Search Results for author: Yifan Zhang

Found 88 papers, 38 papers with code

Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition

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.

Action Recognition Skeleton Based Action Recognition

COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and Framing

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.

Contrastive Learning Is Spectral Clustering On Similarity Graph

no code implementations27 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.

Disentangling Writer and Character Styles for Handwriting Generation

1 code implementation26 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.

Towards Stable Test-Time Adaptation in Dynamic Wild World

1 code implementation24 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.

Bidirectional Propagation for Cross-Modal 3D Object Detection

1 code implementation22 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.

3D Object Detection object-detection

A Comprehensive Study and Comparison of the Robustness of 3D Object Detectors Against Adversarial Attacks

no code implementations20 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.

3D Object Detection object-detection

Expanding Small-Scale Datasets with Guided Imagination

1 code implementation25 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.

Zero-Shot Learning

Consistent and Truthful Interpretation with Fourier Analysis

no code implementations31 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?

Moment Estimation for Nonparametric Mixture Models Through Implicit Tensor Decomposition

1 code implementation25 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.

Tensor Decomposition

Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving

no code implementations17 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.

Autonomous Driving object-detection +2

Leveraging Artificial Intelligence on Binary Code Comprehension

no code implementations11 Oct 2022 Yifan Zhang

We propose to develop Artificial Intelligence (AI) models that aid human comprehension of binary code.

Compiler Optimization Malware Analysis

COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning

no code implementations11 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.

Computer Security Contrastive Learning +2

Recurrent LSTM-based UAV Trajectory Prediction with ADS-B Information

no code implementations1 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.

Time Series Analysis Trajectory Prediction

Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification

no code implementations25 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.

Domain Adaptation Multi-target Domain Adaptation

Quantized Adaptive Subgradient Algorithms and Their Applications

no code implementations11 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.


CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation

1 code implementation2 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.

Active Learning

Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation

1 code implementation22 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.

Unsupervised Domain Adaptation

Unsupervised Visual Representation Learning by Synchronous Momentum Grouping

1 code implementation13 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.

Contrastive Learning Representation Learning +1

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation

1 code implementation6 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.

3D Object Detection

PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient

1 code implementation5 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.

Knowledge Distillation object-detection +1

Efficient Test-Time Model Adaptation without Forgetting

1 code implementation6 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.

Boost Test-Time Performance with Closed-Loop Inference

no code implementations21 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.

Auxiliary Learning

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds

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.

object-detection Object Detection

QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media

no code implementations8 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.

A Generative Car-following Model Conditioned On Driving Styles

no code implementations10 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.

Adaptive Channel Encoding Transformer for Point Cloud Analysis

no code implementations5 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.

Point Cloud Classification

Adaptive Channel Encoding for Point Cloud Analysis

no code implementations5 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.

Lightweight Transformer Backbone for Medical Object Detection

no code implementations22 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.

Lesion Detection Medical Object Detection +1

Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems

no code implementations20 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.

Autonomous Driving object-detection +1

Deep Long-Tailed Learning: A Survey

1 code implementation9 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.

Generalizable Person Re-identification Without Demographics

no code implementations29 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.

Generalizable Person Re-identification

How Well Does Self-Supervised Pre-Training Perform with Streaming ImageNet?

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.

Self-Supervised Learning

A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar

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.

Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis

no code implementations20 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.

3D Point Cloud Classification Classification +2

Opinion Prediction with User Fingerprinting

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.

Sentiment Analysis Time Series Analysis

Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition

2 code implementations20 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.

Image Classification Long-tail Learning

AdaXpert: Adapting Neural Architecture for Growing Data

1 code implementation1 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.

Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation

1 code implementation18 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.

Contrastive Learning Source-Free Domain Adaptation +1

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data

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.

Classifier calibration Federated Learning

AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy

1 code implementation2 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.

Anatomy General Classification

How Well Does Self-Supervised Pre-Training Perform with Streaming Data?

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.

Representation Learning Self-Supervised Learning

AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition

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.

Action Recognition Skeleton Based Action Recognition

Efficient Spatialtemporal Context Modeling for Action Recognition

no code implementations20 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.

Action Recognition

Learning Defense Transformers for Counterattacking Adversarial Examples

no code implementations13 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.

Adversarial Defense

StablePose: Learning 6D Object Poses from Geometrically Stable Patches

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.

6D Pose Estimation using RGB Pose Prediction

Random matrix description of dynamically backscattered coherent waves propagating in a wide-field-illuminated random medium

no code implementations16 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

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning

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.

Contrastive Learning Image Classification +4

Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition

1 code implementation7 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.

Action Recognition Skeleton Based Action Recognition +1

Improving Chinese Segmentation-free Word Embedding With Unsupervised Association Measure

no code implementations5 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.


Relation-Aware Transformer for Portfolio Policy Learning

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.

Exemplar Loss for Siamese Network in Visual Tracking

no code implementations20 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.

Visual Tracking

TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model

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.

Multi-Object Tracking object-detection +1

Energy-Efficient Cyclical Trajectory Design for UAV-Aided Maritime Data Collection in Wind

no code implementations2 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.


COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19

1 code implementation30 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.

COVID-19 Diagnosis Domain Adaptation

What and Where: Modeling Skeletons from Semantic and Spatial Perspectives for Action Recognition

no code implementations7 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.

Action Recognition Gesture Recognition +2

Disturbance-immune Weight Sharing for Neural Architecture Search

no code implementations29 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.

Neural Architecture Search

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning

no code implementations6 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.

reinforcement-learning Reinforcement Learning (RL)

ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting

1 code implementation11 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.

Time Series Forecasting

Correcting for Selection Bias in Learning-to-rank Systems

no code implementations29 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.

Learning-To-Rank Recommendation Systems +1

Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks

2 code implementations15 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.

Action Recognition graph construction +2

Action Recognition via Pose-Based Graph Convolutional Networks with Intermediate Dense Supervision

no code implementations28 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.

Action Recognition Skeleton Based Action Recognition +1

Online Adaptive Asymmetric Active Learning with Limited Budgets

1 code implementation18 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.

Active Learning Anomaly Detection

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

1 code implementation17 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).

Unsupervised Domain Adaptation

Multi-marginal Wasserstein GAN

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.

Image Generation Translation

Non-Local Graph Convolutional Networks for Skeleton-Based Action Recognition

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.

Action Recognition Skeleton Based Action Recognition

Interpretable Complex-Valued Neural Networks for Privacy Protection

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.

Training Binary Weight Networks via Semi-Binary Decomposition

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.

Two-Step Quantization for Low-Bit Neural Networks

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.


Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition

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.

graph construction Skeleton Based Action Recognition

Adaptive Cost-sensitive Online Classification

no code implementations6 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.

Anomaly Detection Classification +2

Body Joint guided 3D Deep Convolutional Descriptors for Action Recognition

no code implementations24 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.

Action Recognition Temporal Action Localization

Leveraging Multiple Domains for Sentiment Classification

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.

Classification Domain Adaptation +4

The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition

no code implementations19 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.

Acoustic Modelling Language Modelling +1

Constrained Clustering and Its Application to Face Clustering in Videos

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.

Face Clustering

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