Heliang Zheng
15 papers · 2017–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (29)
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Century Club · Bronze
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Unstoppable · Bronze
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Research topics
Keywords
fine-grained image recognition
(3)
feature learning
(3)
vision transformer
(2)
semantic segmentation
(2)
convolutional neural network
(2)
knowledge distillation
(2)
image generation
(1)
attention mechanism
(1)
few-shot learning
(1)
self-supervised learning
(1)
image representation
(1)
weakly supervised learning
(1)
3d shape generation
(1)
image synthesis
(1)
semantic alignment
(1)
embedding learning
(1)
fine-grained classification
(1)
model fusion
(1)
text-to-image generation
(1)
self-attention mechanism
(1)
Papers
EI-Part:Explode for Completion and Implode for Refinement
CVPR 2026
MagicNaming: Consistent Identity Generation by Finding a “Name Space” in T2I Diffusion Models
AAAI 2025
Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm
ECCV 2024
Domain Re-Modulation for Few-Shot Generative Domain Adaptation
NeurIPS 2023
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models
ICCV 2023
Token Contrast for Weakly-Supervised Semantic Segmentation
CVPR 2023
Unified Discrete Diffusion for Simultaneous Vision-Language Generation
ICLR 2023
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs
ECCV 2022
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders
NeurIPS 2022
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
ICCV 2021
Learning Semantic-aware Normalization for Generative Adversarial Networks
NeurIPS 2020
Learning Deep Bilinear Transformation for Fine-grained Image Representation
NeurIPS 2019
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition
CVPR 2019
Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition
ICCV 2017
Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition
CVPR 2017