1 code implementation • ECCV 2020 • Ke Cheng, Yifan Zhang, Congqi Cao, Lei Shi, Jian Cheng, Hanqing Lu
Nevertheless, how to efficiently model the spatial-temporal skeleton graph without introducing extra computation burden is a challenging problem for industrial deployment.
1 code implementation • RANLP 2021 • Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang
With the emergence of the COVID-19 pandemic, the political and the medical aspects of disinformation merged as the problem got elevated to a whole new level to become the first global infodemic.
no code implementations • 27 Mar 2023 • Zhiquan Tan, Yifan Zhang, Jingqin Yang, Yang Yuan
Contrastive learning is a powerful self-supervised learning method, but we have a limited theoretical understanding of how it works and why it works.
1 code implementation • 26 Mar 2023 • Gang Dai, Yifan Zhang, Qingfeng Wang, Qing Du, Zhuliang Yu, Zhuoman Liu, Shuangping Huang
In light of this, we propose to disentangle the style representations at both writer and character levels from individual handwritings to synthesize realistic stylized online handwritten characters.
1 code implementation • 24 Feb 2023 • Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
In this paper, we investigate the unstable reasons and find that the batch norm layer is a crucial factor hindering TTA stability.
1 code implementation • The Eleventh International Conference on Learning Representations (ICLR 2023) 2023 • Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
A fundamental challenge for machine learning models is how to generalize learned models for out-of-distribution (OOD) data.
Ranked #2 on
Domain Adaptation
on Office-Home
1 code implementation • 22 Jan 2023 • Yifan Zhang, Qijian Zhang, Junhui Hou, Yixuan Yuan, Guoliang Xing
Recent works have revealed the superiority of feature-level fusion for cross-modal 3D object detection, where fine-grained feature propagation from 2D image pixels to 3D LiDAR points has been widely adopted for performance improvement.
no code implementations • 20 Dec 2022 • Yifan Zhang, Junhui Hou, Yixuan Yuan
Deep learning-based 3D object detectors have made significant progress in recent years and have been deployed in a wide range of applications.
1 code implementation • 25 Nov 2022 • Yifan Zhang, Daquan Zhou, Bryan Hooi, Kai Wang, Jiashi Feng
The two criteria are verified to be essential for effective dataset expansion: GIF-SD obtains 13. 5\% higher model accuracy on natural image datasets than unguided expansion with SD.
no code implementations • 31 Oct 2022 • Yifan Zhang, Haowei He, Yang Yuan
For many interdisciplinary fields, ML interpretations need to be consistent with what-if scenarios related to the current case, i. e., if one factor changes, how does the model react?
1 code implementation • 25 Oct 2022 • Yifan Zhang, Joe Kileel
We present an alternating least squares type numerical optimization scheme to estimate conditionally-independent mixture models in $\mathbb{R}^n$, with minimal additional distributional assumptions.
no code implementations • 17 Oct 2022 • Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li
Specifically, DucTeacher consists of two curriculums, i. e., (1) domain evolving curriculum seeks to learn from the data progressively to handle data distribution discrepancy by estimating the similarity between domains, and (2) distribution matching curriculum seeks to estimate the class distribution for each unlabeled domain to handle class distribution shifts.
no code implementations • 11 Oct 2022 • Yifan Zhang
We propose to develop Artificial Intelligence (AI) models that aid human comprehension of binary code.
no code implementations • 11 Oct 2022 • Yifan Zhang, Chen Huang, Yueke Zhang, Kevin Cao, Scott Thomas Andersen, Huajie Shao, Kevin Leach, Yu Huang
To the best of our knowledge, COMBO is the first language representation model that incorporates source code, binary code, and comments into contrastive code representation learning and unifies multiple tasks for binary code analysis.
no code implementations • 1 Sep 2022 • Yifan Zhang, Ziye Jia, Chao Dong, Yuntian Liu, Lei Zhang, Qihui Wu
It is noted that the recurrent neural network (RNN) is available for the UAV trajectory prediction, in which the long short-term memory (LSTM) is specialized in dealing with the time-series data.
no code implementations • 25 Aug 2022 • Zhen Qiu, Yifan Zhang, Fei Li, Xiulan Zhang, Yanwu Xu, Mingkui Tan
Based on these domain-invariant features at different scales, the deep model trained on the source domain is able to classify angle closure on multiple target domains even without any annotations in these domains.
no code implementations • 11 Aug 2022 • Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao
Therefore, a threshold quantization strategy with a relatively small error is adopted in QCMD adagrad and QRDA adagrad to improve the signal-to-noise ratio and preserve the sparsity of the model.
1 code implementation • 2 Aug 2022 • Weiwei Cui, Yaqi Wang, Yilong Li, Dan Song, Xingyong Zuo, Jiaojiao Wang, Yifan Zhang, Huiyu Zhou, Bung san Chong, Liaoyuan Zeng, Qianni Zhang
This work provides a new benchmark for the tooth volume segmentation task, and the experiment can serve as the baseline for future AI-based dental imaging research and clinical application development.
1 code implementation • 22 Jul 2022 • Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan
2) Prototype-based alignment and replay: based on the identified label prototypes, we align both domains and enforce the model to retain previous knowledge.
1 code implementation • 13 Jul 2022 • Bo Pang, Yifan Zhang, Yaoyi Li, Jia Cai, Cewu Lu
In this paper, we propose a genuine group-level contrastive visual representation learning method whose linear evaluation performance on ImageNet surpasses the vanilla supervised learning.
Ranked #19 on
Self-Supervised Image Classification
on ImageNet
1 code implementation • 6 Jul 2022 • Yifan Zhang, Qijian Zhang, Zhiyu Zhu, Junhui Hou, Yixuan Yuan
In this paper, we formulate the label uncertainty problem as the diversity of potentially plausible bounding boxes of objects, then propose GLENet, a generative framework adapted from conditional variational autoencoders, to model the one-to-many relationship between a typical 3D object and its potential ground-truth bounding boxes with latent variables.
Ranked #1 on
3D Object Detection
on KITTI Cars Easy
1 code implementation • 5 Jul 2022 • Weihan Cao, Yifan Zhang, Jianfei Gao, Anda Cheng, Ke Cheng, Jian Cheng
First, the difference in feature magnitude between the teacher and the student could enforce overly strict constraints on the student.
1 code implementation • 6 Apr 2022 • Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
Test-time adaptation (TTA) seeks to tackle potential distribution shifts between training and testing data by adapting a given model w. r. t.
1 code implementation • CVPR 2022 • Yifan Zhang, Bo Pang, Cewu Lu
Typical vision backbones manipulate structured features.
no code implementations • 21 Mar 2022 • Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, YaoWei Wang, Mingkui Tan
Motivated by this, we propose to predict those hard-classified test samples in a looped manner to boost the model performance.
1 code implementation • CVPR 2022 • Yifan Zhang, Qingyong Hu, Guoquan Xu, Yanxin Ma, Jianwei Wan, Yulan Guo
To reduce the memory and computational cost, existing point-based pipelines usually adopt task-agnostic random sampling or farthest point sampling to progressively downsample input point clouds, despite the fact that not all points are equally important to the task of object detection.
no code implementations • 8 Mar 2022 • Preslav Nakov, Firoj Alam, Yifan Zhang, Animesh Prakash, Fahim Dalvi
Fighting the ongoing COVID-19 infodemic has been declared as one of the most important focus areas by the World Health Organization since the onset of the COVID-19 pandemic.
no code implementations • 10 Dec 2021 • Yifan Zhang, Xinhong Chen, JianPing Wang, Zuduo Zheng, Kui Wu
Car-following (CF) modeling, an essential component in simulating human CF behaviors, has attracted increasing research interest in the past decades.
no code implementations • 5 Dec 2021 • Guoquan Xu, Hezhi Cao, Yifan Zhang, Yanxin Ma, Jianwei Wan, Ke Xu
Transformer plays an increasingly important role in various computer vision areas and remarkable achievements have also been made in point cloud analysis.
no code implementations • 5 Dec 2021 • Guoquan Xu, Hezhi Cao, Yifan Zhang, Jianwei Wan, Ke Xu, Yanxin Ma
Attention mechanism plays a more and more important role in point cloud analysis and channel attention is one of the hotspots.
no code implementations • 22 Nov 2021 • Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski
Specifically, we propose a novel modification of visual transformer (ViT) on image feature patches to connect the feature patches of a tumor with healthy backgrounds of breast images and form a more robust backbone for tumor detection.
no code implementations • 20 Oct 2021 • Jindi Zhang, Yifan Zhang, Kejie Lu, JianPing Wang, Kui Wu, Xiaohua Jia, Bin Liu
In our study, we use real data sets and the state-of-the-art machine learning model to evaluate our attack detection scheme and the results confirm the effectiveness of our detection method.
1 code implementation • 9 Oct 2021 • Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng
Deep long-tailed learning, one of the most challenging problems in visual recognition, aims to train well-performing deep models from a large number of images that follow a long-tailed class distribution.
no code implementations • 29 Sep 2021 • Yifan Zhang, Feng Li, Zhang Zhang, Liang Wang, DaCheng Tao, Tieniu Tan
However, the convex condition of KL DRO may not hold for overparameterized neural networks, such that applying KL DRO often fails to generalize under distribution shifts in real scenarios.
no code implementations • NeurIPS Workshop ImageNet_PPF 2021 • Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng
Prior works on self-supervised pre-training focus on the joint training scenario, where massive unlabeled data are assumed to be given as input all at once, and only then is a learner trained.
no code implementations • RANLP 2021 • Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang
While COVID-19 vaccines are finally becoming widely available, a second pandemic that revolves around the circulation of anti-vaxxer fake news may hinder efforts to recover from the first one.
no code implementations • 20 Aug 2021 • Guoquan Xu, Hezhi Cao, Yifan Zhang, Jianwei Wan, Ke Xu, Yanxin Ma
To handle this prob-lem, a feature representation learning method, named Dual-Neighborhood Deep Fusion Network (DNDFN), is proposed to serve as an improved point cloud encoder for the task of non-idealized point cloud classification.
1 code implementation • RANLP 2021 • Kishore Tumarada, Yifan Zhang, Fan Yang, Eduard Dragut, Omprakash Gnawali, Arjun Mukherjee
Experimental results show novel insights that were previously unknown such as better predictions for an increase in dynamic history length, the impact of the nature of the article on performance, thereby laying the foundation for further research.
2 code implementations • 20 Jul 2021 • Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng
Existing long-tailed recognition methods, aiming to train class-balanced models from long-tailed data, generally assume the models would be evaluated on the uniform test class distribution.
Ranked #5 on
Long-tail Learning
on iNaturalist 2018
1 code implementation • 1 Jul 2021 • Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan
To address this, we present a neural architecture adaptation method, namely Adaptation eXpert (AdaXpert), to efficiently adjust previous architectures on the growing data.
1 code implementation • 18 Jun 2021 • Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan
(2) prototype adaptation: based on the generated source prototypes and target pseudo labels, we develop a new robust contrastive prototype adaptation strategy to align each pseudo-labeled target data to the corresponding source prototypes.
Ranked #9 on
Domain Adaptation
on VisDA2017
no code implementations • NeurIPS 2021 • Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng
Motivated by the above findings, we propose a novel and simple algorithm called Classifier Calibration with Virtual Representations (CCVR), which adjusts the classifier using virtual representations sampled from an approximated gaussian mixture model.
1 code implementation • 2 May 2021 • Yunxiang Li, Guodong Zeng, Yifan Zhang, Jun Wang, Qianni Zhang, Qun Jin, Lingling Sun, Qisi Lian, Neng Xia, Ruizi Peng, Kai Tang, Yaqi Wang, Shuai Wang
Accurate evaluation of the treatment result on X-ray images is a significant and challenging step in root canal therapy since the incorrect interpretation of the therapy results will hamper timely follow-up which is crucial to the patients' treatment outcome.
no code implementations • ICLR 2022 • Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng
Prior works on self-supervised pre-training focus on the joint training scenario, where massive unlabeled data are assumed to be given as input all at once, and only then is a learner trained.
no code implementations • ICCV 2021 • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu
Existing methods for skeleton-based action recognition mainly focus on improving the recognition accuracy, whereas the efficiency of the model is rarely considered.
no code implementations • 20 Mar 2021 • Congqi Cao, Yue Lu, Yifan Zhang, Dongmei Jiang, Yanning Zhang
Inspired from 2D criss-cross attention used in segmentation task, we propose a recurrent 3D criss-cross attention (RCCA-3D) module to model the dense long-range spatiotemporal contextual information in video for action recognition.
no code implementations • 13 Mar 2021 • Jincheng Li, JieZhang Cao, Yifan Zhang, Jian Chen, Mingkui Tan
Relying on this, we learn a defense transformer to counterattack the adversarial examples by parameterizing the affine transformations and exploiting the boundary information of DNNs.
no code implementations • 12 Mar 2021 • Yifan Zhang, Dainis Boumber, Marjan Hosseinia, Fan Yang, Arjun Mukherjee
It is also one of the first to use Deep Language Models in this setting.
no code implementations • 7 Mar 2021 • Yunxiang Li, Yifan Zhang, Yaqi Wang, Shuai Wang, Ruizi Peng, Kai Tang, Qianni Zhang, Jun Wang, Qun Jin, Lingling Sun
As the most economical and routine auxiliary examination in the diagnosis of root canal treatment, oral X-ray has been widely used by stomatologists.
no code implementations • CVPR 2021 • Yifei Shi, Junwen Huang, Xin Xu, Yifan Zhang, Kai Xu
According to the theory of geometric stability analysis, a minimal set of three planar/cylindrical patches are geometrically stable and determine the full 6DoFs of the object pose.
no code implementations • 16 Feb 2021 • Peng Miao, Yifan Zhang, Cheng Wang, Shanbao Tong
We find that the dynamic speckle patterns can be utilized to decouple the singly and multiply backscattered components.
Optics Applied Physics
1 code implementation • NeurIPS 2021 • Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng
In this paper, we investigate whether applying contrastive learning to fine-tuning would bring further benefits, and analytically find that optimizing the contrastive loss benefits both discriminative representation learning and model optimization during fine-tuning.
no code implementations • 15 Dec 2020 • Yifan Zhang, Fan Yang, Marjan Hosseinia, Arjun Mukherjee
In this paper, we introduce a new framework called the sentiment-aspect attribution module (SAAM).
no code implementations • 8 Nov 2020 • Taha Ameen ur Rahman, Alton S. Barbehenn, Xinan Chen, Hassan Dbouk, James A. Douglas, Yuncong Geng, Ian George, John B. Harvill, Sung Woo Jeon, Kartik K. Kansal, Kiwook Lee, Kelly A. Levick, Bochao Li, Ziyue Li, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, S. Yagiz Olmez, Matthew J. Tomei, Tanya Veeravalli, Xuechao Wang, Eric A. Wayman, Fan Wu, Peng Xu, Shen Yan, Heling Zhang, Yibo Zhang, Yifan Zhang, Yibo Zhao, Sourya Basu, Lav R. Varshney
Many information sources are not just sequences of distinguishable symbols but rather have invariances governed by alternative counting paradigms such as permutations, combinations, and partitions.
Information Theory Information Theory
1 code implementation • 7 Jul 2020 • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu
Besides, from the data aspect, we introduce a skeletal data decoupling technique to emphasize the specific characteristics of space/time and different motion scales, resulting in a more comprehensive understanding of the human actions. To test the effectiveness of the proposed method, extensive experiments are conducted on four challenging datasets for skeleton-based gesture and action recognition, namely, SHREC, DHG, NTU-60 and NTU-120, where DSTA-Net achieves state-of-the-art performance on all of them.
Ranked #18 on
Skeleton Based Action Recognition
on NTU RGB+D
1 code implementation • 5 Jul 2020 • Yifan Zhang, Ying WEI, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan
Deep learning based medical image diagnosis has shown great potential in clinical medicine.
no code implementations • 5 Jul 2020 • Yifan Zhang, Maohua Wang, Yongjian Huang, Qianrong Gu
Recent work on segmentation-free word embedding(sembei) developed a new pipeline of word embedding for unsegmentated language while avoiding segmentation as a preprocessing step.
no code implementations • 4 Jul 2020 • Yigeng Zhang, Fan Yang, Yifan Zhang, Eduard Dragut, Arjun Mukherjee
In this work, we propose a method that differentiates the satirical news and true news.
2 code implementations • IJCAI 2020 • Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan
One of the key issues is how to represent the non-stationary price series of assets in a portfolio, which is important for portfolio decisions.
no code implementations • 20 Jun 2020 • Shuo Chang, Yifan Zhang, Sai Huang, Yuanyuan Yao, Zhiyong Feng
In general, Siamese tracking algorithms, supervised by logistic loss and triplet loss, increase the value of inner product between exemplar template and positive sample while reduce the value of inner product with background sample.
1 code implementation • CVPR 2020 • Bo Pang, Yizhuo Li, Yifan Zhang, Muchen Li, Cewu Lu
As deep learning brings excellent performances to object detection algorithms, Tracking by Detection (TBD) has become the mainstream tracking framework.
no code implementations • 2 Jun 2020 • Yifan Zhang, Jiangbin Lyu, Liqun Fu
We aim to minimize the UAV's energy consumption in completing the task by jointly optimizing the communication time scheduling among the buoys and the UAV's flight trajectory subject to wind effect, which is a non-convex problem and difficult to solve optimally.
no code implementations • ACL 2020 • Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov
However, little attention has been paid to the specific rhetorical and psychological techniques used to convey propaganda messages.
1 code implementation • 30 Apr 2020 • Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying WEI, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan
There are two main challenges: 1) the discrepancy of data distributions between domains; 2) the task difference between the diagnosis of typical pneumonia and COVID-19.
no code implementations • 7 Apr 2020 • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu
The two perspectives are orthogonal and complementary to each other; and by fusing them in a unified framework, our method achieves a more comprehensive understanding of the skeleton data.
no code implementations • 29 Mar 2020 • Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
To alleviate the performance disturbance issue, we propose a new disturbance-immune update strategy for model updating.
no code implementations • 6 Mar 2020 • Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
This task, however, has two main difficulties: (i) the non-stationary price series and complex asset correlations make the learning of feature representation very hard; (ii) the practicality principle in financial markets requires controlling both transaction and risk costs.
1 code implementation • 11 Feb 2020 • Joel Janek Dabrowski, Yifan Zhang, Ashfaqur Rahman
Recurrent and convolutional neural networks are the most common architectures used for time series forecasting in deep learning literature.
no code implementations • 29 Jan 2020 • Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang, Kathryn Vasilaky, Elena Zheleva
Click data collected by modern recommendation systems are an important source of observational data that can be utilized to train learning-to-rank (LTR) systems.
2 code implementations • 15 Dec 2019 • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu
Second, the second-order information of the skeleton data, i. e., the length and orientation of the bones, is rarely investigated, which is naturally more informative and discriminative for the human action recognition.
no code implementations • 28 Nov 2019 • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu
Existing methods exploit the joint positions to extract the body-part features from the activation map of the convolutional networks to assist human action recognition.
1 code implementation • 18 Nov 2019 • Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, JieZhang Cao, Junzhou Huang, Mingkui Tan
In these problems, there are two key challenges: the query budget is often limited; the ratio between classes is highly imbalanced.
1 code implementation • 17 Nov 2019 • Yifan Zhang, Ying WEI, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang
In this paper, we seek to exploit rich labeled data from relevant domains to help the learning in the target task with unsupervised domain adaptation (UDA).
3 code implementations • NeurIPS 2019 • Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan
Multiple marginal matching problem aims at learning mappings to match a source domain to multiple target domains and it has attracted great attention in many applications, such as multi-domain image translation.
no code implementations • IJCNLP 2019 • Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James Glass, Preslav Nakov
We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story.
1 code implementation • arXiv 2019 • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu
However, the topology of the graph is set by hand and fixed over all layers, which may be not optimal for the action recognition task and the hierarchical CNN structures.
Ranked #44 on
Skeleton Based Action Recognition
on NTU RGB+D
1 code implementation • ICLR 2020 • Liyao Xiang, Haotian Ma, Hao Zhang, Yifan Zhang, Jie Ren, Quanshi Zhang
Previous studies have found that an adversary attacker can often infer unintended input information from intermediate-layer features.
no code implementations • ECCV 2018 • Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng
In this paper, we propose a novel semi-binary decomposition method which decomposes a matrix into two binary matrices and a diagonal matrix.
1 code implementation • CVPR 2018 • Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng
In this paper, we propose a simple yet effective Two-Step Quantization (TSQ) framework, by decomposing the network quantization problem into two steps: code learning and transformation function learning based on the learned codes.
4 code implementations • CVPR 2019 • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu
In addition, the second-order information (the lengths and directions of bones) of the skeleton data, which is naturally more informative and discriminative for action recognition, is rarely investigated in existing methods.
Ranked #2 on
3D Action Recognition
on Assembly101
no code implementations • 6 Apr 2018 • Peilin Zhao, Yifan Zhang, Min Wu, Steven C. H. Hoi, Mingkui Tan, Junzhou Huang
Cost-Sensitive Online Classification has drawn extensive attention in recent years, where the main approach is to directly online optimize two well-known cost-sensitive metrics: (i) weighted sum of sensitivity and specificity; (ii) weighted misclassification cost.
no code implementations • ICCV 2017 • Congqi Cao, Yifan Zhang, Yi Wu, Hanqing Lu, Jian Cheng
Gesture is a natural interface in interacting with wearable devices such as VR/AR helmet and glasses.
no code implementations • 24 Apr 2017 • Congqi Cao, Yifan Zhang, Chunjie Zhang, Hanqing Lu
To make it end-to-end and do not rely on any sophisticated body joint detection algorithm, we further propose a two-stream bilinear model which can learn the guidance from the body joints and capture the spatio-temporal features simultaneously.
no code implementations • EACL 2017 • Fahim Dalvi, Yifan Zhang, Sameer Khurana, Nadir Durrani, Hassan Sajjad, Ahmed Abdelali, Hamdy Mubarak, Ahmed Ali, Stephan Vogel
This paper presents QCRI{'}s Arabic-to-English live speech translation system.
no code implementations • COLING 2016 • Fan Yang, Arjun Mukherjee, Yifan Zhang
In addition, the learned feature representation can be used as classifier since our model defines the meaning of feature value and arranges high-level features in a prefixed order, so it is not necessary to train another classifier on top of the new features.
no code implementations • 19 Sep 2016 • Ahmed Ali, Peter Bell, James Glass, Yacine Messaoui, Hamdy Mubarak, Steve Renals, Yifan Zhang
For language modelling, we made available over 110M words crawled from Aljazeera Arabic website Aljazeera. net for a 10 year duration 2000-2011.
no code implementations • CVPR 2013 • Baoyuan Wu, Yifan Zhang, Bao-Gang Hu, Qiang Ji
As a result, many pairwise constraints between faces can be easily obtained from the temporal and spatial knowledge of the face tracks.