Marc Niethammer

42 papers · 2014–2025 · 12 conferences · across top CS/AI conferences

Achievements

+16 more ↓

🌍 Conference Polyglot (12) 🏃 Academic Marathon (11) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (13)

🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (17) 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (25) 🔬 Deep Specialist (14) 🧬 Topic Evolution 🏆 Keyword Champion (7) 📈 Trend Setter 🗃️ Keyword Collector (154) 🚀 Conference Pioneer 🔥 Unstoppable (7) 💎 Century Club (42) ⚡ Prolific Year (5)

Conferences

CVPR (12) NIPS (8) ICML (5) ECCV (4) ICCV (3) MICCAI (3) ICLR (2) AAAI (1) AISTATS (1) JMLR (1) MIDL (1) WACV (1)

Top co-authors

Roland Kwitt (17) Francois-Xavier Vialard (7) Raul San Jose Estepar (5) Hastings Greer (5) Christoph Hofer (5) Lin Tian (5) Zhenlin Xu (5) Florian Graf (4) Qin Liu (4) Peirong Liu (4)

Keywords

image registration (7) medical imaging (5) persistent homology (5) neural network (5) semantic segmentation (4) topological data analysis (4) representation learning (4) deep learning (4) spatial transformation (2) diffeomorphic registration (2) graph neural network (2) transfer learning (2) feature learning (2) interactive segmentation (2) convolutional neural network (2) latent space (2) vision transformer (2) neural network optimization (2) one-shot learning (2) segment anything model (2)

Papers

CARL: A Framework for Equivariant Image Registration CVPR 2025 LiVOS: Light Video Object Segmentation with Gated Linear Matching CVPR 2025 Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Models MICCAI 2025 $\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation ICLR 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NIPS 2024 NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration ECCV 2024 Multimodal Image Registration Guided by Few Segmentations from One Modality MIDL 2024 Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts CVPR 2024 uniGradICON: A Foundation Model for Medical Image Registration MICCAI 2024 A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness MICCAI 2024 Joint Depth Prediction and Semantic Segmentation With Multi-View SAM WACV 2024 Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos ECCV 2024 Continuously Parameterized Mixture Models ICML 2023 GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency CVPR 2023 SimpleClick: Interactive Image Segmentation with Simple Vision Transformers ICCV 2023 Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning With Pairwise Alignment CVPR 2022 Deep Decomposition for Stochastic Normal-Abnormal Transport CVPR 2022 PseudoClick: Interactive Image Segmentation with Click Imitation ECCV 2022 On Measuring Excess Capacity in Neural Networks NIPS 2022 Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language NIPS 2022 Discovering Hidden Physics Behind Transport Dynamics CVPR 2021 Dissecting Supervised Contrastive Learning ICML 2021 Accurate Point Cloud Registration with Robust Optimal Transport NIPS 2021 ICON: Learning Regular Maps Through Inverse Consistency ICCV 2021 Local Temperature Scaling for Probability Calibration ICCV 2021 Robust and Generalizable Visual Representation Learning via Random Convolutions ICLR 2021 Graph Filtration Learning ICML 2020 Topologically Densified Distributions ICML 2020 Adversarial Data Augmentation via Deformation Statistics ECCV 2020 A shooting formulation of deep learning NIPS 2020 Deep Message Passing on Sets AAAI 2020 Learning Representations of Persistence Barcodes JMLR 2019 Region-specific Diffeomorphic Metric Mapping NIPS 2019 Networks for Joint Affine and Non-Parametric Image Registration CVPR 2019 Metric Learning for Image Registration CVPR 2019 Connectivity-Optimized Representation Learning via Persistent Homology ICML 2019 AGA: Attribute-Guided Augmentation CVPR 2017 Regression Uncertainty on the Grassmannian AISTATS 2017 Deep Learning with Topological Signatures NIPS 2017 One-Shot Learning of Scene Locations via Feature Trajectory Transfer CVPR 2016 Statistical Topological Data Analysis - A Kernel Perspective NIPS 2015 Scene Parsing with Object Instances and Occlusion Ordering CVPR 2014