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How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
Unsupervised domain adaptation (UDA) aims to train a target classifier w...
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Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
The goal of this paper is to learn dense 3D shape correspondence for top...
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Maximum Mean Discrepancy is Aware of Adversarial Attacks
The maximum mean discrepancy (MMD) test, as a representative two-sample ...
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Learned Dual-View Reflection Removal
Traditional reflection removal algorithms either use a single image as i...
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Learning from a Complementary-label Source Domain: Theory and Algorithms
In unsupervised domain adaptation (UDA), a classifier for the target dom...
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Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
In unsupervised domain adaptation (UDA), classifiers for the target doma...
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Domain Contrast for Domain Adaptive Object Detection
We present Domain Contrast (DC), a simple yet effective approach inspire...
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Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation
In the unsupervised open set domain adaptation (UOSDA), the target domai...
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Inter-sequence Enhanced Framework for Personalized Sequential Recommendation
Modeling the sequential correlation of users' historical interactions is...
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Deep Homography Estimation for Dynamic Scenes
Homography estimation is an important step in many computer vision probl...
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Local Facial Makeup Transfer via Disentangled Representation
Facial makeup transfer aims to render a non-makeup face image in an arbi...
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Softmax Splatting for Video Frame Interpolation
Differentiable image sampling in the form of backward warping has seen b...
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Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation
The midline related pathological image features are crucial for evaluati...
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Learning Deep Kernels for Non-Parametric Two-Sample Tests
We propose a class of kernel-based two-sample tests, which aim to determ...
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A Zero-Shot based Fingerprint Presentation Attack Detection System
With the development of presentation attacks, Automated Fingerprint Reco...
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Frosting Weights for Better Continual Training
Training a neural network model can be a lifelong learning process and i...
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On the Detection of Digital Face Manipulation
Detecting manipulated facial images and videos is an increasingly import...
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IBRS: An Efficient Identity-based Batch Verification Scheme for VANETs Based on Ring Signature
Vehicular ad-hoc networks (VANETs) are one of the most important compone...
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Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation
Natural image matting is an important problem in computer vision and gra...
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3D Ken Burns Effect from a Single Image
The Ken Burns effect allows animating still images with a virtual camera...
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On Learning Disentangled Representations for Gait Recognition
Gait, the walking pattern of individuals, is one of the important biomet...
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Meta Learning with Relational Information for Short Sequences
This paper proposes a new meta-learning method -- named HARMLESS (HAwkes...
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MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences
Chinese meme-face is a special kind of internet subculture widely spread...
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Open Set Domain Adaptation: Theoretical Bound and Algorithm
Unsupervised domain adaptation for classification tasks has achieved gre...
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Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior
Brain source imaging is an important method for noninvasively characteri...
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Butterfly: A Panacea for All Difficulties in Wildly Unsupervised Domain Adaptation
In unsupervised domain adaptation (UDA), classifiers for the target doma...
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Butterfly: Robust One-step Approach towards Wildly-unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) trains with clean labeled data in s...
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Towards High-fidelity Nonlinear 3D Face Morphable Model
Embedding 3D morphable basis functions into deep neural networks opens g...
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Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment
Continuous integration is an indispensable step of modern software engin...
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3D Face Modeling from Diverse Raw Scan Data
Traditional 3D models learn a latent representation of faces using linea...
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Joint Stabilization and Direction of 360°Videos
360 video provides an immersive experience for viewers, allowing them to...
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On Computation and Generalization of GANs with Spectrum Control
Generative Adversarial Networks (GANs), though powerful, is hard to trai...
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Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling
Recommendation is crucial in both academia and industry, and various tec...
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An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation
The KNN approach, which is widely used in recommender systems because of...
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Research on Artificial Intelligence Ethics Based on the Evolution of Population Knowledge Base
The unclear development direction of human society is a deep reason for ...
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Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition
This paper proposes an encoder-decoder network to disentangle shape feat...
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Context-aware Synthesis for Video Frame Interpolation
Video frame interpolation algorithms typically estimate optical flow or ...
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Learning Environmental Sounds with Multi-scale Convolutional Neural Network
Deep learning has dramatically improved the performance of sounds recogn...
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Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool
In recent years, visual question answering (VQA) has become topical. The...
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Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification
Recently, some studies have utilized the Markov Decision Process for div...
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Crowd Flow Prediction by Deep Spatio-Temporal Transfer Learning
Crowd flow prediction is a fundamental urban computing problem. Recently...
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Analysis of the Relation between Artificial Intelligence and the Internet from the Perspective of Brain Science
Artificial intelligence (AI) like deep learning, cloud AI computation ha...
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Three IQs of AI Systems and their Testing Methods
The rapid development of artificial intelligence has brought the artific...
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Mitigating Blackout Risk via Maintenance : Inference from Simulation Data
Whereas maintenance has been recognized as an important and effective me...
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iVQA: Inverse Visual Question Answering
In recent years, visual question answering (VQA) has become topical as a...
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Intelligence Quotient and Intelligence Grade of Artificial Intelligence
Although artificial intelligence is currently one of the most interestin...
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Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition
Face alignment and 3D face reconstruction are traditionally accomplished...
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Video Frame Interpolation via Adaptive Separable Convolution
Standard video frame interpolation methods first estimate optical flow b...
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Actor-Critic Sequence Training for Image Captioning
Generating natural language descriptions of images is an important capab...
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Video Frame Interpolation via Adaptive Convolution
Video frame interpolation typically involves two steps: motion estimatio...
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