Lihe Zhang
29 papers · 2013–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (9) 🏃 Academic Marathon (12) 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)
🌈
Renaissance Researcher
(7)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(12)
🤝
Dynamic Duo
(23)
🔬
Deep Specialist
(10)
🧬
Topic Evolution
🗃️
Keyword Collector
(109)
📈
Trend Setter
⚡
Prolific Year
(5)
🚀
Conference Pioneer
🔥
Unstoppable
(9)
💎
Century Club
(28)
Conferences
CVPR (12)
ICCV (8)
ECCV (4)
AAAI (2)
ICLR (1)
ICML (1)
MICCAI (1)
Top co-authors
Keywords
image segmentation
(8)
saliency detection
(7)
salient object detection
(4)
medical imaging
(4)
semantic segmentation
(4)
referring image segmentation
(3)
convolutional neural network
(3)
feature fusion
(3)
object detection
(2)
feature aggregation
(2)
multi-modal learning
(2)
multimodal learning
(2)
visual attention
(2)
self-supervised learning
(1)
multi-task learning
(1)
scene understanding
(1)
semi-supervised learning
(1)
image restoration
(1)
multi-source learning
(1)
adversarial learning
(1)
Papers
PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis
AAAI 2026
Unified Medical Lesion Segmentation via Self-referring Indicator
CVPR 2025
Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation
CVPR 2025
UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model
MICCAI 2025
High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity
ICLR 2025
Open-Vocabulary Camouflaged Object Segmentation
ECCV 2024
Catastrophic Overfitting: A Potential Blessing in Disguise
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
Multi-view Aggregation Network for Dichotomous Image Segmentation
CVPR 2024
Referring Image Segmentation Using Text Supervision
ICCV 2023
Fast Adversarial Training with Smooth Convergence
ICCV 2023
Adaptive Illumination Mapping for Shadow Detection in Raw Images
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
Suppress and Balance: A Simple Gated Network for Salient Object Detection
ECCV 2020
Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection
ECCV 2020
Multi-Scale Interactive Network for Salient Object Detection
CVPR 2020
Bi-Directional Relationship Inferring Network for Referring Image Segmentation
CVPR 2020
Multi-Source Weak Supervision for Saliency Detection
CVPR 2019
Deep Learning for Light Field Saliency Detection
ICCV 2019
Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation
ICCV 2019
Learning to Promote Saliency Detectors
CVPR 2018
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection
CVPR 2018
A Stagewise Refinement Model for Detecting Salient Objects in Images
ICCV 2017
Saliency Detection via Graph-Based Manifold Ranking
CVPR 2013
Saliency Detection via Dense and Sparse Reconstruction
ICCV 2013
Saliency Detection via Absorbing Markov Chain
ICCV 2013