Multidirectional Conjugate Gradients for Scalable Bundle Adjustment. - Simon Weber 002; Nikolaus Demmel; Daniel Cremers (GCPR, 2021)

Power Bundle Adjustment for Large-Scale 3D Reconstruction. - Simon Weber 002; Nikolaus Demmel; Daniel Cremers (CoRR, 2022)

Power Bundle Adjustment for Large-Scale 3D Reconstruction. - Simon Weber 002; Nikolaus Demmel; Tin Chon Chan; Daniel Cremers (CVPR, 2023)

Finsler-Laplace-Beltrami Operators with Application to Shape Analysis. - Simon Weber 002; Thomas Dagès; Maolin Gao; Daniel Cremers (CVPR, 2024)

Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball. - Simon Weber 002; Baris Zöngür; Nikita Araslanov; Daniel Cremers (CVPR, 2024)

Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment. - Simon Weber 002; Je Hyeong Hong; Daniel Cremers (ECCV (13), 2024)

Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincar 'e Ball. - Simon Weber 002; Baris Zöngür; Nikita Araslanov; Daniel Cremers (CoRR, 2024)

Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. - Thomas Dagès; Simon Weber 002; Ya-Wei Eileen Lin; Ronen Talmon; Daniel Cremers; Michael Lindenbaum; Alfred M. Bruckstein; Ron Kimmel (CVPR, 2025)

A Culturally-diverse Multilingual Multimodal Video Benchmark & Model. - Bhuiyan Sanjid Shafique; Ashmal Vayani; Muhammad Maaz 001; Hanoona Abdul Rasheed; Dinura Dissanayake; Mohammed Irfan Kurpath; Yahya Hmaiti; Go Inoue; Jean Lahoud; Md. Safirur Rashid; Shadid Intisar Quasem; Maheen Fatima; et al. (CoRR, 2025)