b'Yuan Yuan'

research

∙ 09/07/2022

Text Growing on Leaf

Irregular-shaped texts bring challenges to Scene Text Detection (STD). A...

7 Chuang Yang, et al. ∙

research

∙ 09/07/2022

Zoom Text Detector

To pursue comprehensive performance, recent text detectors improve detec...

14 Chuang Yang, et al. ∙

research

∙ 10/19/2020

Causal Network Motifs: Identifying Heterogeneous Spillover Effects in A/B Tests

Randomized experiments, or "A/B" tests, remain the gold standard for eva...

0 Yuan Yuan, et al. ∙

research

∙ 10/12/2020

Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning

Unlabeled data learning has attracted considerable attention recently. H...

16 Tao Han, et al. ∙

research

∙ 08/25/2020

In-Home Daily-Life Captioning Using Radio Signals

This paper aims to caption daily life –i.e., to create a textual descrip...

3 Lijie Fan, et al. ∙

research

∙ 07/30/2020

Pixel-wise Crowd Understanding via Synthetic Data

Crowd analysis via computer vision techniques is an important topic in t...

0 Wang Qi, et al. ∙

research

∙ 04/05/2020

Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting

Cross-domain crowd counting (CDCC) is a hot topic due to its importance ...

0 Qi Wang, et al. ∙

research

∙ 04/02/2020

Learning Longterm Representations for Person Re-Identification Using Radio Signals

Person Re-Identification (ReID) aims to recognize a person-of-interest a...

2 Lijie Fan, et al. ∙

research

∙ 02/20/2020

Focus on Semantic Consistency for Cross-domain Crowd Understanding

For pixel-level crowd understanding, it is time-consuming and laborious ...

0 Tao Han, et al. ∙

research

∙ 12/08/2019

Domain-adaptive Crowd Counting via Inter-domain Features Segregation and Gaussian-prior Reconstruction

Recently, crowd counting using supervised learning achieves a remarkable...

12 Junyu Gao, et al. ∙

research

∙ 12/08/2019

Feature-aware Adaptation and Structured Density Alignment for Crowd Counting in Video Surveillance

With the development of deep neural networks, the performance of crowd c...

10 Junyu Gao, et al. ∙

research

∙ 10/16/2019

Intelligence in Strategic Games

The article considers strategies of coalitions that are based on intelli...

0 Pavel Naumov, et al. ∙

research

∙ 08/10/2019

SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting

Recently, crowd counting is a hot topic in crowd analysis. Many CNN-base...

7 Junyu Gao, et al. ∙

research

∙ 06/24/2019

Identify and understand pay-it-forward reciprocity using millions of online red packets

Pay-it-forward reciprocity encourages the spread of prosocial behavior. ...

0 Yuan Yuan, et al. ∙

research

∙ 05/24/2019

Efficient Batch Black-box Optimization with Deterministic Regret Bounds

In this work, we investigate black-box optimization from the perspective...

0 Yueming Lyu, et al. ∙

research

∙ 05/21/2019

Marginalized Average Attentional Network for Weakly-Supervised Learning

In weakly-supervised temporal action localization, previous works have f...

0 Yuan Yuan, et al. ∙

research

∙ 05/05/2019

Learning by Inertia: Self-supervised Monocular Visual Odometry for Road Vehicles

In this paper, we present iDVO (inertia-embedded deep visual odometry), ...

0 Chengze Wang, et al. ∙

research

∙ 05/05/2019

VSSA-NET: Vertical Spatial Sequence Attention Network for Traffic Sign Detection

Although traffic sign detection has been studied for years and great pro...

8 Yuan Yuan, et al. ∙

research

∙ 05/05/2019

Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection

Road detection from the perspective of moving vehicles is a challenging ...

4 Qi Wang, et al. ∙

research

∙ 05/05/2019

A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling

Street scene understanding is an essential task for autonomous driving. ...

4 Qi Wang, et al. ∙

research

∙ 04/30/2019

Early Action Prediction with Generative Adversarial Networks

Action Prediction is aimed to determine what action is occurring in a vi...

8 Dong Wang, et al. ∙

research

∙ 04/30/2019

Memory-Augmented Temporal Dynamic Learning for Action Recognition

Human actions captured in video sequences contain two crucial factors fo...

0 Yuan Yuan, et al. ∙

research

∙ 04/30/2019

Anomaly Detection in Traffic Scenes via Spatial-aware Motion Reconstruction

Anomaly detection from a driver's perspective when driving is important ...

10 Yuan Yuan, et al. ∙

research

∙ 04/30/2019

Cross-Modal Message Passing for Two-stream Fusion

Processing and fusing information among multi-modal is a very useful tec...

0 Dong Wang, et al. ∙

research

∙ 04/22/2019

Forward Vehicle Collision Warning Based on Quick Camera Calibration

Forward Vehicle Collision Warning (FCW) is one of the most important fun...

0 Yuwei Lu, et al. ∙

research

∙ 04/22/2019

Tracking as A Whole: Multi-Target Tracking by Modeling Group Behavior with Sequential Detection

Video-based vehicle detection and tracking is one of the most important ...

0 Yuan Yuan, et al. ∙

research

∙ 03/08/2019

Learning from Synthetic Data for Crowd Counting in the Wild

Recently, counting the number of people for crowd scenes is a hot topic ...

0 Qi Wang, et al. ∙

research

∙ 10/04/2018

ASIED: A Bayesian Adaptive Subgroup-Identification Enrichment Design

Developing targeted therapies based on patients' baseline characteristic...

0 Yanxun Xu, et al. ∙

research

∙ 09/06/2018

Dynamic Hierarchical Empirical Bayes: A Predictive Model Applied to Online Advertising

Predicting keywords performance, such as number of impressions, click-th...

0 Yuan Yuan, et al. ∙

research

∙ 09/03/2018

Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks

We consider the single image super-resolution problem in a more general ...

0 Yuan Yuan, et al. ∙

research

∙ 07/12/2018

Robustness Analysis of Pedestrian Detectors for Surveillance

To obtain effective pedestrian detection results in surveillance video, ...

0 Yuming Fang, et al. ∙

research

∙ 12/21/2017

ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming

Recent empirical studies show that the performance of GenProg is not sat...

0 Yuan Yuan, et al. ∙

research

∙ 12/08/2017

Online Red Packets: A Large-scale Empirical Study of Gift Giving on WeChat

Gift giving is a ubiquitous social phenomenon, and red packets have been...

0 Yuan Yuan, et al. ∙

research

∙ 08/02/2017

Temporal Dynamic Graph LSTM for Action-driven Video Object Detection

In this paper, we investigate a weakly-supervised object detection frame...

0 Yuan Yuan, et al. ∙

research

∙ 06/08/2017

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results

In this report, we suggest nine test problems for multi-task multi-objec...

0 Yuan Yuan, et al. ∙

Yuan Yuan

Featured Co-authors