Vincent Casser

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 31

Top Topics

Unsupervised Learning

Uncalibrated Images

Top Venues

Int. J. Comput. Vis.

Publications

Wei-Chih Hung, Vincent Casser, Henrik Kretzschmar, Jyh-Jing Hwang, Dragomir Anguelov
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. ICRA (2024)
Wei-Chih Hung, Henrik Kretzschmar, Vincent Casser, Jyh-Jing Hwang, Dragomir Anguelov
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. CoRR (2022)
Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk
Instance Segmentation with Cross-Modal Consistency. IROS (2022)
Zhao Chen, Vincent Casser, Henrik Kretzschmar, Dragomir Anguelov
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting. CoRR (2022)
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar
Block-NeRF: Scalable Large Scene Neural View Synthesis. CoRR (2022)
Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk
Instance Segmentation with Cross-Modal Consistency. CoRR (2022)
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben P. Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar
Block-NeRF: Scalable Large Scene Neural View Synthesis. CVPR (2022)
A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova
4D-Net for Learned Multi-Modal Alignment. CoRR (2021)
A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova
4D-Net for Learned Multi-Modal Alignment. ICCV (2021)
Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon
Taskology: Utilizing Task Relations at Scale. CVPR (2021)
Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova
Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRL (2020)
Camilo Fosco, Vincent Casser, Amish Kumar Bedi, Peter O'Donovan, Aaron Hertzmann, Zoya Bylinskii
Predicting Visual Importance Across Graphic Design Types. UIST (2020)
Camilo Fosco, Vincent Casser, Amish Kumar Bedi, Peter O'Donovan, Aaron Hertzmann, Zoya Bylinskii
Predicting Visual Importance Across Graphic Design Types. CoRR (2020)
Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry A. McNamara, Aude Oliva
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. ECCV (16) (2020)
Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry A. McNamara, Aude Oliva
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. CoRR (2020)
Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn
Fast Mitochondria Detection for Connectomics. MIDL (2020)
Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova
Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRR (2020)
Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon
Taskology: Utilizing Task Relations at Scale. CoRR (2020)
Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. AAAI (2019)
Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics. CoRR (2019)
Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-Based UAV Racing. CVPR Workshops (2019)
Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing. CoRR (2019)
Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik Ludewig Michels, Bernard Ghanem
OIL: Observational Imitation Learning. Robotics: Science and Systems (2019)
Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
Unsupervised Monocular Depth and Ego-Motion Learning With Structure and Semantics. CVPR Workshops (2019)
Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
Teaching UAVs to Race With Observational Imitation Learning. CoRR (2018)
Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation. ECCV Workshops (2) (2018)
Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn
Fast Mitochondria Segmentation for Connectomics. CoRR (2018)
Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. CoRR (2018)
Matthias Müller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem
Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications. Int. J. Comput. Vis. 126 (9) (2018)
Matthias Müller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem
UE4Sim: A Photo-Realistic Simulator for Computer Vision Applications. CoRR (2017)
Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
Teaching UAVs to Race Using UE4Sim. CoRR (2017)