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.

Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop

We study the problem of balancing effectiveness and efficiency in automa...
10/02/2020 ∙ by Wei Fan, et al. ∙ 49 ∙ share

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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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PP-OCR: A Practical Ultra Lightweight OCR System

The Optical Character Recognition (OCR) systems have been widely used in...
09/21/2020 ∙ by Yuning Du, et al. ∙ 12 ∙ 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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Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement

Fine-tuning deep neural networks pre-trained on large scale datasets is ...
10/16/2020 ∙ by Xingjian Li, 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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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

This paper introduces the real image Super-Resolution (SR) challenge tha...
09/25/2020 ∙ by Pengxu Wei, et al. ∙ 7 ∙ 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 Xinxin Zuo, 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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MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation

End-to-end Speech-to-text Translation (E2E- ST), which directly translat...
10/22/2020 ∙ by Junkun Chen, 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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CrowdMove: Autonomous Mapless Navigation in Crowded Scenarios

Navigation is an essential capability for mobile robots. In this paper, ...
07/19/2018 ∙ by Tingxiang Fan, et al. ∙ 1 ∙ 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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