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2020 – today
- 2024
[c14]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: 8272-8279- 2022
- [c13]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: 8238-8248 - [c12]Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk:
Instance Segmentation with Cross-Modal Consistency. IROS 2022: 2009-2016 - [i16]Zhao Chen, Vincent Casser, Henrik Kretzschmar, Dragomir Anguelov:
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting. CoRR abs/2201.05938 (2022) - [i15]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 abs/2202.05263 (2022) - [i14]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 abs/2206.07705 (2022) - [i13]Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk:
Instance Segmentation with Cross-Modal Consistency. CoRR abs/2210.08113 (2022) - 2021
- [c11]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: 8700-8709 - [c10]A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova:
4D-Net for Learned Multi-Modal Alignment. ICCV 2021: 15415-15425 - [i12]A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova:
4D-Net for Learned Multi-Modal Alignment. CoRR abs/2109.01066 (2021) - 2020
- [c9]Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova:
Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRL 2020: 1908-1917 - [c8]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: 223-240 - [c7]Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn:
Fast Mitochondria Detection for Connectomics. MIDL 2020: 111-120 - [c6]Camilo Fosco, Vincent Casser, Amish Kumar Bedi, Peter O'Donovan, Aaron Hertzmann, Zoya Bylinskii:
Predicting Visual Importance Across Graphic Design Types. UIST 2020: 249-260 - [i11]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 abs/2005.07289 (2020) - [i10]Camilo Fosco, Vincent Casser, Amish Kumar Bedi, Peter O'Donovan, Aaron Hertzmann, Zoya Bylinskii:
Predicting Visual Importance Across Graphic Design Types. CoRR abs/2008.02912 (2020) - [i9]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 abs/2009.02568 (2020) - [i8]Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova:
Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRR abs/2010.16404 (2020)
2010 – 2019
- 2019
- [c5]Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. AAAI 2019: 8001-8008 - [c4]Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Unsupervised Monocular Depth and Ego-Motion Learning With Structure and Semantics. CVPR Workshops 2019: 381-388 - [c3]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: 573-581 - [c2]Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik Ludewig Michels, Bernard Ghanem:
OIL: Observational Imitation Learning. Robotics: Science and Systems 2019 - [i7]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 abs/1904.08801 (2019) - [i6]Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics. CoRR abs/1906.05717 (2019) - 2018
- [j1]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): 902-919 (2018) - [c1]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: 11-29 - [i5]Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem:
Teaching UAVs to Race With Observational Imitation Learning. CoRR abs/1803.01129 (2018) - [i4]Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova:
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. CoRR abs/1811.06152 (2018) - [i3]Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn:
Fast Mitochondria Segmentation for Connectomics. CoRR abs/1812.06024 (2018) - 2017
- [i2]Matthias Müller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem:
UE4Sim: A Photo-Realistic Simulator for Computer Vision Applications. CoRR abs/1708.05869 (2017) - [i1]Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem:
Teaching UAVs to Race Using UE4Sim. CoRR abs/1708.05884 (2017)
Coauthor Index
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last updated on 2024-10-16 21:22 CEST by the dblp team
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