Guiguang Ding

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Tsinghua University

Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans

The COVID-19 pandemic has spread globally for several months. Because it...
01/14/2021 ∙ by Xin He, et al. ∙ 0 ∙ share

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RepVGG: Making VGG-style ConvNets Great Again

We present a simple but powerful architecture of convolutional neural ne...
01/11/2021 ∙ by Xiaohan Ding, et al. ∙ 6 ∙ share

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Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation

Thanks to large-scale labeled training data, deep neural networks (DNNs)...
11/25/2020 ∙ by Sicheng Zhao, et al. ∙ 7 ∙ share

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Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization

Channel pruning (a.k.a. filter pruning) aims to slim down a convolutiona...
07/07/2020 ∙ by Xiaohan Ding, et al. ∙ 0 ∙ share

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Shallow Feature Based Dense Attention Network for Crowd Counting

While the performance of crowd counting via deep learning has been impro...
06/17/2020 ∙ by Yunqi Miao, et al. ∙ 0 ∙ share

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PANDA: A Gigapixel-level Human-centric Video Dataset

We present PANDA, the first gigaPixel-level humAN-centric viDeo dAtaset,...
03/10/2020 ∙ by Xueyang Wang, et al. ∙ 15 ∙ share

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IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval

Enabling bi-directional retrieval of images and texts is important for u...
03/08/2020 ∙ by Hui Chen, et al. ∙ 8 ∙ share

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Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification

In real-world scenarios, data tends to exhibit a long-tailed, imbalanced...
01/06/2020 ∙ by Liuyu Xiang, et al. ∙ 0 ∙ share

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Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

Deep Neural Network (DNN) is powerful but computationally expensive and ...
09/27/2019 ∙ by Xiaohan Ding, et al. ∙ 0 ∙ share

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PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression

Existing methods on visual emotion analysis mainly focus on coarse-grain...
09/11/2019 ∙ by Sicheng Zhao, et al. ∙ 4 ∙ share

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ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

As designing appropriate Convolutional Neural Network (CNN) architecture...
08/11/2019 ∙ by Xiaohan Ding, et al. ∙ 0 ∙ share

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GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition

The dominant approaches for named entity recognition (NER) mostly adopt ...
07/12/2019 ∙ by Hui Chen, et al. ∙ 0 ∙ share

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Incremental Few-Shot Learning for Pedestrian Attribute Recognition

Pedestrian attribute recognition has received increasing attention due t...
06/02/2019 ∙ by Liuyu Xiang, et al. ∙ 0 ∙ share

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Adaptive Region Embedding for Text Classification

Deep learning models such as convolutional neural networks and recurrent...
05/28/2019 ∙ by Liuyu Xiang, et al. ∙ 0 ∙ share

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Approximated Oracle Filter Pruning for Destructive CNN Width Optimization

It is not easy to design and run Convolutional Neural Networks (CNNs) du...
05/12/2019 ∙ by Xiaohan Ding, et al. ∙ 0 ∙ share

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Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure

The redundancy is widely recognized in Convolutional Neural Networks (CN...
04/08/2019 ∙ by Xiaohan Ding, et al. ∙ 0 ∙ share

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From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis

Robust object recognition systems usually rely on powerful feature extra...
05/04/2017 ∙ by Yang Long, et al. ∙ 0 ∙ share

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Guiguang Ding

Featured Co-authors

Ling Shao

Jian Sun

Ji Liu

Xin Liu

Li Liu

Kurt Keutzer

Xiangyu Zhang

Fumin Shen

Xiaowen Chu

Jungong Han

Pengfei Xu

Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans

RepVGG: Making VGG-style ConvNets Great Again

Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation

Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization

Shallow Feature Based Dense Attention Network for Crowd Counting

PANDA: A Gigapixel-level Human-centric Video Dataset

IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition

Incremental Few-Shot Learning for Pedestrian Attribute Recognition

Adaptive Region Embedding for Text Classification

Approximated Oracle Filter Pruning for Destructive CNN Width Optimization

Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure

From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis