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Diverse Branch Block: Building a Convolution as an Inception-like Unit


Mar 29, 2021
Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding

* CVPR 2021 

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Computational Emotion Analysis From Images: Recent Advances and Future Directions


Mar 19, 2021
Sicheng Zhao, Quanwei Huang, Youbao Tang, Xingxu Yao, Jufeng Yang, Guiguang Ding, Björn W. Schuller

* Accepted chapter in the book "Human Perception of Visual Information Psychological and Computational Perspective" 

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


Feb 12, 2021
Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding

* Accepted by AAAI 2021, COVID-19, Neural Architecture Search, AutoML 

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RepVGG: Making VGG-style ConvNets Great Again


Jan 11, 2021
Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun

* The code and trained models are available at https://github.com/megvii-model/RepVGG 

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


Nov 25, 2020
Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer


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


Jul 07, 2020
Xiaohan Ding, Tianxiang Hao, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding

* 9 pages, 7 figures 

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Shallow Feature Based Dense Attention Network for Crowd Counting


Jun 17, 2020
Yunqi Miao, Zijia Lin, Guiguang Ding, Jungong Han


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PANDA: A Gigapixel-level Human-centric Video Dataset


Mar 10, 2020
Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J Brady, Qionghai Dai, Lu Fang

* Accepted by IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2020 

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


Mar 08, 2020
Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han

* 9 pages; Accepted by CVPR2020 

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


Jan 06, 2020
Liuyu Xiang, Guiguang Ding


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Global Sparse Momentum SGD for Pruning Very Deep Neural Networks


Oct 25, 2019
Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu

* Accepted by NeurIPS 2019 

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


Sep 11, 2019
Sicheng Zhao, Zizhou Jia, Hui Chen, Leida Li, Guiguang Ding, Kurt Keutzer

* Accepted by ACM Multimedia 2019 

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


Aug 31, 2019
Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han

* Accepted to ICCV 2019 

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


Jul 19, 2019
Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Borje Karlsson

* This paper is accepted by AAAI 2019 

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Incremental Few-Shot Learning for Pedestrian Attribute Recognition


Jun 02, 2019
Liuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li

* IJCAI 2019 

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Adaptive Region Embedding for Text Classification


May 28, 2019
Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding

* AAAI 2019 

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Approximated Oracle Filter Pruning for Destructive CNN Width Optimization


May 12, 2019
Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan

* ICML 2019 

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Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure


Apr 08, 2019
Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han

* CVPR 2019 

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


May 04, 2017
Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han


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