Zhun Zhong

papers

1,719

total citations

papers (29)

A Unified Objective for Novel Class Discovery

ICCV 2021arXiv

233

citations

Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification

CVPR 2021arXiv

230

citations

Neighborhood Contrastive Learning for Novel Class Discovery

CVPR 2021arXiv

180

citations

Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation

ECCV 2022arXiv

146

citations

OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World

CVPR 2021arXiv

138

citations

Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification

CVPR 2021arXiv

128

citations

Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture

CVPR 2024arXiv

citations

Active Generalized Category Discovery

CVPR 2024arXiv

citations

Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection

ICML 2024arXiv

citations

Federated Generalized Category Discovery

CVPR 2024arXiv

citations

ASAP: Advancing Semantic Alignment Promotes Multi-Modal Manipulation Detecting and Grounding

CVPR 2025arXiv

citations

FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation

CVPR 2025arXiv

citations

ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model

AAAI 2025arXiv

citations

Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification

AAAI 2024

citations

Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation

CVPR 2024arXiv

citations

Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery

ICCV 2025arXiv

citations

Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery

AAAI 2025arXiv

citations

Feature Spectrum Learning for Remote Sensing Change Detection

CVPR 2025

citations

Pseudo-SD: Pseudo Controlled Stable Diffusion for Semi-Supervised and Cross-Domain Semantic Segmentation

ICCV 2025

citations

Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation

CVPR 2023

citations

Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning

NEURIPS 2023

citations

Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures

CVPR 2023

citations

Zhun Zhong

papers (29)

A Unified Objective for Novel Class Discovery

Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification

Neighborhood Contrastive Learning for Novel Class Discovery

Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation

OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World

Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification

Dynamic Conceptional Contrastive Learning for Generalized Category Discovery

Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation

Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation

Class-Incremental Novel Class Discovery

ReMamber: Referring Image Segmentation with Mamba Twister

3D-Aware Semantic-Guided Generative Model for Human Synthesis

Novel Class Discovery in Semantic Segmentation

Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture

Active Generalized Category Discovery

Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection

Federated Generalized Category Discovery

ASAP: Advancing Semantic Alignment Promotes Multi-Modal Manipulation Detecting and Grounding

FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation

ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model

Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification

Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation

Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery

Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery

Feature Spectrum Learning for Remote Sensing Change Detection

Pseudo-SD: Pseudo Controlled Stable Diffusion for Semi-Supervised and Cross-Domain Semantic Segmentation

Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation

Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning

Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures

papers (29)

A Unified Objective for Novel Class Discovery

Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification

Neighborhood Contrastive Learning for Novel Class Discovery

Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation

OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World

Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification

Dynamic Conceptional Contrastive Learning for Generalized Category Discovery

Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation

Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation

Class-Incremental Novel Class Discovery

ReMamber: Referring Image Segmentation with Mamba Twister

3D-Aware Semantic-Guided Generative Model for Human Synthesis

Novel Class Discovery in Semantic Segmentation

Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture

Active Generalized Category Discovery

Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection

Federated Generalized Category Discovery

ASAP: Advancing Semantic Alignment Promotes Multi-Modal Manipulation Detecting and Grounding

FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation

ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model

Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification

Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation

Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery

Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery

Feature Spectrum Learning for Remote Sensing Change Detection

Pseudo-SD: Pseudo Controlled Stable Diffusion for Semi-Supervised and Cross-Domain Semantic Segmentation

Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation

Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning

Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures