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09/07/2022
Text Growing on Leaf
Irregular-shaped texts bring challenges to Scene Text Detection (STD). A...
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09/07/2022
Zoom Text Detector
To pursue comprehensive performance, recent text detectors improve detec...
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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...
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10/12/2020
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Unlabeled data learning has attracted considerable attention recently. H...
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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...
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07/30/2020
Pixel-wise Crowd Understanding via Synthetic Data
Crowd analysis via computer vision techniques is an important topic in t...
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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 ...
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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...
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02/20/2020
Focus on Semantic Consistency for Cross-domain Crowd Understanding
For pixel-level crowd understanding, it is time-consuming and laborious ...
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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...
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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...
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10/16/2019
Intelligence in Strategic Games
The article considers strategies of coalitions that are based on intelli...
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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...
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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. ...
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05/24/2019
Efficient Batch Black-box Optimization with Deterministic Regret Bounds
In this work, we investigate black-box optimization from the perspective...
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05/21/2019
Marginalized Average Attentional Network for Weakly-Supervised Learning
In weakly-supervised temporal action localization, previous works have f...
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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), ...
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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...
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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 ...
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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. ...
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04/30/2019
Early Action Prediction with Generative Adversarial Networks
Action Prediction is aimed to determine what action is occurring in a vi...
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04/30/2019
Memory-Augmented Temporal Dynamic Learning for Action Recognition
Human actions captured in video sequences contain two crucial factors fo...
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04/30/2019
Anomaly Detection in Traffic Scenes via Spatial-aware Motion Reconstruction
Anomaly detection from a driver's perspective when driving is important ...
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04/30/2019
Cross-Modal Message Passing for Two-stream Fusion
Processing and fusing information among multi-modal is a very useful tec...
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04/22/2019
Forward Vehicle Collision Warning Based on Quick Camera Calibration
Forward Vehicle Collision Warning (FCW) is one of the most important fun...
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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 ...
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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 ...
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10/04/2018
ASIED: A Bayesian Adaptive Subgroup-Identification Enrichment Design
Developing targeted therapies based on patients' baseline characteristic...
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09/06/2018
Dynamic Hierarchical Empirical Bayes: A Predictive Model Applied to Online Advertising
Predicting keywords performance, such as number of impressions, click-th...
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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 ...
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07/12/2018
Robustness Analysis of Pedestrian Detectors for Surveillance
To obtain effective pedestrian detection results in surveillance video, ...
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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...
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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...
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08/02/2017
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection
In this paper, we investigate a weakly-supervised object detection frame...
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06/08/2017