Michael Kampffmeyer
15 papers · 2019–2025 · 9 venues · across top CS/AI venues
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Deep Learning
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Machine Learning
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Computer Vision
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Artificial Intelligence
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Core AI
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Generation
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Learning Types Β· Deep Learning
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Domain-Specific
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Knowledge & Reasoning
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Keywords
virtual try-on
(3)
variational autoencoder
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vision-language model
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image classification
(1)
zero-shot learning
(1)
image generation
(1)
contrastive learning
(1)
prototype learning
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data augmentation
(1)
depth estimation
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monocular depth estimation
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video retrieval
(1)
gaussian splatting
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deep learning
(1)
motion generation
(1)
label smoothing
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hierarchical structure
(1)
knowledge graph
(1)
uncertainty quantification
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3d reconstruction
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Papers
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
ICML 2025
ProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval
EMNLP 2025
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
MICCAI 2025
Robust Classification by Coupling Data Mollification with Label Smoothing
AISTATS 2025
Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes
ICLR 2025
Tied Prototype Model for Few-Shot Medical Image Segmentation
MICCAI 2025
UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting
ICLR 2025
VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
MICCAI 2025
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
NeurIPS 2022
Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning
NeurIPS 2022
M3D-VTON: A Monocular-to-3D Virtual Try-On Network
ICCV 2021
Reconsidering Representation Alignment for Multi-View Clustering
CVPR 2021
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN
NeurIPS 2021
SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks
ECCV 2020
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
CVPR 2019