b'Feng Liu'

research

∙ 08/05/2022

Neighborhood Collective Estimation for Noisy Label Identification and Correction

Learning with noisy labels (LNL) aims at designing strategies to improve...

Jichang Li, et al. ∙

research

∙ 07/29/2022

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels

Deep models trained with noisy labels are prone to over-fitting and stru...

Ganlong Zhao, et al. ∙

research

∙ 07/27/2022

Shift-tolerant Perceptual Similarity Metric

Existing perceptual similarity metrics assume an image and its reference...

Abhijay Ghildyal, et al. ∙

research

∙ 07/20/2022

2D GANs Meet Unsupervised Single-view 3D Reconstruction

Recent research has shown that controllable image generation based on pr...

Feng Liu, et al. ∙

research

∙ 07/20/2022

Controllable and Guided Face Synthesis for Unconstrained Face Recognition

Although significant advances have been made in face recognition (FR), F...

Feng Liu, et al. ∙

research

∙ 07/05/2022

SNeRF: Stylized Neural Implicit Representations for 3D Scenes

This paper presents a stylized novel view synthesis method. Applying sta...

Thu Nguyen-Phuoc, et al. ∙

research

∙ 06/15/2022

Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack

The AutoAttack (AA) has been the most reliable method to evaluate advers...

Ruize Gao, et al. ∙

research

∙ 06/11/2022

Bilateral Dependency Optimization: Defending Against Model-inversion Attacks

Through using only a well-trained classifier, model-inversion (MI) attac...

Xiong Peng, et al. ∙

research

∙ 06/09/2022

Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms

The theoretical analysis of multi-class classification has proved that t...

Guangzhi Ma, et al. ∙

research

∙ 05/19/2022

Integral Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection

Modern object detectors have taken the advantages of pre-trained vision ...

Xiaosong Zhang, et al. ∙

research

∙ 05/16/2022

Robust Representation via Dynamic Feature Aggregation

Deep convolutional neural network (CNN) based models are vulnerable to t...

Haozhe Liu, et al. ∙

research

∙ 04/11/2022

A novel stereo matching pipeline with robustness and unfixed disparity search range

Stereo matching is an essential basis for various applications, but most...

Jiazhi Liu, et al. ∙

research

∙ 03/24/2022

Transformer Compressed Sensing via Global Image Tokens

Convolutional neural networks (CNN) have demonstrated outstanding Compre...

Marlon Bran Lorenzana, et al. ∙

research

∙ 03/24/2022

Disentangleing Content and Fine-grained Prosody Information via Hybrid ASR Bottleneck Features for Voice Conversion

Non-parallel data voice conversion (VC) have achieved considerable break...

Xintao Zhao, et al. ∙

research

∙ 03/07/2022

Undersampled MRI Reconstruction with Side Information-Guided Normalisation

Magnetic resonance (MR) images exhibit various contrasts and appearances...

Xinwen Liu, et al. ∙

research

∙ 03/03/2022

Censoring and censoring mechanisms in oncology in light of the estimands framework

In oncology clinical trials with time-to-event endpoints, censoring rule...

Jonathan Siegel, et al. ∙

research

∙ 02/24/2022

On Nash-Stackelberg-Nash Games under Decision-Dependent Uncertainties: Model and Equilibrium

In this paper, we discuss a class of two-stage hierarchical games with m...

Yunfan Zhang, et al. ∙

research

∙ 02/07/2022

Adversarial Attacks and Defense for Non-Parametric Two-Sample Tests

Non-parametric two-sample tests (TSTs) that judge whether two sets of sa...

Xilie Xu, et al. ∙

research

∙ 01/24/2022

Learning Sparse and Continuous Graph Structures for Multivariate Time Series Forecasting

Accurate forecasting of multivariate time series is an extensively studi...

Weijun Chen, et al. ∙

research

∙ 01/09/2022

The State of Aerial Surveillance: A Survey

The rapid emergence of airborne platforms and imaging sensors are enabli...

Kien Nguyen, et al. ∙

research

∙ 12/03/2021

LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences

Learning modality-fused representations and processing unaligned multimo...

Ziwang Fu, et al. ∙

research

∙ 11/27/2021

Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports

The stochastic differential equation (SDE)-based random process models o...

Yiwei Qiu, et al. ∙

research

∙ 11/22/2021

Face Presentation Attack Detection using Taskonomy Feature

The robustness and generalization ability of Presentation Attack Detecti...

Wentian Zhang, et al. ∙

research

∙ 11/15/2021

Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising

Due to the diversity of attack materials, fingerprint recognition system...

Feng Liu, et al. ∙

research

∙ 11/04/2021

Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image

Inferring 3D locations and shapes of multiple objects from a single 2D i...

Feng Liu, et al. ∙

research

∙ 11/03/2021

A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognition

The audio-video based multimodal emotion recognition has attracted a lot...

Ziwang Fu, et al. ∙

research

∙ 10/22/2021

EvoGAN: An Evolutionary Computation Assisted GAN

The image synthesis technique is relatively well established which can g...

Feng Liu, et al. ∙

research

∙ 09/18/2021

Manifold-preserved GANs

Generative Adversarial Networks (GANs) have been widely adopted in vario...

Haozhe Liu, et al. ∙

research

∙ 09/09/2021

Taming Self-Supervised Learning for Presentation Attack Detection: In-Image De-Folding and Out-of-Image De-Mixing

Biometric systems are vulnerable to the Presentation Attacks (PA) perfor...

Haozhe Liu, et al. ∙

research

∙ 08/30/2021

Deep 3D Mask Volume for View Synthesis of Dynamic Scenes

Image view synthesis has seen great success in reconstructing photoreali...

Kai-En Lin, et al. ∙

research

∙ 08/16/2021

Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism

Softmax is widely used in neural networks for multiclass classification,...

Shulun Wang, et al. ∙

research

∙ 06/30/2021

Learning Bounds for Open-Set Learning

Traditional supervised learning aims to train a classifier in the closed...

Zhen Fang, et al. ∙

research

∙ 06/30/2021

Local Reweighting for Adversarial Training

Instances-reweighted adversarial training (IRAT) can significantly boost...

Ruize Gao, et al. ∙

research

∙ 06/25/2021

Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning

Fairness in recommendation has attracted increasing attention due to bia...

Weiwen Liu, et al. ∙

research

∙ 06/24/2021

Fast Monte Carlo Rendering via Multi-Resolution Sampling

Monte Carlo rendering algorithms are widely used to produce photorealist...

Qiqi Hou, et al. ∙

research

∙ 06/15/2021

Probabilistic Margins for Instance Reweighting in Adversarial Training

Reweighting adversarial data during training has been recently shown to ...

Qizhou Wang, et al. ∙

research

∙ 06/14/2021

Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data

Modern kernel-based two-sample tests have shown great success in disting...

Feng Liu, et al. ∙

research

∙ 06/11/2021

TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation

In few-shot domain adaptation (FDA), classifiers for the target domain a...

Haoang Chi, et al. ∙

research

∙ 06/11/2021

KRADA: Known-region-aware Domain Alignment for Open World Semantic Segmentation

In semantic segmentation, we aim to train a pixel-level classifier to as...

Chenhong Zhou, et al. ∙

research

∙ 04/02/2021

Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction

Inferring 3D structure of a generic object from a 2D image is a long-sta...

Feng Liu, et al. ∙

research

∙ 03/31/2021

Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI

MRI images of the same subject in different contrasts contain shared inf...

Xinwen Liu, et al. ∙

research

∙ 03/13/2021

An Identity-based Batch Verification Scheme for VANETs Based on Ring Signature with Efficient Revocation

Vehicular ad-hoc networks (VANETs) are one of the most important compone...

Feng Liu, et al. ∙

research

∙ 03/09/2021

Universal Undersampled MRI Reconstruction

Deep neural networks have been extensively studied for undersampled MRI ...

Xinwen Liu, et al. ∙

research

∙ 03/08/2021

Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection

Few-shot object detection has made substantial progressby representing n...

Bohao Li, et al. ∙

research

∙ 03/03/2021

Group-wise Inhibition based Feature Regularization for Robust Classification

The vanilla convolutional neural network (CNN) is vulnerable to images w...

Haozhe Liu, et al. ∙

research

∙ 02/08/2021

Meta Discovery: Learning to Discover Novel Classes given Very Limited Data

In learning to discover novel classes(L2DNC), we are given labeled data ...

Haoang Chi, et al. ∙

research

∙ 12/30/2020

How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?

Unsupervised domain adaptation (UDA) aims to train a target classifier w...

Li Zhong, et al. ∙

research

∙ 10/23/2020

Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence

The goal of this paper is to learn dense 3D shape correspondence for top...

Feng Liu, et al. ∙

research

∙ 10/22/2020

Maximum Mean Discrepancy is Aware of Adversarial Attacks

The maximum mean discrepancy (MMD) test, as a representative two-sample ...

Ruize Gao, et al. ∙

research

∙ 10/01/2020

Learned Dual-View Reflection Removal

Traditional reflection removal algorithms either use a single image as i...

Simon Niklaus, et al. ∙

Feng Liu

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