Lihe Zhang
33 papers · 2013–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (44) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(25)
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Topic Evolution
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Deep Specialist
(11)
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Silver
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(136)
Top co-authors
Research topics
Computer Vision
(20)
Analysis
(18)
Deep Learning
(14)
Processing
(12)
Machine Learning
(11)
Artificial Intelligence
(10)
Core AI
(9)
Learning Types Β· Deep Learning
(9)
Learning Types Β· Machine Learning
(9)
Architectures
(4)
Core Methods
(4)
Domain-Specific
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Techniques
(2)
Keywords
image segmentation
(9)
saliency detection
(7)
semantic segmentation
(4)
medical imaging
(4)
salient object detection
(4)
referring image segmentation
(3)
multimodal learning
(3)
convolutional neural network
(3)
feature fusion
(3)
visual attention
(2)
catastrophic overfitting
(2)
zero-shot learning
(2)
object detection
(2)
few-shot learning
(2)
adversarial training
(2)
feature aggregation
(2)
self-supervised learning
(1)
multi-task learning
(1)
scene understanding
(1)
anomaly detection
(1)
Papers
Complementary Prototype Mapping for Efficient Multimodal Anomaly Detection
CVPR 2026
DLVP-CLIP: Enhancing Fine-Grained Zero-Shot Anomaly Detection via Dynamic Local Visual Prompting
CVPR 2026
Mitigating Error Amplification in Fast Adversarial Training
CVPR 2026
PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis
AAAI 2026
UniMMAD: Unified Multi-Modal and Multi-Class Anomaly Detection via MoE-Driven Feature Decompression
CVPR 2026
High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity
ICLR 2025
Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation
CVPR 2025
Unified Medical Lesion Segmentation via Self-referring Indicator
CVPR 2025
UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model
MICCAI 2025
Catastrophic Overfitting: A Potential Blessing in Disguise
ECCV 2024
Multi-view Aggregation Network for Dichotomous Image Segmentation
CVPR 2024
Open-Vocabulary Camouflaged Object Segmentation
ECCV 2024
Spider: A Unified Framework for Context-dependent Concept Segmentation
ICML 2024
Towards Automatic Power Battery Detection: New Challenge Benchmark Dataset and Baseline
CVPR 2024
Adaptive Illumination Mapping for Shadow Detection in Raw Images
ICCV 2023
Fast Adversarial Training with Smooth Convergence
ICCV 2023
Referring Image Segmentation Using Text Supervision
ICCV 2023
Self-Supervised Pretraining for RGB-D Salient Object Detection
AAAI 2022
Zoom in and Out: A Mixed-Scale Triplet Network for Camouflaged Object Detection
CVPR 2022
Encoder Fusion Network With Co-Attention Embedding for Referring Image Segmentation
CVPR 2021
Bi-Directional Relationship Inferring Network for Referring Image Segmentation
CVPR 2020
Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection
ECCV 2020
Multi-Scale Interactive Network for Salient Object Detection
CVPR 2020
Suppress and Balance: A Simple Gated Network for Salient Object Detection
ECCV 2020
Deep Learning for Light Field Saliency Detection
ICCV 2019
Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation
ICCV 2019
Multi-Source Weak Supervision for Saliency Detection
CVPR 2019
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection
CVPR 2018
Learning to Promote Saliency Detectors
CVPR 2018
A Stagewise Refinement Model for Detecting Salient Objects in Images
ICCV 2017
Saliency Detection via Absorbing Markov Chain
ICCV 2013
Saliency Detection via Dense and Sparse Reconstruction
ICCV 2013
Saliency Detection via Graph-Based Manifold Ranking
CVPR 2013