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Dimitris Metaxas

51 papers · 2011–2026 · 13 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (83) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (15) 🧬 Topic Evolution πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (11) πŸš€ Conference Pioneer πŸ’Ž Century Club (51) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (224)

Conferences

CVPR (12) NIPS (9) WACV (9) ECCV (4) AAAI (3) ICCV (3) ICML (2) IJCAI (2) MICCAI (2) MIDL (2) AISTATS (1) ICLR (1) JMLR (1)

Top co-authors

Ligong Han (9) Chao Chen (9) Xi Peng (6) Pengxiang Wu (6) Long Zhao (6) Yunhe Gao (5) Hui Qu (5) Leon Axel (5) Zhixing Zhang (5) Han Zhang (5)

Keywords

diffusion model (7) object detection (4) image generation (3) video generation (3) convolutional neural network (3) cardiac imaging (3) image reconstruction (3) medical imaging (3) deep learning (3) motion estimation (3) generative adversarial network (3) graphical model (2) singular value decomposition (2) 3d reconstruction (2) generative model (2) human pose estimation (2) semantic segmentation (2) bayesian inference (2) unsupervised learning (2) point cloud (2)

Papers

Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation WACV 2026
SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models WACV 2025
RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment MICCAI 2025
Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation WACV 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NIPS 2024
SF-V: Single Forward Video Generation Model NIPS 2024
Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting WACV 2024
Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration WACV 2024
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators WACV 2024
Score-Guided Diffusion for 3D Human Recovery CVPR 2024
AVID: Any-Length Video Inpainting with Diffusion Model CVPR 2024
ProxEdit: Improving Tuning-Free Real Image Editing With Proximal Guidance WACV 2024
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification MICCAI 2024
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging ICCV 2023
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction NIPS 2023
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning ICCV 2023
OmniLabel: A Challenging Benchmark for Language-Based Object Detection ICCV 2023
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders WACV 2022
Global Matching With Overlapping Attention for Optical Flow Estimation CVPR 2022
Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning CVPR 2022
Learned Half-Quadratic Splitting Network for MR Image Reconstruction MIDL 2022
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images CVPR 2021
Improved Transformer for High-Resolution GANs NIPS 2021
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization CVPR 2021
Deep Animation Video Interpolation in the Wild CVPR 2021
Oriented Object Detection in Aerial Images With Box Boundary-Aware Vectors WACV 2021
Error-Bounded Correction of Noisy Labels ICML 2020
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons AAAI 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge ECCV 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness NIPS 2020
A Topological Filter for Learning with Label Noise NIPS 2020
Learn distributed GAN with Temporary Discriminators ECCV 2020
Deep Subspace Clustering with Data Augmentation NIPS 2020
Local Regularizer Improves Generalization AAAI 2020
Point Cloud Processing via Recurrent Set Encoding AAAI 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs NIPS 2019
Self-Attention Generative Adversarial Networks ICML 2019
Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction IJCAI 2019
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes IJCAI 2019
Dynamic MRI Reconstruction with Motion-Guided Network MIDL 2019
Quantized Densely Connected U-Nets for Efficient Landmark Localization ECCV 2018
Show Me a Story: Towards Coherent Neural Story Illustration CVPR 2018
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation CVPR 2018
Improving GANs Using Optimal Transport ICLR 2018
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation ECCV 2018
Semantic Amodal Segmentation CVPR 2017
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition CVPR 2016
Mode Estimation for High Dimensional Discrete Tree Graphical Models NIPS 2014
Handling Noise in Single Image Deblurring Using Directional Filters CVPR 2013
Computing the M Most Probable Modes of a Graphical Model AISTATS 2013
Learning with Structured Sparsity JMLR 2011