1st Dense Neural SLAM Workshop (NeuSLAM)

08:30 - 09:00 Breakfast / Hang Posters

09:00 - 09:05 Opening

09:05 - 09:40 Keynote 1 - Marc Pollefeys (35mins)

09:40 - 10:15 Keynote 2 - Andrew Davison (35mins)

10:15 - 11:15 Poster session (60mins) &

10:30 - 11:00 Coffee Break (30mins)

11:15 - 11:50 Keynote 3 - Lourdes Agapito (35mins)

11:50 - 12:25 Keynote 4 - Daniel Cremers (35mins)

12:25 - 13:00 Panel Discussion (35mins) - End of workshop

13:00 - 13:30 Lunch break

The workshop will be streamed via zoom: https://uva-live.zoom.us/j/86995313474

Ask or rank question for the panel discussion by posting or liking comments to these posts:
Twitter/X: https://x.com/Martin_R_Oswald/status/1840420171443249440

LinkedIn: https://www.linkedin.com/posts/martin-r-oswald-167461122_eccv2024-activity-7246185922759729152-O1-4

ECCV chat: https://eccv.ecva.net/virtual/2024/workshop/3?show_abstract=true

Posters

1. Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians
   Erik Sandström (ETH Zürich), Keisuke Tateno (Google, TU Munich), Michael Oechsle (Google), Michael Niemeyer (Google), Luc Van Gool (ETH Zurich), Martin R. Oswald (University of Amsterdam), Federico Tombari (Google), Arxiv'24

2. IG-SLAM: Instant Gaussian SLAM
   Aykut F Sarıkamış (Middle East Technical University), Aydin Alatan (Middle East Technical University, Turkey), Arxiv'24

3. I2-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM
   Gwangtak Bae (Seoul National University), Changwoon Choi (Seoul National University), Hyeongjun Heo (Seoul National University), Sang Min Kim (Seoul National University), Young Min Kim (Seoul National University), ECCV'24

4. LoopSplat: Loop Closure by Registering 3D Gaussian Splats
   Liyuan Zhu (Stanford University), Yue Li (University of Amsterdam), Erik Sandström (ETH Zurich), Shengyu Huang (ETH Zürich), Konrad Schindler (ETH Zurich), Iro Armeni (Stanford University), Arxiv'24

5. A Game of Bundle Adjustment - Learning Efficient Convergence
   Amir Belder (Technion), Refael Vivanti (Meta), Ayellet Tal (Technion), ICCV'23

6. Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting
   Vladimir Yugay (University of Amsterdam), Yue Li (University of Amsterdam), Theo Gevers (University of Amsterdam), Martin R. Oswald (University of Amsterdam), Arxiv'23

7. Ray-Distance Volume Rendering for Neural Scene Reconstruction
   Ruihong Yin (University of Amsterdam), Yunlu Chen (Carnegie Mellon University), Sezer Karaoglu (University of Amsterdam), Theo Gevers (University of Amsterdam), ECCV'24

8. Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM
   Junru Lin (University of Toronto), Asen Nachkov (INSAIT, Sofia University), Songyou Peng (ETH Zurich and MPI-IS), Luc Van Gool (ETH Zurich), Danda Pani Paudel (INSAIT, Sofia University), IROS'24

9. Learn to Memorize and to Forget: A Continual Learning Perspective of Dynamic SLAM
   Baicheng Li (Peking University), Zike Yan (Tsinghua University), Dong Wu (Peking University), Hanqing Jiang (SenseTime Research), Hongbin Zha (Peking University, China), Arxiv'24

10. Active Neural Mapping at Scale
    Zijia Kuang (Tsinghua University), Zike Yan (Tsinghua University), Hao Zhao (Tsinghua University), Guyue Zhou (Tsinghua University), Hongbin Zha (Peking University), IROS'24

11. HI-SLAM: Monocular Real-Time Dense Mapping with Hybrid Implicit Fields
    Wei Zhang (University of Stuttgart), Tiecheng Sun (Huawei 2012 Laboratories Postdoctoral Workstation), Sen Wang (Technical University of Munich), Qing Cheng (Technical University of Munich), Norbert Haala (University of Stuttgart), RAL'24

12. ES-PTAM: Event-based Stereo Parallel Tracking and Mapping
    Suman Ghosh (TU Berlin), Valentina Cavinato (SONY), Guillermo Gallego (TU Berlin), ECCVW'24 NeVi Workshop

13. Neural Visual-Inertial Odometry: Dynamics, Inertial-only, and Reinforcement Learning
    Giovanni Cioffi (University of Zurich), Nico Messikommer (University of Zurich), Davide Scaramuzza (University of Zurich, Switzerland)

14. PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency
    Yue Pan (University of Bonn), Xingguang Zhong, Louis Wiesmann, Thorbjörn Posewsky, Jens Behley, Cyrill Stachniss, IEEE Transactions on Robotics 2024

If possible we encourage presenters to already hang their posters before the start of the workshop.