Beijing Institute of Technology

Beijing Institute of Technology, is a co-educational public university, located in Beijing, China, established in 1940, Yan'an.

Rethinking the Artificial Neural Networks: A Mesh of Subnets with a Central Mechanism for Storing and Predicting the Data

The Artificial Neural Networks (ANNs) have been originally designed to f...
01/05/2019 ∙ by Usman Ahmad, et al. ∙ 30 ∙ share

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Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer

Nowadays, deep learning techniques are widely used for lane detection, b...
02/04/2020 ∙ by Tong Liu, et al. ∙ 25 ∙ share

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ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

With the rapid development of spaceborne imaging techniques, object dete...
01/23/2019 ∙ by Xin Wu, et al. ∙ 24 ∙ share

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Assessing the Memory Ability of Recurrent Neural Networks

It is known that Recurrent Neural Networks (RNNs) can remember, in their...
02/18/2020 ∙ by Cheng Zhang, et al. ∙ 22 ∙ share

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Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set

Recently, deep learning based 3D face reconstruction methods have shown ...
03/20/2019 ∙ by Yu Deng, et al. ∙ 20 ∙ share

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UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation

We propose UniViLM: a Unified Video and Language pre-training Model for ...
02/15/2020 ∙ by Huaishao Luo, et al. ∙ 16 ∙ share

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Salient Object Detection in the Deep Learning Era: An In-Depth Survey

As an important problem in computer vision, salient object detection (SO...
04/19/2019 ∙ by Wenguan Wang, et al. ∙ 12 ∙ share

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A Novel Deep Neural Network Architecture for Mars Visual Navigation

In this paper, emerging deep learning techniques are leveraged to deal w...
08/25/2018 ∙ by Jiang Zhang, et al. ∙ 8 ∙ share

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Domain-adversarial Network Alignment

Network alignment is a critical task to a wide variety of fields. Many e...
08/15/2019 ∙ by Huiting Hong, et al. ∙ 7 ∙ share

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Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization

Neural networks with ReLU activations have achieved great empirical succ...
08/14/2018 ∙ by Gang Wang, et al. ∙ 6 ∙ share

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Deep Single-View 3D Object Reconstruction with Visual Hull Embedding

3D object reconstruction is a fundamental task of many robotics and AI p...
09/10/2018 ∙ by Hanqing Wang, et al. ∙ 6 ∙ share

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P-ODN: Prototype based Open Deep Network for Open Set Recognition

Most of the existing recognition algorithms are proposed for closed set ...
05/06/2019 ∙ by Yu Shu, et al. ∙ 6 ∙ share

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Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements

Removing undesirable reflections from a single image captured through a ...
04/01/2019 ∙ by Kaixuan Wei, et al. ∙ 4 ∙ share

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Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction

Compressed sensing based magnetic resonance imaging (CS-MRI) provides an...
08/11/2019 ∙ by Wenzhong Zhou, et al. ∙ 4 ∙ share

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Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation

Acquiring sufficient ground-truth supervision to train deep visual model...
12/09/2020 ∙ by Xueyi Li, et al. ∙ 4 ∙ share

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Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction

Midterm stock price prediction is crucial for value investments in the s...
08/03/2019 ∙ by Xinyi Li, et al. ∙ 3 ∙ share

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Self-Learning with Rectification Strategy for Human Parsing

In this paper, we solve the sample shortage problem in the human parsing...
04/17/2020 ∙ by Tao Li, et al. ∙ 3 ∙ share

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State-aware Anti-drift Robust Correlation Tracking

Correlation filter (CF) based trackers have aroused increasing attention...
06/28/2018 ∙ by Yuqi Han, et al. ∙ 2 ∙ share

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Motion-Attentive Transition for Zero-Shot Video Object Segmentation

In this paper, we present a novel Motion-Attentive Transition Network (M...
03/09/2020 ∙ by Tianfei Zhou, et al. ∙ 2 ∙ share

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A Unified Object Motion and Affinity Model for Online Multi-Object Tracking

Current popular online multi-object tracking (MOT) solutions apply singl...
03/25/2020 ∙ by Junbo Yin, et al. ∙ 2 ∙ share

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Domain Conditioned Adaptation Network

Tremendous research efforts have been made to thrive deep domain adaptat...
05/14/2020 ∙ by Shuang Li, et al. ∙ 2 ∙ share

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The Disruptions of 5G on Data-driven Technologies and Applications

With 5G on the verge of being adopted as the next mobile network, there ...
09/06/2019 ∙ by Dumitrel Loghin, et al. ∙ 1 ∙ share

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Pulsar Candidate Identification with Artificial Intelligence Techniques

Discovering pulsars is a significant and meaningful research topic in th...
11/27/2017 ∙ by Ping Guo, et al. ∙ 0 ∙ share

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Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation

In this paper, we propose a pose grammar to tackle the problem of 3D hum...
10/17/2017 ∙ by Haoshu Fang, et al. ∙ 0 ∙ share

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Deep Cropping via Attention Box Prediction and Aesthetics Assessment

We model the photo cropping problem as a cascade of attention box regres...
10/22/2017 ∙ by Wenguan Wang, et al. ∙ 0 ∙ share

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Novel Evaluation Metrics for Seam Carving based Image Retargeting

Image retargeting effectively resizes images by preserving the recogniza...
09/22/2017 ∙ by Tam V. Nguyen, et al. ∙ 0 ∙ share

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Solving Almost all Systems of Random Quadratic Equations

This paper deals with finding an n-dimensional solution x to a system of...
05/29/2017 ∙ by Gang Wang, et al. ∙ 0 ∙ share

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Anisotropic Diffusion-based Kernel Matrix Model for Face Liveness Detection

Facial recognition and verification is a widely used biometric technolog...
07/10/2017 ∙ by Changyong Yu, et al. ∙ 0 ∙ share

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Quadruplet Network with One-Shot Learning for Visual Tracking

As a discriminative method of one-shot learning, Siamese deep network al...
05/19/2017 ∙ by Xingping Dong, et al. ∙ 0 ∙ share

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Deep Visual Attention Prediction

Deep Convolutional Neural Networks (CNNs) have made substantial improvem...
05/07/2017 ∙ by Wenguan Wang, et al. ∙ 0 ∙ share

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Supervised Deep Hashing for Hierarchical Labeled Data

Recently, hashing methods have been widely used in large-scale image ret...
04/07/2017 ∙ by Dan Wang, et al. ∙ 0 ∙ share

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Dual Teaching: A Practical Semi-supervised Wrapper Method

Semi-supervised wrapper methods are concerned with building effective su...
11/12/2016 ∙ by Fuqaing Liu, et al. ∙ 0 ∙ share

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Solving Large-scale Systems of Random Quadratic Equations via Stochastic Truncated Amplitude Flow

A novel approach termed stochastic truncated amplitude flow (STAF) is de...
10/29/2016 ∙ by Gang Wang, et al. ∙ 0 ∙ share

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Selective Video Object Cutout

Conventional video segmentation approaches rely heavily on appearance mo...
02/28/2017 ∙ by Wenguan Wang, et al. ∙ 0 ∙ share

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Super-Trajectory for Video Segmentation

We introduce a novel semi-supervised video segmentation approach based o...
02/28/2017 ∙ by Wenguan Wang, et al. ∙ 0 ∙ share

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Video Salient Object Detection via Fully Convolutional Networks

This paper proposes a deep learning model to efficiently detect salient ...
02/02/2017 ∙ by Wenguan Wang, et al. ∙ 0 ∙ share

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Statistical Pattern Recognition for Driving Styles Based on Bayesian Probability and Kernel Density Estimation

Driving styles have a great influence on vehicle fuel economy, active sa...
06/03/2016 ∙ by Wenshuo Wang, et al. ∙ 0 ∙ share

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A Rapid Pattern-Recognition Method for Driving Types Using Clustering-Based Support Vector Machines

A rapid pattern-recognition approach to characterize driver's curve-nego...
05/22/2016 ∙ by Wenshuo Wang, et al. ∙ 0 ∙ share

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Efficient phase retrieval based on dark fringe recognition with an ability of bypassing invalid fringes

This paper discusses the noisy phase retrieval problem: recovering a com...
12/14/2016 ∙ by Wen-Kai Yu, et al. ∙ 0 ∙ share

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Joint Network based Attention for Action Recognition

By extracting spatial and temporal characteristics in one network, the t...
11/16/2016 ∙ by Yemin Shi, et al. ∙ 0 ∙ share

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Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

Clustering is among the most fundamental tasks in computer vision and ma...
11/16/2016 ∙ by Zhuxi Jiang, et al. ∙ 0 ∙ share

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Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN

Learning the spatial-temporal representation of motion information is cr...
09/10/2016 ∙ by Yemin Shi, et al. ∙ 0 ∙ share

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Recognizing Car Fluents from Video

Physical fluents, a term originally used by Newton [40], refers to time-...
03/26/2016 ∙ by Bo Li, et al. ∙ 0 ∙ share

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Temporal Dynamic Appearance Modeling for Online Multi-Person Tracking

Robust online multi-person tracking requires the correct associations of...
10/10/2015 ∙ by Min Yang, et al. ∙ 0 ∙ share

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Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation

This paper presents a method for learning And-Or models to represent con...
01/29/2015 ∙ by Tianfu Wu, et al. ∙ 0 ∙ share

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Embedding of Hypercube into Cylinder

Task mapping in modern high performance parallel computers can be modele...
11/25/2015 ∙ by Weixing Ji, et al. ∙ 0 ∙ share

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Annotation and Detection of Emotion in Text-based Dialogue Systems with CNN

Knowledge of users' emotion states helps improve human-computer interact...
10/03/2017 ∙ by Jialiang Zhao, et al. ∙ 0 ∙ share

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Conceptualization Topic Modeling

Recently, topic modeling has been widely used to discover the abstract t...
04/07/2017 ∙ by Yi-Kun Tang, et al. ∙ 0 ∙ share

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Compressive Phase Retrieval via Reweighted Amplitude Flow

The problem of reconstructing a sparse signal vector from magnitude-only...
12/06/2017 ∙ by Liang Zhang, et al. ∙ 0 ∙ share

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Deep Stereo Matching with Explicit Cost Aggregation Sub-Architecture

Deep neural networks have shown excellent performance for stereo matchin...
01/12/2018 ∙ by Lidong Yu, et al. ∙ 0 ∙ share

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