← Authors

Marc Niethammer

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

Achievements

🌍 Conference Polyglot (12) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (64) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (17) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (25) πŸ”¬ Deep Specialist (14) 🧬 Topic Evolution πŸ† Keyword Champion (7) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (154) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (7) πŸ’Ž 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