Search Results for author: Jing Zhang

Found 125 papers, 57 papers with code

RGB-D Saliency Detection via Cascaded Mutual Information Minimization

1 code implementation15 Sep 2021 Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao

In this paper, we introduce a novel multi-stage cascaded learning framework via mutual information minimization to "explicitly" model the multi-modal information between RGB image and depth data.

Saliency Detection

AP-10K: A Benchmark for Animal Pose Estimation in the Wild

2 code implementations28 Aug 2021 Hang Yu, Yufei Xu, Jing Zhang, Wei Zhao, Ziyu Guan, DaCheng Tao

The experimental results provide sound empirical evidence on the superiority of learning from diverse animals species in terms of both accuracy and generalization ability.

Animal Pose Estimation Domain Generalization +1

Out-of-boundary View Synthesis Towards Full-Frame Video Stabilization

1 code implementation20 Aug 2021 Yufei Xu, Jing Zhang, DaCheng Tao

However, since the view outside the boundary is not available during warping, the resulting holes around the boundary of the stabilized frame must be discarded (i. e., cropping) to maintain visual consistency, and thus does leads to a tradeoff between stability and cropping ratio.

Video Stabilization

GCCAD: Graph Contrastive Coding for Anomaly Detection

no code implementations17 Aug 2021 Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang

To achieve the contrastive objective, we design a graph neural network encoder that can infer and further remove suspicious links during message passing, as well as learn the global context of the input graph.

Anomaly Detection Feature Engineering

Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images

1 code implementation13 Aug 2021 Lei Ding, Haitao Guo, Sicong Liu, Lichao Mou, Jing Zhang, Lorenzo Bruzzone

Recent studies indicate that the SCD can be modeled through a triple-branch Convolutional Neural Network (CNN), which contains two temporal branches and a change branch.

Learning Visual Affordance Grounding from Demonstration Videos

no code implementations12 Aug 2021 Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, DaCheng Tao

For the object branch, we introduce a semantic enhancement module (SEM) to make the network focus on different parts of the object according to the action classes and utilize a distillation loss to align the output features of the object branch with that of the video branch and transfer the knowledge in the video branch to the object branch.

Action Recognition

One-Shot Object Affordance Detection in the Wild

1 code implementation8 Aug 2021 Wei Zhai, Hongchen Luo, Jing Zhang, Yang Cao, DaCheng Tao

To empower robots with this ability in unseen scenarios, we first study the challenging one-shot affordance detection problem in this paper, i. e., given a support image that depicts the action purpose, all objects in a scene with the common affordance should be detected.

Action Recognition Affordance Detection +1

I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection

no code implementations3 Aug 2021 Jian Ye, Jing Zhang, Juhua Liu, Bo Du, DaCheng Tao

Existing methods for arbitrary-shaped text detection in natural scenes face two critical issues, i. e., 1) fracture detections at the gaps in a text instance; and 2) inaccurate detections of arbitrary-shaped text instances with diverse background context.

Scene Text Scene Text Detection

TA-MAMC at SemEval-2021 Task 4: Task-adaptive Pretraining and Multi-head Attention for Abstract Meaning Reading Comprehension

no code implementations SEMEVAL 2021 Jing Zhang, Yimeng Zhuang, Yinpei Su

This paper describes our system used in the SemEval-2021 Task4 Reading Comprehension of Abstract Meaning, achieving 1st for subtask 1 and 2nd for subtask 2 on the leaderboard.

Contrastive Learning Reading Comprehension

DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation

1 code implementation20 Jul 2021 Li Gao, Jing Zhang, Lefei Zhang, DaCheng Tao

In addition, feature-level alignment is carried out by aligning the feature maps of the source and target images from student network using a weighted maximum mean discrepancy loss.

Semantic Segmentation Synthetic-to-Real Translation +1

Deep Automatic Natural Image Matting

1 code implementation15 Jul 2021 Jizhizi Li, Jing Zhang, DaCheng Tao

To address the problem, a novel end-to-end matting network is proposed, which can predict a generalized trimap for any image of the above types as a unified semantic representation.

Image Matting

One-Shot Affordance Detection

1 code implementation28 Jun 2021 Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, DaCheng Tao

To empower robots with this ability in unseen scenarios, we consider the challenging one-shot affordance detection problem in this paper, i. e., given a support image that depicts the action purpose, all objects in a scene with the common affordance should be detected.

Affordance Detection

Few-Shot Domain Expansion for Face Anti-Spoofing

no code implementations27 Jun 2021 Bowen Yang, Jing Zhang, Zhenfei Yin, Jing Shao

In practice, given a handful of labeled samples from a new deployment scenario (target domain) and abundant labeled face images in the existing source domain, the FAS system is expected to perform well in the new scenario without sacrificing the performance on the original domain.

Face Anti-Spoofing Face Recognition +1

Energy-Based Generative Cooperative Saliency Prediction

1 code implementation25 Jun 2021 Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes

Specifically, we propose a generative cooperative saliency prediction framework based on the generative cooperative networks, where a conditional latent variable model and a conditional energy-based model are jointly trained to predict saliency in a cooperative manner.

Saliency Prediction

Depth-Guided Camouflaged Object Detection

1 code implementation24 Jun 2021 Jing Zhang, Yunqiu Lv, Mochu Xiang, Aixuan Li, Yuchao Dai, Yiran Zhong

Camouflaged object detection (COD) aims to segment camouflaged objects hiding in the environment, which is challenging due to the similar appearance of camouflaged objects and their surroundings.

Monocular Depth Estimation Object Detection +2

Confidence-Aware Learning for Camouflaged Object Detection

1 code implementation22 Jun 2021 Jiawei Liu, Jing Zhang, Nick Barnes

Then, we concatenate it with the input image and feed it to the confidence estimation network to produce an one channel confidence map. We generate dynamic supervision for the confidence estimation network, representing the agreement of camouflage prediction with the ground truth camouflage map.

Object Detection

Invertible Attention

1 code implementation16 Jun 2021 Jiajun Zha, Yiran Zhong, Jing Zhang, Richard Hartley, Liang Zheng

Attention has been proved to be an efficient mechanism to capture long-range dependencies.

Image Reconstruction

ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias

1 code implementation7 Jun 2021 Yufei Xu, Qiming Zhang, Jing Zhang, DaCheng Tao

Nevertheless, vision transformers treat an image as 1D sequence of visual tokens, lacking an intrinsic inductive bias (IB) in modeling local visual structures and dealing with scale variance.

Image Classification Object Detection +1

SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos

1 code implementation24 May 2021 Yi Zhang, Lu Zhang, Jing Zhang, Kang Wang, Wassim Hamidouche, Olivier Deforges

However, 360{\deg} video SHD has been seldom discussed in the computer vision community due to a lack of datasets with large-scale omnidirectional videos and rich annotations.

Human Detection Human-Object Interaction Detection +2

Salient Objects in Clutter

1 code implementation7 May 2021 Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao

This design bias has led to a saturation in performance for state-of-the-art SOD models when evaluated on existing datasets.

Image Augmentation Object Detection +2

End-to-end One-shot Human Parsing

1 code implementation4 May 2021 Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, DaCheng Tao

Previous human parsing models are limited to parsing humans into pre-defined classes, which is inflexible for applications that need to handle new classes.

Human Parsing Metric Learning +1

Privacy-Preserving Portrait Matting

1 code implementation29 Apr 2021 Jizhizi Li, Sihan Ma, Jing Zhang, DaCheng Tao

We systematically evaluate both trimap-free and trimap-based matting methods on P3M-10k and find that existing matting methods show different generalization capabilities when following the Privacy-Preserving Training (PPT) setting, i. e., training on face-blurred images and testing on arbitrary images.

Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction

no code implementations20 Apr 2021 Hong Wen, Jing Zhang, Fuyu Lv, Wentian Bao, Tianyi Wang, Zulong Chen

Motivated by this observation, we propose a novel \emph{CVR} prediction method by Hierarchically Modeling both Micro and Macro behaviors ($HM^3$).

Multi-Task Learning Selection bias

Transformer Transforms Salient Object Detection and Camouflaged Object Detection

no code implementations20 Apr 2021 Yuxin Mao, Jing Zhang, Zhexiong Wan, Yuchao Dai, Aixuan Li, Yunqiu Lv, Xinyu Tian, Deng-Ping Fan, Nick Barnes

Extensive experimental results on various SOD and COD tasks illustrate that transformer networks can transform SOD and COD, leading to new benchmarks for each related task.

Camouflaged Object Segmentation Machine Translation +3

Learning structure-aware semantic segmentation with image-level supervision

1 code implementation15 Apr 2021 Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes

Within this pipeline, the class activation map (CAM) is obtained and further processed to serve as a pseudo label to train the semantic segmentation model in a fully-supervised manner.

Boundary Detection Common Sense Reasoning +1

Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data

no code implementations7 Apr 2021 Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S Glicksberg

Electronic Health Record (EHR) data has been of tremendous utility in Artificial Intelligence (AI) for healthcare such as predicting future clinical events.

Contrastive Learning Data Augmentation

Uncertainty-aware Joint Salient Object and Camouflaged Object Detection

1 code implementation CVPR 2021 Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai

Visual salient object detection (SOD) aims at finding the salient object(s) that attract human attention, while camouflaged object detection (COD) on the contrary intends to discover the camouflaged object(s) that hidden in the surrounding.

Object Detection Salient Object Detection

Weakly Supervised Video Salient Object Detection

1 code implementation CVPR 2021 Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han

Significant performance improvement has been achieved for fully-supervised video salient object detection with the pixel-wise labeled training datasets, which are time-consuming and expensive to obtain.

Salient Object Detection Video Saliency Detection +1

VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation

no code implementations26 Mar 2021 Jiayi Tian, Jing Zhang, Wen Li, Dong Xu

On the other hand, we also design an effective distribution alignment method to reduce the distribution divergence between the virtual domain and the target domain by gradually improving the compactness of the target domain distribution through model learning.

Object Recognition Unsupervised Domain Adaptation

Forest Fire Clustering: Iterative Label Propagation Clustering and Monte Carlo Validation For Single-cell Sequencing Analysis

no code implementations22 Mar 2021 Zhanlin Chen, Jeremy Goldwasser, Philip Tuckman, Jing Zhang, Mark Gerstein

With the rise of single-cell sequencing technologies, there is a growing need for robust clustering algorithms to extract deeper insights from data.

Simultaneously Localize, Segment and Rank the Camouflaged Objects

1 code implementation CVPR 2021 Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan

With the above understanding about camouflaged objects, we present the first ranking based COD network (Rank-Net) to simultaneously localize, segment and rank camouflaged objects.

Object Detection

Understanding WeChat User Preferences and "Wow" Diffusion

1 code implementation4 Mar 2021 Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu

"Top Stories" is a novel friend-enhanced recommendation engine in WeChat, in which users can read articles based on preferences of both their own and their friends.

Graph Representation Learning Social and Information Networks

Koopmans' theorem as the mechanism of nearly gapless surface states in self-doped magnetic topological insulators

no code implementations24 Feb 2021 Weizhao Chen, Yufei Zhao, Qiushi Yao, Jing Zhang, Qihang Liu

The magnetization-induced gap at the surface state is widely believed as the kernel of magnetic topological insulators (MTIs) because of its relevance to various topological phenomena, such as the quantum anomalous Hall effect and the axion insulator phase.

Materials Science

Multi-Stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents

no code implementations16 Feb 2021 Xiumin Shang, Jinping Yang, Bingquan Zhu, Lin Ye, Jing Zhang, Jianping Xu, Qin Lyu, Ruisheng Diao

At stage one, centralized soft actor-critic (SAC) agent is trained to control generator active power outputs in a wide area to control transmission line flows against specified security limits.

Information-Theoretic Odometry Learning

no code implementations1 Jan 2021 Sen Zhang, Jing Zhang, DaCheng Tao

In this paper, we propose a unified information-theoretic framework for odometry learning, a crucial component of many robotics and vision tasks such as navigation and virtual reality where 6-DOF poses are required in real time.

Virtual Reality

TextTN: Probabilistic Encoding of Language on Tensor Network

no code implementations1 Jan 2021 Peng Zhang, Jing Zhang, Xindian Ma, Siwei Rao, Guangjian Tian, Jun Wang

As a novel model that bridges machine learning and quantum theory, tensor network (TN) has recently gained increasing attention and successful applications for processing natural images.

General Classification Sentiment Analysis +1

Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach

1 code implementation28 Dec 2020 Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin

On the one hand, the framework enables training multiple supervised ranking models upon the pseudo labels produced by multiple unsupervised ranking models.

Memory-Gated Recurrent Networks

1 code implementation24 Dec 2020 Yaquan Zhang, Qi Wu, Nanbo Peng, Min Dai, Jing Zhang, Hu Wang

The essence of multivariate sequential learning is all about how to extract dependencies in data.

Time Series

Residual Matrix Product State for Machine Learning

no code implementations22 Dec 2020 Ye-Ming Meng, Jing Zhang, Peng Zhang, Chao GAO, Shi-Ju Ran

Tensor network (TN), which originates from quantum physics, shows broad prospects in classical and quantum machine learning (ML).

Quantum Machine Learning Tensor Networks

Progressive One-shot Human Parsing

1 code implementation22 Dec 2020 Haoyu He, Jing Zhang, Bhavani Thuraisingham, DaCheng Tao

In this paper, we devise a novel Progressive One-shot Parsing network (POPNet) to address two critical challenges , i. e., testing bias and small sizes.

Human Parsing Metric Learning +1

6 GHz hyperfast rotation of an optically levitated nanoparticle in vacuum

no code implementations17 Dec 2020 Yuanbin Jin, Jiangwei Yan, Shah Jee Rahman, Jie Li, Xudong Yu, Jing Zhang

We measure a highest rotation frequency about 4. 3 GHz of the trapped nanoparticle without feedback cooling and a 6 GHz rotation with feedback cooling, which is the fastest mechanical rotation ever reported to date.

Optics Mesoscale and Nanoscale Physics Quantum Physics

COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking

1 code implementation14 Dec 2020 Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang

Expert finding, a popular service provided by many online websites such as Expertise Finder, LinkedIn, and AMiner, benefits seeking consultants, collaborators, and candidate qualifications.

Contrastive Learning Domain Adaptation +1

Uncertainty-Aware Deep Calibrated Salient Object Detection

no code implementations10 Dec 2020 Jing Zhang, Yuchao Dai, Xin Yu, Mehrtash Harandi, Nick Barnes, Richard Hartley

Existing deep neural network based salient object detection (SOD) methods mainly focus on pursuing high network accuracy.

Object Detection Salient Object Detection

Auto Learning Attention

1 code implementation NeurIPS 2020 Benteng Ma, Jing Zhang, Yong Xia, DaCheng Tao

Attention modules have been demonstrated effective in strengthening the representation ability of a neural network via reweighting spatial or channel features or stacking both operations sequentially.

Image Classification Keypoint Detection +1

3D Guided Weakly Supervised Semantic Segmentation

no code implementations1 Dec 2020 Weixuan Sun, Jing Zhang, Nick Barnes

In this paper, we propose a weakly supervised 2D semantic segmentation model by incorporating sparse bounding box labels with available 3D information, which is much easier to obtain with advanced sensors.

2D Semantic Segmentation Weakly-Supervised Semantic Segmentation

DUT: Learning Video Stabilization by Simply Watching Unstable Videos

2 code implementations30 Nov 2020 Yufei Xu, Jing Zhang, Stephen J. Maybank, DaCheng Tao

We propose a Deep Unsupervised Trajectory-based stabilization framework (DUT) in this paper.

Video Stabilization

Inter-layer Transition in Neural Architecture Search

1 code implementation30 Nov 2020 Benteng Ma, Jing Zhang, Yong Xia, DaCheng Tao

Differential Neural Architecture Search (NAS) methods represent the network architecture as a repetitive proxy directed acyclic graph (DAG) and optimize the network weights and architecture weights alternatively in a differential manner.

Neural Architecture Search

SIR: Self-supervised Image Rectification via Seeing the Same Scene from Multiple Different Lenses

no code implementations30 Nov 2020 Jinlong Fan, Jing Zhang, DaCheng Tao

However, the model may overfit the synthetic images and generalize not well on real-world fisheye images due to the limited universality of a specific distortion model and the lack of explicitly modeling the distortion and rectification process.

Rectification Self-Supervised Learning

Bridge Composite and Real: Towards End-to-end Deep Image Matting

1 code implementation30 Oct 2020 Jizhizi Li, Jing Zhang, Stephen J. Maybank, DaCheng Tao

Furthermore, we provide a benchmark containing 2, 000 high-resolution real-world animal images and 10, 000 portrait images along with their manually labeled alpha mattes to serve as a test bed for evaluating matting model's generalization ability on real-world images.

Image Matting Semantic Segmentation

Wide-angle Image Rectification: A Survey

1 code implementation30 Oct 2020 Jinlong Fan, Jing Zhang, Stephen J. Maybank, DaCheng Tao

In this paper, we comprehensively survey progress in wide-angle image rectification from transformation models to rectification methods.

3D Reconstruction Autonomous Driving +1

Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs

no code implementations12 Oct 2020 Jing Zhang, Bo Chen, Lingxi Zhang, Xirui Ke, Haipeng Ding

On the contrary, the recent advances of deep learning promote neural reasoning on knowledge graphs, which is robust to the ambiguous and noisy data, but lacks interpretability compared to symbolic reasoning.

Information Retrieval Knowledge Graph Completion +1

Uncertainty Inspired RGB-D Saliency Detection

4 code implementations7 Sep 2020 Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Saleh, Sadegh Aliakbarian, Nick Barnes

Our framework includes two main models: 1) a generator model, which maps the input image and latent variable to stochastic saliency prediction, and 2) an inference model, which gradually updates the latent variable by sampling it from the true or approximate posterior distribution.

RGB-D Salient Object Detection RGB Salient Object Detection +1

MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG

no code implementations17 Aug 2020 Jing Zhang, Deng Liang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen

MLBF-Net is composed of three components: 1) multiple lead-specific branches for learning the diversity of multi-lead ECG; 2) cross-lead features fusion by concatenating the output feature maps of all branches for learning the integrity of multi-lead ECG; 3) multi-loss co-optimization for all the individual branches and the concatenated network.

Arrhythmia Detection

Nighttime Dehazing with a Synthetic Benchmark

1 code implementation10 Aug 2020 Jing Zhang, Yang Cao, Zheng-Jun Zha, DaCheng Tao

To address this issue, we propose a novel synthetic method called 3R to simulate nighttime hazy images from daytime clear images, which first reconstructs the scene geometry, then simulates the light rays and object reflectance, and finally renders the haze effects.

Generative networks as inverse problems with fractional wavelet scattering networks

no code implementations28 Jul 2020 Jiasong Wu, Jing Zhang, Fuzhi Wu, Youyong Kong, Guanyu Yang, Lotfi Senhadji, Huazhong Shu

In order to solve or alleviate the synchronous training difficult problems of GANs and VAEs, recently, researchers propose Generative Scattering Networks (GSNs), which use wavelet scattering networks (ScatNets) as the encoder to obtain the features (or ScatNet embeddings) and convolutional neural networks (CNNs) as the decoder to generate the image.

Image Generation

Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection

no code implementations ECCV 2020 Jing Zhang, Jianwen Xie, Nick Barnes

The proposed model consists of two sub-models parameterized by neural networks: (1) a saliency predictor that maps input images to clean saliency maps, and (2) a noise generator, which is a latent variable model that produces noises from Gaussian latent vectors.

Saliency Detection

Structured Massive Access for Scalable Cell-Free Massive MIMO Systems

no code implementations18 Jun 2020 Shuaifei Chen, Jiayi Zhang, Emil Björnson, Jing Zhang, Bo Ai

However, there are still many unsolved practical issues in cell-free massive MIMO systems, whereof scalable massive access implementation is one of the most vital.

Fairness

Model-Driven DNN Decoder for Turbo Codes: Design, Simulation and Experimental Results

no code implementations16 Jun 2020 Yunfeng He, Jing Zhang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li

The TurboNet inherits the superiority of the max-log-MAP algorithm and DL tools and thus presents excellent error-correction capability with low training cost.

Self-supervised Learning: Generative or Contrastive

1 code implementation15 Jun 2020 Xiao Liu, Fanjin Zhang, Zhenyu Hou, Zhaoyu Wang, Li Mian, Jing Zhang, Jie Tang

As an alternative, self-supervised learning attracts many researchers for its soaring performance on representation learning in the last several years.

Graph Learning Representation Learning +1

Condensing Two-stage Detection with Automatic Object Key Part Discovery

1 code implementation10 Jun 2020 Zhe Chen, Jing Zhang, DaCheng Tao

Modern two-stage object detectors generally require excessively large models for their detection heads to achieve high accuracy.

Unsupervised Domain Expansion from Multiple Sources

no code implementations26 May 2020 Jing Zhang, Wanqing Li, Lu Sheng, Chang Tang, Philip Ogunbona

Given an existing system learned from previous source domains, it is desirable to adapt the system to new domains without accessing and forgetting all the previous domains in some applications.

Domain Adaptation Unsupervised Domain Expansion

Gleason Score Prediction using Deep Learning in Tissue Microarray Image

no code implementations11 May 2020 Yi-Hong Zhang, Jing Zhang, Yang song, Chaomin Shen, Guang Yang

Prostate cancer (PCa) is one of the most common cancers in men around the world.

LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction

1 code implementation21 Apr 2020 Yanhui Peng, Jing Zhang

Specifically, we regard knowledge graph embedding as a simple linear regression task, where a relation is modeled as a linear function of two low-dimensional vector-presented entities with two weight vectors and a bias vector.

Knowledge Graph Embedding Knowledge Graphs +1

Active Learning Approach to Optimization of Experimental Control

no code implementations26 Mar 2020 Yadong Wu, Zengming Meng, Kai Wen, Chengdong Mi, Jing Zhang, Hui Zhai

In this work we present a general machine learning based scheme to optimize experimental control.

Active Learning

Registration of multi-view point sets under the perspective of expectation-maximization

1 code implementation18 Feb 2020 Jihua Zhu, Jing Zhang, Huimin Lu, Zhongyu Li

Registration of multi-view point sets is a prerequisite for 3D model reconstruction.

Towards High Performance Human Keypoint Detection

1 code implementation3 Feb 2020 Jing Zhang, Zhe Chen, DaCheng Tao

Human keypoint detection from a single image is very challenging due to occlusion, blur, illumination and scale variance.

Human Detection Keypoint Detection

Ensemble emotion recognizing with multiple modal physiological signals

no code implementations1 Jan 2020 Jing Zhang, Yong Zhang, Suhua Zhan, Cheng Cheng

Multiple physiological signals fusing models, building the uniform classification model by means of consistent and complementary information from different emotions to improve recognition performance.

Classification EEG +3

Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge

1 code implementation NeurIPS 2019 Tingting Qiao, Jing Zhang, Duanqing Xu, DaCheng Tao

Given a text description, we immediately imagine an overall visual impression using this prior and, based on this, we draw a picture by progressively adding more and more details.

Text-to-Image Generation

Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

1 code implementation27 Nov 2019 Haoyu He, Jing Zhang, Qiming Zhang, DaCheng Tao

In this paper, we propose a novel GRAph PYramid Mutual Learning (Grapy-ML) method to address the cross-dataset human parsing problem, where the annotations are at different granularities.

Hierarchical structure Human Parsing +1

Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

1 code implementation NeurIPS 2019 Qiming Zhang, Jing Zhang, Wei Liu, DaCheng Tao

Although there has been a progress in matching the marginal distributions between two domains, the classifier favors the source domain features and makes incorrect predictions on the target domain due to category-agnostic feature alignment.

Semantic Segmentation Synthetic-to-Real Translation +1

Human Keypoint Detection by Progressive Context Refinement

1 code implementation27 Oct 2019 Jing Zhang, Zhe Chen, DaCheng Tao

Human keypoint detection from a single image is very challenging due to occlusion, blur, illumination and scale variance of person instances.

Human Detection Keypoint Detection +1

Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction

no code implementations15 Oct 2019 Hong Wen, Jing Zhang, Yu-An Wang, Fuyu Lv, Wentian Bao, Quan Lin, Keping Yang

Although existing methods, typically built on the user sequential behavior path ``impression$\to$click$\to$purchase'', is effective for dealing with SSB issue, they still struggle to address the DS issue due to rare purchase training samples.

Click-Through Rate Prediction Multi-Task Learning +2

Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification

no code implementations12 Jul 2019 Kaisheng Gao, Jing Zhang, Cangqi Zhou

The dimension of the label vector is the same as that of the node vector before the last convolution operation of GCN.

Classification General Classification +5

FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing Network

1 code implementation11 Jun 2019 Jing Zhang, DaCheng Tao

Single image dehazing is a critical image pre-processing step for subsequent high-level computer vision tasks.

Image Dehazing Single Image Dehazing

Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images

no code implementations27 May 2019 Ye Tian, Li Yang, Wei Wang, Jing Zhang, Qing Tang, Mili Ji, Yang Yu, Yu Li, Hong Yang, Airong Qian

Traditionally, the most indispensable diagnosis of cervix squamous carcinoma is histopathological assessment which is achieved under microscope by pathologist.

whole slide images

Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

no code implementations4 May 2019 Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

The DL-OAMP receiver includes a channel estimation neural network (CE-Net) and a signal detection neural network based on OAMP, called OAMP-Net.

Few-Shot Learning via Saliency-guided Hallucination of Samples

no code implementations CVPR 2019 Hongguang Zhang, Jing Zhang, Piotr Koniusz

To the best of our knowledge, we are the first to leverage saliency maps for such a task and we demonstrate their usefulness in hallucinating additional datapoints for few-shot learning.

Few-Shot Learning

Progressive LiDAR Adaptation for Road Detection

no code implementations2 Apr 2019 Zhe Chen, Jing Zhang, DaCheng Tao

To this end, LiDAR sensor data can be incorporated to improve the visual image-based road detection, because LiDAR data is less susceptible to visual noises.

Artificial Intelligence-aided Receiver for A CP-Free OFDM System: Design, Simulation, and Experimental Test

no code implementations12 Mar 2019 Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

The AI receiver includes a channel estimation neural network (CE-NET) and a signal detection neural network based on orthogonal approximate message passing (OAMP), called OAMP-NET.

Information Theory Information Theory

Attributes-aided Part Detection and Refinement for Person Re-identification

no code implementations27 Feb 2019 Shuzhao Li, Huimin Yu, Wei Huang, Jing Zhang

Person attributes are often exploited as mid-level human semantic information to help promote the performance of person re-identification task.

Person Re-Identification

Deep Time-Frequency Representation and Progressive Decision Fusion for ECG Classification

no code implementations19 Jan 2019 Jing Zhang, Jing Tian, Yang Cao, Yuxiang Yang, Xiaobin Xu

Early recognition of abnormal rhythms in ECG signals is crucial for monitoring and diagnosing patients' cardiac conditions, increasing the success rate of the treatment.

ECG Classification General Classification

Artificial Intelligence-aided OFDM Receiver: Design and Experimental Results

no code implementations17 Dec 2018 Peiwen Jiang, Tianqi Wang, Bin Han, Xuanxuan Gao, Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li

To address the performance gap between the simulation and the OTA test caused by the discrepancy between the channel model for offline training and real environments, we develop a novel online training strategy, called SwitchNet receiver.

Background Subtraction using Compressed Low-resolution Images

no code implementations24 Oct 2018 Min Chen, Andy Song, Shivanthan A. C. Yhanandan, Jing Zhang

The essential first step involved in almost all the visual tasks is background subtraction with a static camera.

Marrying Tracking with ELM: A Metric Constraint Guided Multiple Feature Fusion Method

no code implementations30 Sep 2018 Jing Zhang, Yong-Gong Ren

In this paper, we solve the problem from multi-view perspective by leveraging multi-view complementary and latent information, so as to be robust to the partial occlusion and background clutter especially when the objects are similar to the target, meanwhile addressing tracking drift.

Object Tracking

Robust Tracking via Weighted Online Extreme Learning Machine

no code implementations26 Jul 2018 Jing Zhang, Huibing Wang, Yong-Gong Ren

Therefore, our tracking method can fully learn both of the target object and background information to enhance the tracking performance, and it is evaluated in 20 challenge image sequences with different attributes including illumination, occlusion, deformation, etc., which achieves better performance than several state-of-the-art methods in terms of effectiveness and robustness.

Classification General Classification +2

Towards Practical Visual Search Engine within Elasticsearch

no code implementations23 Jun 2018 Cun Mu, Jun Zhao, Guang Yang, Jing Zhang, Zheng Yan

In this paper, we describe our end-to-end content-based image retrieval system built upon Elasticsearch, a well-known and popular textual search engine.

Content-Based Image Retrieval

Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System

no code implementations24 May 2018 Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang

The deep cascade structure and the combination rule enable the proposed \textit{ldcTree} to have a stronger distributed feature representation ability.

Click-Through Rate Prediction Ensemble Learning

Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective

no code implementations CVPR 2018 Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard Hartley

Such supervision, while labor-intensive and not always possible, tends to hinder the generalization ability of the learned models.

Saliency Prediction

Importance Weighted Adversarial Nets for Partial Domain Adaptation

1 code implementation CVPR 2018 Jing Zhang, Zewei Ding, Wanqing Li, Philip Ogunbona

This paper proposes an importance weighted adversarial nets-based method for unsupervised domain adaptation, specific for partial domain adaptation where the target domain has less number of classes compared to the source domain.

Partial Domain Adaptation Transfer Learning +1

Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images

no code implementations19 Jan 2018 Jing Zhang, Yang Cao, Yang Wang, Chenglin Wen, Chang Wen Chen

Specifically, we propose to randomly shuffle the pixels in the origin images and leverage the shuffled image as input to make CNN more concerned with the statistical properties.

Color Constancy Image Dehazing

Deep Edge-Aware Saliency Detection

no code implementations15 Aug 2017 Jing Zhang, Yuchao Dai, Fatih Porikli, Mingyi He

There has been profound progress in visual saliency thanks to the deep learning architectures, however, there still exist three major challenges that hinder the detection performance for scenes with complex compositions, multiple salient objects, and salient objects of diverse scales.

Saliency Detection

Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior

no code implementations CVPR 2017 Jing Zhang, Yang Cao, Shuai Fang, Yu Kang, Chang Wen Chen

Then, we propose a simple but effective image prior, maximum reflectance prior, to estimate the varying ambient illumination.

Integrated Deep and Shallow Networks for Salient Object Detection

no code implementations2 Jun 2017 Jing Zhang, Bo Li, Yuchao Dai, Fatih Porikli, Mingyi He

Then the results from deep FCNN and RBD are concatenated to feed into a shallow network to map the concatenated feature maps to saliency maps.

RGB Salient Object Detection Salient Object Detection +1

Unfolding Hidden Barriers by Active Enhanced Sampling

no code implementations21 May 2017 Jing Zhang, Ming Chen

We introduce an active learning scheme that consists of a parametric CV learner based on deep neural network and a CV-based enhanced sampler.

Active Learning

Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective

no code implementations11 May 2017 Jing Zhang, Wanqing Li, Philip Ogunbona, Dong Xu

This paper takes a problem-oriented perspective and presents a comprehensive review of transfer learning methods, both shallow and deep, for cross-dataset visual recognition.

Transfer Learning

Data-Driven Estimation of Travel Latency Cost Functions via Inverse Optimization in Multi-Class Transportation Networks

2 code implementations11 Mar 2017 Jing Zhang, Ioannis Ch. Paschalidis

We develop a method to estimate from data travel latency cost functions in multi-class transportation networks, which accommodate different types of vehicles with very different characteristics (e. g., cars and trucks).

Systems and Control Optimization and Control 90C33, 90C90, 90C30

Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models

2 code implementations27 Feb 2017 Jing Zhang, Ioannis Ch. Paschalidis

Under Markovian assumptions, we leverage a Central Limit Theorem (CLT) for the empirical measure in the test statistic of the composite hypothesis Hoeffding test so as to establish weak convergence results for the test statistic, and, thereby, derive a new estimator for the threshold needed by the test.

Anomaly Detection Two-sample testing

Data-driven Estimation of Origin-Destination Demand and User Cost Functions for the Optimization of Transportation Networks

2 code implementations29 Oct 2016 Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis

In earlier work (Zhang et al., 2016) we used actual traffic data from the Eastern Massachusetts transportation network in the form of spatial average speeds and road segment flow capacities in order to estimate Origin-Destination (OD) flow demand matrices for the network.

Systems and Control 90B06

Nighttime Haze Removal with Illumination Correction

no code implementations5 Jun 2016 Jing Zhang, Yang Cao, Zengfu Wang

ii) Then it achieves a color-balance result by performing a color correction step after estimating the color characteristics of the incident light.

RGB-D-based Action Recognition Datasets: A Survey

no code implementations21 Jan 2016 Jing Zhang, Wanqing Li, Philip O. Ogunbona, Pichao Wang, Chang Tang

Human action recognition from RGB-D (Red, Green, Blue and Depth) data has attracted increasing attention since the first work reported in 2010.

Action Recognition

Panther: Fast Top-k Similarity Search in Large Networks

2 code implementations10 Apr 2015 Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li

The algorithm is based on a novel idea of random path, and an extended method is also presented, to enhance the structural similarity when two vertices are completely disconnected.

Social and Information Networks

Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences

no code implementations20 Jan 2015 Pichao Wang, Wanqing Li, Zhimin Gao, Jing Zhang, Chang Tang, Philip Ogunbona

The results show that our approach can achieve state-of-the-art results on the individual datasets and without dramatical performance degradation on the Combined Dataset.

Action Recognition

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