Baidu, Inc.

∙ BEIJING , China ∙ 0 followers

Baidu, Inc. is a Chinese multinational technology company specializing in Internet-related services and products and artificial intelligence, headquartered in Beijing's Haidian District.

ACFNet: Attentional Class Feature Network for Semantic Segmentation

Recent works have made great progress in semantic segmentation by exploi...
09/20/2019 ∙ by Fan Zhang, et al. ∙ 42 ∙ share

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Advanced Variations of Two-Dimensional Principal Component Analysis for Face Recognition

The two-dimensional principal component analysis (2DPCA) has become one ...
12/19/2019 ∙ by Meixiang Zhao, et al. ∙ 42 ∙ share

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CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion

Depth Completion deals with the problem of converting a sparse depth map...
11/13/2019 ∙ by Xinjing Cheng, et al. ∙ 32 ∙ share

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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

This paper reviews the NTIRE 2020 challenge on real image denoising with...
05/08/2020 ∙ by Abdelrahman Abdelhamed, et al. ∙ 25 ∙ share

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Graph Analysis and Graph Pooling in the Spatial Domain

The spatial convolution layer which is widely used in the Graph Neural N...
10/03/2019 ∙ by Mostafa Rahmani, et al. ∙ 18 ∙ share

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Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks

In the era of multimedia and Internet, people are eager to obtain inform...
12/03/2019 ∙ by Jun Jia, et al. ∙ 17 ∙ share

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CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing

Face anti-spoofing is essential to prevent face recognition systems from...
08/28/2019 ∙ by Shifeng Zhang, et al. ∙ 15 ∙ share

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AGAN: Towards Automated Design of Generative Adversarial Networks

Recent progress in Generative Adversarial Networks (GANs) has shown prom...
06/25/2019 ∙ by Hanchao Wang, et al. ∙ 14 ∙ share

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Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition

Video Recognition has drawn great research interest and great progress h...
07/31/2019 ∙ by Wenhao Wu, et al. ∙ 14 ∙ share

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EATEN: Entity-aware Attention for Single Shot Visual Text Extraction

Extracting entity from images is a crucial part of many OCR applications...
09/20/2019 ∙ by He Guo, et al. ∙ 13 ∙ share

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Cross-modality Person re-identification with Shared-Specific Feature Transfer

Cross-modality person re-identification (cm-ReID) is a challenging but k...
02/28/2020 ∙ by Yan Lu, et al. ∙ 11 ∙ share

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ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph

We propose a knowledge-enhanced approach, ERNIE-ViL, to learn joint repr...
06/30/2020 ∙ by Fei Yu, et al. ∙ 10 ∙ 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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Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning

Most existing text reading benchmarks make it difficult to evaluate the ...
09/17/2019 ∙ by Yipeng Sun, et al. ∙ 8 ∙ share

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Cross-Task Transfer for Multimodal Aerial Scene Recognition

Aerial scene recognition is a fundamental task in remote sensing and has...
05/18/2020 ∙ by Di Hu, et al. ∙ 8 ∙ share

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ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Autonomous driving has attracted remarkable attention from both industry...
11/29/2018 ∙ by Xibin Song, et al. ∙ 6 ∙ share

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Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation

This paper presents a novel framework to recover detailed human body sha...
04/24/2019 ∙ by Hao Zhu, et al. ∙ 6 ∙ share

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Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction

In this paper, we consider the problem of open information extraction (O...
04/29/2019 ∙ by Mingming Sun, et al. ∙ 6 ∙ share

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Fast Universal Style Transfer for Artistic and Photorealistic Rendering

Universal style transfer is an image editing task that renders an input ...
07/06/2019 ∙ by Jie An, et al. ∙ 6 ∙ share

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Curriculum Audiovisual Learning

Associating sound and its producer in complex audiovisual scene is a cha...
01/26/2020 ∙ by Di Hu, et al. ∙ 6 ∙ share

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UGAN: Untraceable GAN for Multi-Domain Face Translation

The multi-domain image-to-image translation is received increasing atten...
07/26/2019 ∙ by Defa Zhu, et al. ∙ 5 ∙ share

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WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild

Pedestrian detection has achieved significant progress with the availabi...
09/25/2019 ∙ by Shifeng Zhang, et al. ∙ 5 ∙ share

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Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution

Despite the remarkable progresses made in deep-learning based depth map ...
06/02/2020 ∙ by Xibin Song, et al. ∙ 5 ∙ share

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Deep Bi-Dense Networks for Image Super-Resolution

This paper proposes Deep Bi-Dense Networks (DBDN) for single image super...
10/11/2018 ∙ by Yucheng Wang, et al. ∙ 4 ∙ share

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Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification

Many advances of deep learning techniques originate from the efforts of ...
11/02/2018 ∙ by Jia Li, et al. ∙ 4 ∙ share

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TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

To safely and efficiently navigate in complex urban traffic, autonomous ...
11/06/2018 ∙ by Yuexin Ma, et al. ∙ 4 ∙ share

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Consensus Feature Network for Scene Parsing

Scene parsing is challenging as it aims to assign one of the semantic ca...
07/29/2019 ∙ by Tianyi Wu, et al. ∙ 4 ∙ share

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Editing Text in the Wild

In this paper, we are interested in editing text in natural images, whic...
08/08/2019 ∙ by Liang Wu, et al. ∙ 4 ∙ share

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A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning

Detecting scene text of arbitrary shapes has been a challenging task ove...
08/15/2019 ∙ by Pengfei Wang, et al. ∙ 4 ∙ 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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Cancer Metastasis Detection With Neural Conditional Random Field

Breast cancer diagnosis often requires accurate detection of metastasis ...
06/19/2018 ∙ by Yi Li, et al. ∙ 2 ∙ share

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A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation

Confusing classes that are ubiquitous in real world often degrade perfor...
08/01/2018 ∙ by Qichuan Geng, et al. ∙ 2 ∙ share

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Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network

Depth estimation from a single image is a fundamental problem in compute...
08/01/2018 ∙ by Xinjing Cheng, et al. ∙ 2 ∙ share

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An End-to-end Video Text Detector with Online Tracking

Video text detection is considered as one of the most difficult tasks in...
08/20/2019 ∙ by Hongyuan Yu, et al. ∙ 2 ∙ share

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ODE-CNN: Omnidirectional Depth Extension Networks

Omnidirectional 360 camera proliferates rapidly for autonomous robots si...
07/03/2020 ∙ by Xinjing Cheng, et al. ∙ 2 ∙ share

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BMN: Boundary-Matching Network for Temporal Action Proposal Generation

Temporal action proposal generation is an challenging and promising task...
07/23/2019 ∙ by Tianwei Lin, et al. ∙ 1 ∙ share

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ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition

The ChaLearn large-scale gesture recognition challenge has been run twic...
07/29/2019 ∙ by Jun Wan, et al. ∙ 1 ∙ share

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Deep Speech: Scaling up end-to-end speech recognition

We present a state-of-the-art speech recognition system developed using ...
12/17/2014 ∙ by Awni Hannun, et al. ∙ 0 ∙ share

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Stochastic Gradient Made Stable: A Manifold Propagation Approach for Large-Scale Optimization

Stochastic gradient descent (SGD) holds as a classical method to build l...
06/28/2015 ∙ by Yadong Mu, et al. ∙ 0 ∙ share

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DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification

In this work, we present a fully automated lung CT cancer diagnosis syst...
09/16/2017 ∙ by Wentao Zhu, et al. ∙ 0 ∙ share

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Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information

With the rapid growth of knowledge bases (KBs) on the web, how to take f...
06/03/2016 ∙ by Yuanzhe Zhang, et al. ∙ 0 ∙ share

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Recruitment Market Trend Analysis with Sequential Latent Variable Models

Recruitment market analysis provides valuable understanding of industry-...
12/08/2017 ∙ by Chen Zhu, et al. ∙ 0 ∙ share

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Interactive Reinforcement Learning for Object Grounding via Self-Talking

Humans are able to identify a referred visual object in a complex scene ...
12/02/2017 ∙ by Yan Zhu, et al. ∙ 0 ∙ share

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Block-Sparse Recurrent Neural Networks

Recurrent Neural Networks (RNNs) are used in state-of-the-art models in ...
11/08/2017 ∙ by Sharan Narang, et al. ∙ 0 ∙ share

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Mixed Precision Training

Deep neural networks have enabled progress in a wide variety of applicat...
10/10/2017 ∙ by Paulius Micikevicius, et al. ∙ 0 ∙ share

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DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting

Predicting traffic conditions has been recently explored as a way to rel...
09/27/2017 ∙ by Xingyi Cheng, et al. ∙ 0 ∙ share

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Occlusion Aware Unsupervised Learning of Optical Flow

It has been recently shown that a convolutional neural network can learn...
11/16/2017 ∙ by Yang Wang, et al. ∙ 0 ∙ share

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Identifying Genetic Risk Factors via Sparse Group Lasso with Group Graph Structure

Genome-wide association studies (GWA studies or GWAS) investigate the re...
09/12/2017 ∙ by Tao Yang, et al. ∙ 0 ∙ share

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Functional Hashing for Compressing Neural Networks

As the complexity of deep neural networks (DNNs) trend to grow to absorb...
05/20/2016 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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Learning Multiscale Features Directly From Waveforms

Deep learning has dramatically improved the performance of speech recogn...
03/31/2016 ∙ by Zhenyao Zhu, et al. ∙ 0 ∙ share

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