Lihe Zhang

Orcid: 0000-0002-9241-1688

According to our database1, Lihe Zhang authored at least 99 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Referring Image Segmentation With Fine-Grained Semantic Funneling Infusion.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Towards Diverse Binary Segmentation via a Simple yet General Gated Network.
Int. J. Comput. Vis., October, 2024

Adaptive Multi-Source Predictor for Zero-Shot Video Object Segmentation.
Int. J. Comput. Vis., August, 2024

Learning From Box Annotations for Referring Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Adversarial Attacks on Scene Graph Generation.
IEEE Trans. Inf. Forensics Secur., 2024

Class correlation correction for unbiased scene graph generation.
Pattern Recognit., 2024

Neural image re-exposure.
Comput. Vis. Image Underst., 2024

High-Performance Few-Shot Segmentation with Foundation Models: An Empirical Study.
CoRR, 2024

Beyond Mask: Rethinking Guidance Types in Few-shot Segmentation.
CoRR, 2024

Spatial Semantic Recurrent Mining for Referring Image Segmentation.
CoRR, 2024

Separable Multi-Concept Erasure from Diffusion Models.
CoRR, 2024

Spider: A Unified Framework for Context-dependent Concept Segmentation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Catastrophic Overfitting: A Potential Blessing in Disguise.
Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and Baseline.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-View Aggregation Network for Dichotomous Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Temporal knowledge graph reasoning triggered by memories.
Appl. Intell., December, 2023

Referring Segmentation via Encoder-Fused Cross-Modal Attention Network.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Bidirectional Relationship Inferring Network for Referring Image Localization and Segmentation.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection.
IEEE Trans. Image Process., 2023

Lane Detection with Versatile AtrousFormer and Local Semantic Guidance.
Pattern Recognit., 2023

Local-global coordination with transformers for referring image segmentation.
Neurocomputing, 2023

EipFormer: Emphasizing Instance Positions in 3D Instance Segmentation.
CoRR, 2023

Open-Vocabulary Camouflaged Object Segmentation.
CoRR, 2023

ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection.
CoRR, 2023

ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer.
CoRR, 2023

3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPW.
CoRR, 2023

M<sup>2</sup>SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation.
CoRR, 2023

Growth Simulation Network for Polyp Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Only Classification Head Is Sufficient for Medical Image Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Progressively Coupling Network for Brain MRI Registration in Few-Shot Situation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Fast Adversarial Training with Smooth Convergence.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Illumination Mapping for Shadow Detection in Raw Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Referring Image Segmentation Using Text Supervision.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction.
IEEE Trans. Image Process., 2022

Encoder deep interleaved network with multi-scale aggregation for RGB-D salient object detection.
Pattern Recognit., 2022

Learning to Detect Salient Object With Multi-Source Weak Supervision.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deeply Interleaved Two-Stream Encoder for Referring Video Segmentation.
CoRR, 2022

Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection.
CoRR, 2022

Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Semantics-Adding Flaw-Erasing Network for Semantic Human Matting.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Self-Supervised Pretraining for RGB-D Salient Object Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
TransCMD: Cross-Modal Decoder Equipped with Transformer for RGB-D Salient Object Detection.
CoRR, 2021

MODNet-V: Improving Portrait Video Matting via Background Restoration.
CoRR, 2021

Self-Supervised Representation Learning for RGB-D Salient Object Detection.
CoRR, 2021

Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Automatic Polyp Segmentation via Multi-scale Subtraction Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Encoder Fusion Network With Co-Attention Embedding for Referring Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A Multistage Refinement Network for Salient Object Detection.
IEEE Trans. Image Process., 2020

Visual Saliency Detection via Kernelized Subspace Ranking With Active Learning.
IEEE Trans. Image Process., 2020

Salient object detection via double random walks with dual restarts.
Image Vis. Comput., 2020

CACNet: Salient object detection via context aggregation and contrast embedding.
Neurocomputing, 2020

Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2020

A Single Stream Network for Robust and Real-Time RGB-D Salient Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Suppress and Balance: A Simple Gated Network for Salient Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Multi-Scale Interactive Network for Salient Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Bi-Directional Relationship Inferring Network for Referring Image Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Edge-Aware Convolution Neural Network Based Salient Object Detection.
IEEE Signal Process. Lett., 2019

Language-aware weak supervision for salient object detection.
Pattern Recognit., 2019

Salient object detection by local and global manifold regularized SVM model.
Neurocomputing, 2019

Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Learning for Light Field Saliency Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Multi-Source Weak Supervision for Saliency Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Saliency Detection via Absorbing Markov Chain With Learnt Transition Probability.
IEEE Trans. Image Process., 2018

Salient object detection via proposal selection.
Neurocomputing, 2018

Deep multi-level networks with multi-task learning for saliency detection.
Neurocomputing, 2018

Learning to Promote Saliency Detectors.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Detect Globally, Refine Locally: A Novel Approach to Saliency Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Salient Object Detection via Multiple Instance Learning.
IEEE Trans. Image Process., 2017

Ranking Saliency.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Study on Potency of Controlling on Crematogaster Rogenhoferi to Parasaissetia Nigra Nietner.
Proceedings of the Computational Intelligence and Intelligent Systems, 2017

Application of Plant-Derived Anti Repellents in Prevention and Cure of Parasaissetia Nigra Nietner.
Proceedings of the Computational Intelligence and Intelligent Systems, 2017

Saliency Detection by Unifying Regression and Propagation.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

A Stagewise Refinement Model for Detecting Salient Objects in Images.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Sparse Hashing Tracking.
IEEE Trans. Image Process., 2016

Dense and Sparse Reconstruction Error Based Saliency Descriptor.
IEEE Trans. Image Process., 2016

Discriminative Hash Tracking With Group Sparsity.
IEEE Trans. Cybern., 2016

Salient object detection via point-to-set metric learning.
Pattern Recognit. Lett., 2016

Video anomaly detection based on locality sensitive hashing filters.
Pattern Recognit., 2016

Combining motion and appearance cues for anomaly detection.
Pattern Recognit., 2016

Kernelized Subspace Ranking for Saliency Detection.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Salient Object Detection with Higher Order Potentials and Learning Affinity.
IEEE Signal Process. Lett., 2015

CRF-Based Figure/Ground Segmentation with Pixel-Level Sparse Coding and Neighborhood Interactions.
J. Inform. and Commun. Convergence Engineering, 2015

Saliency detection via sparse reconstruction and joint label inference in multiple features.
Neurocomputing, 2015

Multi-level K-means clustering and group sparse coding with quasi-SIFT feature for image classification.
Int. J. Inf. Commun. Technol., 2015

Visual tracking with astructured local model.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Visual tracking via guided filter.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Saliency Detection with Multi-Scale Superpixels.
IEEE Signal Process. Lett., 2014

Low-rank decomposition and Laplacian group sparse coding for image classification.
Neurocomputing, 2014

2013
Graph-Regularized Saliency Detection With Convex-Hull-Based Center Prior.
IEEE Signal Process. Lett., 2013

Superpixel level object recognition under local learning framework.
Neurocomputing, 2013

Saliency Detection via Dense and Sparse Reconstruction.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Saliency Detection via Absorbing Markov Chain.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Saliency Detection via Graph-Based Manifold Ranking.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Image cosegmentation Based on Local and Global Level Set Methods.
Int. J. Image Graph., 2012

Low-rank, sparse matrix decomposition and group sparse coding for image classification.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Superpixel level object recognition under local learning framework.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Online sparse learning utilizing multi-feature combination for image classification.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2007
A Video Watermarking Scheme Resistant to Synchronization Attacks Based on Statistics and Shot Segmentation.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007


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