Simon Weber

15 papers A* 5Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Harnessing Data Asymmetry: Manifold Learning in the Finsler World.
CoRR
Thomas Dagès, Simon Weber, Daniel Cremers, Ron Kimmel
2025 A* conf
A Culturally-diverse Multilingual Multimodal Video Benchmark & Model.
EMNLP
Bhuiyan Sanjid Shafique, Ashmal Vayani, Muhammad Maaz, Hanoona Abdul Rasheed, Dinura Dissanayake, Mohammed Irfan Kurpath, Yahya Hmaiti, Go Inoue, Jean Lahoud, Md. Safirur Rashid, Shadid Intisar Quasem, Maheen Fatima, Franco Vidal, Mykola Maslych, Ketan Pravin More, Sanoojan Baliah, Hasindri Watawana, Yuhao Li, Fabian Farestam, Leon Schaller, Roman Tymtsiv, Simon Weber, Hisham Cholakkal, Ivan Laptev, Shin'ichi Satoh, Michael Felsberg, Mubarak Shah, Salman H. Khan, Fahad Shahbaz Khan
2025 J jnl
A Culturally-diverse Multilingual Multimodal Video Benchmark & Model.
CoRR
Bhuiyan Sanjid Shafique, Ashmal Vayani, Muhammad Maaz, Hanoona Abdul Rasheed, Dinura Dissanayake, Mohammed Irfan Kurpath, Yahya Hmaiti, Go Inoue, Jean Lahoud, Md. Safirur Rashid, Shadid Intisar Quasem, Maheen Fatima, Franco Vidal, Mykola Maslych, Ketan More, Sanoojan Baliah, Hasindri Watawana, Yuhao Li, Fabian Farestam, Leon Schaller, Roman Tymtsiv, Simon Weber, Hisham Cholakkal, Ivan Laptev, Shin'ichi Satoh, Michael Felsberg, Mubarak Shah, Salman H. Khan, Fahad Shahbaz Khan
2025 A* conf
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding.
CVPR
Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2025 J jnl
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding.
CoRR
Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2024 A* conf
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis.
CVPR
Simon Weber, Thomas Dagès, Maolin Gao, Daniel Cremers
2024 J jnl
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis.
CoRR
Simon Weber, Thomas Dagès, Maolin Gao, Daniel Cremers
2024 J jnl
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincar\'e Ball.
CoRR
Simon Weber, Baris Zöngür, Nikita Araslanov, Daniel Cremers
2024 A* conf
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball.
CVPR
Simon Weber, Baris Zöngür, Nikita Araslanov, Daniel Cremers
2024 — conf
Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment.
ECCV (13)
Simon Weber, Je Hyeong Hong, Daniel Cremers
2024 J jnl
Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment.
CoRR
Simon Weber, Je Hyeong Hong, Daniel Cremers
2023 A* conf
Power Bundle Adjustment for Large-Scale 3D Reconstruction.
CVPR
Simon Weber, Nikolaus Demmel, Tin Chon Chan, Daniel Cremers
2022 J jnl
Power Bundle Adjustment for Large-Scale 3D Reconstruction.
CoRR
Simon Weber, Nikolaus Demmel, Daniel Cremers
2021 — conf
Multidirectional Conjugate Gradients for Scalable Bundle Adjustment.
GCPR
Simon Weber, Nikolaus Demmel, Daniel Cremers
2021 J jnl
Multidirectional Conjugate Gradients for Scalable Bundle Adjustment.
CoRR
Simon Weber, Nikolaus Demmel, Daniel Cremers