Zhun Zhong
52 papers · 2017–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (11)
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Cross-Pollinator
(11)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(83)
π¬
Deep Specialist
(11)
π€
Dynamic Duo
(27)
π
Triple Crown
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Keyword Champion
(5)
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Grand Slam
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Conference Pioneer
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Century Club
(51)
π₯
Unstoppable
(9)
ποΈ
Keyword Collector
(178)
β‘
Prolific Year
(5)
Conferences
CVPR (19)
AAAI (10)
ECCV (7)
NIPS (6)
ICCV (3)
ICLR (2)
ICML (2)
IJCAI (2)
EMNLP (1)
Top co-authors
Keywords
person re-identification
(11)
semantic segmentation
(9)
domain adaptation
(8)
semi-supervised learning
(7)
category discovery
(5)
domain generalization
(5)
contrastive learning
(4)
representation learning
(4)
novel class discovery
(4)
generalized category discovery
(4)
adversarial attack
(3)
feature learning
(3)
unsupervised learning
(3)
pseudo labeling
(3)
self-supervised learning
(3)
multi-view learning
(2)
gaussian mixture model
(2)
knowledge distillation
(2)
data augmentation
(2)
object detection
(2)
Papers
Open-World Deepfake Attribution via Confidence-Aware Asymmetric Learning
AAAI 2026
ASAP: Advancing Semantic Alignment Promotes Multi-Modal Manipulation Detecting and Grounding
CVPR 2025
Noisy Test-Time Adaptation in Vision-Language Models
ICLR 2025
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
CVPR 2025
Pseudo-SD: Pseudo Controlled Stable Diffusion for Semi-Supervised and Cross-Domain Semantic Segmentation
ICCV 2025
Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery
ICCV 2025
FakeSV-VLM: Taming VLM for Detecting Fake Short-Video News via Progressive Mixture-Of-Experts Adapter
EMNLP 2025
Towards Micro-Action Recognition with Limited Annotations: An Asynchronous Pseudo Labeling and Training Approach
IJCAI 2025
Feature Spectrum Learning for Remote Sensing Change Detection
CVPR 2025
ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model
AAAI 2025
Knowledge Swapping via Learning and Unlearning
ICML 2025
Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery
AAAI 2025
Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery
ECCV 2024
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery
NIPS 2024
Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture
CVPR 2024
ReMamber: Referring Image Segmentation with Mamba Twister
ECCV 2024
Federated Generalized Category Discovery
CVPR 2024
Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation
CVPR 2024
Active Generalized Category Discovery
CVPR 2024
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint)
IJCAI 2024
Cross-Modality Perturbation Synergy Attack for Person Re-identification
NIPS 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
NIPS 2024
Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters
NIPS 2024
Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification
AAAI 2024
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
ICML 2024
Democratizing Fine-grained Visual Recognition with Large Language Models
ICLR 2024
Learning to Distinguish Samples for Generalized Category Discovery
ECCV 2024
Dynamic Conceptional Contrastive Learning for Generalized Category Discovery
CVPR 2023
Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning
NIPS 2023
Cross-Modality Earth Moverβs Distance for Visible Thermal Person Re-identification
AAAI 2023
Exploring Non-target Knowledge for Improving Ensemble Universal Adversarial Attacks
AAAI 2023
Multi-View Domain Adaptive Object Detection on Camera Networks
AAAI 2023
Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation
CVPR 2023
Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures
CVPR 2023
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
ECCV 2022
Class-Incremental Novel Class Discovery
ECCV 2022
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation
NIPS 2022
Novel Class Discovery in Semantic Segmentation
CVPR 2022
3D-Aware Semantic-Guided Generative Model for Human Synthesis
ECCV 2022
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World
CVPR 2021
Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning
AAAI 2021
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification
CVPR 2021
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
CVPR 2021
Neighborhood Contrastive Learning for Novel Class Discovery
CVPR 2021
A Unified Objective for Novel Class Discovery
ICCV 2021
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification
CVPR 2021
Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification
AAAI 2020
Random Erasing Data Augmentation
AAAI 2020
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification
CVPR 2019
Generalizing A Person Retrieval Model Hetero- and Homogeneously
ECCV 2018
Camera Style Adaptation for Person Re-Identification
CVPR 2018
Re-Ranking Person Re-Identification With k-Reciprocal Encoding
CVPR 2017