b'Feng Zhou'

Learning Compatible Embeddings

Achieving backward compatibility when rolling out new models can highly ...
08/04/2021 ∙ by Qiang Meng, et al. ∙ 0 ∙ share

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PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition

Despite the great success achieved by deep learning methods in face reco...
07/25/2021 ∙ by Qiang Meng, et al. ∙ 9 ∙ share

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Investigating External Interaction Modality and Design Between Automated Vehicles and Pedestrians at Crossings

In this study, we investigated the effectiveness and user acceptance of ...
07/21/2021 ∙ by Sue Bai, et al. ∙ 0 ∙ share

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Predicting Driver Takeover Time in Conditionally Automated Driving

It is extremely important to ensure a safe takeover transition in condit...
07/20/2021 ∙ by Jackie Ayoub, et al. ∙ 0 ∙ share

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Bias-Tolerant Fair Classification

The label bias and selection bias are acknowledged as two reasons in dat...
07/07/2021 ∙ by Yixuan Zhang, et al. ∙ 0 ∙ share

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Nonlinear Hawkes Processes in Time-Varying System

Hawkes processes are a class of point processes that have the ability to...
06/09/2021 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Using Eye-tracking Data to Predict Situation Awareness in Real Time during Takeover Transitions in Conditionally Automated Driving

Situation awareness (SA) is critical to improving takeover performance d...
03/27/2021 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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MagFace: A Universal Representation for Face Recognition and Quality Assessment

The performance of face recognition system degrades when the variability...
03/11/2021 ∙ by Qiang Meng, et al. ∙ 27 ∙ share

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Predicting Driver Fatigue in Automated Driving with Explainability

Research indicates that monotonous automated driving increases the incid...
03/03/2021 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models

Misinformation of COVID-19 is prevalent on social media as the pandemic ...
03/01/2021 ∙ by Jackie Ayoub, et al. ∙ 0 ∙ share

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Searching for Alignment in Face Recognition

A standard pipeline of current face recognition frameworks consists of f...
02/10/2021 ∙ by Xiaqing Xu, et al. ∙ 0 ∙ share

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Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability

Technological advances in the automotive industry are bringing automated...
12/25/2020 ∙ by Jackie Ayoub, et al. ∙ 0 ∙ share

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Psychophysiological responses to takeover requests in conditionally automated driving

In SAE Level 3 automated driving, taking over control from automation ra...
10/06/2020 ∙ by Na Du, et al. ∙ 0 ∙ share

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Emotional Design

Emotional design has been well recognized in the domain of human factors...
10/06/2020 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Physical-Layer Security for Two-Hop Air-to-Underwater Communication Systems With Fixed-Gain Amplify-and-Forward Relaying

We analyze a secure two-hop mixed radio frequency (RF) and underwater wi...
09/21/2020 ∙ by Yi Lou, et al. ∙ 0 ∙ share

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Visible Feature Guidance for Crowd Pedestrian Detection

Heavy occlusion and dense gathering in crowd scene make pedestrian detec...
08/23/2020 ∙ by Zhida Huang, et al. ∙ 11 ∙ share

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Matching Guided Distillation

Feature distillation is an effective way to improve the performance for ...
08/23/2020 ∙ by Kaiyu Yue, et al. ∙ 15 ∙ share

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Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression

Amid the ongoing COVID-19 pandemic, whether COVID-19 patients with high ...
06/30/2020 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Efficient Inference of Nonparametric Interaction in Spiking-neuron Networks

Hawkes process provides an effective statistical framework for analyzing...
06/23/2020 ∙ by Feng Zhou, et al. ∙ 6 ∙ share

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Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes

We present the Additive Poisson Process (APP), a novel framework that ca...
06/16/2020 ∙ by Simon Luo, et al. ∙ 0 ∙ share

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Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing

Face anti-spoofing is critical to the security of face recognition syste...
03/18/2020 ∙ by Zezheng Wang, et al. ∙ 6 ∙ share

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Searching Central Difference Convolutional Networks for Face Anti-Spoofing

Face anti-spoofing (FAS) plays a vital role in face recognition systems....
03/09/2020 ∙ by Zitong Yu, et al. ∙ 14 ∙ share

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Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving

In conditionally automated driving, drivers have difficulty in takeover ...
01/13/2020 ∙ by Na Du, et al. ∙ 12 ∙ share

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Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation

In this paper, we consider the sigmoid Gaussian Hawkes process model: th...
10/29/2019 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Recognizing Part Attributes with Insufficient Data

Recognizing attributes of objects and their parts is important to many c...
08/09/2019 ∙ by Xiangyun Zhao, et al. ∙ 0 ∙ share

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Fast Multi-resolution Segmentation for Nonstationary Hawkes Process Using Cumulants

The stationarity is assumed in vanilla Hawkes process, which reduces the...
06/06/2019 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Efficient EM-Variational Inference for Hawkes Process

In classical Hawkes process, the baseline intensity and triggering kerne...
05/29/2019 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Compact Generalized Non-local Network

The non-local module is designed for capturing long-range spatio-tempora...
10/31/2018 ∙ by Kaiyu Yue, et al. ∙ 0 ∙ share

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Fine-grained Video Categorization with Redundancy Reduction Attention

For fine-grained categorization tasks, videos could serve as a better so...
10/26/2018 ∙ by Chen Zhu, et al. ∙ 8 ∙ share

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Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories

Existing 3D pose datasets of object categories are limited to generic ob...
10/19/2018 ∙ by Yaming Wang, et al. ∙ 0 ∙ share

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Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition

Attention-based learning for fine-grained image recognition remains a ch...
06/14/2018 ∙ by Ming Sun, et al. ∙ 2 ∙ share

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3D Pose Estimation for Fine-Grained Object Categories

Existing object pose estimation datasets are related to generic object t...
06/12/2018 ∙ by Yaming Wang, et al. ∙ 2 ∙ share

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Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model

Automated facial expression analysis has a variety of applications in hu...
05/02/2018 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Deep Metric Learning with Angular Loss

The modern image search system requires semantic understanding of image,...
08/04/2017 ∙ by Jian Wang, et al. ∙ 0 ∙ share

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Dynamic Computational Time for Visual Attention

We propose a dynamic computational time model to accelerate the average ...
03/30/2017 ∙ by Zhichao Li, et al. ∙ 0 ∙ share

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Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification

This paper proposes a novel deep learning framework named bidirectional-...
03/23/2017 ∙ by Qingshan Liu, et al. ∙ 0 ∙ share

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Fully Convolutional Attention Networks for Fine-Grained Recognition

Fine-grained recognition is challenging due to its subtle local inter-cl...
03/22/2016 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop

Existing fine-grained visual categorization methods often suffer from th...
12/16/2015 ∙ by Yin Cui, et al. ∙ 0 ∙ share

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Embedding Label Structures for Fine-Grained Feature Representation

Recent algorithms in convolutional neural networks (CNN) considerably ad...
12/09/2015 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Fine-grained Image Classification by Exploring Bipartite-Graph Labels

Given a food image, can a fine-grained object recognition engine tell "w...
12/08/2015 ∙ by Feng Zhou, et al. ∙ 0 ∙ share

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Feng Zhou

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