Dimitris Metaxas
53 papers · 2011–2026 · 13 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
Jump to papers ↓+10 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (84) π Conference Polyglot Β· Gold π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
(3)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Silver
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Silver
π
Trend Setter
ποΈ
Keyword Collector
(239)
Venues
Top co-authors
Research topics
Deep Learning
(35)
Computer Vision
(26)
Machine Learning
(24)
Models
(15)
Architectures
(14)
Learning Types Β· Deep Learning
(14)
Analysis
(12)
Core Methods
(10)
Learning Types Β· Machine Learning
(10)
Optimization & Theory
(10)
Generation
(9)
Application Areas
(7)
Processing
(7)
Artificial Intelligence
(6)
Core AI
(6)
Keywords
diffusion model
(8)
image generation
(4)
generative adversarial network
(4)
object detection
(4)
image reconstruction
(3)
deep learning
(3)
video generation
(3)
motion estimation
(3)
cardiac imaging
(3)
medical imaging
(3)
convolutional neural network
(3)
transformer architecture
(2)
label noise
(2)
3d reconstruction
(2)
human pose estimation
(2)
singular value decomposition
(2)
semantic segmentation
(2)
stochastic gradient descent
(2)
unsupervised learning
(2)
representation learning
(2)
Papers
Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation
WACV 2026
An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning
CVPR 2026
Multi-Patch Global-to-Local Transformer Architecture For Efficient Flow Matching and Diffusion Model
CVPR 2026
Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation
WACV 2025
RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
MICCAI 2025
SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models
WACV 2025
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification
MICCAI 2024
AVID: Any-Length Video Inpainting with Diffusion Model
CVPR 2024
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
NeurIPS 2024
ProxEdit: Improving Tuning-Free Real Image Editing With Proximal Guidance
WACV 2024
Score-Guided Diffusion for 3D Human Recovery
CVPR 2024
Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting
WACV 2024
SF-V: Single Forward Video Generation Model
NeurIPS 2024
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators
WACV 2024
Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration
WACV 2024
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction
NeurIPS 2023
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging
ICCV 2023
OmniLabel: A Challenging Benchmark for Language-Based Object Detection
ICCV 2023
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
ICCV 2023
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
WACV 2022
Global Matching With Overlapping Attention for Optical Flow Estimation
CVPR 2022
Learned Half-Quadratic Splitting Network for MR Image Reconstruction
MIDL 2022
Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning
CVPR 2022
Deep Animation Video Interpolation in the Wild
CVPR 2021
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images
CVPR 2021
Improved Transformer for High-Resolution GANs
NeurIPS 2021
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization
CVPR 2021
Oriented Object Detection in Aerial Images With Box Boundary-Aware Vectors
WACV 2021
A Topological Filter for Learning with Label Noise
NeurIPS 2020
Deep Subspace Clustering with Data Augmentation
NeurIPS 2020
Error-Bounded Correction of Noisy Labels
ICML 2020
Learn distributed GAN with Temporary Discriminators
ECCV 2020
Local Regularizer Improves Generalization
AAAI 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
NeurIPS 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
ECCV 2020
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
AAAI 2020
Dynamic MRI Reconstruction with Motion-Guided Network
MIDL 2019
Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction
IJCAI 2019
Point Cloud Processing via Recurrent Set Encoding
AAAI 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs
NeurIPS 2019
Self-Attention Generative Adversarial Networks
ICML 2019
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes
IJCAI 2019
Improving GANs Using Optimal Transport
ICLR 2018
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
CVPR 2018
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation
ECCV 2018
Quantized Densely Connected U-Nets for Efficient Landmark Localization
ECCV 2018
Show Me a Story: Towards Coherent Neural Story Illustration
CVPR 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
NeurIPS 2014
Computing the M Most Probable Modes of a Graphical Model
AISTATS 2013
Handling Noise in Single Image Deblurring Using Directional Filters
CVPR 2013
Learning with Structured Sparsity
JMLR 2011