Chenglong Zhao
14 papers · 2019–2026 · 5 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31)
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Deep Learning
(9)
Machine Learning
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Computer Vision
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Analysis
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Learning Types · Machine Learning
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Models
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Artificial Intelligence
(5)
Generation
(4)
Optimization & Theory · Machine Learning
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Keywords
palmprint recognition
(3)
image generation
(2)
adversarial attack
(2)
palm vein recognition
(2)
unsupervised learning
(2)
human pose estimation
(2)
biometric recognition
(2)
diffusion model
(2)
3d vascular tree
(2)
biometric authentication
(2)
feature learning
(1)
bayesian inference
(1)
data augmentation
(1)
sample complexity
(1)
bayesian learning
(1)
metric learning
(1)
representation learning
(1)
variational inference
(1)
synthetic data generation
(1)
domain generalization
(1)
Papers
LSAP-PV: High-Fidelity Palm Vein Image Synthesis via Layered Spectral Absorption Projection-Guided Diffusion Model
AAAI 2026
Diff-Palm: Realistic Palmprint Generation with Polynomial Creases and Intra-Class Variation Controllable Diffusion Models
CVPR 2025
PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks
AAAI 2025
Unified Adversarial Augmentation for Improving Palmprint Recognition
ICCV 2025
Object-Oriented Anchoring and Modal Alignment in Multimodal Learning
ECCV 2024
PCE-Palm: Palm Crease Energy Based Two-Stage Realistic Pseudo-Palmprint Generation
AAAI 2024
Exploring and Utilizing Pattern Imbalance
CVPR 2023
Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples
AAAI 2023
Towards Bridging Sample Complexity and Model Capacity
AAAI 2022
Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery
ICCV 2021
Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation
ICCV 2021
Learning Black-Box Attackers with Transferable Priors and Query Feedback
NeurIPS 2020
Variational Convolutional Neural Network Pruning
CVPR 2019
Variational Few-Shot Learning
ICCV 2019