Daniel Cremers

About Daniel Cremers

Daniel Cremers, With an exceptional h-index of 117 and a recent h-index of 80 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Computer Vision, Machine Learning, Optimization, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Masked event modeling: Self-supervised pretraining for event cameras

SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering

Joint sequence optimization beats pure neural network approaches for super-resolution TSE

A Perspective on Deep Vision Performance with Standard Image and Video Codecs

Partial-to-Partial Shape Matching with Geometric Consistency

Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations

Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation

Finsler-Laplace-Beltrami Operators with Application to Shape Analysis

Daniel Cremers Information

University

Position

___

Citations(all)

67671

Citations(since 2020)

37963

Cited By

45229

hIndex(all)

117

hIndex(since 2020)

80

i10Index(all)

432

i10Index(since 2020)

295

Email

University Profile Page

Google Scholar

Daniel Cremers Skills & Research Interests

Computer Vision

Machine Learning

Optimization

Robotics

Top articles of Daniel Cremers

Masked event modeling: Self-supervised pretraining for event cameras

2024

SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering

2024

Joint sequence optimization beats pure neural network approaches for super-resolution TSE

2024/5

A Perspective on Deep Vision Performance with Standard Image and Video Codecs

arXiv preprint arXiv:2404.12330

2024/4/18

Partial-to-Partial Shape Matching with Geometric Consistency

arXiv preprint arXiv:2404.12209

2024/4/18

Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations

arXiv preprint arXiv:2404.10960

2024/4/16

Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation

arXiv preprint arXiv:2404.07933

2024/4/11

Felix Wimbauer
Felix Wimbauer

H-Index: 1

Daniel Cremers
Daniel Cremers

H-Index: 77

Finsler-Laplace-Beltrami Operators with Application to Shape Analysis

arXiv preprint arXiv:2404.03999

2024/4/5

Thomas Dagès
Thomas Dagès

H-Index: 1

Daniel Cremers
Daniel Cremers

H-Index: 77

Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincar\'e Ball

arXiv preprint arXiv:2404.03778

2024/4/4

Nikita Araslanov
Nikita Araslanov

H-Index: 4

Daniel Cremers
Daniel Cremers

H-Index: 77

Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo

arXiv preprint arXiv:2404.00098

2024/3/29

SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation

arXiv preprint arXiv:2403.16605

2024/3/25

VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition

arXiv preprint arXiv:2403.14594

2024/3/21

Multi-vehicle trajectory prediction and control at intersections using state and intention information

Neurocomputing

2024/3/14

Daniel Cremers
Daniel Cremers

H-Index: 77

Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation

arXiv preprint arXiv:2402.18920

2024/2/29

Variational Learning is Effective for Large Deep Networks

arXiv preprint arXiv:2402.17641

2024/2/27

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization

arXiv preprint arXiv:2402.16748

2024/2/26

Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant: GPT4MR

2024/2/20

Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction

arXiv preprint arXiv:2401.14325

2024/1/25

Klaus Bogenberger
Klaus Bogenberger

H-Index: 20

Daniel Cremers
Daniel Cremers

H-Index: 77

Real-time and On-site Aerodynamics using Stereoscopic PIV and Deep Optical Flow Learning

arXiv preprint arXiv:2401.09932

2024/1/18

Mariia Gladkova
Mariia Gladkova

H-Index: 0

Daniel Cremers
Daniel Cremers

H-Index: 77

Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining

2024

See List of Professors in Daniel Cremers University(Technische Universität München)

Co-Authors

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