Publication

Weiyue Zhao, Hao Lu, Xinyi Ye, Zhiguo Cao, Xin Li, "Learning Probabilistic Coordinate Fields for Robust Correspondences", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 [PDF]

Weiyue Zhao+, Hao Lu+, Zhiguo Cao, Xin Li, "A2B: Anchor-to-Barycentric Coordinates for Feature Correspondence", International Journal of Computer Vision, 2023 [PDF]

Haipeng Xiong+, Hao Lu+, Chengxin Liu, Liang Liu, Chunhua Shen, Zhiguo Cao, "From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting", International Journal of Computer Vision, 2023 [PDF|Code]

Hongtao Fu+, Wenze Liu+, Yuliang Liu, Zhiguo Cao, Hao Lu*, "SIEERA: A robust bilateral feature upsampler for dense prediction", Computer Vision and Image Understanding, 2023 [PDF]

Wenze Liu, Hao Lu*, Hongtao Fu, Zhiguo Cao, "Learning to Upsample by Learning to Sample",  IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Chengxin Liu, Hao Lu, Zhiguo Cao, Tongliang Liu, "Point-Query Quadtree for Crowd Counting, Localization, and More", IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Weiyue Zhao, Xin Li, Zhan Peng, Xianrui Luo, Xinyi Ye, Hao Lu, Zhiguo Cao, "Fast Full-frame Video Stabilization with Iterative Optimization", IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Mingxin Huang, Jiaxin Zhang, Dezhi Peng, Yuliang Liu, Hao Lu, Can Huang, Xiang Bai, Lianwen Jin, "ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer", IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Zixuan Ye, Yutong Dai, Chaoyi Hong, Zhiguo Cao, Hao Lu*, "Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting", AAAI Conference on Artificial Intelligence (AAAI), 2023 [PDF|Code]

Xinyi Ye, Weiyue Zhao, Hao Lu, Zhiguo Cao, "Learning Second-Order Attentive Context for Efficient Correspondence Pruning", AAAI Conference on Artificial Intelligence (AAAI), 2023 [PDF]

Zhiyu Pan, Yinpeng Chen, Jiale Zhang, Hao Lu, Zhiguo Cao, Weicai Zhong, "Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression", AAAI Conference on Artificial Intelligence (AAAI), 2023 [PDF]

Yinglun Li, Xiaohai Zhan, Shouyang Liu*, Hao Lu*, Ruibo Jiang, Wei Guo, Scott Chapman, Yufeng Ge, Benoit de Solan, Yanfeng Ding, Frédéric Baret, "Self-Supervised Plant Phenotyping by Combining Domain Adaptation with 3D Plant Model Simulations: Application to Wheat Leaf Counting at Seedling Stage", Plant Phenomics, 2023 [PDF]

Yangmingrui Gao, Yinglun Li, Ruibo Jiang, Xiaohai Zhan, Hao Lu, Wei Guo, Wanneng Yang, Yanfeng Ding, Shouyang Liu, "Enhancing green fraction estimation in rice and wheat crops: a self-supervised deep learning semantic segmentation approach", Plant Phenomics, 2023 [PDF]

Xiaodong Bai, Pichao Liu, Zhiguo Cao, Hao Lu, Haipeng Xiong, Aiping Yang, Zhe Cai, Jianjun Wang, Jianguo Yao, "Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images", Plant Phenomics, 2023 [PDF]

Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu, "Index Networks", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 [PDF|Code]

Hao Lu, Liang Liu, Hu Wang, Zhiguo Cao, "Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective", IEEE Transactions on Neural Networks and Learning Systems, 2022. [PDF|Code]

Hao Lu, Liang Liu, Ya-Nan Li, Xiao-Ming Zhao, Xi-Qing Wang, Zhi-Guo Cao, "TasselNetV3: Explainable Plant Counting With Guided Upsampling and Background Suppression", IEEE Transactions on Geoscience and Remote Sensing, 2022 [PDF|Dataset]

Hao Lu, Wenze Liu, Zixuan Ye, Hongtao Fu, Zhiguo Cao, "SAPA: Similarity-Aware Point Affiliation for Feature Upsampling", Annual Conference on Neural Information Processing Systems (NeurIPS), 2022, Spotlight [PDF|Code]

Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao, "FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling", European Conference on Computer Vision (ECCV), 2022 [PDF|Poster|Code]

Yizheng Wu, Min Shi, Shuaiyuan Du, Hao Lu, Zhiguo Cao, Weicai Zhong, ''3D Instances as 1D Kernels", European Conference on Computer Vision (ECCV), 2022 [PDF|Code]

Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang, "Robust Object Detection With Inaccurate Bounding Boxes", European Conference on Computer Vision (ECCV), 2022 [PDF|Code]

Juewen Peng, Zhiguo Cao, Xianrui Luo, Hao Lu, Ke Xian, Jianming Zhang, "MPIB: an MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects", European Conference on Computer Vision (ECCV), 2022 [PDF|Project Page|Code]

Juewen Peng, Zhiguo Cao, Xianrui Luo, Hao Lu, Ke Xian, Jianming Zhang, "BokehMe: When Neural Rendering Meets Classical Rendering", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, Oral [PDF|Project Page|Code]

Min Shi, Hao Lu, Chen Feng, Chengxin Liu, Zhiguo Cao, "Represent, Compare, and Learn: A Similarity-Based Framework for Class-Agnostic Counting", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 [PDF|Code]

Zijin Wu, Xingyi Li, Juewen Peng, Hao Lu, Zhiguo Cao, Weicai Zhong, "DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields", ACM Conference on Multimedia, 2022 [PDF]

Yinpeng Chen, Zhiyu Pan, Min Shi, Hao Lu*, Zhiguo Cao, Weicai Zhong, "Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels", ACM Conference on Multimedia, 2022 [PDF]

Liang Liu, Zhiguo Cao, Hao Lu*, Haipeng Xiong, Chunhua Shen, "NSSNet: Scale-Aware Object Counting With Non-Scale Suppression", IEEE Transactions on Intelligent Transportation Systems, 2022 [PDF|Code]

Xianrui Luo, Juewen Peng, Weiyue Zhao, Ke Xian, Hao Lu, Zhiguo Cao, "Point-and-Shoot All-in-Focus Photo Synthesis from Smartphone Camera Pair", IEEE Transactions on Circuits and Systems for Video Technology, 2022 [PDF]

Chengxin Liu, Shuaiyuan Du, Hao Lu, Dehui Li, Zhiguo Cao, "Multi-Spectral Semantic Land Cover Segmentation From Aerial Imagery With Deep Encoder-Decoder Network", IEEE Geoscience and Remote Sensing Letters, 2022 [PDF]

Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, "Dynamic Color Transform Networks for Wheat Head Detection", Plant Phenomics, 2022 [PDF]

Min Shi, Shuaisong Zhang, Hao Lu, Xiaoming Zhao, Xiqing Wang, Zhiguo Cao, "Phenotyping multiple maize ear traits from a single image: kernels per ear, rows per ear, and kernels per row", Computers and Electronics in Agriculture, 2022 [PDF]

Min Shi, Xingyi Li, Hao Lu, Zhiguo Cao, "Background-aware Domain Adaptation for Plant Counting", Frontiers in Plant Science, 2022 [PDF]

Yinpeng Chen, Jiale Zhang, Zhiguo Cao, Hao Lu, Weicai Zhong, "HyProGan: Breaking the Dimensional Wall From Human to Anime", IEEE International Conference on Image Processing (ICIP), 2022

Zhiyu Pan, Zhiguo Cao, Ke Xian, Hao Lu, Weicai Zhong, "Discriminate Clearer To Rank Better: Image Cropping By Amplifying View-Wise Differences", IEEE International Conference on Image Processing (ICIP), 2022

Angfan Zhu, Hao Lu, Zhiguo Cao, "Video stabilization based on image registration", Journal of Electronic Imaging, 2022 [PDF]

Yutong Dai+, Hao Lu+, Chunhua Shen, "Learning Affinity-Aware Upsampling for Deep Image Matting", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [PDF][Code]

Zhiyu Pan, Zhiguo Cao, Kewei Wang, Hao Lu*, Weicai Zhong, "TransView: Inside, Outside, and Across the Cropping View Boundraries", IEEE/CVF International Conference on Computer Vision (ICCV), 2021 [PDF]

Chaoyi Hong, Shuaiyuan Du, Ke Xian, Hao Lu, Zhiguo Cao, Weicai Zhong, "Composing Photos Like a Photographer", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [PDF]

Jian Cheng+, Haipeng Xiong+, Zhiguo Cao, Hao Lu*, "Decoupled Two-Stage Crowd Counting and Beyond", IEEE Transactions on Image Processing, 2021 [PDF][Code]

Yutong Xie, Jianpeng Zhang, Hao Lu, Chunhua Shen, Yong Xia, "SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors", IEEE Transactions on Medical Imaging, 2021 [PDF]

Yutong Dai, Hao Lu, Chunhua Shen, "Towards Light-Weight Portrait Matting via Parameter Sharing", Computer Graphics Forum, 2021 [PDF]

Tianpei Lian, Zhiguo Cao, Hao Lu, Zijin Wu, Weicai Zhong, "Image Cropping Assisted by Modeling Inter-Patch Relations", IEEE International Conference on Image Processing (ICIP), 2021 [PDF]

Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, "Dynamic Color Transform for Wheat Head Detection", IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021 [PDF]

Dehui Li, Zhiguo Cao, Ke Xian, Xinyuan Qi, Chao Zhang, Hao Lu, "Multi-Direction Convolution for Semantic Segmentation", In Proceedings of International Conference on Pattern Recognition (ICPR), 2021 [PDF]

Ke Xian, Juewen Peng, Chao Zhang, Hao Lu, Zhiguo Cao, "Ranking-Based Salient Object Detection and Depth Prediction for Shallow Depth-of-Field", Sensors, 2021 [PDF]

Zhiyu Pan, Ke Xian, Hao Lu, Zhiguo Cao, "Robust Image Cropping by Filtering Composition Irrelevant Factors", In Proceedings of International Conference on Image and Graphics (ICIG), 2021 [PDF]

Liang Liu+, Hao Lu+, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen, "Weighing Counts: Sequential Crowd Counting by Reinforcement Learning", In Proceedings of European Conference on Computer Vision (ECCV), 2020 [PDF|Code]

Liang Liu+, Hao Lu+, Haipeng Xiong, Ke Xian, Zhiguo Cao, Chunhua Shen, "Counting Objects by Blockwise Classification", IEEE Transactions on Circuits and Systems for Video Technology, 2020 [PDF]

Hao Lu, Zhiguo Cao, "TasselNetV2+: A Fast Implementation for High-Throughput Plant Counting from High-Resolution Imagery", Frontiers in Plant Science, 2020 [PDF][Code]

Hongwei Zou+, Hao Lu+, Yanan Li, Liang Liu, Zhiguo Cao, "Maize tassels detection: a benchmark of the state of the art", Plant Methods, 2020 [PDF|Dataset]

Yanan Li, Zhiguo Cao, Hao Lu*, Wenxia Xu, "Unsupervised domain adaptation for in-field cotton boll status identification", Computers and Electronics in Agriculture, 2020 [PDF]

Liang Liu, Hao Lu, Yanan Li, Zhiguo Cao, "High-Throughput Rice Density Estimation from Transplantation to Tillering Stages Using Deep Networks", Plant Phenomics, 2020 [PDF]

Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu, "Indices Matter: Learning to Index for Deep Image Matting", In Proceedings of IEEE/CVF International Conference on Computer Vision (ICCV), 2019 [PDF|Code]

Haipeng Xiong+, Hao Lu+, Chengxin Liu, Liang Liu, Zhiguo Cao, Chunhua Shen, "From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer", , In Proceedings of IEEE/CVF International Conference on Computer Vision (ICCV), 2019 [PDF|Code]

Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia, "Deep Segmentation-Emendation Model for Gland Instance Segmentation", In Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019 [PDF]

Haipeng Xiong, Zhiguo Cao, Hao Lu*, Simon Madec, Liang Liu, Chunhua Shen, "TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks", Plant Methods, 2019 [PDF|Code]

Simon Madec, Xiuliang Jin, Hao Lu, Benoit De Solan, Shouyang Liu, Florent Duyme, Emmanuelle Heritier, Frédéric Baret, "Ear density estimation from high resolution RGB imagery using deep learning technique", Agricultural and Forest Meteorology, 2019 [PDF|Dataset]

Lei Zhang, Peng Wang, Wei Wei, Hao Lu, Chunhua Shen, Anton van den Hengel, Yanning Zhang, "Unsupervised Domain Adaptation Using Robust Class-Wise Matching", IEEE Transactions on Circuits and Systems for Video Technology, 2019 [PDF]

Hao Lu, Chunhua Shen, Zhiguo Cao, Yang Xiao, Anton van den Hengel, "An Embarrassingly Simple Approach to Visual Domain Adaptation", IEEE Transactions on Image Processing, 2018 [PDF|Code]

Hao Lu, Zhiguo Cao, Yang Xiao, Zhiwen Fang, Yanjun Zhu, "Toward Good Practices for Fine-Grained Maize Cultivar Identification With Filter-Specific Convolutional Activations", IEEE Transactions on Automation Science and Engineering, 2018 [PDF|Project Page]

Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Yang Xiao, Ruibo Li, Zhenbo Luo, "Monocular Relative Depth Perception with Web Stereo Data Supervision", In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [PDF|Project Page]

Ruibo Li, Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, and Lingxiao Hang, "Deep Attention-based Classification Network for Robust Depth Prediction", In Proceedings of Asia Conference on Computer Vision (ACCV), 2018 [ORAL] [PDF]

Liang Liu+, Hao Lu+, Zhiguo Cao, Yang Xiao, "Counting fish in sonar images", In Proceedings of IEEE International Conference on Image Processing (ICIP), 2018 [PDF]

Hao Lu, Zhiguo Cao, Yang Xiao, Bohan Zhuang, Chunhua Shen, "TasselNet: counting maize tassels in the wild via local counts regression networks", Plant Methods, 2017 [PDF|Dataset]

Hao Lu+, Lei Zhang+, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel, "When Unsupervised Domain Adaptation Meets Tensor Representations", In Proceedings of IEEE International Conference on Computer Vision (ICCV), 2017 [PDF|Code]

Hao Lu, Zhiguo Cao, Yang Xiao, Yanjun Zhu, "Two-dimensional subspace alignment for convolutional activations adaptation", Pattern Recognition, 2017 [PDF|Project Page]

Hao Lu, Zhiguo Cao, Yang Xiao, Zhiwen Fang, Yanjun Zhu, "Towards fine-grained maize tassel flowering status recognition: Dataset, theory, and practice", Applied Soft Computing, 2017 [PDF|Project Page]

Zhiwen Fang, Zhiguo Cao, Yang Xiao, Hao Lu, "Refine BING using effective cascaded ranking", Applied Soft Computing, 2017 [PDF|Code]

Yanjun Zhu, Zhiguo Cao, Hao Lu, Yanan Li, Yang Xiao, "In-field automatic observation of wheat heading stage using computer vision", Biosystems Engineering, 2016 [EurAgEng Outstanding Paper Award] [PDF]

Hao Lu, Zhiguo Cao, Yang Xiao, Yanan Li, Yanjun Zhu, "Region-based colour modelling for joint crop and maize tassel segmentation", Biosystems Engineering, 2016 [PDF|Project Page|Dataset]

Hao Lu, Zhiguo Cao, Yang Xiao, Zhiwen Fang, Yanjun Zhu, "Fine-grained maize cultivar identification using filter-specific convolutional activations", In Proceedings of IEEE International Conference on Image Processing (ICIP), 2016 [PDF|Project Page|Poster]

Yanan Li, Zhiguo Cao, Hao Lu, Yang Xiao, Yanjun Zhu, Armin B. Cremers, "In-field cotton detection via region-based semantic image segmentation", Computers and Electronics in Agriculture, 2016 [PDF|Project Page]

Hao Lu, Zhiguo Cao, Yang Xiao, Zhiwen Fang, Yanjun Zhu, Ke Xian, "Fine-grained maize tassel trait characterization with multi-view representations", Computers and Electronics in Agriculture, 2015 [PDF|Project Page]

Hao Lu, Zhiguo Cao, Yang Xiao, Yanan Li, Yanjun Zhu, "Joint crop and tassel segmentation in the wild", In Proceedings of Chinese Automation Congress (CAC), 2015 [ORAL] [PDF|Project Page|Slides]

Yanan Li, Zhiguo Cao, Yang Xiao, Hao Lu, Yanjun Zhu, "A novel denoising autoencoder assisted segmentation algorithm for cotton field", In Proceedings of Chinese Automation Congress (CAC), 2015 [PDF]

Chunhua Deng, Zhiguo Cao, Yang Xiao, Hao Lu, Ke Xian, Yin Chen, "Exploiting attribute dependency for attribute assignment in crowded scenes", IEEE Signal Processing Letters, 2016 [PDF]

Xiaokang Xie, Zhiguo Cao, Yang Xiao, Mengyu Zhu, Hao Lu, "Blurred image recognition using domain adaptation", In Proceedings of IEEE International Conference on Image Processing (ICIP), 2015 [PDF]