Tencent

∙ Shenzhen , China ∙ 0 followers

Tencent Holdings Limited is a Chinese multinational investment holding conglomerate founded in 1998, whose subsidiaries specialise in various Internet-related services and products, entertainment, artificial intelligence and technology both in China an...

Featured Researchers

Wei Zhang
170 publications
Jun Wang
166 publications
Xi Chen
138 publications
Hao Wang
125 publications
Jian Zhang
102 publications
Tong Zhang
99 publications
Jun Zhang
96 publications
Ting Liu
96 publications
Jie Chen
91 publications
Yan Wang
89 publications
Lei Wang
83 publications

Face Anti-Spoofing Via Disentangled Representation Learning

Face anti-spoofing is crucial to security of face recognition systems. P...
08/19/2020 ∙ by Ke-Yue Zhang, et al. ∙ 54 ∙ share

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Spatial-Scale Aligned Network for Fine-Grained Recognition

Existing approaches for fine-grained visual recognition focus on learnin...
01/05/2020 ∙ by Lizhao Gao, et al. ∙ 43 ∙ share

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Why is Attention Not So Attentive?

Attention-based methods have played an important role in model interpret...
06/10/2020 ∙ by Bing Bai, et al. ∙ 30 ∙ share

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Non-local Recurrent Neural Memory for Supervised Sequence Modeling

Typical methods for supervised sequence modeling are built upon the recu...
08/26/2019 ∙ by Canmiao Fu, et al. ∙ 29 ∙ share

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EDIT: Exemplar-Domain Aware Image-to-Image Translation

Image-to-image translation is to convert an image of the certain style t...
11/24/2019 ∙ by Yuanbin Fu, et al. ∙ 24 ∙ share

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Multi-mapping Image-to-Image Translation via Learning Disentanglement

Recent advances of image-to-image translation focus on learning the one-...
09/17/2019 ∙ by Xiaoming Yu, et al. ∙ 23 ∙ share

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Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion

Accurate 3D reconstruction of the hand and object shape from a hand-obje...
06/28/2020 ∙ by Yujin Chen, et al. ∙ 22 ∙ share

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LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup

We propose a local adversarial disentangling network (LADN) for facial m...
04/25/2019 ∙ by Qiao Gu, et al. ∙ 20 ∙ share

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Policy Gradient from Demonstration and Curiosity

With reinforcement learning, an agent could learn complex behaviors from...
04/22/2020 ∙ by Jie Chen, et al. ∙ 19 ∙ share

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Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View

Graph Neural Networks (GNNs) have achieved promising performance on a wi...
09/07/2019 ∙ by Deli Chen, et al. ∙ 17 ∙ share

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Single-Layer Graph Convolutional Networks For Recommendation

Graph Convolutional Networks (GCNs) and their variants have received sig...
06/07/2020 ∙ by Yue Xu, et al. ∙ 16 ∙ share

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A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation

Primary angle closure glaucoma (PACG) is the leading cause of irreversib...
07/20/2020 ∙ by Munan Ning, et al. ∙ 16 ∙ share

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Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models

We introduce a new molecular dataset, named Alchemy, for developing mach...
06/22/2019 ∙ by Guangyong Chen, et al. ∙ 15 ∙ share

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Filter Grafting for Deep Neural Networks

This paper proposes a new learning paradigm called filter grafting, whic...
01/15/2020 ∙ by Fanxu Meng, et al. ∙ 14 ∙ share

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PuzzleNet: Scene Text Detection by Segment Context Graph Learning

Recently, a series of decomposition-based scene text detection methods h...
02/26/2020 ∙ by Hao Liu, et al. ∙ 14 ∙ share

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AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks

Generative Adversarial Networks (GANs) are formulated as minimax game pr...
06/16/2020 ∙ by Yuesong Tian, et al. ∙ 13 ∙ share

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Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning

Meta-learning has proven to be a powerful paradigm for transferring the ...
07/26/2020 ∙ by Huaxiu Yao, et al. ∙ 13 ∙ share

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DSFD: Dual Shot Face Detector

Recently, Convolutional Neural Network (CNN) has achieved great success ...
10/24/2018 ∙ by Jian Li, et al. ∙ 12 ∙ share

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PointHop: An Explainable Machine Learning Method for Point Cloud Classification

An explainable machine learning method for point cloud classification, c...
07/30/2019 ∙ by Min Zhang, et al. ∙ 12 ∙ share

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LaFIn: Generative Landmark Guided Face Inpainting

It is challenging to inpaint face images in the wild, due to the large v...
11/26/2019 ∙ by Yang Yang, et al. ∙ 12 ∙ share

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Neural Machine Translation with Adequacy-Oriented Learning

Although Neural Machine Translation (NMT) models have advanced state-of-...
11/21/2018 ∙ by Xiang Kong, et al. ∙ 10 ∙ share

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Anti-Confusing: Region-Aware Network for Human Pose Estimation

In this work, we propose a novel framework named Region-Aware Network (R...
05/03/2019 ∙ by Xuan Cao, et al. ∙ 10 ∙ share

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Transferable Neural Processes for Hyperparameter Optimization

Automated machine learning aims to automate the whole process of machine...
09/07/2019 ∙ by Ying Wei, et al. ∙ 10 ∙ share

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Attention-guided Context Feature Pyramid Network for Object Detection

For object detection, how to address the contradictory requirement betwe...
05/23/2020 ∙ by Junxu Cao, et al. ∙ 10 ∙ share

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Fast Learning of Temporal Action Proposal via Dense Boundary Generator

Generating temporal action proposals remains a very challenging problem,...
11/11/2019 ∙ by Chuming Lin, et al. ∙ 9 ∙ share

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A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection

Chinese keyword spotting is a challenging task as there is no visual bla...
01/03/2020 ∙ by Pei Xu, et al. ∙ 9 ∙ share

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

The outbreak of novel coronavirus disease 2019 (COVID-19) has already in...
04/30/2020 ∙ by Yifan Zhang, et al. ∙ 9 ∙ share

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Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning

Extracting effective deep features to represent content and style inform...
06/16/2020 ∙ by Jie An, et al. ∙ 9 ∙ share

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Collaborative Learning for Faster StyleGAN Embedding

The latent code of the recent popular model StyleGAN has learned disenta...
07/03/2020 ∙ by Shanyan Guan, et al. ∙ 9 ∙ share

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Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

Recurrent Neural Networks (RNNs) and their variants, such as Long-Short ...
11/19/2018 ∙ by Yu Pan, et al. ∙ 8 ∙ share

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DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking

Psychological studies have found that human visual tracking system invol...
08/02/2019 ∙ by Zhenmei Shi, et al. ∙ 8 ∙ share

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FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization

This paper studies face recognition (FR) and normalization in surveillan...
11/26/2019 ∙ by Xi Yin, et al. ∙ 8 ∙ share

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Adversarial Domain Adaptation with Domain Mixup

Recent works on domain adaptation reveal the effectiveness of adversaria...
12/04/2019 ∙ by Minghao Xu, et al. ∙ 8 ∙ share

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Controllable Descendant Face Synthesis

Kinship face synthesis is an interesting topic raised to answer question...
02/26/2020 ∙ by Yong Zhang, et al. ∙ 8 ∙ share

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Generalized Octave Convolutions for Learned Multi-Frequency Image Compression

Learned image compression has recently shown the potential to outperform...
02/24/2020 ∙ by Mohammad Akbari, et al. ∙ 8 ∙ share

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TEA: Temporal Excitation and Aggregation for Action Recognition

Temporal modeling is key for action recognition in videos. It normally c...
04/03/2020 ∙ by Yan Li, et al. ∙ 8 ∙ share

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CSRN: Collaborative Sequential Recommendation Networks for News Retrieval

Nowadays, news apps have taken over the popularity of paper-based media,...
04/07/2020 ∙ by Bing Bai, et al. ∙ 7 ∙ share

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Hierarchical Macro Strategy Model for MOBA Game AI

The next challenge of game AI lies in Real Time Strategy (RTS) games. RT...
12/19/2018 ∙ by Bin Wu, et al. ∙ 6 ∙ share

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Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching

We consider the problem of training speech recognition systems without u...
12/23/2018 ∙ by Chih-Kuan Yeh, et al. ∙ 6 ∙ share

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Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

Natural Language Sentence Matching (NLSM) has gained substantial attenti...
05/15/2019 ∙ by Guanhua Zhang, et al. ∙ 6 ∙ share

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Additive Adversarial Learning for Unbiased Authentication

Authentication is a task aiming to confirm the truth between data instan...
05/16/2019 ∙ by Jian Liang, et al. ∙ 6 ∙ share

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Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks

Single-channel signal separation and deconvolution aims to separate and ...
06/14/2019 ∙ by Qiuqiang Kong, et al. ∙ 6 ∙ share

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Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence

Breast lesion detection in ultrasound video is critical for computer-aid...
07/16/2019 ∙ by Sihong Chen, et al. ∙ 6 ∙ share

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Cross-Domain Adaptation for Animal Pose Estimation

In this paper, we are interested in pose estimation of animals. Animals ...
08/16/2019 ∙ by Jinkun Cao, et al. ∙ 6 ∙ share

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ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction

Molecular property prediction (e.g., energy) is an essential problem in ...
07/07/2020 ∙ by Zhongkai Hao, et al. ∙ 6 ∙ share

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Region Refinement Network for Salient Object Detection

Albeit intensively studied, false prediction and unclear boundaries are ...
06/27/2019 ∙ by Zhuotao Tian, et al. ∙ 5 ∙ share

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Fast Point R-CNN

We present a unified, efficient and effective framework for point-cloud ...
08/08/2019 ∙ by Yilun Chen, et al. ∙ 5 ∙ share

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StructureFlow: Image Inpainting via Structure-aware Appearance Flow

Image inpainting techniques have shown significant improvements by using...
08/11/2019 ∙ by Yurui Ren, et al. ∙ 5 ∙ share

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An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation

We focus on Unsupervised Domain Adaptation (UDA) for the task of semanti...
12/18/2019 ∙ by Jihan Yang, et al. ∙ 5 ∙ share

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CPOT: Channel Pruning via Optimal Transport

Recent advances in deep neural networks (DNNs) lead to tremendously grow...
05/21/2020 ∙ by Yucong Shen, et al. ∙ 5 ∙ share

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