b'Feng Liu'

research

∙ 08/27/2023

Slimmed optical neural networks with multiplexed neuron sets and a corresponding backpropagation training algorithm

Due to their intrinsic capabilities on parallel signal processing, optic...

0 Yi-Feng Liu, et al. ∙

research

∙ 08/21/2023

Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification

Long-Term Person Re-Identification (LT-ReID) has become increasingly cru...

0 Feng Liu, et al. ∙

research

∙ 07/12/2023

Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation

Generating unlabeled data has been recently shown to help address the fe...

0 Ruijiang Dong, et al. ∙

research

∙ 06/29/2023

FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude

Whole-body biometric recognition is an important area of research due to...

0 Feng Liu, et al. ∙

research

∙ 06/15/2023

CoverHunter: Cover Song Identification with Refined Attention and Alignments

Abstract: Cover song identification (CSI) focuses on finding the same mu...

0 Feng Liu, et al. ∙

research

∙ 05/25/2023

Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score

Adversarial detection aims to determine whether a given sample is an adv...

0 Shuhai Zhang, et al. ∙

research

∙ 05/20/2023

DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems

Click-Through Rate (CTR) prediction is one of the main tasks of the reco...

0 Menglin Kong, et al. ∙

research

∙ 05/15/2023

Attacking Perceptual Similarity Metrics

Perceptual similarity metrics have progressively become more correlated ...

0 Abhijay Ghildyal, et al. ∙

research

∙ 04/30/2023

Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization

Adversarial contrastive learning (ACL), without requiring labels, incorp...

3 Xilie Xu, et al. ∙

research

∙ 04/14/2023

DCFace: Synthetic Face Generation with Dual Condition Diffusion Model

Generating synthetic datasets for training face recognition models is ch...

0 Minchul Kim, et al. ∙

research

∙ 03/29/2023

AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation

To apply optical flow in practice, it is often necessary to resize the i...

0 Hyunyoung Jung, et al. ∙

research

∙ 03/09/2023

Out-of-distribution Detection with Implicit Outlier Transformation

Outlier exposure (OE) is powerful in out-of-distribution (OOD) detection...

0 Qizhou Wang, et al. ∙

research

∙ 02/26/2023

Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations

Fueled by recent advances of self-supervised models, pre-trained speech ...

0 Siyuan Shen, et al. ∙

research

∙ 02/17/2023

PhaseNet: Phase-Encode Denoising Network for Compressed Sensing MRI

Sparse reconstruction is an important aspect of modern medical imaging, ...

0 Marlon E. Bran Lorenzana, et al. ∙

research

∙ 02/08/2023

Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection

Adversarial contrastive learning (ACL) does not require expensive data a...

1 Xilie Xu, et al. ∙

research

∙ 12/29/2022

Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects

The objective of this paper is to learn dense 3D shape correspondence fo...

0 Feng Liu, et al. ∙

research

∙ 12/19/2022

Continuous Semi-Supervised Nonnegative Matrix Factorization

Nonnegative matrix factorization can be used to automatically detect top...

0 Michael R. Lindstrom, et al. ∙

research

∙ 10/26/2022

Is Out-of-Distribution Detection Learnable?

Supervised learning aims to train a classifier under the assumption that...

0 Zhen Fang, et al. ∙

research

∙ 10/19/2022

Cluster and Aggregate: Face Recognition with Large Probe Set

Feature fusion plays a crucial role in unconstrained face recognition wh...

0 Minchul Kim, et al. ∙

research

∙ 10/14/2022

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization

Domain generalization (DG) enables generalizing a learning machine from ...

2 Chaoqi Chen, et al. ∙

research

∙ 10/04/2022

A Perceptual Quality Metric for Video Frame Interpolation

Research on video frame interpolation has made significant progress in r...

0 Qiqi Hou, et al. ∙

research

∙ 09/25/2022

A Uniform Representation Learning Method for OCT-based Fingerprint Presentation Attack Detection and Reconstruction

The technology of optical coherence tomography (OCT) to fingerprint imag...

0 Wentian Zhang, et al. ∙

research

∙ 08/05/2022

Neighborhood Collective Estimation for Noisy Label Identification and Correction

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

1 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...

2 Ganlong Zhao, et al. ∙

research

∙ 07/27/2022

Shift-tolerant Perceptual Similarity Metric

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

0 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...

0 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...

10 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...

1 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...

0 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...

0 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...

4 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 ...

0 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...

3 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...

0 Jiazhi Liu, et al. ∙

research

∙ 03/24/2022

Transformer Compressed Sensing via Global Image Tokens

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

0 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...

0 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...

0 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...

0 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...

0 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...

1 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...

0 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...

13 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...

0 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...

0 Yiwei Qiu, et al. ∙

research

∙ 11/22/2021

Face Presentation Attack Detection using Taskonomy Feature

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

0 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...

0 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...

21 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...

0 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...

0 Feng Liu, et al. ∙

research

∙ 09/18/2021

Manifold-preserved GANs

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

24 Haozhe Liu, et al. ∙

Feng Liu

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