Search Results for author: Can Wang

Found 26 papers, 12 papers with code

Distilling Holistic Knowledge with Graph Neural Networks

1 code implementation ICCV 2021 Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu

The holistic knowledge is represented as a unified graph-based embedding by aggregating individual knowledge from relational neighborhood samples with graph neural networks, the student network is learned by distilling the holistic knowledge in a contrastive manner.

Knowledge Distillation

Deep Portrait Lighting Enhancement with 3D Guidance

no code implementations4 Aug 2021 Fangzhou Han, Can Wang, Hao Du, Jing Liao

To address this, we present a novel deep learning framework for portrait lighting enhancement based on 3D facial guidance.

Image-to-Image Translation Translation

Human Pose Regression with Residual Log-likelihood Estimation

2 code implementations ICCV 2021 Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu

In light of this, we propose a novel regression paradigm with Residual Log-likelihood Estimation (RLE) to capture the underlying output distribution.

Multi-Person Pose Estimation

Cross-Domain and Disentangled Face Manipulation with 3D Guidance

no code implementations22 Apr 2021 Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

Face image manipulation via three-dimensional guidance has been widely applied in various interactive scenarios due to its semantically-meaningful understanding and user-friendly controllability.

Domain Adaptation Image Manipulation

Cross-Layer Distillation with Semantic Calibration

1 code implementation6 Dec 2020 Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Yan Feng, Chun Chen

Knowledge distillation is a technique to enhance the generalization ability of a student model by exploiting outputs from a teacher model.

Knowledge Distillation Transfer Learning

SamWalker++: recommendation with informative sampling strategy

1 code implementation16 Nov 2020 Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen

However, the social network information may not be available in many recommender systems, which hinders application of SamWalker.

Recommendation Systems

CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation

no code implementations16 Nov 2020 Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He

To deal with these problems, we propose an efficient and effective collaborative sampling method CoSam, which consists of: (1) a collaborative sampler model that explicitly leverages user-item interaction information in sampling probability and exhibits good properties of normalization, adaption, interaction information awareness, and sampling efficiency; and (2) an integrated sampler-recommender framework, leveraging the sampler model in prediction to offset the bias caused by uneven sampling.

Recommendation Systems

TRec: Sequential Recommender Based On Latent Item Trend Information

no code implementations11 Sep 2020 Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu

Our study demonstrates the importance of item trend information in recommendation system designs, and our method also possesses great efficiency which enables it to be practical in real-world scenarios.

HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation

no code implementations ECCV 2020 Jiefeng Li, Can Wang, Wentao Liu, Chen Qian, Cewu Lu

The HMOR encodes interaction information as the ordinal relations of depths and angles hierarchically, which captures the body-part and joint level semantic and maintains global consistency at the same time.

3D Human Pose Estimation 3D Multi-Person Pose Estimation (absolute) +3

Whole-Body Human Pose Estimation in the Wild

2 code implementations ECCV 2020 Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo

This paper investigates the task of 2D human whole-body pose estimation, which aims to localize dense landmarks on the entire human body including face, hands, body, and feet.

Facial Landmark Detection Hand Pose Estimation +1

Spectrum-Guided Adversarial Disparity Learning

1 code implementation14 Jul 2020 Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang

It has been a significant challenge to portray intraclass disparity precisely in the area of activity recognition, as it requires a robust representation of the correlation between subject-specific variation for each activity class.

Activity Recognition Denoising

Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition

no code implementations12 Jul 2020 Guang Liang, Shangfei Wang, Can Wang

The first aims to learn pose- and expression-related feature representations in the source domain and adapt both feature distributions to that of the target domain by imposing adversarial learning.

Domain Adaptation Facial Expression Recognition

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

3 code implementations NeurIPS 2020 Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang

We further propose an Adaptive Graph Convolutional Recurrent Network (AGCRN) to capture fine-grained spatial and temporal correlations in traffic series automatically based on the two modules and recurrent networks.

Graph Generation Multivariate Time Series Forecasting +4

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback

no code implementations4 Mar 2020 Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen

A popular and effective approach for implicit recommendation is to treat unobserved data as negative but downweight their confidence.

Online Knowledge Distillation with Diverse Peers

2 code implementations1 Dec 2019 Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen

The second-level distillation is performed to transfer the knowledge in the ensemble of auxiliary peers further to the group leader, i. e., the model used for inference.

Knowledge Distillation Transfer Learning

Hierarchical Graph Pooling with Structure Learning

1 code implementation14 Nov 2019 Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang

HGP-SL incorporates graph pooling and structure learning into a unified module to generate hierarchical representations of graphs.

Graph Classification Representation Learning

An Interactive Insight Identification and Annotation Framework for Power Grid Pixel Maps using DenseU-Hierarchical VAE

no code implementations22 May 2019 Tianye Zhang, Haozhe Feng, Zexian Chen, Can Wang, Yanhao Huang, Yong Tang, Wei Chen

Insights in power grid pixel maps (PGPMs) refer to important facility operating states and unexpected changes in the power grid.

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding

3 code implementations31 Jan 2019 Sheng Zhou, Jiajun Bu, Xin Wang, Jia-Wei Chen, Can Wang

Second, given a meta path, nodes in HIN are connected by path instances while existing works fail to fully explore the differences between path instances that reflect nodes' preferences in the semantic space.

Network Embedding

CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark

3 code implementations CVPR 2019 Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, Cewu Lu

In this paper, we propose a novel and efficient method to tackle the problem of pose estimation in the crowd and a new dataset to better evaluate algorithms.

Keypoint Detection Multi-Person Pose Estimation

Multi-modality Sensor Data Classification with Selective Attention

no code implementations16 Apr 2018 Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang

Multimodal wearable sensor data classification plays an important role in ubiquitous computing and has a wide range of applications in scenarios from healthcare to entertainment.

Classification General Classification

Deep Style Match for Complementary Recommendation

no code implementations26 Aug 2017 Kui Zhao, Xia Hu, Jiajun Bu, Can Wang

In order to answer these kinds of questions, we attempt to model human sense of style compatibility in this paper.

Common Sense Reasoning Feature Engineering

Navigation Objects Extraction for Better Content Structure Understanding

no code implementations26 Aug 2017 Kui Zhao, Bangpeng Li, Zilun Peng, Jiajun Bu, Can Wang

Dynamic and personalized elements such as top stories, recommended list in a webpage are vital to the understanding of the dynamic nature of web 2. 0 sites.

Hierarchical structure

Sales Forecast in E-commerce using Convolutional Neural Network

no code implementations26 Aug 2017 Kui Zhao, Can Wang

To overcome the limitations of existing methods, we propose a novel approach in this paper to learn effective features automatically from the structured data using the Convolutional Neural Network (CNN).

Feature Engineering

Orientation Driven Bag of Appearances for Person Re-identification

2 code implementations9 May 2016 Liqian Ma, Hong Liu, Liang Hu, Can Wang, Qianru Sun

Experimental results on three public datasets and two proposed datasets demonstrate the superiority of the proposed approach, indicating the effectiveness of body structure and orientation information for improving re-identification performance.

Person Re-Identification

Binary Tree based Chinese Word Segmentation

no code implementations17 May 2013 Kaixu Zhang, Can Wang, Maosong Sun

A binary tree based framework is also designed to overcome the granularity mismatch problem.

Chinese Word Segmentation

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