Hao Lu's Homepage

  Hao Lu  陆 昊

Ph.D., Associate Professor

School of Artificial Intelligence and Automation

Huazhong University of Science and Technology

Wuhan 430074, China

E-mail:     hlu@hust.edu.cn           Google Scholar          GitHub

About Me

I am currently Associate Professor with Huazhong University of Science and Technology.

I was Senior Research Associate with School of Computer Science, The University of Adelaide, under the supervision of Prof. Chunhua Shen. I received my Ph.D. degree from the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, China, supervised by Prof. Zhiguo Cao

My research interests include computer vision and machine learning. I am currently working on visual dense prediction problems, a broad range of tasks that deal with per-pixel labeling such as image matting, object counting, semantic segmentation, object detection, and depth estimation. I am particularly interested in developing simple yet effective solutions to problems in reality from deep, novel insights.

News

Education

Huazhong University of Science and Technology, China                                          Sep. 2013 - Jun. 2018

Ph.D. in Control Science and Engineering

Recipient of the Graduate National Scholarship


The University of Adelaide, Australia Centre for Visual Technologies                      Aug. 2016 - Sep. 2017

Visiting Student, Co-supervised by Prof. Chunhua Shen


China University of Geosciences (Wuhan), China                                                      Sep. 2009 - Jun. 2013

B.S., Technique and Instrumentation of Measurements

Recipient of the National Scholarship

Selected Publications

My full publication list can be found here. + equal contribution; * corresponding author.

Index Networks

Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

PDF          Code

From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting

Haipeng Xiong+, Hao Lu+, Chengxin Liu, Liang Liu, Chunhua Shen, Zhiguo Cao

International Journal of Computer Vision, 2023

PDF          Code

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling

Hao Lu, Wenze Liu, Zixuan Ye, Hongtao Fu, Yuliang Liu, Zhiguo Cao

Annual Conference on Neural Information Processing Systems (NeurIPS), 2022

PDF          Code

FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling

Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao

European Conference on Computer Vision (ECCV), 2022

PDF          Code

Learning Affinity-Aware Upsampling for Deep Image Matting

Yutong Dai+, Hao Lu+, Chunhua Shen

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

PDF          Code

Indices Matter: Learning to Index for Deep Image Matting

Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu

International Conference on Computer Vision (ICCV), 2019

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Counting Crowd by Weighing Counts:A Sequential Decision-Making Perspective

Hao Lu, Liang Liu, Hu Wang, Zhiguo Cao

IEEE Transactions on Neural Networks and Learning Systems, 2022

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Weighing Counts: Sequential Crowd Counting by Reinforcement Learning

Liang Liu+, Hao Lu+, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen

European Conference on Computer Vision (ECCV), 2020

PDF          Code

Decoupled Two-Stage Crowd Counting and Beyond

Jian Cheng, Haipeng Xiong, Zhiguo Cao, Hao Lu*

IEEE Transactions on Image Processing, 2021

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TasselNetV3: Explainable Plant Counting With Guided Upsampling and Background Suppression

Hao Lu, Liang Liu, Ya-Nan Li, Xiao-Ming Zhao, Xi-Qing Wang, Zhi-Guo Cao

IEEE Transactions on Geoscience and Remote Sensing, 2022

PDF          Dataset

NSSNet: Scale-Aware Object Counting With Non-Scale Suppression

Liang Liu, Zhiguo Cao, Hao Lu*, Haipeng Xiong, Chunhua Shen

IEEE Transactions on Intelligent Transportation Systems, 2020

PDF          Code

From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer

Haipeng Xiong+, Hao Lu+, Chengxin Liu, Liang Liu, Zhiguo Cao, Chunhua Shen 

+ Equal contribution

International Conference on Computer Vision (ICCV), 2019

PDF          Code

An Embarrassingly Simple Approach to Visual Domain Adaptation

Hao Lu, Chunhua Shen, Zhiguo Cao, Yang Xiao, Anton van den Hengel

IEEE Transactions on Image Processing, 2018

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Monocular Relative Depth Perception with Web Stereo Data Supervision

Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Yang Xiao, Ruibo Li, Zhenbo Luo

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

PDF          Project Page

Toward Good Practices for Fine-Grained Maize Cultivar Identification With Filter-Specific Convolutional Activations

Hao Lu, Zhiguo Cao, Yang Xiao, Zhiwen Fang, Yanjun Zhu

IEEE Transactions on Automation Science and Engineering, 2018

PDF          Project Page

When Unsupervised Domain Adaptation Meets Tensor Representations

Hao Lu+, Lei Zhang+, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel

International Conference on Computer Vision (ICCV), 2017

PDF          Code

Two-dimensional subspace alignment for convolutional activations adaptation

Hao Lu, Zhiguo Cao, Yang Xiao, Yanjun Zhu

Pattern Recognition, 2017

PDF          Project Page

TasselNet: counting maize tassels in the wild via local counts regression networks

Hao Lu, Zhiguo Cao, Yang Xiao, Bohan Zhuang, Chunhua Shen

Plant Methods, 2017

PDF          Dataset

In-field automatic observation of wheat heading stage  using computer vision

Yanjun Zhu, Zhiguo Cao, Hao Lu, Yanan Li, Yang Xiao

Biosystems Engineering, 2016 

EurAgEng Outstanding Paper Award

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Academic Service

Journal Editor

Associate Editor of Plant Phenomics Journal

Guest Editor of Frontiers in Plant Science Journal

Conference Committee

Excutive Area Chair of VALSE

Area Chair of PRCV 2023

Journal Reviewer

IEEE Transactions on Pattern Analysis and Machine Intelligence

International Journal of Computer Vision

IEEE Transactions on Image Processing

IEEE Transactions on Neural Networks and Learning Systems

IEEE Transactions on Circuits and Systems for Video Technology

IEEE Transactions on Cybernetics

Pattern Recognition

Computer Vision and Image Understanding

Plant Phenomics

Computers and Electronics in Agriculture

Biosystems Engineering

Geoscience and Remote Sensing Letters

Engineering Applications of Artificial Intelligence

...

Conference Reviewer

ICML 2024

ICLR 2024

NeurIPS 2023

ICCV 2023

CVPR 2024, CVPR2023, CVPR2022, CVPR2021, CVPR2020

ECCV 2022, ECCV 2024

ACM MM 2023

AAAI 2023

SIGGRAPH Asia 2020

WACV2021

ACCV2020

ICIP2020, ICIP2019

ICPR2018