b'Tencent'

research

∙ 12/02/2021

ProtGNN: Towards Self-Explaining Graph Neural Networks

Despite the recent progress in Graph Neural Networks (GNNs), it remains ...

Zaixi Zhang, et al. ∙

research

∙ 08/19/2020

Face Anti-Spoofing Via Disentangled Representation Learning

Face anti-spoofing is crucial to security of face recognition systems. P...

Ke-Yue Zhang, et al. ∙

research

∙ 04/19/2021

Contrastive Learning for Compact Single Image Dehazing

Single image dehazing is a challenging ill-posed problem due to the seve...

Haiyan Wu, et al. ∙

research

∙ 01/05/2020

Spatial-Scale Aligned Network for Fine-Grained Recognition

Existing approaches for fine-grained visual recognition focus on learnin...

Lizhao Gao, et al. ∙

research

∙ 06/10/2020

Why is Attention Not So Attentive?

Attention-based methods have played an important role in model interpret...

Bing Bai, et al. ∙

research

∙ 08/26/2019

Non-local Recurrent Neural Memory for Supervised Sequence Modeling

Typical methods for supervised sequence modeling are built upon the recu...

Canmiao Fu, et al. ∙

research

∙ 05/11/2022

Surface Representation for Point Clouds

Most prior work represents the shapes of point clouds by coordinates. Ho...

Haoxi Ran, et al. ∙

research

∙ 01/11/2022

Heuristic Search for Rank Aggregation with Application to Label Ranking

Rank aggregation aims to combine the preference rankings of a number of ...

Yangming Zhou, et al. ∙

research

∙ 03/30/2021

Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation

Learning by imitation is one of the most significant abilities of human ...

Hong-Yu Zhou, et al. ∙

research

∙ 11/24/2019

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

Image-to-image translation is to convert an image of the certain style t...

Yuanbin Fu, et al. ∙

research

∙ 09/17/2019

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

Recent advances of image-to-image translation focus on learning the one-...

Xiaoming Yu, et al. ∙

research

∙ 09/04/2021

Spatiotemporal Inconsistency Learning for DeepFake Video Detection

The rapid development of facial manipulation techniques has aroused publ...

Zhihao Gu, et al. ∙

research

∙ 06/28/2020

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...

Yujin Chen, et al. ∙

research

∙ 08/18/2021

SynFace: Face Recognition with Synthetic Data

With the recent success of deep neural networks, remarkable progress has...

Haibo Qiu, et al. ∙

research

∙ 08/29/2021

Multiplex Graph Neural Network for Extractive Text Summarization

Extractive text summarization aims at extracting the most representative...

Baoyu Jing, et al. ∙

research

∙ 06/09/2022

Spatial Entropy Regularization for Vision Transformers

Recent work has shown that the attention maps of Vision Transformers (VT...

Elia Peruzzo, et al. ∙

research

∙ 04/25/2019

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

We propose a local adversarial disentangling network (LADN) for facial m...

Qiao Gu, et al. ∙

research

∙ 10/27/2021

Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection

Anomaly detection or outlier detection is a common task in various domai...

Zeyu You, et al. ∙

research

∙ 04/22/2020

Policy Gradient from Demonstration and Curiosity

With reinforcement learning, an agent could learn complex behaviors from...

Jie Chen, et al. ∙

research

∙ 09/15/2021

Fast Extraction of Word Embedding from Q-contexts

The notion of word embedding plays a fundamental role in natural languag...

Junsheng Kong, et al. ∙

research

∙ 12/02/2021

Probabilistic Contrastive Loss for Self-Supervised Learning

This paper proposes a probabilistic contrastive loss function for self-s...

Shen Li, et al. ∙

research

∙ 03/27/2022

Towards Domain Generalization in Object Detection

Despite the striking performance achieved by modern detectors when train...

Xingxuan Zhang, et al. ∙

research

∙ 09/07/2019

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...

Deli Chen, et al. ∙

research

∙ 11/08/2021

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation

Medical report generation, which aims to automatically generate a long a...

Fenglin Liu, et al. ∙

research

∙ 12/23/2021

InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images

During the computed tomography (CT) imaging process, metallic implants w...

Hong Wang, et al. ∙

research

∙ 03/26/2022

Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension

Question answering (QA) is a fundamental means to facilitate assessment ...

Ying Xu, et al. ∙

research

∙ 06/07/2020

Single-Layer Graph Convolutional Networks For Recommendation

Graph Convolutional Networks (GCNs) and their variants have received sig...

Yue Xu, et al. ∙

research

∙ 07/20/2020

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

Primary angle closure glaucoma (PACG) is the leading cause of irreversib...

Munan Ning, et al. ∙

research

∙ 12/13/2021

N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks

We present a novel mesh-based learning approach (N-Cloth) for plausible ...

Yudi Li, et al. ∙

research

∙ 06/22/2019

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models

We introduce a new molecular dataset, named Alchemy, for developing mach...

Guangyong Chen, et al. ∙

research

∙ 01/15/2020

Filter Grafting for Deep Neural Networks

This paper proposes a new learning paradigm called filter grafting, whic...

Fanxu Meng, et al. ∙

research

∙ 02/26/2020

PuzzleNet: Scene Text Detection by Segment Context Graph Learning

Recently, a series of decomposition-based scene text detection methods h...

Hao Liu, et al. ∙

research

∙ 08/09/2021

Meta Gradient Adversarial Attack

In recent years, research on adversarial attacks has become a hot spot. ...

Zheng Yuan, et al. ∙

research

∙ 11/25/2021

Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks

One major goal of the AI security community is to securely and reliably ...

Xiangyu Qi, et al. ∙

research

∙ 03/12/2022

DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection

Automated salient object detection (SOD) plays an increasingly crucial r...

Heqin Zhu, et al. ∙

research

∙ 06/16/2020

AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks

Generative Adversarial Networks (GANs) are formulated as minimax game pr...

Yuesong Tian, et al. ∙

research

∙ 07/26/2020

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

Meta-learning has proven to be a powerful paradigm for transferring the ...

Huaxiu Yao, et al. ∙

research

∙ 12/05/2021

Dynamic Token Normalization Improves Vision Transformer

Vision Transformer (ViT) and its variants (e.g., Swin, PVT) have achieve...

Wenqi Shao, et al. ∙

research

∙ 12/10/2021

LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization

Weakly supervised object localization (WSOL) aims to learn object locali...

Zhiwei Chen, et al. ∙

research

∙ 02/08/2022

Uncertainty Modeling for Out-of-Distribution Generalization

Though remarkable progress has been achieved in various vision tasks, de...

Xiaotong Li, et al. ∙

research

∙ 05/19/2022

Masked Image Modeling with Denoising Contrast

Since the development of self-supervised visual representation learning ...

Kun Yi, et al. ∙

research

∙ 10/24/2018

DSFD: Dual Shot Face Detector

Recently, Convolutional Neural Network (CNN) has achieved great success ...

Jian Li, et al. ∙

research

∙ 07/30/2019

PointHop: An Explainable Machine Learning Method for Point Cloud Classification

An explainable machine learning method for point cloud classification, c...

Min Zhang, et al. ∙

research

∙ 11/26/2019

LaFIn: Generative Landmark Guided Face Inpainting

It is challenging to inpaint face images in the wild, due to the large v...

Yang Yang, et al. ∙

research

∙ 09/27/2021

ML4ML: Automated Invariance Testing for Machine Learning Models

In machine learning workflows, determining invariance qualities of a mod...

Zukang Liao, et al. ∙

research

∙ 10/26/2021

Meta-learning with an Adaptive Task Scheduler

To benefit the learning of a new task, meta-learning has been proposed t...

Huaxiu Yao, et al. ∙

research

∙ 01/12/2022

SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution

In the practical application of restoring low-resolution gray-scale imag...

Jiangning Zhang, et al. ∙

research

∙ 11/21/2018

Neural Machine Translation with Adequacy-Oriented Learning

Although Neural Machine Translation (NMT) models have advanced state-of-...

Xiang Kong, et al. ∙

research

∙ 05/03/2019

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

In this work, we propose a novel framework named Region-Aware Network (R...

Xuan Cao, et al. ∙

research

∙ 09/07/2019

Transferable Neural Processes for Hyperparameter Optimization

Automated machine learning aims to automate the whole process of machine...

Ying Wei, et al. ∙

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