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Dimitris Metaxas

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

Achievements

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+12 more ↓ 🏃 Academic Marathon (15) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (8)
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) 🏃 Academic Marathon (15) 🧬 Topic Evolution 🏆 Grand Slam 🏆 Keyword Champion (2) 🔥 Unstoppable (11) 🚀 Conference Pioneer 💎 Century Club (51) Prolific Year (5) 📈 Trend Setter 🗃️ 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)

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