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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...
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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...
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07/12/2023
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
Generating unlabeled data has been recently shown to help address the fe...
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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...
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06/15/2023
CoverHunter: Cover Song Identification with Refined Attention and Alignments
Abstract: Cover song identification (CSI) focuses on finding the same mu...
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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...
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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...
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05/15/2023
Attacking Perceptual Similarity Metrics
Perceptual similarity metrics have progressively become more correlated ...
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04/30/2023
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
Adversarial contrastive learning (ACL), without requiring labels, incorp...
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04/14/2023
DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
Generating synthetic datasets for training face recognition models is ch...
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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...
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03/09/2023
Out-of-distribution Detection with Implicit Outlier Transformation
Outlier exposure (OE) is powerful in out-of-distribution (OOD) detection...
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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 ...
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02/17/2023
PhaseNet: Phase-Encode Denoising Network for Compressed Sensing MRI
Sparse reconstruction is an important aspect of modern medical imaging, ...
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02/08/2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection
Adversarial contrastive learning (ACL) does not require expensive data a...
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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...
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12/19/2022
Continuous Semi-Supervised Nonnegative Matrix Factorization
Nonnegative matrix factorization can be used to automatically detect top...
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10/26/2022
Is Out-of-Distribution Detection Learnable?
Supervised learning aims to train a classifier under the assumption that...
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10/19/2022
Cluster and Aggregate: Face Recognition with Large Probe Set
Feature fusion plays a crucial role in unconstrained face recognition wh...
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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 ...
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10/04/2022
A Perceptual Quality Metric for Video Frame Interpolation
Research on video frame interpolation has made significant progress in r...
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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...
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08/05/2022
Neighborhood Collective Estimation for Noisy Label Identification and Correction
Learning with noisy labels (LNL) aims at designing strategies to improve...
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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...
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07/27/2022
Shift-tolerant Perceptual Similarity Metric
Existing perceptual similarity metrics assume an image and its reference...
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07/20/2022
2D GANs Meet Unsupervised Single-view 3D Reconstruction
Recent research has shown that controllable image generation based on pr...
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07/20/2022
Controllable and Guided Face Synthesis for Unconstrained Face Recognition
Although significant advances have been made in face recognition (FR), F...
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07/05/2022
SNeRF: Stylized Neural Implicit Representations for 3D Scenes
This paper presents a stylized novel view synthesis method. Applying sta...
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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...
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06/11/2022
Bilateral Dependency Optimization: Defending Against Model-inversion Attacks
Through using only a well-trained classifier, model-inversion (MI) attac...
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06/09/2022
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms
The theoretical analysis of multi-class classification has proved that t...
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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 ...
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05/16/2022
Robust Representation via Dynamic Feature Aggregation
Deep convolutional neural network (CNN) based models are vulnerable to t...
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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...
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03/24/2022
Transformer Compressed Sensing via Global Image Tokens
Convolutional neural networks (CNN) have demonstrated outstanding Compre...
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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...
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03/07/2022
Undersampled MRI Reconstruction with Side Information-Guided Normalisation
Magnetic resonance (MR) images exhibit various contrasts and appearances...
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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...
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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...
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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...
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01/24/2022
Learning Sparse and Continuous Graph Structures for Multivariate Time Series Forecasting
Accurate forecasting of multivariate time series is an extensively studi...
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01/09/2022
The State of Aerial Surveillance: A Survey
The rapid emergence of airborne platforms and imaging sensors are enabli...
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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...
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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...
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11/22/2021
Face Presentation Attack Detection using Taskonomy Feature
The robustness and generalization ability of Presentation Attack Detecti...
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11/15/2021
Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising
Due to the diversity of attack materials, fingerprint recognition system...
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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...
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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...
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10/22/2021
EvoGAN: An Evolutionary Computation Assisted GAN
The image synthesis technique is relatively well established which can g...
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09/18/2021