Non-parametric Single View Reconstruction of Curved Objects Using Convex Optimization. - Martin R. Oswald; Eno Töppe; Kalin Kolev; Daniel Cremers (DAGM-Symposium, 2009)

Image-Based 3D Modeling via Cheeger Sets. - Eno Töppe; Martin R. Oswald; Daniel Cremers; Carsten Rother (ACCV (1), 2010)

Silhouette-Based Variational Methods for Single View Reconstruction. - Eno Töppe; Martin R. Oswald; Daniel Cremers; Carsten Rother (Video Processing and Computational Video, 2010)

Fast and globally optimal single view reconstruction of curved objects. - Martin R. Oswald; Eno Töppe; Daniel Cremers (CVPR, 2012)

A Review of Geometry Recovery from a Single Image Focusing on Curved Object Reconstruction. - Martin R. Oswald; Eno Töppe; Claudia Nieuwenhuis; Daniel Cremers (Innovations for Shape Analysis, Models and Algorithms, 2013)

A Convex Relaxation Approach to Space Time Multi-view 3D Reconstruction. - Martin R. Oswald; Daniel Cremers (ICCV Workshops, 2013)

Surface Normal Integration for Convex Space-time Multi-view Reconstruction. - Martin R. Oswald; Daniel Cremers (BMVC, 2014)

Spatial and Temporal Interpolation of Multi-view Image Sequences. - Tobias Gurdan; Martin R. Oswald; Daniel Gurdan; Daniel Cremers (GCPR, 2014)

Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction. - Martin Ralf Oswald; Jan Stühmer; Daniel Cremers (ECCV (4), 2014)

Entropy Minimization for Convex Relaxation Approaches. - Mohamed Souiai; Martin R. Oswald; Youngwook Kee; Junmo Kim 002; Marc Pollefeys; Daniel Cremers (ICCV, 2015)

Convex Variational Methods for Single-View and Space-Time Multi-View Reconstruction. - Martin Ralf Oswald (2015)

Multi-Label Semantic 3D Reconstruction Using Voxel Blocks. - Ian Cherabier; Christian Häne; Martin R. Oswald; Marc Pollefeys (3DV, 2016)

Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization. - Fabio Maninchedda; Christian Häne; Martin R. Oswald; Marc Pollefeys (3DV, 2016)

A Symmetry Prior for Convex Variational 3D Reconstruction. - Pablo Speciale; Martin R. Oswald; Andrea Cohen; Marc Pollefeys (ECCV (8), 2016)

Symmetry-Aware Façade Parsing with Occlusions. - Andrea Cohen; Martin R. Oswald; Yanxi Liu 001; Marc Pollefeys (3DV, 2017)

Primitive-based Surface Regularization for Urban 3D Reconstruction. - Thomas Holzmann; Martin R. Oswald; Marc Pollefeys; Friedrich Fraundorfer; Horst Bischof (BMVC, 2017)

Fast 3D Reconstruction of Faces with Glasses. - Fabio Maninchedda; Martin R. Oswald; Marc Pollefeys (CVPR, 2017)

Consensus Maximization with Linear Matrix Inequality Constraints. - Pablo Speciale; Danda Pani Paudel; Martin R. Oswald; Till Kroeger; Luc Van Gool; Marc Pollefeys (CVPR, 2017)

Semantically Informed Multiview Surface Refinement. - Maros Blaha; Mathias Rothermel; Martin R. Oswald; Torsten Sattler; Audrey Richard; Jan Dirk Wegner; Marc Pollefeys; Konrad Schindler (ICCV, 2017)

2017 ICCV Challenge: Detecting Symmetry in the Wild. - Christopher Funk; Seungkyu Lee 001; Martin R. Oswald; Stavros Tsogkas; Wei Shen; Andrea Cohen; Sven J. Dickinson; Yanxi Liu 001 (ICCV Workshops, 2017)

Indoor Scan2BIM: Building information models of house interiors. - Srivathsan Murali; Pablo Speciale; Martin R. Oswald; Marc Pollefeys (IROS, 2017)

Real-Time View Correction for Mobile Devices. - Thomas Schöps; Martin R. Oswald; Pablo Speciale; Shuoran Yang; Marc Pollefeys (IEEE Trans. Vis. Comput. Graph., 2017)

Consensus Maximization for Semantic Region Correspondences. - Pablo Speciale; Danda Pani Paudel; Martin R. Oswald; Hayko Riemenschneider; Luc Van Gool; Marc Pollefeys (CVPR, 2018)

KloudNet: Deep Learning for Sky Image Analysis and Irradiance Forecasting. - Dinesh Pothineni; Martin R. Oswald; Jan Poland; Marc Pollefeys (GCPR, 2018)

Learning Priors for Semantic 3D Reconstruction. - Ian Cherabier; Johannes L. Schönberger; Martin R. Oswald; Marc Pollefeys; Andreas Geiger 001 (ECCV (12), 2018)

Learned Multi-View Texture Super-Resolution. - Audrey Richard; Ian Cherabier; Martin R. Oswald; Vagia Tsiminaki; Marc Pollefeys; Konrad Schindler (3DV, 2019)

Joint Multi-view Texture Super-resolution and Intrinsic Decomposition. - Vagia Tsiminaki; Wei Dong; Martin R. Oswald; Marc Pollefeys (BMVC, 2019)

Learning 3D Semantic Reconstruction on Octrees. - Xiaojuan Wang; Martin R. Oswald; Ian Cherabier; Marc Pollefeys (GCPR, 2019)

3D Instance Segmentation via Multi-Task Metric Learning. - Jean Lahoud; Bernard Ghanem; Martin R. Oswald; Marc Pollefeys (ICCV, 2019)

Learned Semantic Multi-Sensor Depth Map Fusion. - Denys Rozumnyi; Ian Cherabier; Marc Pollefeys; Martin R. Oswald (ICCV Workshops, 2019)

Scalable Point Cloud-based Reconstruction with Local Implicit Functions. - Sandro Lombardi; Martin R. Oswald; Marc Pollefeys (3DV, 2020)

KAPLAN: A 3D Point Descriptor for Shape Completion. - Audrey Richard; Ian Cherabier; Martin R. Oswald; Marc Pollefeys; Konrad Schindler (3DV, 2020)

Self-Supervised Learning of Non-Rigid Residual Flow and Ego-Motion. - Ivan Tishchenko; Sandro Lombardi; Martin R. Oswald; Marc Pollefeys (3DV, 2020)

Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas. - Xiaohu Lu; Zuoyue Li; Zhaopeng Cui; Martin R. Oswald; Marc Pollefeys; Rongjun Qin (CVPR, 2020)

RoutedFusion: Learning Real-Time Depth Map Fusion. - Silvan Weder; Johannes L. Schönberger; Marc Pollefeys; Martin R. Oswald (CVPR, 2020)

Handcrafted Outlier Detection Revisited. - Luca Cavalli; Viktor Larsson; Martin Ralf Oswald; Torsten Sattler; Marc Pollefeys (ECCV (19), 2020)

Online Invariance Selection for Local Feature Descriptors. - Rémi Pautrat; Viktor Larsson; Martin R. Oswald; Marc Pollefeys (ECCV (2), 2020)

Accurate Mapping and Planning for Autonomous Racing. - Leiv Andresen; Adrian Brandemuehl; Alex Hönger; Benson Kuan; Niclas Vödisch; Hermann Blum; Victor Reijgwart; Lukas Bernreiter; Lukas Schaupp; Jen Jen Chung; Mathias Bürki; Martin R. Oswald; et al. (IROS, 2020)

Fast and Accurate Mapping for Autonomous Racing. - Leiv Andresen; Adrian Brandemuehl; Alex Hönger; Benson Kuan; Niclas Vödisch; Hermann Blum; Victor Reijgwart; Lukas Bernreiter; Lukas Schaupp; Jen Jen Chung; Mathias Bürki; Martin R. Oswald; et al. (CoRR, 2020)

AdaLAM: Revisiting Handcrafted Outlier Detection. - Luca Cavalli; Viktor Larsson; Martin Ralf Oswald; Torsten Sattler; Marc Pollefeys (CoRR, 2020)

Semi-Supervised Learning of Multi-Object 3D Scene Representations. - Cathrin Elich; Martin R. Oswald; Marc Pollefeys; Jörg Stückler (CoRR, 2020)

Street-view Panoramic Video Synthesis from a Single Satellite Image. - Zuoyue Li; Zhaopeng Cui; Martin R. Oswald; Marc Pollefeys (CoRR, 2020)

FMODetect: Robust Detection and Trajectory Estimation of Fast Moving Objects. - Denys Rozumnyi; Jiri Matas; Filip Sroubek; Marc Pollefeys; Martin R. Oswald (CoRR, 2020)

Aerial Single-View Depth Completion With Image-Guided Uncertainty Estimation. - Lucas Teixeira; Martin R. Oswald; Marc Pollefeys; Margarita Chli (IEEE Robotics Autom. Lett., 2020)

NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis. - Zuria Bauer; Zuoyue Li; Sergio Orts-Escolano; Miguel Cazorla; Marc Pollefeys; Martin R. Oswald (3DV, 2021)

RealisticHands: A Hybrid Model for 3D Hand Reconstruction. - Michael Seeber; Roi Poranne; Marc Pollefeys; Martin R. Oswald (3DV, 2021)

Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes. - Ayça Takmaz; Danda Pani Paudel; Thomas Probst; Ajad Chhatkuli; Martin R. Oswald; Luc Van Gool (3DV, 2021)

DeepSurfels: Learning Online Appearance Fusion. - Marko Mihajlovic; Silvan Weder; Marc Pollefeys; Martin R. Oswald (CVPR, 2021)

SOLD2: Self-Supervised Occlusion-Aware Line Description and Detection. - Rémi Pautrat; Juan-Ting Lin; Viktor Larsson; Martin R. Oswald; Marc Pollefeys (CVPR, 2021)

DeFMO: Deblurring and Shape Recovery of Fast Moving Objects. - Denys Rozumnyi; Martin R. Oswald; Vittorio Ferrari; Jiri Matas; Marc Pollefeys (CVPR, 2021)

NeuralFusion: Online Depth Fusion in Latent Space. - Silvan Weder; Johannes L. Schönberger; Marc Pollefeys; Martin R. Oswald (CVPR, 2021)

Sat2Vid: Street-view Panoramic Video Synthesis from a Single Satellite Image. - Zuoyue Li; Zhenqiang Li 002; Zhaopeng Cui; Rongjun Qin; Marc Pollefeys; Martin R. Oswald (ICCV, 2021)

FMODetect: Robust Detection of Fast Moving Objects. - Denys Rozumnyi; Jirí Matas; Filip Sroubek; Marc Pollefeys; Martin R. Oswald (ICCV, 2021)

A New Approach to Orthopedic Surgery Planning Using Deep Reinforcement Learning and Simulation. - Joëlle Ackermann; Matthias Wieland 003; Armando Hoch; Reinhold Ganz; Jess Gerrit Snedeker; Martin R. Oswald; Marc Pollefeys; Patrick Oliver Zingg; Hooman Esfandiari; Philipp Fürnstahl (MICCAI (4), 2021)

Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects. - Denys Rozumnyi; Martin R. Oswald; Vittorio Ferrari; Marc Pollefeys (NeurIPS, 2021)

Realistic Hands: A Hybrid Model for 3D Hand Reconstruction. - Michael Seeber; Martin R. Oswald; Roi Poranne (CoRR, 2021)

Non-local Recurrent Regularization Networks for Multi-view Stereo. - Qingshan Xu 001; Martin R. Oswald; Wenbing Tao; Marc Pollefeys; Zhaopeng Cui (CoRR, 2021)

BoxeR: Box-Attention for 2D and 3D Transformers. - Duy-Kien Nguyen; Jihong Ju; Olaf Booij; Martin R. Oswald; Cees G. M. Snoek (CVPR, 2022)

Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos. - Denys Rozumnyi; Martin R. Oswald; Vittorio Ferrari; Marc Pollefeys (CVPR, 2022)

NICE-SLAM: Neural Implicit Scalable Encoding for SLAM. - Zihan Zhu; Songyou Peng; Viktor Larsson; Weiwei Xu; Hujun Bao; Zhaopeng Cui; Martin R. Oswald; Marc Pollefeys (CVPR, 2022)

NeuralMeshing: Differentiable Meshing of Implicit Neural Representations. - Mathias Vetsch; Sandro Lombardi; Marc Pollefeys; Martin R. Oswald (GCPR, 2022)

CompNVS: Novel View Synthesis with Scene Completion. - Zuoyue Li; Tianxing Fan; Zhenqiang Li 002; Zhaopeng Cui; Yoichi Sato 001; Marc Pollefeys; Martin R. Oswald (ECCV (1), 2022)

Learning Online Multi-sensor Depth Fusion. - Erik Sandström; Martin R. Oswald; Suryansh Kumar 001; Silvan Weder; Fisher Yu 001; Cristian Sminchisescu; Luc Van Gool (ECCV (32), 2022)

Photographic Visualization of Weather Forecasts with Generative Adversarial Networks. - Christian Sigg; Flavia Cavallaro; Tobias Günther; Martin R. Oswald (CoRR, 2022)

Detecting Objects with Graph Priors and Graph Refinement. - Aritra Bhowmik; Martin R. Oswald; Yu Wang 065; Nora Baka; Cees G. M. Snoek (CoRR, 2022)

Weakly supervised learning of multi-object 3D scene decompositions using deep shape priors. - Cathrin Elich; Martin R. Oswald; Marc Pollefeys; Joerg Stueckler (Comput. Vis. Image Underst., 2022)

A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes. - Davide Menini; Suryansh Kumar 001; Martin R. Oswald; Erik Sandström; Cristian Sminchisescu; Luc Van Gool (IEEE Robotics Autom. Lett., 2022)

DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients. - Rémi Pautrat; Daniel Barath; Viktor Larsson; Martin R. Oswald; Marc Pollefeys (CVPR, 2023)

Detecting Objects with Context-Likelihood Graphs and Graph Refinement. - Aritra Bhowmik; Yu Wang 065; Nora Baka; Martin R. Oswald; Cees G. M. Snoek (ICCV, 2023)

Tracking by 3D Model Estimation of Unknown Objects in Videos. - Denys Rozumnyi; Jirí Matas; Marc Pollefeys; Vittorio Ferrari; Martin R. Oswald (ICCV, 2023)

Point-SLAM: Dense Neural Point Cloud-based SLAM. - Erik Sandström; Yue Li 036; Luc Van Gool; Martin R. Oswald (ICCV, 2023)

Human from Blur: Human Pose Tracking from Blurry Images. - Yiming Zhao; Denys Rozumnyi; Jie Song 006; Otmar Hilliges; Marc Pollefeys; Martin R. Oswald (ICCV, 2023)

UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM. - Erik Sandström; Kevin Ta; Luc Van Gool; Martin R. Oswald (ICCV (Workshops), 2023)

Relational Prior Knowledge Graphs for Detection and Instance Segmentation. - Osman Ülger; Yu Wang 065; Ysbrand Galama; Sezer Karaoglu; Theo Gevers; Martin R. Oswald (ICCV (Workshops), 2023)

APNet: Urban-level Scene Segmentation of Aerial Images and Point Clouds. - Weijie Wei 001; Martin R. Oswald; Fatemeh Karimi Nejadasl; Theo Gevers (ICCV (Workshops), 2023)

Learning-based Relational Object Matching Across Views. - Cathrin Elich; Iro Armeni; Martin R. Oswald; Marc Pollefeys; Joerg Stueckler (ICRA, 2023)

The Drunkard's Odometry: Estimating Camera Motion in Deforming Scenes. - David Recasens; Martin R. Oswald; Marc Pollefeys; Javier Civera 001 (NeurIPS, 2023)

Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery. - Florentin Liebmann; Marco von Atzigen; Dominik Stütz; Julian Wolf 001; Lukas Zingg; Daniel Suter; Laura Leoty; Hooman Esfandiari; Jess Gerrit Snedeker; Martin R. Oswald; Marc Pollefeys; Mazda Farshad; et al. (CoRR, 2023)

Better Situational Graphs by Inferring High-level Semantic-Relational Concepts. - Jose Andres Millan-Romera; Hriday Bavle; Muhammad Shaheer; Martin R. Oswald; Holger Voos; José Luis Sánchez-López (CoRR, 2023)

SimPLR: A Simple and Plain Transformer for Object Detection and Segmentation. - Duy-Kien Nguyen; Martin R. Oswald; Cees G. M. Snoek (CoRR, 2023)

Revisiting Proposal-based Object Detection. - Aritra Bhowmik; Martin R. Oswald; Pascal Mettes; Cees G. M. Snoek (CoRR, 2023)

Self-Guided Open-Vocabulary Semantic Segmentation. - Osman Ülger; Maksymilian Kulicki; Yuki Asano 001; Martin R. Oswald (CoRR, 2023)

Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting. - Vladimir Yugay; Yue Li 036; Theo Gevers; Martin R. Oswald (CoRR, 2023)

NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM. - Zihan Zhu; Songyou Peng; Viktor Larsson; Zhaopeng Cui; Martin R. Oswald; Andreas Geiger 001; Marc Pollefeys (3DV, 2024)

Sat2Scene: 3D Urban Scene Generation from Satellite Images with Diffusion. - Zuoyue Li; Zhenqiang Li 002; Zhaopeng Cui; Marc Pollefeys; Martin R. Oswald (CVPR, 2024)

Loopy-SLAM: Dense Neural SLAM with Loop Closures. - Lorenzo Liso; Erik Sandström; Vladimir Yugay; Luc Van Gool; Martin R. Oswald (CVPR, 2024)

NeRFmentation: Improving Monocular Depth Estimation with NeRF-Based Data Augmentation. - Casimir Feldmann; Niall Siegenheim; Nikolas Hars; Lovro Rabuzin; Mert Ertugrul; Luca Wolfart; Marc Pollefeys; Zuria Bauer; Martin R. Oswald (ECCV Workshops (20), 2024)

WorldPose: A World Cup Dataset for Global 3D Human Pose Estimation. - Tianjian Jiang; Johsan Billingham; Sebastian Müksch; Juan Jose Zarate; Nicolas Evans; Martin R. Oswald; Marc Pollefeys; Otmar Hilliges; Manuel Kaufmann; Jie Song 006 (ECCV (19), 2024)

T-MAE : Temporal Masked Autoencoders for Point Cloud Representation Learning. - Weijie Wei 001; Fatemeh Karimi Nejadasl; Theo Gevers; Martin R. Oswald (ECCV (11), 2024)

R-MAE: Regions Meet Masked Autoencoders. - Duy-Kien Nguyen; Yanghao Li; Vaibhav Aggarwal; Martin R. Oswald; Alexander Kirillov; Cees G. M. Snoek; Xinlei Chen (ICLR, 2024)

Learning High-level Semantic-Relational Concepts for SLAM. - Jose Andres Millan-Romera; Hriday Bavle; Muhammad Shaheer; Martin R. Oswald; Holger Voos; José Luis Sánchez-López (IROS, 2024)

NeRFmentation: NeRF-based Augmentation for Monocular Depth Estimation. - Casimir Feldmann; Niall Siegenheim; Nikolas Hars; Lovro Rabuzin; Mert Ertugrul; Luca Wolfart; Marc Pollefeys; Zuria Bauer; Martin R. Oswald (CoRR, 2024)

How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey. - Fabio Tosi; Youmin Zhang 008; Ziren Gong; Erik Sandström; Stefano Mattoccia; Martin R. Oswald; Matteo Poggi (CoRR, 2024)

GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM. - Ganlin Zhang; Erik Sandström; Youmin Zhang 008; Manthan Patel; Luc Van Gool; Martin R. Oswald (CoRR, 2024)

Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians. - Erik Sandström; Keisuke Tateno; Michael Oechsle; Michael Niemeyer; Luc Van Gool; Martin R. Oswald; Federico Tombari (CoRR, 2024)

Auto-Vocabulary Segmentation for LiDAR Points. - Weijie Wei 001; Osman Ülger; Fatemeh Karimi Nejadasl; Theo Gevers; Martin R. Oswald (CoRR, 2024)

Learning to Ground VLMs without Forgetting. - Aritra Bhowmik; Mohammad Mahdi Derakhshani; Dennis C. Koelma; Martin R. Oswald; Yuki M. Asano; Cees G. M. Snoek (CoRR, 2024)

OVO-SLAM: Open-Vocabulary Online Simultaneous Localization and Mapping. - Tomás Berriel Martins; Martin R. Oswald; Javier Civera 001 (CoRR, 2024)

Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery. - Florentin Liebmann; Marco von Atzigen; Dominik Stütz; Julian Wolf 001; Lukas Zingg; Daniel Suter; Nicola Cavalcanti; Laura Leoty; Hooman Esfandiari; Jess Gerrit Snedeker; Martin R. Oswald; Marc Pollefeys; et al. (Medical Image Anal., 2024)

3D-AVS: LiDAR-based 3D Auto-Vocabulary Segmentation. - Weijie Wei 001; Osman Ülger; Fatemeh Karimi Nejadasl; Theo Gevers; Martin R. Oswald (CVPR, 2025)

Physics-based Human Pose Estimation from a Single Moving RGB Camera. - Ayce Idil Aytekin; Chuqiao Li; Diogo C. Luvizon; Rishabh Dabral; Martin R. Oswald; Marc Habermann; Christian Theobalt (CVPR Workshops, 2025)

Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians. - Erik Sandström; Ganlin Zhang; Keisuke Tateno; Michael Oechsle; Michael Niemeyer; Youmin Zhang 008; Manthan Patel; Luc Van Gool; Martin R. Oswald; Federico Tombari (CVPR Workshops, 2025)

MAGiC-SLAM: Multi-Agent Gaussian Globally Consistent SLAM. - Vladimir Yugay; Theo Gevers; Martin R. Oswald (CVPR, 2025)

ODHSR: Online Dense 3D Reconstruction of Humans and Scenes from Monocular Videos. - Zetong Zhang; Manuel Kaufmann; Lixin Xue; Jie Song 006; Martin R. Oswald (CVPR, 2025)

Union-over-Intersections: Object Detection beyond Winner-Takes-All. - Aritra Bhowmik; Pascal Mettes; Martin R. Oswald; Cees G. M. Snoek (ICLR, 2025)

An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels. - Duy-Kien Nguyen; Mido Assran; Unnat Jain; Martin R. Oswald; Cees G. M. Snoek; Xinlei Chen (ICLR, 2025)

ALSTER: A Local Spatio-Temporal Expert for Online 3D Semantic Reconstruction. - Silvan Weder; Francis Engelmann; Johannes L. Schönberger; Akihito Seki; Marc Pollefeys; Martin R. Oswald (WACV, 2025)

SimPLR: A Simple and Plain Transformer for Efficient Object Detection and Segmentation. - Duy-Kien Nguyen; Martin R. Oswald; Cees G. M. Snoek (Trans. Mach. Learn. Res., 2025)

Deblur Gaussian Splatting SLAM. - Francesco Girlanda; Denys Rozumnyi; Marc Pollefeys; Martin R. Oswald (CoRR, 2025)

Splat-LOAM: Gaussian Splatting LiDAR Odometry and Mapping. - Emanuele Giacomini; Luca Di Giammarino; Lorenzo De Rebotti; Giorgio Grisetti; Martin R. Oswald (CoRR, 2025)

SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining. - Yue Li 036; Qi Ma; Runyi Yang; Huapeng Li; Mengjiao Ma; Bin Ren; Nikola Popovic 001; Nicu Sebe; Ender Konukoglu; Theo Gevers; Luc Van Gool; Martin R. Oswald; et al. (CoRR, 2025)

3D Gaussian Inverse Rendering with Approximated Global Illumination. - Zirui Wu; Jianteng Chen; Laijian Li; Shaoteng Wu; Zhikai Zhu; Kang Xu; Martin R. Oswald; Jie Song 006 (CoRR, 2025)

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration. - Andrea Conti 002; Matteo Poggi; Valerio Cambareri; Martin R. Oswald; Stefano Mattoccia (CoRR, 2025)

Gaussian Mapping for Evolving Scenes. - Vladimir Yugay; Thies Kersten; Luca Carlone; Theo Gevers; Martin R. Oswald; Lukas Schmid 001 (CoRR, 2025)

SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting. - Mengjiao Ma; Qi Ma; Yue Li 036; Jiahuan Cheng; Runyi Yang; Bin Ren; Nikola Popovic 001; Mingqiang Wei; Nicu Sebe; Luc Van Gool; Theo Gevers; Martin R. Oswald; et al. (CoRR, 2025)