Jing-Hao Xue
18 papers · 2020–2025 · 10 conferences · across top CS/AI conferences
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Conferences
AAAI (3)
CVPR (3)
WACV (3)
ECCV (2)
UAI (2)
AISTATS (1)
ICLR (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
diffusion model
(3)
image generation
(3)
few-shot learning
(2)
dimension reduction
(2)
360-degree panorama
(2)
text-to-image synthesis
(2)
feature representation
(2)
gan inversion
(2)
transfer learning
(2)
prototype learning
(1)
bayesian inference
(1)
feature extraction
(1)
semi-supervised learning
(1)
self-supervised learning
(1)
image classification
(1)
image restoration
(1)
person re-identification
(1)
metric learning
(1)
image editing
(1)
multi-modal learning
(1)
Papers
360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation
WACV 2025
Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
CVPR 2025
Spatial-Contextual Discrepancy Information Compensation for GAN Inversion
AAAI 2024
UMBRAE: Unified Multimodal Brain Decoding
ECCV 2024
High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification
AAAI 2024
Reschedule Diffusion-based Bokeh Rendering
IJCAI 2024
DREAM: Visual Decoding From Reversing Human Visual System
WACV 2024
Customizing 360-Degree Panoramas Through Text-to-Image Diffusion Models
WACV 2024
Dimension reduction for high-dimensional small counts with KL divergence
UAI 2022
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
AAAI 2022
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
ECCV 2022
Dimension reduction for data with heterogeneous missingness
UAI 2021
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
CVPR 2021
Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data
CVPR 2021
Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification
AISTATS 2021
Towards Impartial Multi-task Learning
ICLR 2021
Group Fisher Pruning for Practical Network Compression
ICML 2021
Generalization Bound of Gradient Descent for Non-Convex Metric Learning
NIPS 2020