but human detecting of defects is often time-consuming, error-prone, and unreliable, and is not scalable to large numbers of images or real-time analysis.
no code implementations • 20 Aug 2021 • Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu sun
Besides the security concerns of potential adversarial examples, adversarial training can also improve the generalization ability of neural networks, train robust neural networks, and provide interpretability for neural networks.
1 code implementation • 23 Aug 2021 • Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, YunfangWu, Xu sun
Trading volume movement prediction is the key in a variety of financial applications.
1 code implementation • 30 Aug 2021 • Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu
This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in aerial images.
no code implementations • 3 Sep 2021 • Xiaoheng Sun, Qiqi He, Yongwei Gao, Wei Li
Recently, some single-step systems without onset detection have shown their effectiveness in automatic musical tempo estimation.
1 code implementation • 12 Sep 2021 • Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Wei Li, Yuexin Ma, Hongsheng Li, Ruigang Yang, Dahua Lin
In this paper, we benchmark our model on these three tasks.
no code implementations • 15 Sep 2021 • Rami Botros, Tara N. Sainath, Robert David, Emmanuel Guzman, Wei Li, Yanzhang He
Previous works on the Recurrent Neural Network-Transducer (RNN-T) models have shown that, under some conditions, it is possible to simplify its prediction network with little or no loss in recognition accuracy (arXiv:2003. 07705 [eess. AS], [2], arXiv:2012. 06749 [cs. CL]).
1 code implementation • 25 Sep 2021 • Yizheng Wang, Jia Sun, Wei Li, Zaiyuan Lu, Yinghua Liu
The advantage of the proposed method is higher efficiency, more accurate, and less hyperparameters than the strong form PINN with subdomains.
1 code implementation • 27 Sep 2021 • Zhanchao Huang, Wei Li, Xiang-Gen Xia, Ran Tao
Specifically, an anchor-free object-adaptation label assignment (OLA) strategy is presented to define the positive candidates based on two-dimensional (2-D) oriented Gaussian heatmaps, which reflect the shape and direction features of arbitrary-oriented objects.
Ranked #31 on Object Detection In Aerial Images on DOTA (using extra training data)
no code implementations • 29 Sep 2021 • Runnan Chen, Xinge Zhu, Nenglun Chen, Dawei Wang, Wei Li, Yuexin Ma, Ruigang Yang, Wenping Wang
In this paper, we study a new problem named Referring Self-supervised Learning (RSL) on 3D scene understanding: Given the 3D synthetic models with labels and the unlabeled 3D real scene scans, our goal is to distinguish the identical semantic objects on an unseen scene according to the referring synthetic 3D models.
no code implementations • 7 Oct 2021 • Gaojian Wang, Qian Jiang, Xin Jin, Wei Li, Xiaohui Cui
Moreover, we make a key observation that subtle forgery artifacts can be further exposed in the patch-wise phase and amplitude spectrum and exhibit different clues.
no code implementations • 16 Oct 2021 • Wei Li
The action space is restricted to the UI elements plus a few global actions.
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 • 25 Oct 2021 • Moye Chen, Wei Li, Jiachen Liu, Xinyan Xiao, Hua Wu, Haifeng Wang
Comparing with traditional methods, our method has two main advantages: (1) the relations between sentences are captured by modeling both the graph structure of the whole document set and the candidate sub-graphs; (2) directly outputs an integrate summary in the form of sub-graph which is more informative and coherent.
5 code implementations • 15 Nov 2021 • Jiawei Yu, Ye Zheng, Xiang Wang, Wei Li, Yushuang Wu, Rui Zhao, Liwei Wu
However, current methods can not effectively map image features to a tractable base distribution and ignore the relationship between local and global features which are important to identify anomalies.
Ranked #20 on Anomaly Detection on MVTec AD
Unsupervised Anomaly Detection Weakly Supervised Defect Detection
no code implementations • 25 Nov 2021 • Wenxuan Ma, Jinming Zhang, Shuang Li, Chi Harold Liu, Yulin Wang, Wei Li
Unsupervised Domain Adaptation (UDA) aims to transfer knowledge from a labeled source domain to an unlabeled target domain.
no code implementations • 5 Dec 2021 • Jiwei Zhang, Yi Yu, Suhua Tang, Jianming Wu, Wei Li
On the one hand, audio encoder and visual encoder separately encode audio data and visual data into two different latent spaces.
2 code implementations • ECCV 2020 • Junhua Zou, Zhisong Pan, Junyang Qiu, Xin Liu, Ting Rui, Wei Li
RDIM and region fitting do not require extra running time and these three steps can be well integrated into other attacks.
no code implementations • 31 Dec 2021 • Jianmin Shen, Feiyi Liu, Shiyang Chen, Dian Xu, Xiangna Chen, Shengfeng Deng, Wei Li, Gabor Papp, Chunbin Yang
With the DANN, only a small fraction of input configurations (2d images) needs to be labeled, which is automatically chosen, in order to capture the critical point.
no code implementations • 31 Dec 2021 • Dawei Wang, Lingping Gao, Ziquan Lan, Wei Li, Jiaping Ren, Jiahui Zhang, Peng Zhang, Pei Zhou, Shengao Wang, Jia Pan, Dinesh Manocha, Ruigang Yang
Recently, there have been many advances in autonomous driving society, attracting a lot of attention from academia and industry.
no code implementations • CVPR 2022 • Wei Li, Haiwei Zhang, Qijie Bai, Guoqing Zhao, Ning Jiang, Xiaojie Yuan
However, the application value of SG on downstream tasks is severely limited by the predicate classification bias, which is caused by long-tailed data and presented as semantic bias of predicted relation predicates.
1 code implementation • CVPR 2022 • Jiaxu Miao, Xiaohan Wang, Yu Wu, Wei Li, Xu Zhang, Yunchao Wei, Yi Yang
In contrast, our large-scale VIdeo Panoptic Segmentation in the Wild (VIPSeg) dataset provides 3, 536 videos and 84, 750 frames with pixel-level panoptic annotations, covering a wide range of real-world scenarios and categories.
no code implementations • 3 Jan 2022 • Wei Li, Ksenia Abrashitova, Gerwin Osnabrugge, Lyubov V. Amitonova
A multimode fiber represents the ultimate limit in miniaturization of imaging endoscopes.
no code implementations • 12 Jan 2022 • Yan Ma, Tianxing Liu, Bingsheng Wei, Yi Liu, Kang Xu, Wei Li
Evolutionary Algorithms (EAs) and Deep Reinforcement Learning (DRL) have recently been integrated to take the advantage of the both methods for better exploration and exploitation. The evolutionary part in these hybrid methods maintains a population of policy networks. However, existing methods focus on optimizing the parameters of policy network, which is usually high-dimensional and tricky for EA. In this paper, we shift the target of evolution from high-dimensional parameter space to low-dimensional action space. We propose Evolutionary Action Selection-Twin Delayed Deep Deterministic Policy Gradient (EAS-TD3), a novel hybrid method of EA and DRL. In EAS, we focus on optimizing the action chosen by the policy network and attempt to obtain high-quality actions to promote policy learning through an evolutionary algorithm.
no code implementations • 18 Jan 2022 • Ying Wang, Yuexing Peng, Xinran Liu, Wei Li, George C. Alexandropoulos, Junchuan Yu, Daqing Ge, Wei Xiang
Extracting roads from high-resolution remote sensing images (HRSIs) is vital in a wide variety of applications, such as autonomous driving, path planning, and road navigation.
no code implementations • 20 Jan 2022 • Zengfu Hou, Wei Li
Multi-temporal hyperspectral images can be used to detect changed information, which has gradually attracted researchers' attention.
1 code implementation • 2 Feb 2022 • Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov
In this paper, we propose TONet, a plug-and-play model that improves both tone and octave perceptions by leveraging a novel input representation and a novel network architecture.
1 code implementation • 13 Feb 2022 • Qiqi He, Xiaoheng Sun, Yi Yu, Wei Li
Chorus detection is a challenging problem in musical signal processing as the chorus often repeats more than once in popular songs, usually with rich instruments and complex rhythm forms.
no code implementations • 1 Mar 2022 • Kaiqi Fu, Shaojun Gao, Kai Wang, Wei Li, Xiaohai Tian, Zejun Ma
Moreover, we utilize multi-source information (e. g., MFCC and deep features) to further improve the scoring system performance.
1 code implementation • CVPR 2022 • Yuchao Wang, Haochen Wang, Yujun Shen, Jingjing Fei, Wei Li, Guoqiang Jin, Liwei Wu, Rui Zhao, Xinyi Le
A common practice is to select the highly confident predictions as the pseudo ground-truth, but it leads to a problem that most pixels may be left unused due to their unreliability.
1 code implementation • 8 Mar 2022 • Yan Xia, Qiangqiang Wu, Wei Li, Antoni B. Chan, Uwe Stilla
Recent works on 3D single object tracking treat the task as a target-specific 3D detection task, where an off-the-shelf 3D detector is commonly employed for the tracking.
no code implementations • 10 Mar 2022 • Wei Li, Wenhao Wu, Moye Chen, Jiachen Liu, Xinyan Xiao, Hua Wu
In this survey, we provide a systematic overview of the research progress on the faithfulness problem of NLG, including problem analysis, evaluation metrics and optimization methods.
no code implementations • 14 Mar 2022 • Siao Liu, Zhaoyu Chen, Wei Li, Jiwei Zhu, Jiafeng Wang, Wenqiang Zhang, Zhongxue Gan
Recently, adversarial attacks have been applied in visual object tracking to deceive deep trackers by injecting imperceptible perturbations into video frames.
no code implementations • CVPR 2022 • Zhaowen Li, Yousong Zhu, Fan Yang, Wei Li, Chaoyang Zhao, Yingying Chen, Zhiyang Chen, Jiahao Xie, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang
Furthermore, our method can also exploit single-centric-object dataset such as ImageNet and outperforms BYOL by 2. 5% with the same pre-training epochs in linear probing, and surpass current self-supervised object detection methods on COCO dataset, demonstrating its universality and potential.
1 code implementation • ACL 2022 • Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng
Furthermore, these models are all trained offline, which cannot well adapt to the changes of evolutional patterns from then on.
1 code implementation • Findings (ACL) 2022 • Wei Li, Can Gao, guocheng niu, Xinyan Xiao, Hao liu, Jiachen Liu, Hua Wu, Haifeng Wang
In particular, we propose to conduct grounded learning on both images and texts via a sharing grounded space, which helps bridge unaligned images and texts, and align the visual and textual semantic spaces on different types of corpora.
no code implementations • 20 Mar 2022 • Runnan Chen, Xinge Zhu, Nenglun Chen, Dawei Wang, Wei Li, Yuexin Ma, Ruigang Yang, Wenping Wang
Promising performance has been achieved for visual perception on the point cloud.
1 code implementation • 22 Mar 2022 • Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy
To this end, we propose a novel open-vocabulary detector based on DETR -- hence the name OV-DETR -- which, once trained, can detect any object given its class name or an exemplar image.
Ranked #21 on Open Vocabulary Object Detection on MSCOCO
2 code implementations • 29 Mar 2022 • Wei Li, Xing Wang, Xin Xia, Jie Wu, Jiashi Li, Xuefeng Xiao, Min Zheng, Shiping Wen
Vision Transformers have witnessed prevailing success in a series of vision tasks.