A Video Watermarking Scheme Resistant to Synchronization Attacks Based on Statistics and Shot Segmentation. - Lihe Zhang; Gang Xu; Ji-jun Zhou; Lin-jie Shen (ISDA, 2007)

Online sparse learning utilizing multi-feature combination for image classification. - Lihe Zhang; Kunyu Zhang; Xiaoli Dong (ICIP, 2011)

Superpixel level object recognition under local learning framework. - Xuejiao Feng; Huchuan Lu; Lihe Zhang (ICIP, 2012)

Low-rank, sparse matrix decomposition and group sparse coding for image classification. - Lihe Zhang; Chen Ma 002 (ICIP, 2012)

Image cosegmentation Based on Local and Global Level Set Methods. - Lihe Zhang; Zhenzhen Liu (Int. J. Image Graph., 2012)

Saliency Detection via Graph-Based Manifold Ranking. - Chuan Yang; Lihe Zhang; Huchuan Lu; Xiang Ruan; Ming-Hsuan Yang 001 (CVPR, 2013)

Saliency Detection via Absorbing Markov Chain. - Bowen Jiang; Lihe Zhang; Huchuan Lu; Chuan Yang; Ming-Hsuan Yang 001 (ICCV, 2013)

Saliency Detection via Dense and Sparse Reconstruction. - Xiaohui Li 005; Huchuan Lu; Lihe Zhang; Xiang Ruan; Ming-Hsuan Yang 001 (ICCV, 2013)

Superpixel level object recognition under local learning framework. - Huchuan Lu; Xuejiao Feng; Xiaohui Li 005; Lihe Zhang (Neurocomputing, 2013)

Graph-Regularized Saliency Detection With Convex-Hull-Based Center Prior. - Chuan Yang; Lihe Zhang; Huchuan Lu (IEEE Signal Process. Lett., 2013)

Low-rank decomposition and Laplacian group sparse coding for image classification. - Lihe Zhang; Chen Ma 002 (Neurocomputing, 2014)

Saliency Detection with Multi-Scale Superpixels. - Na Tong; Huchuan Lu; Lihe Zhang; Xiang Ruan (IEEE Signal Process. Lett., 2014)

Visual tracking via guided filter. - Dandan Du; Huchuan Lu; Lihe Zhang; Fu Li 003 (ICIP, 2015)

Visual tracking with astructured local model. - Minghao Sun; Dandan Du; Huchuan Lu; Lihe Zhang (ICIP, 2015)

Multi-level K-means clustering and group sparse coding with quasi-SIFT feature for image classification. - Lihe Zhang; Chen Ma 002 (Int. J. Inf. Commun. Technol., 2015)

Saliency detection via sparse reconstruction and joint label inference in multiple features. - Lihe Zhang; Shoufeng Zhao; Wei Liu 055; Huchuan Lu (Neurocomputing, 2015)

CRF-Based Figure/Ground Segmentation with Pixel-Level Sparse Coding and Neighborhood Interactions. - Lihe Zhang; Yongri Piao (J. Inform. and Commun. Convergence Engineering, 2015)

Salient Object Detection with Higher Order Potentials and Learning Affinity. - Lihe Zhang; Xinzhe Yuan (IEEE Signal Process. Lett., 2015)

Kernelized Subspace Ranking for Saliency Detection. - Tiantian Wang 002; Lihe Zhang; Huchuan Lu; Chong Sun; Jinqing Qi (ECCV (8), 2016)

Combining motion and appearance cues for anomaly detection. - Ying Zhang 021; Huchuan Lu; Lihe Zhang; Xiang Ruan (Pattern Recognit., 2016)

Video anomaly detection based on locality sensitive hashing filters. - Ying Zhang 021; Huchuan Lu; Lihe Zhang; Xiang Ruan; Shun Sakai (Pattern Recognit., 2016)

Salient object detection via point-to-set metric learning. - Jia You; Lihe Zhang; Jinqing Qi; Huchuan Lu (Pattern Recognit. Lett., 2016)

Discriminative Hash Tracking With Group Sparsity. - Dandan Du; Lihe Zhang; Huchuan Lu; Xue Mei; Xiaoli Li 011 (IEEE Trans. Cybern., 2016)

Dense and Sparse Reconstruction Error Based Saliency Descriptor. - Huchuan Lu; Xiaohui Li 005; Lihe Zhang; Xiang Ruan; Ming-Hsuan Yang 001 (IEEE Trans. Image Process., 2016)

Sparse Hashing Tracking. - Lihe Zhang; Huchuan Lu; Dandan Du; Luning Liu (IEEE Trans. Image Process., 2016)

A Stagewise Refinement Model for Detecting Salient Objects in Images. - Tiantian Wang 002; Ali Borji; Lihe Zhang; Pingping Zhang; Huchuan Lu (ICCV, 2017)

Saliency Detection by Unifying Regression and Propagation. - Jianwu Ai; Lihe Zhang; Xiukui Li (IScIDE, 2017)

Application of Plant-Derived Anti Repellents in Prevention and Cure of Parasaissetia Nigra Nietner. - Lihe Zhang; Bin Du; Baoli Qiu; Hui Wang (ISICA (1), 2017)

Study on Potency of Controlling on Crematogaster Rogenhoferi to Parasaissetia Nigra Nietner. - Lihe Zhang; Bin Du; Baoli Qiu; Hui Wang (ISICA (2), 2017)

Ranking Saliency. - Lihe Zhang; Chuan Yang; Huchuan Lu; Xiang Ruan; Ming-Hsuan Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Salient Object Detection via Multiple Instance Learning. - Fang Huang; Jinqing Qi; Huchuan Lu; Lihe Zhang; Xiang Ruan (IEEE Trans. Image Process., 2017)

Detect Globally, Refine Locally: A Novel Approach to Saliency Detection. - Tiantian Wang 002; Lihe Zhang; Shuo Wang; Huchuan Lu; Gang Yang 002; Xiang Ruan; Ali Borji (CVPR, 2018)

Learning to Promote Saliency Detectors. - Yu Zeng 001; Huchuan Lu; Lihe Zhang; Mengyang Feng; Ali Borji (CVPR, 2018)

Deep multi-level networks with multi-task learning for saliency detection. - Lihe Zhang; Xiang Fang; Hongguang Bo; Tiantian Wang 002; Huchuan Lu (Neurocomputing, 2018)

Salient object detection via proposal selection. - Lihe Zhang; Qin Zhou (Neurocomputing, 2018)

Saliency Detection via Absorbing Markov Chain With Learnt Transition Probability. - Lihe Zhang; Jianwu Ai; Bowen Jiang; Huchuan Lu; Xiukui Li (IEEE Trans. Image Process., 2018)

Multi-Source Weak Supervision for Saliency Detection. - Yu Zeng 001; Yun-Zhi Zhuge; Huchuan Lu; Lihe Zhang; Mingyang Qian; Yizhou Yu (CVPR, 2019)

Deep Learning for Light Field Saliency Detection. - Tiantian Wang 002; Yongri Piao; Huchuan Lu; Xiao Li; Lihe Zhang (ICCV, 2019)

Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation. - Yu Zeng 001; Yun-Zhi Zhuge; Huchuan Lu; Lihe Zhang (ICCV, 2019)

Salient object detection by local and global manifold regularized SVM model. - Lihe Zhang; Dandan Zhang; Jiayu Sun; Guohua Wei; Hongguang Bo (Neurocomputing, 2019)

Language-aware weak supervision for salient object detection. - Mingyang Qian; Jinqing Qi; Lihe Zhang; Mengyang Feng; Huchuan Lu (Pattern Recognit., 2019)

Edge-Aware Convolution Neural Network Based Salient Object Detection. - Wenlong Guan; Tiantian Wang 002; Jinqing Qi; Lihe Zhang; Huchuan Lu (IEEE Signal Process. Lett., 2019)

Bi-Directional Relationship Inferring Network for Referring Image Segmentation. - Zhiwei Hu; Guang Feng; Jiayu Sun; Lihe Zhang; Huchuan Lu (CVPR, 2020)

Multi-Scale Interactive Network for Salient Object Detection. - Youwei Pang; Xiaoqi Zhao; Lihe Zhang; Huchuan Lu (CVPR, 2020)

Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection. - Youwei Pang; Lihe Zhang; Xiaoqi Zhao; Huchuan Lu (ECCV (25), 2020)

Suppress and Balance: A Simple Gated Network for Salient Object Detection. - Xiaoqi Zhao; Youwei Pang; Lihe Zhang; Huchuan Lu; Lei Zhang (ECCV (2), 2020)

A Single Stream Network for Robust and Real-Time RGB-D Salient Object Detection. - Xiaoqi Zhao; Lihe Zhang; Youwei Pang; Huchuan Lu; Lei Zhang (ECCV (22), 2020)

Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks. - Baihong Xie; Ting Lei; Nan Wang; Hongmin Cai; Jianbo Xian; Miao He; Lihe Zhang; Hongning Xie (Int. J. Comput. Assist. Radiol. Surg., 2020)

CACNet: Salient object detection via context aggregation and contrast embedding. - Guang Feng; Hongguang Bo; Jiayu Sun; Lihe Zhang; Huchuan Lu (Neurocomputing, 2020)

Salient object detection via double random walks with dual restarts. - Jiaxing Yang; Xiang Fang; Lihe Zhang; Huchuan Lu; Guohua Wei (Image Vis. Comput., 2020)

Visual Saliency Detection via Kernelized Subspace Ranking With Active Learning. - Lihe Zhang; Jiayu Sun; Tiantian Wang 002; Yifan Min; Huchuan Lu (IEEE Trans. Image Process., 2020)

A Multistage Refinement Network for Salient Object Detection. - Lihe Zhang; Jie Wu 028; Tiantian Wang 002; Ali Borji; Guohua Wei; Huchuan Lu (IEEE Trans. Image Process., 2020)

Encoder Fusion Network With Co-Attention Embedding for Referring Image Segmentation. - Guang Feng; Zhiwei Hu; Lihe Zhang; Huchuan Lu (CVPR, 2021)

Automatic Polyp Segmentation via Multi-scale Subtraction Network. - Xiaoqi Zhao; Lihe Zhang; Huchuan Lu (MICCAI (1), 2021)

Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation. - Xiaoqi Zhao; Youwei Pang; Jiaxing Yang; Lihe Zhang; Huchuan Lu (ACM Multimedia, 2021)

Self-Supervised Representation Learning for RGB-D Salient Object Detection. - Xiaoqi Zhao; Youwei Pang; Lihe Zhang; Huchuan Lu; Xiang Ruan (CoRR, 2021)

MODNet-V: Improving Portrait Video Matting via Background Restoration. - Jiayu Sun; Zhanghan Ke; Lihe Zhang; Huchuan Lu; Rynson W. H. Lau (CoRR, 2021)

TransCMD: Cross-Modal Decoder Equipped with Transformer for RGB-D Salient Object Detection. - Youwei Pang; Xiaoqi Zhao; Lihe Zhang; Huchuan Lu (CoRR, 2021)

Self-Supervised Pretraining for RGB-D Salient Object Detection. - Xiaoqi Zhao; Youwei Pang; Lihe Zhang; Huchuan Lu; Xiang Ruan (AAAI, 2022)

Semantics-Adding Flaw-Erasing Network for Semantic Human Matting. - Jiayu Sun; Zhanghan Ke; Ke Xu 010; Fan Shao; Lihe Zhang; Huchuan Lu; Rynson W. H. Lau (BMVC, 2022)

Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection. - Youwei Pang; Xiaoqi Zhao; Tian-Zhu Xiang; Lihe Zhang; Huchuan Lu (CVPR, 2022)

Deeply Interleaved Two-Stream Encoder for Referring Video Segmentation. - Guang Feng; Lihe Zhang; Zhiwei Hu; Huchuan Lu (CoRR, 2022)

Learning to Detect Salient Object With Multi-Source Weak Supervision. - Hongshuang Zhang; Yu Zeng 001; Huchuan Lu; Lihe Zhang; Jianhua Li; Jinqing Qi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Encoder deep interleaved network with multi-scale aggregation for RGB-D salient object detection. - Guang Feng; Jinyu Meng; Lihe Zhang; Huchuan Lu (Pattern Recognit., 2022)

Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction. - Xiaoqi Zhao; Youwei Pang; Lihe Zhang; Huchuan Lu (IEEE Trans. Image Process., 2022)

Referring Image Segmentation Using Text Supervision. - Fang Liu 033; Yuhao Liu 001; Yuqiu Kong; Ke Xu 010; Lihe Zhang; Baocai Yin; Gerhard P. Hancke 002; Rynson W. H. Lau (ICCV, 2023)

Adaptive Illumination Mapping for Shadow Detection in Raw Images. - Jiayu Sun; Ke Xu 010; Youwei Pang; Lihe Zhang; Huchuan Lu; Gerhard P. Hancke 002; Rynson W. H. Lau (ICCV, 2023)

Fast Adversarial Training with Smooth Convergence. - Mengnan Zhao; Lihe Zhang; Yuqiu Kong; Baocai Yin (ICCV, 2023)

Progressively Coupling Network for Brain MRI Registration in Few-Shot Situation. - Zuopeng Tan; Hengyu Zhang; Feng Tian; Lihe Zhang; Weibing Sun; Huchuan Lu (MICCAI (10), 2023)

Only Classification Head Is Sufficient for Medical Image Segmentation. - Hongbin Wei; Zhiwei Hu; Bo Chen; Zhilong Ji; Hongpeng Jia; Lihe Zhang; Huchuan Lu (PRCV (13), 2023)

Growth Simulation Network for Polyp Segmentation. - Hongbin Wei; Xiaoqi Zhao; Long Lv; Lihe Zhang; Weibing Sun; Huchuan Lu (PRCV (13), 2023)

M2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation. - Xiaoqi Zhao; Hongpeng Jia; Youwei Pang; Long Lv; Feng Tian; Lihe Zhang; Weibing Sun; Huchuan Lu (CoRR, 2023)

3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPW. - Shijie Chang; Zeqi Hao; Ben Kang; Xiaoqi Zhao; Jiawen Zhu; Zhenyu Chen 001; Lihe Zhang; Lu Zhang 053; Huchuan Lu (CoRR, 2023)

ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer. - Youwei Pang; Xiaoqi Zhao; Lihe Zhang; Huchuan Lu (CoRR, 2023)

EipFormer: Emphasizing Instance Positions in 3D Instance Segmentation. - Mengnan Zhao; Lihe Zhang; Yuqiu Kong; Baocai Yin (CoRR, 2023)

Local-global coordination with transformers for referring image segmentation. - Fang Liu 033; Yuqiu Kong; Lihe Zhang; Guang Feng; Baocai Yin (Neurocomputing, 2023)

Lane Detection with Versatile AtrousFormer and Local Semantic Guidance. - Jiaxing Yang; Lihe Zhang; Huchuan Lu (Pattern Recognit., 2023)

CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection. - Youwei Pang; Xiaoqi Zhao; Lihe Zhang; Huchuan Lu (IEEE Trans. Image Process., 2023)

Bidirectional Relationship Inferring Network for Referring Image Localization and Segmentation. - Guang Feng; Zhiwei Hu; Lihe Zhang; Jiayu Sun; Huchuan Lu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Referring Segmentation via Encoder-Fused Cross-Modal Attention Network. - Guang Feng; Lihe Zhang; Jiayu Sun; Zhiwei Hu; Huchuan Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Temporal knowledge graph reasoning triggered by memories. - Mengnan Zhao; Lihe Zhang; Yuqiu Kong; Baocai Yin (Appl. Intell., 2023)

Multi-View Aggregation Network for Dichotomous Image Segmentation. - Qian Yu; Xiaoqi Zhao; Youwei Pang; Lihe Zhang; Huchuan Lu (CVPR, 2024)

Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and Baseline. - Xiaoqi Zhao; Youwei Pang; Zhenyu Chen 001; Qian Yu; Lihe Zhang; Hanqi Liu; Jiaming Zuo; Huchuan Lu (CVPR, 2024)

Open-Vocabulary Camouflaged Object Segmentation. - Youwei Pang; Xiaoqi Zhao; Jiaming Zuo; Lihe Zhang; Huchuan Lu (ECCV (47), 2024)

Catastrophic Overfitting: A Potential Blessing in Disguise. - Mengnan Zhao; Lihe Zhang; Yuqiu Kong; Baocai Yin (ECCV (42), 2024)

Spider: A Unified Framework for Context-dependent Concept Segmentation. - Xiaoqi Zhao; Youwei Pang; Wei Ji 011; Baicheng Sheng; Jiaming Zuo; Lihe Zhang; Huchuan Lu (ICML, 2024)

Separable Multi-Concept Erasure from Diffusion Models. - Mengnan Zhao; Lihe Zhang; Tianhang Zheng; Yuqiu Kong; Baocai Yin (CoRR, 2024)

Spatial Semantic Recurrent Mining for Referring Image Segmentation. - Jiaxing Yang; Lihe Zhang; Jiayu Sun; Huchuan Lu (CoRR, 2024)

High-Performance Few-Shot Segmentation with Foundation Models: An Empirical Study. - Shijie Chang; Lihe Zhang; Huchuan Lu (CoRR, 2024)

Adversarial Training: A Survey. - Mengnan Zhao; Lihe Zhang; Jingwen Ye; Huchuan Lu; Baocai Yin; Xinchao Wang (CoRR, 2024)

Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes. - Xiaoqi Zhao; Youwei Pang; Shijie Chang; Yuan Zhao; Lihe Zhang; Huchuan Lu; Jinsong Ouyang; Georges El Fakhri; Xiaofeng Liu 001 (CoRR, 2024)

Neural image re-exposure. - Xinyu Zhang 017; Hefei Huang; Xu Jia 012; Dong Wang 004; Lihe Zhang; Bolun Zheng; Wei Zhou; Huchuan Lu (Comput. Vis. Image Underst., 2024)

Class correlation correction for unbiased scene graph generation. - Mengnan Zhao; Yuqiu Kong; Lihe Zhang; Baocai Yin (Pattern Recognit., 2024)

Adversarial Attacks on Scene Graph Generation. - Mengnan Zhao; Lihe Zhang; Wei Wang 025; Yuqiu Kong; Baocai Yin (IEEE Trans. Inf. Forensics Secur., 2024)

Learning From Box Annotations for Referring Image Segmentation. - Guang Feng; Lihe Zhang; Zhiwei Hu; Huchuan Lu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Adaptive Multi-Source Predictor for Zero-Shot Video Object Segmentation. - Xiaoqi Zhao; Shijie Chang; Youwei Pang; Jiaxing Yang; Lihe Zhang; Huchuan Lu (Int. J. Comput. Vis., 2024)

Towards Diverse Binary Segmentation via a Simple yet General Gated Network. - Xiaoqi Zhao; Youwei Pang; Lihe Zhang; Huchuan Lu; Lei Zhang (Int. J. Comput. Vis., 2024)

Referring Image Segmentation With Fine-Grained Semantic Funneling Infusion. - Jiaxing Yang; Lihe Zhang; Huchuan Lu (IEEE Trans. Neural Networks Learn. Syst., 2024)

GroupMorph: Medical Image Registration via Grouping Network With Contextual Fusion. - Zuopeng Tan; Lihe Zhang; Yanan Lv; Yili Ma; Huchuan Lu (IEEE Trans. Medical Imaging, 2024)

ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection. - Youwei Pang; Xiaoqi Zhao; Tian-Zhu Xiang; Lihe Zhang; Huchuan Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Unified Medical Lesion Segmentation via Self-referring Indicator. - Shijie Chang; Xiaoqi Zhao; Lihe Zhang; Tiancheng Wang (CVPR, 2025)

Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation. - Jiao Xu; Xin Chen; Lihe Zhang (CVPR, 2025)

High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity. - Qian Yu; Peng-Tao Jiang; Hao Zhang 063; Jinwei Chen; Bo Li 115; Lihe Zhang; Huchuan Lu (ICLR, 2025)

Beyond mask: Rethinking guidance types in few-shot segmentation. - Shijie Chang; Youwei Pang; Xiaoqi Zhao; Huchuan Lu; Lihe Zhang (Pattern Recognit., 2025)

Semantics Alternating Enhancement and Bidirectional Aggregation for Referring Video Object Segmentation. - Jiaxing Yang; Lihe Zhang; Huchuan Lu (IEEE Trans. Multim., 2025)

AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors. - Mengnan Zhao; Lihe Zhang; Xingyi Yang; Tianhang Zheng; Baocai Yin (CoRR, 2025)

EffOWT: Transfer Visual Language Models to Open-World Tracking Efficiently and Effectively. - Bingyang Wang; Kaer Huang; Bin Li; Yiqiang Yan; Lihe Zhang; Huchuan Lu; You He (CoRR, 2025)

FocusCLIP: Focusing on Anomaly Regions by Visual-Text Discrepancies. - Yuan Zhao; Jiayu Sun; Lihe Zhang; Huchuan Lu (IEEE Trans. Circuits Syst. Video Technol., 2025)

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model. - Yilong Hu; Shijie Chang; Lihe Zhang; Feng Tian; Weibing Sun; Huchuan Lu (CoRR, 2025)

Referring Remote Sensing Image Segmentation with Cross-view Semantics Interaction Network. - Jiaxing Yang; Lihe Zhang; Huchuan Lu (CoRR, 2025)

Power Battery Detection. - Xiaoqi Zhao; Peiqian Cao; Lihe Zhang; Zonglei Feng; Hanqi Liu; Jiaming Zuo; Youwei Pang; Weisi Lin; Georges El Fakhri; Huchuan Lu; Xiaofeng Liu 001 (CoRR, 2025)

EipFormer: Enhancing 3D instance segmentation by emphasizing instance positions. - Mengnan Zhao; Lihe Zhang; Yuqiu Kong; Baocai Yin (Expert Syst. Appl., 2026)