Daniel Cremers

Daniel Cremers

Technische Universität München

H-index: 117

Europe-Germany

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:

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

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

Variational Learning is Effective for Large Deep Networks

Partial-to-Partial Shape Matching with Geometric Consistency

FIRe: Fast inverse rendering using directional and signed distance functions

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

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization

Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations

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

Technische Universität München

Google Scholar

View Google Scholar Profile

Daniel Cremers Skills & Research Interests

Computer Vision

Machine Learning

Optimization

Robotics

Top articles of Daniel Cremers

Title

Journal

Author(s)

Publication Date

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

Ugur Sahin

Hang Li

Qadeer Khan

Daniel Cremers

Volker Tresp

2024

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

arXiv preprint arXiv:2404.00098

Mohammed Brahimi

Bjoern Haefner

Zhenzhang Ye

Bastian Goldluecke

Daniel Cremers

2024/3/29

Variational Learning is Effective for Large Deep Networks

arXiv preprint arXiv:2402.17641

Yuesong Shen

Nico Daheim

Bai Cong

Peter Nickl

Gian Maria Marconi

...

2024/2/27

Partial-to-Partial Shape Matching with Geometric Consistency

arXiv preprint arXiv:2404.12209

Viktoria Ehm

Maolin Gao

Paul Roetzer

Marvin Eisenberger

Daniel Cremers

...

2024/4/18

FIRe: Fast inverse rendering using directional and signed distance functions

arXiv preprint arXiv:2203.16284

Tarun Yenamandra

Ayush Tewari

Nan Yang

Florian Bernard

Christian Theobalt

...

2022/12/5

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

arXiv preprint arXiv:2403.16605

Aysim Toker

Marvin Eisenberger

Daniel Cremers

Laura Leal-Taixé

2024/3/25

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization

arXiv preprint arXiv:2402.16748

Zhenzhang Ye

Gabriel Peyré

Daniel Cremers

Pierre Ablin

2024/2/26

Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations

arXiv preprint arXiv:2404.10960

Christian Tomani

Kamalika Chaudhuri

Ivan Evtimov

Daniel Cremers

Mark Ibrahim

2024/4/16

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

arXiv preprint arXiv:2403.14594

Yun-Jin Li

Mariia Gladkova

Yan Xia

Rui Wang

Daniel Cremers

2024/3/21

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

Moritz Zaiss

Junaid R Rajput

Hoai N Dang

Vladimir Golkov

Daniel Cremers

...

2024/2/20

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

arXiv preprint arXiv:2404.07933

Keonhee Han

Dominik Muhle

Felix Wimbauer

Daniel Cremers

2024/4/11

Masked event modeling: Self-supervised pretraining for event cameras

Simon Klenk

David Bonello

Lukas Koestler

Nikita Araslanov

Daniel Cremers

2024

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

arXiv preprint arXiv:2401.14325

Dominik Rößle

Jeremias Gerner

Klaus Bogenberger

Daniel Cremers

Stefanie Schmidtner

...

2024/1/25

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

Neurocomputing

Dekai Zhu

Qadeer Khan

Daniel Cremers

2024/3/14

Finsler-Laplace-Beltrami Operators with Application to Shape Analysis

arXiv preprint arXiv:2404.03999

Simon Weber

Thomas Dagès

Maolin Gao

Daniel Cremers

2024/4/5

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

HN Dang

V Golkov

J Endres

S Weinmüller

F Glang

...

2024/5

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

Mohammed Brahimi

Bjoern Haefner

Tarun Yenamandra

Bastian Goldluecke

Daniel Cremers

2024

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

arXiv preprint arXiv:2401.09932

Mohamed Elrefaie

Steffen Hüttig

Mariia Gladkova

Timo Gericke

Daniel Cremers

...

2024/1/18

Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation

arXiv preprint arXiv:2402.18920

Dongliang Cao

Marvin Eisenberger

Nafie El Amrani

Daniel Cremers

Florian Bernard

2024/2/29

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

arXiv preprint arXiv:2404.03778

Simon Weber

Barış Zöngür

Nikita Araslanov

Daniel Cremers

2024/4/4

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

Co-Authors

H-index: 132
Wolfram Burgard

Wolfram Burgard

Albert-Ludwigs-Universität Freiburg

H-index: 101
Thomas Brox

Thomas Brox

Albert-Ludwigs-Universität Freiburg

H-index: 96
Horst Bischof

Horst Bischof

Technische Universität Graz

H-index: 67
Thomas Pock

Thomas Pock

Technische Universität Graz

H-index: 55
Christoph Schnörr

Christoph Schnörr

Ruprecht-Karls-Universität Heidelberg

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