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ORCIDHao Lu 0003
陆 昊
Person information
- unicode name: 陆 昊
- affiliation: University of Adelaide, Australia
- affiliation (former): Huazhong University of Science and Technology, National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, Wuhan, China
Other persons with the same name
- Hao Lu — disambiguation page
- Hao Lu 0001
![[0000-0001-8941-870X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8941-870X")
— Washington State University, Pullman, WA, USA - Hao Lu 0002 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- Hao Lu 0004 — Beijing Forestry University, School of Information Science and Technology, Beijing, China
- Hao Lu 0005 — Shandong Normal University, College of Physics and Electronics Science, Jinan, China
- Hao Lu 0006 — University of Notre Dame, Department of Electrical Engineering, Notre Dame, IN, USA
- Hao Lu 0007 — Army Engineering University of PLA, Nanjing, China
- Hao Lu 0008 — University of Science and Technology of China, Wireless Information Network Laboratory, Department of Electronic Engineering and Information Science, Hefei, China
- Hao Lu 0009 — Hong Kong University of Science and Technology, Hong Kong (and 1 more)
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2020 – today
- 2024
[j29]Hao Lu, Liang Liu, Hu Wang, Zhiguo Cao:
Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5141-5154 (2024)- [c41]Zhicheng Wang, Liwen Xiao, Zhiguo Cao, Hao Lu:
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting. AAAI 2024: 5832-5840 - [c40]He Guo, Zixuan Ye, Zhiguo Cao, Hao Lu:
In-Context Matting. CVPR 2024: 3711-3720 - [c39]Zixuan Ye, Wenze Liu, He Guo, Yujia Liang, Chaoyi Hong, Hao Lu, Zhiguo Cao:
Unifying Automatic and Interactive Matting with Pretrained ViTs. CVPR 2024: 25585-25594 - [c38]Yujia Liang, Zixuan Ye, Wenze Liu, Hao Lu:
SCAPE: A Simple and Strong Category-Agnostic Pose Estimator. ECCV (23) 2024: 478-494 - [i36]He Guo, Zixuan Ye, Zhiguo Cao, Hao Lu:
In-Context Matting. CoRR abs/2403.15789 (2024) - [i35]Yuliang Liu, Mingxin Huang, Hao Yan, Linger Deng, Weijia Wu, Hao Lu, Chunhua Shen, Lianwen Jin, Xiang Bai:
VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-domain Generalization. CoRR abs/2404.19652 (2024) - [i34]Yujia Liang, Zixuan Ye, Wenze Liu, Hao Lu:
SCAPE: A Simple and Strong Category-Agnostic Pose Estimator. CoRR abs/2407.13483 (2024) - [i33]Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao:
FADE: A Task-Agnostic Upsampling Operator for Encoder-Decoder Architectures. CoRR abs/2407.13500 (2024) - [i32]Wenze Liu, Zixuan Ye, Hao Lu, Zhiguo Cao, Xiangyu Yue:
Training Matting Models without Alpha Labels. CoRR abs/2408.10539 (2024) - 2023
- [j28]Hongtao Fu, Wenze Liu, Yuliang Liu, Zhiguo Cao, Hao Lu:
SIERRA: A robust bilateral feature upsampler for dense prediction. Comput. Vis. Image Underst. 235: 103762 (2023) - [j27]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. Int. J. Comput. Vis. 131(7): 1722-1740 (2023) - [j26]Weiyue Zhao, Hao Lu, Zhiguo Cao, Xin Li:
A2B: Anchor to Barycentric Coordinate for Robust Correspondence. Int. J. Comput. Vis. 131(10): 2582-2606 (2023) - [j25]Min Shi, Hao Lu, Zhao-Xin Li, Dengming Zhu, Zhao-Qi Wang:
Accurate Robotic Grasp Detection with Angular Label Smoothing. J. Comput. Sci. Technol. 38(5): 1149-1161 (2023) - [j24]Weiyue Zhao, Hao Lu, Xinyi Ye, Zhiguo Cao, Xin Li:
Learning Probabilistic Coordinate Fields for Robust Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12004-12021 (2023) - [j23]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 Trans. Circuits Syst. Video Technol. 33(5): 2088-2101 (2023) - [c37]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 2023: 2011-2019 - [c36]Xinyi Ye, Weiyue Zhao, Hao Lu, Zhiguo Cao:
Learning Second-Order Attentive Context for Efficient Correspondence Pruning. AAAI 2023: 3250-3258 - [c35]Zixuan Ye, Yutong Dai, Chaoyi Hong, Zhiguo Cao, Hao Lu:
Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting. AAAI 2023: 3259-3266 - [c34]Chengxin Liu, Hao Lu, Zhiguo Cao, Tongliang Liu:
Point-Query Quadtree for Crowd Counting, Localization, and More. ICCV 2023: 1676-1685 - [c33]Wenze Liu, Hao Lu, Hongtao Fu, Zhiguo Cao:
Learning to Upsample by Learning to Sample. ICCV 2023: 6004-6014 - [c32]Mingxin Huang, Jiaxin Zhang, Dezhi Peng, Hao Lu, Can Huang, Yuliang Liu, Xiang Bai, Lianwen Jin:
ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer. ICCV 2023: 19438-19448 - [c31]Weiyue Zhao, Xin Li, Zhan Peng, Xianrui Luo, Xinyi Ye, Hao Lu, Zhiguo Cao:
Fast Full-frame Video Stabilization with Iterative Optimization. ICCV 2023: 23477-23487 - [i31]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. CoRR abs/2302.08662 (2023) - [i30]Xinyi Ye, Weiyue Zhao, Hao Lu, Zhiguo Cao:
Learning Second-Order Attentive Context for Efficient Correspondence Pruning. CoRR abs/2303.15761 (2023) - [i29]Xianrui Luo, Juewen Peng, Weiyue Zhao, Ke Xian, Hao Lu, Zhiguo Cao:
Point-and-Shoot All-in-Focus Photo Synthesis from Smartphone Camera Pair. CoRR abs/2304.04917 (2023) - [i28]Zhicheng Wang, Liwen Xiao, Zhiguo Cao, Hao Lu:
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting. CoRR abs/2305.04440 (2023) - [i27]Weiyue Zhao, Hao Lu, Zhiguo Cao, Xin Li:
A2B: Anchor to Barycentric Coordinate for Robust Correspondence. CoRR abs/2306.02760 (2023) - [i26]Weiyue Zhao, Hao Lu, Xinyi Ye, Zhiguo Cao, Xin Li:
Learning Probabilistic Coordinate Fields for Robust Correspondences. CoRR abs/2306.04231 (2023) - [i25]Wenze Liu, Hao Lu, Yuliang Liu, Zhiguo Cao:
On Point Affiliation in Feature Upsampling. CoRR abs/2307.08198 (2023) - [i24]Wenze Liu, Hao Lu, Yuliang Liu, Zhiguo Cao:
Box-DETR: Understanding and Boxing Conditional Spatial Queries. CoRR abs/2307.08353 (2023) - [i23]Weiyue Zhao, Xin Li, Zhan Peng, Xianrui Luo, Xinyi Ye, Hao Lu, Zhiguo Cao:
Fast Full-frame Video Stabilization with Iterative Optimization. CoRR abs/2307.12774 (2023) - [i22]Mingxin Huang, Jiaxin Zhang, Dezhi Peng, Hao Lu, Can Huang, Yuliang Liu, Xiang Bai, Lianwen Jin:
ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer. CoRR abs/2308.10147 (2023) - [i21]Chengxin Liu, Hao Lu, Zhiguo Cao, Tongliang Liu:
Point-Query Quadtree for Crowd Counting, Localization, and More. CoRR abs/2308.13814 (2023) - [i20]Wenze Liu, Hao Lu, Hongtao Fu, Zhiguo Cao:
Learning to Upsample by Learning to Sample. CoRR abs/2308.15085 (2023) - 2022
- [j22]Min Shi, Shuaisong Zhang, Hao Lu, Xiao-Ming Zhao, Xi-Qing Wang, Zhiguo Cao:
Phenotyping multiple maize ear traits from a single image: Kernels per ear, rows per ear, and kernels per row. Comput. Electron. Agric. 193: 106681 (2022) - [j21]Angfan Zhu, Hao Lu, Zhiguo Cao:
Video stabilization based on image registration. J. Electronic Imaging 31(2) (2022) - [j20]Chengxin Liu, Shuaiyuan Du, Hao Lu, Dehui Li, Zhiguo Cao:
Multispectral Semantic Land Cover Segmentation From Aerial Imagery With Deep Encoder-Decoder Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j19]Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Index Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 242-255 (2022) - [j18]Hao Lu, Liang Liu, Yanan Li, Xiao-Ming Zhao, Xi-Qing Wang, Zhiguo Cao:
TasselNetV3: Explainable Plant Counting With Guided Upsampling and Background Suppression. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j17]Liang Liu, Zhiguo Cao, Hao Lu, Haipeng Xiong, Chunhua Shen:
NSSNet: Scale-Aware Object Counting With Non-Scale Suppression. IEEE Trans. Intell. Transp. Syst. 23(4): 3103-3114 (2022) - [c30]Min Shi, Hao Lu, Chen Feng, Chengxin Liu, Zhiguo Cao:
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting. CVPR 2022: 9519-9528 - [c29]Juewen Peng, Zhiguo Cao, Xianrui Luo, Hao Lu, Ke Xian, Jianming Zhang:
BokehMe: When Neural Rendering Meets Classical Rendering. CVPR 2022: 16262-16271 - [c28]Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang:
Robust Object Detection with Inaccurate Bounding Boxes. ECCV (10) 2022: 53-69 - [c27]Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao:
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling. ECCV (27) 2022: 231-247 - [c26]Yizheng Wu, Min Shi, Shuaiyuan Du, Hao Lu, Zhiguo Cao, Weicai Zhong:
3D Instances as 1D Kernels. ECCV (29) 2022: 235-252 - [c25]Juewen Peng, Jianming Zhang, Xianrui Luo, Hao Lu, Ke Xian, Zhiguo Cao:
MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects. ECCV (6) 2022: 590-607 - [c24]Yinpeng Chen, Jiale Zhang, Zhiguo Cao, Hao Lu, Weicai Zhong:
Hyprogan: Breaking the Dimensional wall From Human to Anime. ICIP 2022: 2066-2070 - [c23]Zhiyu Pan, Zhiguo Cao, Ke Xian, Hao Lu, Weicai Zhong:
Discriminate Clearer To Rank Better: Image Cropping By Amplifying View-Wise Differences. ICIP 2022: 3176-3180 - [c22]Zijin Wu, Xingyi Li, Juewen Peng, Hao Lu, Zhiguo Cao, Weicai Zhong:
DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields. ACM Multimedia 2022: 1718-1729 - [c21]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 Multimedia 2022: 2536-2546 - [c20]Hao Lu, Wenze Liu, Zixuan Ye, Hongtao Fu, Yuliang Liu, Zhiguo Cao:
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling. NeurIPS 2022 - [i19]Min Shi, Hao Lu, Chen Feng, Chengxin Liu, Zhiguo Cao:
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting. CoRR abs/2203.08354 (2022) - [i18]Juewen Peng, Zhiguo Cao, Xianrui Luo, Hao Lu, Ke Xian, Jianming Zhang:
BokehMe: When Neural Rendering Meets Classical Rendering. CoRR abs/2206.12614 (2022) - [i17]Yizheng Wu, Min Shi, Shuaiyuan Du, Hao Lu, Zhiguo Cao, Weicai Zhong:
3D Instances as 1D Kernels. CoRR abs/2207.07372 (2022) - [i16]Juewen Peng, Jianming Zhang, Xianrui Luo, Hao Lu, Ke Xian, Zhiguo Cao:
MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects. CoRR abs/2207.08403 (2022) - [i15]Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang:
Robust Object Detection With Inaccurate Bounding Boxes. CoRR abs/2207.09697 (2022) - [i14]Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao:
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling. CoRR abs/2207.10392 (2022) - [i13]Yinpeng Chen, Zhiyu Pan, Min Shi, Hao Lu, Zhiguo Cao, Weicai Zhong:
Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels. CoRR abs/2208.00439 (2022) - [i12]Zijin Wu, Xingyi Li, Juewen Peng, Hao Lu, Zhiguo Cao, Weicai Zhong:
DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields. CoRR abs/2208.00945 (2022) - [i11]Hao Lu, Wenze Liu, Zixuan Ye, Hongtao Fu, Yuliang Liu, Zhiguo Cao:
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling. CoRR abs/2209.12866 (2022) - [i10]Zixuan Ye, Yutong Dai, Chaoyi Hong, Zhiguo Cao, Hao Lu:
Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting. CoRR abs/2212.13517 (2022) - 2021
- [j16]Yutong Dai, Hao Lu, Chunhua Shen:
Towards Light-Weight Portrait Matting via Parameter Sharing. Comput. Graph. Forum 40(1): 151-164 (2021) - [j15]Ke Xian, Juewen Peng, Chao Zhang, Hao Lu, Zhiguo Cao:
Ranking-Based Salient Object Detection and Depth Prediction for Shallow Depth-of-Field. Sensors 21(5): 1815 (2021) - [j14]Jian Cheng, Haipeng Xiong, Zhiguo Cao, Hao Lu:
Decoupled Two-Stage Crowd Counting and Beyond. IEEE Trans. Image Process. 30: 2862-2875 (2021) - [j13]Yutong Xie, Jianpeng Zhang, Hao Lu, Chunhua Shen, Yong Xia:
SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors. IEEE Trans. Medical Imaging 40(1): 286-296 (2021) - [c19]Yutong Dai, Hao Lu, Chunhua Shen:
Learning Affinity-Aware Upsampling for Deep Image Matting. CVPR 2021: 6841-6850 - [c18]Chaoyi Hong, Shuaiyuan Du, Ke Xian, Hao Lu, Zhiguo Cao, Weicai Zhong:
Composing Photos Like a Photographer. CVPR 2021: 7057-7066 - [c17]Zhiyu Pan, Zhiguo Cao, Kewei Wang, Hao Lu, Weicai Zhong:
TransView: Inside, Outside, and Across the Cropping View Boundaries. ICCV 2021: 4198-4207 - [c16]Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao:
Dynamic Color Transform for Wheat Head Detection. ICCVW 2021: 1278-1283 - [c15]Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao:
VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. ICCVW 2021: 2830-2838 - [c14]Zhiyu Pan, Ke Xian, Hao Lu, Zhiguo Cao:
Robust Image Cropping by Filtering Composition Irrelevant Factors. ICIG (3) 2021: 277-289 - [c13]Tianpei Lian, Zhiguo Cao, Hao Lu, Zijin Wu, Weicai Zhong:
Image Cropping Assisted By Modeling Inter-Patch Relations. ICIP 2021: 2573-2577 - 2020
- [j12]Yanan Li, Ziyun Huang, Zhiguo Cao, Hao Lu, Haihui Wang, Shuiping Zhang:
Performance Evaluation of Crop Segmentation Algorithms. IEEE Access 8: 36210-36225 (2020) - [j11]Yanan Li, Zhiguo Cao, Hao Lu, Wenxia Xu:
Unsupervised domain adaptation for in-field cotton boll status identification. Comput. Electron. Agric. 178: 105745 (2020) - [j10]Liang Liu, Hao Lu, Haipeng Xiong, Ke Xian, Zhiguo Cao, Chunhua Shen:
Counting Objects by Blockwise Classification. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3513-3527 (2020) - [c12]Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen:
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning. ECCV (10) 2020: 164-181 - [c11]Dehui Li, Zhiguo Cao, Ke Xian, Xinyuan Qi, Chao Zhang, Hao Lu:
Multi - Direction Convolution for Semantic Segmentation. ICPR 2020: 519-525 - [i9]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. CoRR abs/2001.01886 (2020) - [i8]Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen:
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning. CoRR abs/2007.08260 (2020) - [i7]Yutong Dai, Hao Lu, Chunhua Shen:
Learning Affinity-Aware Upsampling for Deep Image Matting. CoRR abs/2011.14288 (2020)
2010 – 2019
- 2019
- [j9]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 Trans. Circuits Syst. Video Technol. 29(5): 1339-1349 (2019) - [c10]Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Indices Matter: Learning to Index for Deep Image Matting. ICCV 2019: 3265-3274 - [c9]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. ICCV 2019: 8361-8370 - [c8]Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia:
Deep Segmentation-Emendation Model for Gland Instance Segmentation. MICCAI (1) 2019: 469-477 - [i6]Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Indices Matter: Learning to Index for Deep Image Matting. CoRR abs/1908.00672 (2019) - [i5]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. CoRR abs/1908.06473 (2019) - [i4]Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu:
Index Network. CoRR abs/1908.09895 (2019) - 2018
- [j8]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 Trans Autom. Sci. Eng. 15(2): 430-442 (2018) - [j7]Hao Lu, Chunhua Shen, Zhiguo Cao, Yang Xiao, Anton van den Hengel:
An Embarrassingly Simple Approach to Visual Domain Adaptation. IEEE Trans. Image Process. 27(7): 3403-3417 (2018) - [c7]Ruibo Li, Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Lingxiao Hang:
Deep Attention-Based Classification Network for Robust Depth Prediction. ACCV (4) 2018: 663-678 - [c6]Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Yang Xiao, Ruibo Li, Zhenbo Luo:
Monocular Relative Depth Perception With Web Stereo Data Supervision. CVPR 2018: 311-320 - [c5]Liang Liu, Hao Lu, Zhiguo Cao, Yang Xiao:
Counting Fish in Sonar Images. ICIP 2018: 3189-3193 - [c4]Lingxiao Hang, Zhiguo Cao, Yang Xiao, Hao Lu:
RGB-D Co-Segmentation on Indoor Scene with Geometric Prior and Hypothesis Filtering. PRCV (1) 2018: 168-179 - [i3]Ruibo Li, Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Lingxiao Hang:
Deep attention-based classification network for robust depth prediction. CoRR abs/1807.03959 (2018) - 2017
- [j6]Zhiwen Fang, Zhiguo Cao, Yang Xiao, Hao Lu:
Refine BING using effective cascade ranking. Appl. Soft Comput. 52: 487-500 (2017) - [j5]Hao Lu, Zhiguo Cao, Yang Xiao, Zhiwen Fang, Yanjun Zhu:
Towards fine-grained maize tassel flowering status recognition: Dataset, theory and practice. Appl. Soft Comput. 56: 34-45 (2017) - [j4]Hao Lu, Zhiguo Cao, Yang Xiao, Yanjun Zhu:
Two-dimensional subspace alignment for convolutional activations adaptation. Pattern Recognit. 71: 320-336 (2017) - [c3]Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel:
When Unsupervised Domain Adaptation Meets Tensor Representations. ICCV 2017: 599-608 - [i2]Hao Lu, Zhiguo Cao, Yang Xiao, Bohan Zhuang, Chunhua Shen:
TasselNet: Counting maize tassels in the wild via local counts regression network. CoRR abs/1707.02290 (2017) - [i1]Hao Lu, Lei Zhang, Zhiguo Cao, Wei Wei, Ke Xian, Chunhua Shen, Anton van den Hengel:
When Unsupervised Domain Adaptation Meets Tensor Representations. CoRR abs/1707.05956 (2017) - 2016
- [j3]Yanan Li, Zhiguo Cao, Hao Lu, Yang Xiao, Yanjun Zhu, Armin B. Cremers:
In-field cotton detection via region-based semantic image segmentation. Comput. Electron. Agric. 127: 475-486 (2016) - [j2]Chunhua Deng, Zhiguo Cao, Yang Xiao, Hao Lu, Ke Xian, Yin Chen:
Exploiting Attribute Dependency for Attribute Assignment in Crowded Scenes. IEEE Signal Process. Lett. 23(10): 1325-1329 (2016) - [c2]Hao Lu, Zhiguo Cao, Yang Xiao, Zhiwen Fang, Yanjun Zhu:
Fine-grained maize cultivar identification using filter-specific convolutional activations. ICIP 2016: 3718-3722 - 2015
- [j1]Hao Lu, Zhiguo Cao, Yang Xiao, Zhiwen Fang, Yanjun Zhu, Ke Xian:
Fine-grained maize tassel trait characterization with multi-view representations. Comput. Electron. Agric. 118: 143-158 (2015) - [c1]Xiaokang Xie, Zhiguo Cao, Yang Xiao, Mengyu Zhu, Hao Lu:
Blurred image recognition using domain adaptation. ICIP 2015: 532-536
Coauthor Index
[j29] [c41] [c40] [c39] [i36] [i33] [i32] [j28] [j27] [j26] [j24] [j23] [c37] [c36] [c35] [c34] [c33] [c31] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i21] [i20] [j22] [j21] [j20] [j18] [j17] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j15] [j14] [c18] [c17] [c16] [c15] [c14] [c13] [j12] [j11] [j10] [c12] [c11] [i9] [i8] [c9] [i5] [j8] [j7] [c7] [c6] [c5] [c4] [i3] [j6] [j5] [j4] [c3] [i2] [i1] [j3] [j2] [c2] [j1] [c1]
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last updated on 2024-12-26 01:54 CET by the dblp team
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