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Face Anti-Spoofing Via Disentangled Representation Learning
Face anti-spoofing is crucial to security of face recognition systems. P...
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Spatial-Scale Aligned Network for Fine-Grained Recognition
Existing approaches for fine-grained visual recognition focus on learnin...
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Why is Attention Not So Attentive?
Attention-based methods have played an important role in model interpret...
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Non-local Recurrent Neural Memory for Supervised Sequence Modeling
Typical methods for supervised sequence modeling are built upon the recu...
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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...
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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-...
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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...
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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...
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Policy Gradient from Demonstration and Curiosity
With reinforcement learning, an agent could learn complex behaviors from...
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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...
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Single-Layer Graph Convolutional Networks For Recommendation
Graph Convolutional Networks (GCNs) and their variants have received sig...
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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...
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Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
We introduce a new molecular dataset, named Alchemy, for developing mach...
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Filter Grafting for Deep Neural Networks
This paper proposes a new learning paradigm called filter grafting, whic...
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PuzzleNet: Scene Text Detection by Segment Context Graph Learning
Recently, a series of decomposition-based scene text detection methods h...
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AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Generative Adversarial Networks (GANs) are formulated as minimax game pr...
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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 ...
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DSFD: Dual Shot Face Detector
Recently, Convolutional Neural Network (CNN) has achieved great success ...
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PointHop: An Explainable Machine Learning Method for Point Cloud Classification
An explainable machine learning method for point cloud classification, c...
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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...
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Neural Machine Translation with Adequacy-Oriented Learning
Although Neural Machine Translation (NMT) models have advanced state-of-...
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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...
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Transferable Neural Processes for Hyperparameter Optimization
Automated machine learning aims to automate the whole process of machine...
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Attention-guided Context Feature Pyramid Network for Object Detection
For object detection, how to address the contradictory requirement betwe...
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Non-Autoregressive Text Generation with Pre-trained Language Models
Non-autoregressive generation (NAG) has recently attracted great attenti...
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Fast Learning of Temporal Action Proposal via Dense Boundary Generator
Generating temporal action proposals remains a very challenging problem,...
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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...
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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...
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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...
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Collaborative Learning for Faster StyleGAN Embedding
The latent code of the recent popular model StyleGAN has learned disenta...
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Consistency and Coherency Enhanced Story Generation
Story generation is a challenging task, which demands to maintain consis...
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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 ...
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DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking
Psychological studies have found that human visual tracking system invol...
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FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization
This paper studies face recognition (FR) and normalization in surveillan...
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Adversarial Domain Adaptation with Domain Mixup
Recent works on domain adaptation reveal the effectiveness of adversaria...
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Controllable Descendant Face Synthesis
Kinship face synthesis is an interesting topic raised to answer question...
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Generalized Octave Convolutions for Learned Multi-Frequency Image Compression
Learned image compression has recently shown the potential to outperform...
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TEA: Temporal Excitation and Aggregation for Action Recognition
Temporal modeling is key for action recognition in videos. It normally c...
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SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
This paper observes that there is an issue of high frequencies missing i...
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CSRN: Collaborative Sequential Recommendation Networks for News Retrieval
Nowadays, news apps have taken over the popularity of paper-based media,...
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RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Retrosynthesis is the process of recursively decomposing target molecule...
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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...
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Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching
We consider the problem of training speech recognition systems without u...
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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...
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Additive Adversarial Learning for Unbiased Authentication
Authentication is a task aiming to confirm the truth between data instan...
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Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks
Single-channel signal separation and deconvolution aims to separate and ...
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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...
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Cross-Domain Adaptation for Animal Pose Estimation
In this paper, we are interested in pose estimation of animals. Animals ...
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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 ...
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Region Refinement Network for Salient Object Detection
Albeit intensively studied, false prediction and unclear boundaries are ...
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