Blurred image recognition using domain adaptation. - Xiaokang Xie; Zhiguo Cao 001; Yang Xiao 007; Mengyu Zhu; Hao Lu 003 (ICIP, 2015)

Fine-grained maize tassel trait characterization with multi-view representations. - Hao Lu 003; Zhiguo Cao 001; Yang Xiao 007; Zhiwen Fang; Yanjun Zhu; Ke Xian (Comput. Electron. Agric., 2015)

Fine-grained maize cultivar identification using filter-specific convolutional activations. - Hao Lu 003; Zhiguo Cao 001; Yang Xiao 007; Zhiwen Fang; Yanjun Zhu (ICIP, 2016)

In-field cotton detection via region-based semantic image segmentation. - Yanan Li 006; Zhiguo Cao 001; Hao Lu 003; Yang Xiao 007; Yanjun Zhu; Armin B. Cremers (Comput. Electron. Agric., 2016)

Exploiting Attribute Dependency for Attribute Assignment in Crowded Scenes. - Chunhua Deng; Zhiguo Cao 001; Yang Xiao 007; Hao Lu 003; Ke Xian; Yin Chen (IEEE Signal Process. Lett., 2016)

When Unsupervised Domain Adaptation Meets Tensor Representations. - Hao Lu 003; Lei Zhang 054; Zhiguo Cao 001; Wei Wei 008; Ke Xian; Chunhua Shen; Anton van den Hengel (ICCV, 2017)

Refine BING using effective cascade ranking. - Zhiwen Fang; Zhiguo Cao 001; Yang Xiao 007; Hao Lu 003 (Appl. Soft Comput., 2017)

Towards fine-grained maize tassel flowering status recognition: Dataset, theory and practice. - Hao Lu 003; Zhiguo Cao 001; Yang Xiao 007; Zhiwen Fang; Yanjun Zhu (Appl. Soft Comput., 2017)

TasselNet: Counting maize tassels in the wild via local counts regression network. - Hao Lu 003; Zhiguo Cao 001; Yang Xiao 007; Bohan Zhuang; Chunhua Shen (CoRR, 2017)

Two-dimensional subspace alignment for convolutional activations adaptation. - Hao Lu 003; Zhiguo Cao 001; Yang Xiao 007; Yanjun Zhu (Pattern Recognit., 2017)

Deep Attention-Based Classification Network for Robust Depth Prediction. - Ruibo Li; Ke Xian; Chunhua Shen; Zhiguo Cao 001; Hao Lu 003; Lingxiao Hang (ACCV (4), 2018)

Monocular Relative Depth Perception With Web Stereo Data Supervision. - Ke Xian; Chunhua Shen; Zhiguo Cao 001; Hao Lu 003; Yang Xiao 007; Ruibo Li; Zhenbo Luo (CVPR, 2018)

Counting Fish in Sonar Images. - Liang Liu 001; Hao Lu 003; Zhiguo Cao 001; Yang Xiao 007 (ICIP, 2018)

RGB-D Co-Segmentation on Indoor Scene with Geometric Prior and Hypothesis Filtering. - Lingxiao Hang; Zhiguo Cao 001; Yang Xiao 007; Hao Lu 003 (PRCV (1), 2018)

Toward Good Practices for Fine-Grained Maize Cultivar Identification With Filter-Specific Convolutional Activations. - Hao Lu 003; Zhiguo Cao 001; Yang Xiao 007; Zhiwen Fang; Yanjun Zhu (IEEE Trans Autom. Sci. Eng., 2018)

An Embarrassingly Simple Approach to Visual Domain Adaptation. - Hao Lu 003; Chunhua Shen; Zhiguo Cao 001; Yang Xiao 007; Anton van den Hengel (IEEE Trans. Image Process., 2018)

Indices Matter: Learning to Index for Deep Image Matting. - Hao Lu 003; Yutong Dai 001; Chunhua Shen; Songcen Xu (ICCV, 2019)

From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer. - Haipeng Xiong; Hao Lu 003; Chengxin Liu; Liang Liu 001; Zhiguo Cao 001; Chunhua Shen (ICCV, 2019)

Deep Segmentation-Emendation Model for Gland Instance Segmentation. - Yutong Xie 001; Hao Lu 003; Jianpeng Zhang; Chunhua Shen; Yong Xia 001 (MICCAI (1), 2019)

Index Network. - Hao Lu 003; Yutong Dai 001; Chunhua Shen; Songcen Xu (CoRR, 2019)

Unsupervised Domain Adaptation Using Robust Class-Wise Matching. - Lei Zhang 054; Peng Wang 023; Wei Wei 008; Hao Lu 003; Chunhua Shen; Anton van den Hengel; Yanning Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Weighing Counts: Sequential Crowd Counting by Reinforcement Learning. - Liang Liu 001; Hao Lu 003; Hongwei Zou; Haipeng Xiong; Zhiguo Cao 001; Chunhua Shen (ECCV (10), 2020)

Multi - Direction Convolution for Semantic Segmentation. - Dehui Li; Zhiguo Cao 001; Ke Xian; Xinyuan Qi; Chao Zhang; Hao Lu 003 (ICPR, 2020)

Performance Evaluation of Crop Segmentation Algorithms. - Yanan Li 006; Ziyun Huang; Zhiguo Cao 001; Hao Lu 003; Haihui Wang; Shuiping Zhang (IEEE Access, 2020)

Unsupervised domain adaptation for in-field cotton boll status identification. - Yanan Li 006; Zhiguo Cao 001; Hao Lu 003; Wenxia Xu (Comput. Electron. Agric., 2020)

Counting Objects by Blockwise Classification. - Liang Liu 001; Hao Lu 003; Haipeng Xiong; Ke Xian; Zhiguo Cao 001; Chunhua Shen (IEEE Trans. Circuits Syst. Video Technol., 2020)

Learning Affinity-Aware Upsampling for Deep Image Matting. - Yutong Dai 001; Hao Lu 003; Chunhua Shen (CVPR, 2021)

Composing Photos Like a Photographer. - Chaoyi Hong; Shuaiyuan Du; Ke Xian; Hao Lu 003; Zhiguo Cao 001; Weicai Zhong (CVPR, 2021)

TransView: Inside, Outside, and Across the Cropping View Boundaries. - Zhiyu Pan; Zhiguo Cao 001; Kewei Wang 001; Hao Lu 003; Weicai Zhong (ICCV, 2021)

VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. - Zhihao Liu; Zhijian He; Lujia Wang 001; Wenguan Wang; Yixuan Yuan; Dingwen Zhang; Jinglin Zhang; Pengfei Zhu 001; Luc Van Gool; Junwei Han 001; Steven C. H. Hoi; Qinghua Hu; et al. (ICCVW, 2021)

Dynamic Color Transform for Wheat Head Detection. - Chengxin Liu; Kewei Wang 001; Hao Lu 003; Zhiguo Cao 001 (ICCVW, 2021)

Robust Image Cropping by Filtering Composition Irrelevant Factors. - Zhiyu Pan; Ke Xian; Hao Lu 003; Zhiguo Cao 001 (ICIG (3), 2021)

Image Cropping Assisted By Modeling Inter-Patch Relations. - Tianpei Lian; Zhiguo Cao 001; Hao Lu 003; Zijin Wu; Weicai Zhong (ICIP, 2021)

Towards Light-Weight Portrait Matting via Parameter Sharing. - Yutong Dai 001; Hao Lu 003; Chunhua Shen (Comput. Graph. Forum, 2021)

Ranking-Based Salient Object Detection and Depth Prediction for Shallow Depth-of-Field. - Ke Xian; Juewen Peng; Chao Zhang; Hao Lu 003; Zhiguo Cao 001 (Sensors, 2021)

Decoupled Two-Stage Crowd Counting and Beyond. - Jian Cheng 001; Haipeng Xiong; Zhiguo Cao 001; Hao Lu 003 (IEEE Trans. Image Process., 2021)

SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors. - Yutong Xie 001; Jianpeng Zhang; Hao Lu 003; Chunhua Shen; Yong Xia 001 (IEEE Trans. Medical Imaging, 2021)

BokehMe: When Neural Rendering Meets Classical Rendering. - Juewen Peng; Zhiguo Cao 001; Xianrui Luo; Hao Lu 003; Ke Xian; Jianming Zhang 001 (CVPR, 2022)

Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting. - Min Shi 004; Hao Lu 003; Chen Feng 002; Chengxin Liu; Zhiguo Cao 001 (CVPR, 2022)

FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling. - Hao Lu 003; Wenze Liu; Hongtao Fu; Zhiguo Cao 001 (ECCV (27), 2022)

Robust Object Detection with Inaccurate Bounding Boxes. - Chengxin Liu; Kewei Wang 001; Hao Lu 003; Zhiguo Cao 001; Ziming Zhang (ECCV (10), 2022)

MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects. - Juewen Peng; Jianming Zhang 001; Xianrui Luo; Hao Lu 003; Ke Xian; Zhiguo Cao 001 (ECCV (6), 2022)

3D Instances as 1D Kernels. - Yizheng Wu; Min Shi 004; Shuaiyuan Du; Hao Lu 003; Zhiguo Cao 001; Weicai Zhong (ECCV (29), 2022)

Hyprogan: Breaking the Dimensional wall From Human to Anime. - Yinpeng Chen; Jiale Zhang; Zhiguo Cao 001; Hao Lu 003; Weicai Zhong (ICIP, 2022)

Discriminate Clearer To Rank Better: Image Cropping By Amplifying View-Wise Differences. - Zhiyu Pan; Zhiguo Cao 001; Ke Xian; Hao Lu 003; Weicai Zhong (ICIP, 2022)

Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels. - Yinpeng Chen; Zhiyu Pan; Min Shi 004; Hao Lu 003; Zhiguo Cao 001; Weicai Zhong (ACM Multimedia, 2022)

DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields. - Zijin Wu; Xingyi Li; Juewen Peng; Hao Lu 003; Zhiguo Cao 001; Weicai Zhong (ACM Multimedia, 2022)

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling. - Hao Lu 003; Wenze Liu; Zixuan Ye; Hongtao Fu; Yuliang Liu; Zhiguo Cao 001 (NeurIPS, 2022)

Phenotyping multiple maize ear traits from a single image: Kernels per ear, rows per ear, and kernels per row. - Min Shi 004; Shuaisong Zhang; Hao Lu 003; Xiao-Ming Zhao; Xi-Qing Wang; Zhiguo Cao 001 (Comput. Electron. Agric., 2022)

Video stabilization based on image registration. - Angfan Zhu; Hao Lu 003; Zhiguo Cao 001 (J. Electronic Imaging, 2022)

Multispectral Semantic Land Cover Segmentation From Aerial Imagery With Deep Encoder-Decoder Network. - Chengxin Liu; Shuaiyuan Du; Hao Lu 003; Dehui Li; Zhiguo Cao 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Index Networks. - Hao Lu 003; Yutong Dai 001; Chunhua Shen; Songcen Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

TasselNetV3: Explainable Plant Counting With Guided Upsampling and Background Suppression. - Hao Lu 003; Liang Liu 001; Yanan Li 006; Xiao-Ming Zhao; Xi-Qing Wang; Zhiguo Cao 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

NSSNet: Scale-Aware Object Counting With Non-Scale Suppression. - Liang Liu 001; Zhiguo Cao 001; Hao Lu 003; Haipeng Xiong; Chunhua Shen (IEEE Trans. Intell. Transp. Syst., 2022)

Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression. - Zhiyu Pan; Yinpeng Chen; Jiale Zhang; Hao Lu 003; Zhiguo Cao 001; Weicai Zhong (AAAI, 2023)

Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting. - Zixuan Ye; Yutong Dai 001; Chaoyi Hong; Zhiguo Cao 001; Hao Lu 003 (AAAI, 2023)

Learning Second-Order Attentive Context for Efficient Correspondence Pruning. - Xinyi Ye; Weiyue Zhao; Hao Lu 003; Zhiguo Cao 001 (AAAI, 2023)

ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer. - Mingxin Huang; Jiaxin Zhang 003; Dezhi Peng; Hao Lu 003; Can Huang; Yuliang Liu; Xiang Bai; Lianwen Jin (ICCV, 2023)

Learning to Upsample by Learning to Sample. - Wenze Liu; Hao Lu 003; Hongtao Fu; Zhiguo Cao 001 (ICCV, 2023)

Point-Query Quadtree for Crowd Counting, Localization, and More. - Chengxin Liu; Hao Lu 003; Zhiguo Cao 001; Tongliang Liu (ICCV, 2023)

Fast Full-frame Video Stabilization with Iterative Optimization. - Weiyue Zhao; Xin Li 005; Zhan Peng; Xianrui Luo; Xinyi Ye; Hao Lu 003; Zhiguo Cao 001 (ICCV, 2023)

On Point Affiliation in Feature Upsampling. - Wenze Liu; Hao Lu 003; Yuliang Liu; Zhiguo Cao 001 (CoRR, 2023)

Box-DETR: Understanding and Boxing Conditional Spatial Queries. - Wenze Liu; Hao Lu 003; Yuliang Liu; Zhiguo Cao 001 (CoRR, 2023)

Point-and-Shoot All-in-Focus Photo Synthesis From Smartphone Camera Pair. - Xianrui Luo; Juewen Peng; Weiyue Zhao; Ke Xian; Hao Lu 003; Zhiguo Cao 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting. - Haipeng Xiong; Hao Lu 003; Chengxin Liu; Liang Liu 001; Chunhua Shen; Zhiguo Cao 001 (Int. J. Comput. Vis., 2023)

Accurate Robotic Grasp Detection with Angular Label Smoothing. - Min Shi 005; Hao Lu 003; Zhao-Xin Li; Dengming Zhu; Zhao-Qi Wang (J. Comput. Sci. Technol., 2023)

SIERRA: A robust bilateral feature upsampler for dense prediction. - Hongtao Fu; Wenze Liu; Yuliang Liu; Zhiguo Cao 001; Hao Lu 003 (Comput. Vis. Image Underst., 2023)

A2B: Anchor to Barycentric Coordinate for Robust Correspondence. - Weiyue Zhao; Hao Lu 003; Zhiguo Cao 001; Xin Li 005 (Int. J. Comput. Vis., 2023)

Learning Probabilistic Coordinate Fields for Robust Correspondences. - Weiyue Zhao; Hao Lu 003; Xinyi Ye; Zhiguo Cao 001; Xin Li 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting. - Zhicheng Wang 002; Liwen Xiao; Zhiguo Cao 001; Hao Lu 003 (AAAI, 2024)

In-Context Matting. - He Guo 005; Zixuan Ye; Zhiguo Cao 001; Hao Lu 003 (CVPR, 2024)

Unifying Automatic and Interactive Matting with Pretrained ViTs. - Zixuan Ye; Wenze Liu; He Guo 005; Yujia Liang; Chaoyi Hong; Hao Lu 003; Zhiguo Cao 001 (CVPR, 2024)

SCAPE: A Simple and Strong Category-Agnostic Pose Estimator. - Yujia Liang; Zixuan Ye; Wenze Liu; Hao Lu 003 (ECCV (23), 2024)

Counting Crowd by Weighing Counts: A Sequential Decision-Making Perspective. - Hao Lu 003; Liang Liu 001; Hu Wang 005; Zhiguo Cao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Training Matting Models Without Alpha Labels. - Wenze Liu; Zixuan Ye; Hao Lu 003; Zhiguo Cao 001; Xiangyu Yue 001 (AAAI, 2025)

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models. - Yifan Liu 010; Keyu Fan; Weihao Yu 005; Chenxin Li; Hao Lu 003; Yixuan Yuan (CVPR, 2025)

Nighttime environment enables robust field-based high-throughput plant phenotyping: A system platform and a case study on rice. - Binghui Xu; Jiafei Zhang; Zhixin Tang; Yongshuai Zhang; Lingli Xu; Hao Lu 003; Zhiguo Han; Weijuan Hu (Comput. Electron. Agric., 2025)

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning. - Ling Fu; Biao Yang; Zhebin Kuang; Jiajun Song; Yuzhe Li; Linghao Zhu; Qidi Luo; Xinyu Wang; Hao Lu 003; Mingxin Huang; Zhang Li; Guozhi Tang; et al. (CoRR, 2025)

FADE: A Task-Agnostic Upsampling Operator for Encoder-Decoder Architectures. - Hao Lu 003; Wenze Liu; Hongtao Fu; Zhiguo Cao 001 (Int. J. Comput. Vis., 2025)

VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-Domain Generalization. - Yuliang Liu; Mingxin Huang; Hao Yan; Linger Deng; Weijia Wu 001; Hao Lu 003; Chunhua Shen; Lianwen Jin; Xiang Bai (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Densely activated self-attention for semantic segmentation. - Liwen Xiao; Wenze Liu; Zhicheng Wang 002; Yiran Wang 005; Zhiyu Pan; Hao Lu 003; Zhiguo Cao 001 (Pattern Recognit., 2026)