Beijing Institute of Technology

research

∙ 01/05/2019

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...

Usman Ahmad, et al. ∙

research

∙ 02/04/2020

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...

Tong Liu, et al. ∙

research

∙ 01/23/2019

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...

Xin Wu, et al. ∙

research

∙ 05/24/2022

DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks

Deep learning is attracting interest across a variety of domains, includ...

Lu Bai, et al. ∙

research

∙ 02/18/2020

Assessing the Memory Ability of Recurrent Neural Networks

It is known that Recurrent Neural Networks (RNNs) can remember, in their...

Cheng Zhang, et al. ∙

research

∙ 03/20/2019

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

Recently, deep learning based 3D face reconstruction methods have shown ...

Yu Deng, et al. ∙

research

∙ 05/30/2022

CompleteDT: Point Cloud Completion with Dense Augment Inference Transformers

Point cloud completion task aims to predict the missing part of incomple...

Jun Li, et al. ∙

research

∙ 11/10/2021

A Structure Feature Algorithm for Multi-modal Forearm Registration

Augmented reality technology based on image registration is becoming inc...

Jiaxin Li, et al. ∙

research

∙ 02/15/2020

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 ...

Huaishao Luo, et al. ∙

research

∙ 08/16/2021

CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

Brain lesion segmentation provides a valuable tool for clinical diagnosi...

Xinru Zhang, et al. ∙

research

∙ 03/19/2021

Enhancing Robustness of On-line Learning Models on Highly Noisy Data

Classification algorithms have been widely adopted to detect anomalies f...

Zilong Zhao, et al. ∙

research

∙ 08/04/2021

Physics-based Noise Modeling for Extreme Low-light Photography

Enhancing the visibility in extreme low-light environments is a challeng...

Kaixuan Wei, et al. ∙

research

∙ 01/04/2022

Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification

Convolutional Neural Networks (CNN) are more suitable, indeed. However, ...

Muhammad Ahmad, et al. ∙

research

∙ 02/22/2022

A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles

The deep reinforcement learning-based energy management strategies (EMS)...

Jingyi Xu, et al. ∙

research

∙ 03/27/2022

Causality Inspired Representation Learning for Domain Generalization

Domain generalization (DG) is essentially an out-of-distribution problem...

Fangrui Lv, et al. ∙

research

∙ 04/19/2019

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

As an important problem in computer vision, salient object detection (SO...

Wenguan Wang, et al. ∙

research

∙ 06/08/2022

Blind Face Restoration: Benchmark Datasets and a Baseline Model

Blind Face Restoration (BFR) aims to construct a high-quality (HQ) face ...

Puyang Zhang, et al. ∙

research

∙ 12/06/2021

Incentive Compatible Pareto Alignment for Multi-Source Large Graphs

In this paper, we focus on learning effective entity matching models ove...

Jian Liang, et al. ∙

research

∙ 01/30/2022

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments

An efficient and reliable multi-agent decision-making system is highly d...

Qi Liu, et al. ∙

research

∙ 08/02/2022

Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation

Extensive studies on Unsupervised Domain Adaptation (UDA) have propelled...

Wenxuan Ma, et al. ∙

research

∙ 08/25/2018

A Novel Deep Neural Network Architecture for Mars Visual Navigation

In this paper, emerging deep learning techniques are leveraged to deal w...

Jiang Zhang, et al. ∙

research

∙ 05/24/2021

Multi-Level Attentive Convoluntional Neural Network for Crowd Counting

Recently the crowd counting has received more and more attention. Especi...

Mengxiao Tian, et al. ∙

research

∙ 10/15/2021

Pyramid Correlation based Deep Hough Voting for Visual Object Tracking

Most of the existing Siamese-based trackers treat tracking problem as a ...

Ying Wang, et al. ∙

research

∙ 08/15/2019

Domain-adversarial Network Alignment

Network alignment is a critical task to a wide variety of fields. Many e...

Huiting Hong, et al. ∙

research

∙ 07/22/2021

EAN: Event Adaptive Network for Enhanced Action Recognition

Efficiently modeling spatial-temporal information in videos is crucial f...

Yuan Tian, et al. ∙

research

∙ 10/13/2021

Exploring Dense Retrieval for Dialogue Response Selection

Recent research on dialogue response selection has been mainly focused o...

Tian Lan, et al. ∙

research

∙ 07/27/2022

Leveraging GAN Priors for Few-Shot Part Segmentation

Few-shot part segmentation aims to separate different parts of an object...

Mengya Han, et al. ∙

research

∙ 08/14/2018

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

Neural networks with ReLU activations have achieved great empirical succ...

Gang Wang, et al. ∙

research

∙ 09/10/2018

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

3D object reconstruction is a fundamental task of many robotics and AI p...

Hanqing Wang, et al. ∙

research

∙ 05/06/2019

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

Most of the existing recognition algorithms are proposed for closed set ...

Yu Shu, et al. ∙

research

∙ 12/02/2021

Active Learning for Domain Adaptation: An Energy-based Approach

Unsupervised domain adaptation has recently emerged as an effective para...

Binhui Xie, et al. ∙

research

∙ 05/24/2022

CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing

Recently, the compression and deployment of powerful deep neural network...

Zhiwei Hao, et al. ∙

research

∙ 05/29/2022

AutoDisc: Automatic Distillation Schedule for Large Language Model Compression

Driven by the teacher-student paradigm, knowledge distillation is one of...

Chen Zhang, et al. ∙

research

∙ 07/25/2022

Sparse-based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction

Retinal Optical Coherence Tomography Angiography (OCTA) with high-resolu...

Huaying Hao, et al. ∙

research

∙ 05/02/2021

SE-Harris and eSUSAN: Asynchronous Event-Based Corner Detection Using Megapixel Resolution CeleX-V Camera

Event cameras are novel neuromorphic vision sensors with ultrahigh tempo...

Jinjian Li, et al. ∙

research

∙ 01/08/2022

Weighted Encoding Optimization for Dynamic Single-pixel Imaging and Sensing

Using single-pixel detection, the end-to-end neural network that jointly...

Xinrui Zhan, et al. ∙

research

∙ 01/18/2022

Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSI

In an aerial hybrid massive multiple-input multiple-output (MIMO) and or...

Zhen Gao, et al. ∙

research

∙ 05/11/2022

Relational Triple Extraction: One Step is Enough

Extracting relational triples from unstructured text is an essential tas...

Yu-Ming Shang, et al. ∙

research

∙ 04/01/2019

Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements

Removing undesirable reflections from a single image captured through a ...

Kaixuan Wei, et al. ∙

research

∙ 08/11/2019

Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction

Compressed sensing based magnetic resonance imaging (CS-MRI) provides an...

Wenzhong Zhou, et al. ∙

research

∙ 12/09/2020

Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation

Acquiring sufficient ground-truth supervision to train deep visual model...

Xueyi Li, et al. ∙

research

∙ 08/02/2021

I2V-GAN: Unpaired Infrared-to-Visible Video Translation

Human vision is often adversely affected by complex environmental factor...

Shuang Li, et al. ∙

research

∙ 08/03/2019

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

Midterm stock price prediction is crucial for value investments in the s...

Xinyi Li, et al. ∙

research

∙ 04/17/2020

Self-Learning with Rectification Strategy for Human Parsing

In this paper, we solve the sample shortage problem in the human parsing...

Tao Li, et al. ∙

research

∙ 11/25/2021

Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation (UDA) aims to transfer knowledge from a l...

Wenxuan Ma, et al. ∙

research

∙ 04/26/2022

ROMA: Cross-Domain Region Similarity Matching for Unpaired Nighttime Infrared to Daytime Visible Video Translation

Infrared cameras are often utilized to enhance the night vision since th...

Zhenjie Yu, et al. ∙

research

∙ 06/28/2018

State-aware Anti-drift Robust Correlation Tracking

Correlation filter (CF) based trackers have aroused increasing attention...

Yuqi Han, et al. ∙

research

∙ 03/09/2020

Motion-Attentive Transition for Zero-Shot Video Object Segmentation

In this paper, we present a novel Motion-Attentive Transition Network (M...

Tianfei Zhou, et al. ∙

research

∙ 03/25/2020

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

Current popular online multi-object tracking (MOT) solutions apply singl...

Junbo Yin, et al. ∙

research

∙ 05/14/2020

Domain Conditioned Adaptation Network

Tremendous research efforts have been made to thrive deep domain adaptat...

Shuang Li, et al. ∙

Beijing Institute of Technology

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