
-
FaceX-Zoo: A PyTorch Toolbox for Face Recognition
Deep learning based face recognition has achieved significant progress i...
read it
-
Graph Sequential Network for Reasoning over Sequences
Recently Graph Neural Network (GNN) has been applied successfully to var...
read it
-
Imitation Learning for Fashion Style Based on Hierarchical Multimodal Representation
Fashion is a complex social phenomenon. People follow fashion styles fro...
read it
-
FastReID: A Pytorch Toolbox for Real-world Person Re-identification
We present FastReID, as a widely used object re-identification (re-id) s...
read it
-
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development
Recently, practical applications for passenger flow prediction have brou...
read it
-
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
Heatmap regression has became one of the mainstream approaches to locali...
read it
-
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning
Machine learning has been widely applied to various applications, some o...
read it
-
Mocycle-GAN: Unpaired Video-to-Video Translation
Unsupervised image-to-image translation is the task of translating an im...
read it
-
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
Recent studies have highlighted that deep neural networks (DNNs) are vul...
read it
-
Vision Meets Drones: Past, Present and Future
Drones, or general UAVs, equipped with cameras have been fast deployed w...
read it
-
Pose Guided Fashion Image Synthesis Using Deep Generative Model
Generating a photorealistic image with intended human pose is a promisin...
read it
-
Fast and Incremental Loop Closure Detection Using Proximity Graphs
Visual loop closure detection, which can be considered as an image retri...
read it
-
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
The prediction accuracy has been the long-lasting and sole standard for ...
read it
-
Rethink and Redesign Meta learning
Recently, Meta-learning has been shown as a promising way to improve the...
read it
-
Vision and Language: from Visual Perception to Content Creation
Vision and language are two fundamental capabilities of human intelligen...
read it
-
Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks
The current deep learning based visual tracking approaches have been ver...
read it
-
Recovering Geometric Information with Learned Texture Perturbations
Regularization is used to avoid overfitting when training a neural netwo...
read it
-
Toward Accurate and Realistic Virtual Try-on Through Shape Matching and Multiple Warps
A virtual try-on method takes a product image and an image of a model an...
read it
-
Learning a Unified Sample Weighting Network for Object Detection
Region sampling or weighting is significantly important to the success o...
read it
-
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach
We study the problem of attacking a machine learning model in the hard-l...
read it
-
Few-shot Learning with Meta Metric Learners
Few-shot Learning aims to learn classifiers for new classes with only a ...
read it
-
Skinning a Parameterization of Three-Dimensional Space for Neural Network Cloth
We present a novel learning framework for cloth deformation by embedding...
read it
-
Semi-Siamese Training for Shallow Face Learning
Most existing public face datasets, such as MS-Celeb-1M and VGGFace2, pr...
read it
-
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
We investigate large-scale latent variable models (LVMs) for neural stor...
read it
-
Object-driven Text-to-Image Synthesis via Adversarial Training
In this paper, we propose Object-driven Attentive Generative Adversarial...
read it
-
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness
Weakly supervised data are widespread and have attracted much attention....
read it
-
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
Face anti-spoofing is critical to the security of face recognition syste...
read it
-
NPCFace: A Negative-Positive Cooperation Supervision for Training Large-scale Face Recognition
Deep face recognition has made remarkable advances in the last few years...
read it
-
Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint
Product search is the most common way for people to satisfy their shoppi...
read it
-
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events
Large-scale pretrained language models have shown thrilling generation c...
read it
-
Matrix Completion from Non-Uniformly Sampled Entries
In this paper, we consider matrix completion from non-uniformly sampled ...
read it
-
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Knowledge graph embedding has been an active research topic for knowledg...
read it
-
Characterizing Attacks on Deep Reinforcement Learning
Deep reinforcement learning (DRL) has achieved great success in various ...
read it
-
Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points
Railway points are among the key components of railway infrastructure. A...
read it
-
Hard-Aware Fashion Attribute Classification
Fashion attribute classification is of great importance to many high-lev...
read it
-
3D Virtual Garment Modeling from RGB Images
We present a novel approach that constructs 3D virtual garment models fr...
read it
-
Support Vector Guided Softmax Loss for Face Recognition
Face recognition has witnessed significant progresses due to the advance...
read it
-
Deep Recurrent Quantization for Generating Sequential Binary Codes
Quantization has been an effective technology in ANN (approximate neares...
read it
-
Adversarial Training Methods for Network Embedding
Network Embedding is the task of learning continuous node representation...
read it
-
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition
The ChaLearn large-scale gesture recognition challenge has been run twic...
read it
-
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise
In this paper, we study the problem of learning image classification mod...
read it
-
Optimizing Gross Merchandise Volume via DNN-MAB Dynamic Ranking Paradigm
With the transition from people's traditional `brick-and-mortar' shoppin...
read it
-
Neural Rating Regression with Abstractive Tips Generation for Recommendation
Recently, some E-commerce sites launch a new interaction box called Tips...
read it
-
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Top-down visual attention mechanisms have been used extensively in image...
read it
-
A Survey on Dialogue Systems: Recent Advances and New Frontiers
Dialogue systems have attracted more and more attention. Recent advances...
read it
-
Neural Attentive Session-based Recommendation
Given e-commerce scenarios that user profiles are invisible, session-bas...
read it
-
Deep Reinforcement Learning for List-wise Recommendations
Recommender systems play a crucial role in mitigating the problem of inf...
read it
-
Spot the Difference by Object Detection
In this paper, we propose a simple yet effective solution to a change de...
read it
-
Cross-domain Human Parsing via Adversarial Feature and Label Adaptation
Human parsing has been extensively studied recently due to its wide appl...
read it
-
Etymo: A New Discovery Engine for AI Research
We present Etymo (https://etymo.io), a discovery engine to facilitate ar...
read it