ML Anthology
Authors
Search
About
Paulitsch, Michael
10 publications
AAAI
2025
ConDo: Continual Domain Expansion for Absolute Pose Regression
Zijun Li
,
Zhipeng Cai
,
Bochun Yang
,
Xuelun Shen
,
Siqi Shen
,
Xiaoliang Fan
,
Michael Paulitsch
,
Cheng Wang
NeurIPS
2025
HoloScene: Simulation‑Ready Interactive 3D Worlds from a Single Video
Hongchi Xia
,
Chih-Hao Lin
,
Hao-Yu Hsu
,
Quentin Leboutet
,
Katelyn Gao
,
Michael Paulitsch
,
Benjamin Ummenhofer
,
Shenlong Wang
NeurIPS
2025
PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors
Yujin Chen
,
Yinyu Nie
,
Benjamin Ummenhofer
,
Reiner Birkl
,
Michael Paulitsch
,
Matthias Nießner
TMLR
2025
Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework
Nina Wiedemann
,
Sainan Liu
,
Quentin Leboutet
,
Katelyn Gao
,
Benjamin Ummenhofer
,
Michael Paulitsch
,
Kai Yuan
CVPR
2024
L-MAGIC: Language Model Assisted Generation of Images with Coherence
Zhipeng Cai
,
Matthias Mueller
,
Reiner Birkl
,
Diana Wofk
,
Shao-Yen Tseng
,
Junda Cheng
,
Gabriela Ben-Melech Stan
,
Vasudev Lai
,
Michael Paulitsch
NeurIPS
2024
MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs
Quentin Leboutet
,
Nina Wiedemann
,
Zhipeng Cai
,
Michael Paulitsch
,
Kai Yuan
ECCV
2024
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation
Yujin Chen
,
Yinyu Nie
,
Benjamin Ummenhofer
,
Reiner Birkl
,
Michael Paulitsch
,
Matthias Müller
,
Matthias Niessner
CVPRW
2024
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection Using Budding Ensemble Architecture for Object Detection
Syed Sha Qutub
,
Michael Paulitsch
,
Kay-Ulrich Scholl
,
Neslihan Köse Cihangir
,
Korbinian Hagn
,
Fabian Oboril
,
Gereon Hinz
,
Alois Knoll
ICCVW
2023
Assessing the Impact of Diversity on the Resilience of Deep Learning Ensembles: A Comparative Study on Model Architecture, Output, Activation, and Attribution
Rafael Rosales
,
Pablo Munoz
,
Michael Paulitsch
ECCVW
2022
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization
Neslihan Kose
,
Ranganath Krishnan
,
Akash Dhamasia
,
Omesh Tickoo
,
Michael Paulitsch