b'Han Hu'

Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps

Deep learning has shown its power in many applications, including object...
01/12/2021 ∙ by Yujin Huang, et al. ∙ 0 ∙ share

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Global Context Networks

The Non-Local Network (NLNet) presents a pioneering approach for capturi...
12/24/2020 ∙ by Yue Cao, et al. ∙ 11 ∙ share

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Depth-Enhanced Feature Pyramid Network for Occlusion-Aware Verification of Buildings from Oblique Images

Detecting the changes of buildings in urban environments is essential. E...
11/26/2020 ∙ by Qing Zhu, et al. ∙ 20 ∙ share

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Energy-Efficient Task Offloading and Resource Allocation in Mobile Edge Computing with Sequential Task Dependency

In this paper, we investigate the computation task with its sub-tasks su...
11/25/2020 ∙ by Xuming An, et al. ∙ 0 ∙ share

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Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment

Photogrammetric mesh models obtained from aerial oblique images have bee...
11/23/2020 ∙ by Qing Zhu, et al. ∙ 0 ∙ share

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Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning

Contrastive learning methods for unsupervised visual representation lear...
11/19/2020 ∙ by Zhenda Xie, et al. ∙ 0 ∙ share

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RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder

Existing object detection frameworks are usually built on a single forma...
10/29/2020 ∙ by Cheng Chi, et al. ∙ 0 ∙ share

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RepPoints V2: Verification Meets Regression for Object Detection

Verification and regression are two general methodologies for prediction...
07/16/2020 ∙ by Yihong Chen, et al. ∙ 10 ∙ share

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Parametric Instance Classification for Unsupervised Visual Feature Learning

This paper presents parametric instance classification (PIC) for unsuper...
06/25/2020 ∙ by Yue Cao, et al. ∙ 19 ∙ share

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Disentangled Non-Local Neural Networks

The non-local block is a popular module for strengthening the context mo...
06/11/2020 ∙ by Minghao Yin, et al. ∙ 0 ∙ share

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Ontology-based Interpretable Machine Learning for Textual Data

In this paper, we introduce a novel interpreting framework that learns a...
04/01/2020 ∙ by Phung Lai, et al. ∙ 0 ∙ share

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Memory Enhanced Global-Local Aggregation for Video Object Detection

How do humans recognize an object in a piece of video? Due to the deteri...
03/26/2020 ∙ by Yihong Chen, et al. ∙ 4 ∙ share

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Negative Margin Matters: Understanding Margin in Few-shot Classification

This paper introduces a negative margin loss to metric learning based fe...
03/26/2020 ∙ by Bin Liu, et al. ∙ 5 ∙ share

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Leveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D Reconstruction

Integration of aerial and ground images has been proved as an efficient ...
02/21/2020 ∙ by Qing Zhu, et al. ∙ 0 ∙ share

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Fast and Regularized Reconstruction of Building Façades from Street-View Images using Binary Integer Programming

Regularized arrangement of primitives on building façades to aligned loc...
02/20/2020 ∙ by Han Hu, et al. ∙ 0 ∙ share

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Deep Fusion of Local and Non-Local Features for Precision Landslide Recognition

Precision mapping of landslide inventory is crucial for hazard mitigatio...
02/20/2020 ∙ by Qing Zhu, et al. ∙ 0 ∙ share

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DeepRS: Deep-learning Based Network-Adaptive FEC for Real-Time Video Communications

This work proposes an innovative approach to handle packet loss in real-...
01/22/2020 ∙ by Sheng Cheng, et al. ∙ 0 ∙ share

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Dense RepPoints: Representing Visual Objects with Dense Point Sets

We present an object representation, called Dense RepPoints, for flexibl...
12/24/2019 ∙ by Ze Yang, et al. ∙ 8 ∙ share

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MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery

Accurately and efficiently extracting building footprints from a wide ra...
10/26/2019 ∙ by Qing Zhu, et al. ∙ 23 ∙ share

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XCMRC: Evaluating Cross-lingual Machine Reading Comprehension

We present XCMRC, the first public cross-lingual language understanding ...
08/15/2019 ∙ by Pengyuan Liu, et al. ∙ 0 ∙ share

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GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

The Non-Local Network (NLNet) presents a pioneering approach for capturi...
04/25/2019 ∙ by Yue Cao, et al. ∙ 0 ∙ share

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Local Relation Networks for Image Recognition

The convolution layer has been the dominant feature extractor in compute...
04/25/2019 ∙ by Han Hu, et al. ∙ 0 ∙ share

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RepPoints: Point Set Representation for Object Detection

Modern object detectors rely heavily on rectangular bounding boxes, such...
04/25/2019 ∙ by Ze Yang, et al. ∙ 0 ∙ share

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Spatial-Temporal Relation Networks for Multi-Object Tracking

Recent progress in multiple object tracking (MOT) has shown that a robus...
04/25/2019 ∙ by Jiarui Xu, et al. ∙ 0 ∙ share

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Preserving Differential Privacy in Adversarial Learning with Provable Robustness

In this paper, we aim to develop a novel mechanism to preserve different...
03/23/2019 ∙ by NhatHai Phan, et al. ∙ 0 ∙ share

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Deep Metric Transfer for Label Propagation with Limited Annotated Data

We study object recognition under the constraint that each object class ...
12/20/2018 ∙ by Bin Liu, et al. ∙ 12 ∙ share

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Deformable ConvNets v2: More Deformable, Better Results

The superior performance of Deformable Convolutional Networks arises fro...
11/27/2018 ∙ by Xizhou Zhu, et al. ∙ 0 ∙ share

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DeepQoE: A unified Framework for Learning to Predict Video QoE

Motivated by the prowess of deep learning (DL) based techniques in predi...
04/10/2018 ∙ by Huaizheng Zhang, et al. ∙ 0 ∙ share

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Learning Region Features for Object Detection

While most steps in the modern object detection methods are learnable, t...
03/19/2018 ∙ by Jiayuan Gu, et al. ∙ 0 ∙ share

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Relation Networks for Object Detection

Although it is well believed for years that modeling relations between o...
11/30/2017 ∙ by Han Hu, et al. ∙ 0 ∙ share

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Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

In this paper, we focus on developing a novel mechanism to preserve diff...
09/18/2017 ∙ by NhatHai Phan, et al. ∙ 0 ∙ share

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WordSup: Exploiting Word Annotations for Character based Text Detection

Imagery texts are usually organized as a hierarchy of several visual ele...
08/22/2017 ∙ by Han Hu, et al. ∙ 0 ∙ share

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Deformable Convolutional Networks

Convolutional neural networks (CNNs) are inherently limited to model geo...
03/17/2017 ∙ by Jifeng Dai, et al. ∙ 0 ∙ share

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Power Data Classification: A Hybrid of a Novel Local Time Warping and LSTM

In this paper, for the purpose of data centre energy consumption monitor...
08/15/2016 ∙ by Yuanlong Li, et al. ∙ 0 ∙ share

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Han Hu

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