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09/11/2023
Semantic Latent Decomposition with Normalizing Flows for Face Editing
Navigating in the latent space of StyleGAN has shown effectiveness for f...
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08/16/2023
Learning to Distill Global Representation for Sparse-View CT
Sparse-view computed tomography (CT) – using a small number of projectio...
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08/01/2023
Online Prototype Learning for Online Continual Learning
Online continual learning (CL) studies the problem of learning continuou...
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07/15/2023
Adaptive Nonlinear Latent Transformation for Conditional Face Editing
Recent works for face editing usually manipulate the latent space of Sty...
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07/12/2023
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction
Sparse-view computed tomography (CT) is a promising solution for expedit...
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04/17/2023
CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction
Lung nodule malignancy prediction has been enhanced by advanced deep-lea...
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04/04/2023
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
Low-dose computed tomography (CT) images suffer from noise and artifacts...
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03/16/2023
Cross-head Supervision for Crowd Counting with Noisy Annotations
Noisy annotations such as missing annotations and location shifts often ...
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03/13/2023
Twin Contrastive Learning with Noisy Labels
Learning from noisy data is a challenging task that significantly degene...
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01/15/2023
CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation
The goal of image ordinal estimation is to estimate the ordinal label of...
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11/21/2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm
Existing Graph Neural Networks (GNNs) follow the message-passing mechani...
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11/04/2022
Binaural Rendering of Ambisonic Signals by Neural Networks
Binaural rendering of ambisonic signals is of broad interest to virtual ...
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10/21/2022
GaitMAST: Motion-Aware Spatio-Temporal Feature Learning Network for Cross-View Gait Recognition
As a unique biometric that can be perceived at a distance, gait has broa...
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10/17/2022
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark
To minimize the impact of age variation on face recognition, age-invaria...
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07/24/2022
FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction
The presence of high-density objects such as metal implants and dental f...
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05/09/2022
Site Generalization: Stroke Lesion Segmentation on Magnetic Resonance Images from Unseen Sites
There are considerable interests in automatic stroke lesion segmentation...
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05/06/2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
Crowd Counting has important applications in public safety and pandemic ...
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03/19/2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily
Due to the homophily assumption of graph convolution networks, a common ...
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03/15/2022
Meta Ordinal Regression Forest for Medical Image Classification with Ordinal Labels
The performance of medical image classification has been enhanced by dee...
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01/30/2022
Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms
Unlike the conventional facial expressions, micro-expressions are involu...
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01/13/2022
S^2FPR: Crowd Counting via Self-Supervised Coarse to Fine Feature Pyramid Ranking
Most conventional crowd counting methods utilize a fully-supervised lear...
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11/23/2021
Exploring Non-Contrastive Representation Learning for Deep Clustering
Existing deep clustering methods rely on contrastive learning for repres...
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10/10/2021
Hard instance learning for quantum adiabatic prime factorization
Prime factorization is a difficult problem with classical computing, who...
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09/27/2021
Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration
In complex environments with high dimension, training a reinforcement le...
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08/24/2021
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
LDCT has drawn major attention in the medical imaging field due to the p...
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05/15/2021
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows
Age progression and regression aim to synthesize photorealistic appearan...
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03/27/2021
SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition
Gait recognition plays a vital role in human identification since gait i...
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03/02/2021
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
To minimize the effects of age variation in face recognition, previous w...
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02/05/2021
GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set
Gait is a unique biometric feature that can be recognized at a distance;...
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02/01/2021
RoutingGAN: Routing Age Progression and Regression with Disentangled Learning
Although impressive results have been achieved for age progression and r...
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01/31/2021
Meta ordinal weighting net for improving lung nodule classification
The progression of lung cancer implies the intrinsic ordinal relationshi...
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12/07/2020
Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules
Deep learning-based methods have achieved promising performance in early...
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12/07/2020
PFA-GAN: Progressive Face Aging with Generative Adversarial Network
Face aging is to render a given face to predict its future appearance, w...
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08/07/2020
Deep Ordinal Regression Forests
Ordinal regression is a type of regression techniques used for predictin...
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04/13/2020
STAS: Adaptive Selecting Spatio-Temporal Deep Features for Improving Bias Correction on Precipitation
Numerical Weather Prediction (NWP) can reduce human suffering by predict...
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02/27/2020
Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control
Although deep reinforcement learning (DRL) algorithms have made importan...
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10/24/2019
Look globally, age locally: Face aging with an attention mechanism
Face aging is of great importance for cross-age recognition and entertai...
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10/15/2019
Towards a Precipitation Bias Corrector against Noise and Maldistribution
With broad applications in various public services like aviation managem...
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07/18/2019
Video Prediction for Precipitation Nowcasting
Video prediction, which aims to synthesize new consecutive frames subseq...
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05/27/2019
Ordinal Distribution Regression for Gait-based Age Estimation
Computer vision researchers prefer to estimate the age from face images ...
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11/15/2018
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
As a unique biometric feature that can be recognized at a distance, gait...
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11/07/2018
PaDNet: Pan-Density Crowd Counting
Crowd counting in varying density scenes is a challenging problem in art...
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10/30/2018
Soft Activation Mapping of Lung Nodules in Low-Dose CT images
As a popular deep learning model, the convolutional neural network (CNN)...
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04/08/2018
Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression
Facial aging and facial rejuvenation analyze a given face photograph to ...
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03/18/2018
The Automatic Identification of Butterfly Species
The available butterfly data sets comprise a few limited species, and th...
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07/19/2016
Distribution-dependent concentration inequalities for tighter generalization bounds
Concentration inequalities are indispensable tools for studying the gene...
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06/06/2011