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Group Whitening: Balancing Learning Efficiency and Representational Capacity

Sep 28, 2020
Lei Huang, Li Liu, Fan Zhu, Ling Shao

* V1: rejected by NeurIPS 2020. The main issue is that Assumption 1 not rigorous, thus the analysis based on which. Code available at: https://github.com/huangleiBuaa/GroupWhitening 

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Normalization Techniques in Training DNNs: Methodology, Analysis and Application

Sep 27, 2020
Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

* 20 pages 

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Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition

Jun 20, 2020
Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao


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Improved Residual Networks for Image and Video Recognition

Apr 10, 2020
Ionut Cosmin Duta, Li Liu, Fan Zhu, Ling Shao


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Controllable Orthogonalization in Training DNNs

Apr 02, 2020
Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao

* Accepted to CVPR 2020. The Code is available at https://github.com/huangleiBuaa/ONI 

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An Investigation into the Stochasticity of Batch Whitening

Mar 27, 2020
Lei Huang, Lei Zhao, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

* Accepted to CVPR 2020. The Code is available at https://github.com/huangleiBuaa/StochasticityBW 

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Auto-Encoding Twin-Bottleneck Hashing

Mar 16, 2020
Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao

* CVPR 2020 Accepted, Code at https://github.com/ymcidence/TBH 

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Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs

Mar 11, 2020
Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao

* The code is available at: https://github.com/huangleiBuaa/LayerwiseCA 

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Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis

Feb 25, 2020
Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao

* The code is available at: https://github.com/huangleiBuaa/LayerwiseCA 

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DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images

Dec 10, 2019
Yi Zhou, Boyang Wang, Xiaodong He, Shanshan Cui, Fan Zhu, Li Liu, Ling Shao

* Extension work of our MICCAI paper 

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Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent

Sep 16, 2019
Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao

* 14 pages 

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RANet: Ranking Attention Network for Fast Video Object Segmentation

Sep 08, 2019
Ziqin Wang, Jun Xu, Li Liu, Fan Zhu, Ling Shao

* Accepted by ICCV 2019. 10 pages, 7 figures, 6 tables. The supplementary file can be found at https://csjunxu.github.io/paper/2019ICCV/RANet_supp.pdf ; Code is available at https://github.com/Storife/RANet 

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Embarrassingly Simple Binary Representation Learning

Aug 26, 2019
Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu

* ICCV 2019 CEFRL4 Workshop 

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NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising

Aug 04, 2019
Yingkun Hou, Jun Xu, Guanghai Liu, Li Liu, Fan Zhu, Ling Shao

* 12 pages, 8 figures, 8 tables 

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Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image

Jul 04, 2019
Jun Xu, Yuan Huang, Li Liu, Fan Zhu, Xingsong Hou, Ling Shao

* 13 pages, 7 figures, 8 tables 

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STAR: A Structure and Texture Aware Retinex Model

Jun 30, 2019
Jun Xu, Mengyang Yu, Li Liu, Fan Zhu, Dongwei Ren, Yingkun Hou, Haoqian Wang, Ling Shao

* 12 pages, 10 figures 

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Towards Document Image Quality Assessment: A Text Line Based Framework and A Synthetic Text Line Image Dataset

Jun 05, 2019
Hongyu Li, Fan Zhu, Junhua Qiu


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iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images

May 30, 2019
Syed Waqas Zamir, Aditya Arora, Akshita Gupta, Salman Khan, Guolei Sun, Fahad Shahbaz Khan, Fan Zhu, Ling Shao, Gui-Song Xia, Xiang Bai

* CVPR'19 Workshops (Detecting Objects in Aerial Images) 

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Dynamically Visual Disambiguation of Keyword-based Image Search

May 27, 2019
Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, Ling Shao

* Accepted by International Joint Conference on Artificial Intelligence (IJCAI), 2019 

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Iterative Normalization: Beyond Standardization towards Efficient Whitening

Apr 06, 2019
Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao

* Accepted to CVPR 2019. The Code is available at https://github.com/huangleiBuaa/IterNorm 

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Highly-Economized Multi-View Binary Compression for Scalable Image Clustering

Sep 17, 2018
Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen

* European Conference on Computer Vision (ECCV) 2018 

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Baidu Apollo Auto-Calibration System - An Industry-Level Data-Driven and Learning based Vehicle Longitude Dynamic Calibrating Algorithm

Aug 30, 2018
Fan Zhu, Lin Ma, Xin Xu, Dingfeng Guo, Xiao Cui, Qi Kong


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Baidu Apollo EM Motion Planner

Jul 20, 2018
Haoyang Fan, Fan Zhu, Changchun Liu, Liangliang Zhang, Li Zhuang, Dong Li, Weicheng Zhu, Jiangtao Hu, Hongye Li, Qi Kong


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