Vincent Casser

34 papers A* 7A 1Misc 1Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Orchid: Image Latent Diffusion for Joint Appearance and Geometry Generation. CoRR Akshay Krishnan, Xinchen Yan, Vincent Casser, Abhijit Kundu
2025	A*	`conf`	SceneCrafter: Controllable Multi-View Driving Scene Editing. CVPR Zehao Zhu, Yuliang Zou, Chiyu Max Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas J. Guibas, Mingxing Tan, Dragomir Anguelov
2025	J	`jnl`	SceneCrafter: Controllable Multi-View Driving Scene Editing. CoRR Zehao Zhu, Yuliang Zou, Chiyu Max Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas J. Guibas, Mingxing Tan, Dragomir Anguelov
2024	A*	`conf`	LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. ICRA Wei-Chih Hung, Vincent Casser, Henrik Kretzschmar, Jyh-Jing Hwang, Dragomir Anguelov
2022	A*	`conf`	Block-NeRF: Scalable Large Scene Neural View Synthesis. CVPR Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben P. Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar
2022	J	`jnl`	Block-NeRF: Scalable Large Scene Neural View Synthesis. CoRR Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar
2022	J	`jnl`	GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting. CoRR Zhao Chen, Vincent Casser, Henrik Kretzschmar, Dragomir Anguelov
2022	A	`conf`	Instance Segmentation with Cross-Modal Consistency. IROS Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk
2022	J	`jnl`	Instance Segmentation with Cross-Modal Consistency. CoRR Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk
2022	J	`jnl`	LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. CoRR Wei-Chih Hung, Henrik Kretzschmar, Vincent Casser, Jyh-Jing Hwang, Dragomir Anguelov
2021	A*	`conf`	4D-Net for Learned Multi-Modal Alignment. ICCV A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova
2021	J	`jnl`	4D-Net for Learned Multi-Modal Alignment. CoRR A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova
2021	A*	`conf`	Taskology: Utilizing Task Relations at Scale. CVPR Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon
2020	—	`conf`	Fast Mitochondria Detection for Connectomics. MIDL Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn
2020	—	`conf`	Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. ECCV (16) Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry A. McNamara, Aude Oliva
2020	J	`jnl`	Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. CoRR Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry A. McNamara, Aude Oliva
2020	A*	`conf`	Predicting Visual Importance Across Graphic Design Types. UIST Camilo Fosco, Vincent Casser, Amish Kumar Bedi, Peter O'Donovan, Aaron Hertzmann, Zoya Bylinskii
2020	J	`jnl`	Predicting Visual Importance Across Graphic Design Types. CoRR Camilo Fosco, Vincent Casser, Amish Kumar Bedi, Peter O'Donovan, Aaron Hertzmann, Zoya Bylinskii
2020	J	`jnl`	Taskology: Utilizing Task Relations at Scale. CoRR Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon
2020	Misc	`conf`	Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRL Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova
2020	J	`jnl`	Unsupervised Monocular Depth Learning in Dynamic Scenes. CoRR Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova
2019	A*	`conf`	Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. AAAI Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
2019	—	`conf`	Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-Based UAV Racing. CVPR Workshops Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
2019	J	`jnl`	Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing. CoRR Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
2019	—	`conf`	OIL: Observational Imitation Learning. Robotics: Science and Systems Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik Ludewig Michels, Bernard Ghanem
2019	—	`conf`	Unsupervised Monocular Depth and Ego-Motion Learning With Structure and Semantics. CVPR Workshops Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
2019	J	`jnl`	Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics. CoRR Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
2018	J	`jnl`	Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. CoRR Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova
2018	J	`jnl`	Fast Mitochondria Segmentation for Connectomics. CoRR Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn
2018	J	`jnl`	Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications. Int. J. Comput. Vis. Matthias Müller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem
2018	J	`jnl`	Teaching UAVs to Race With Observational Imitation Learning. CoRR Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
2018	—	`conf`	Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation. ECCV Workshops (2) Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
2017	J	`jnl`	Teaching UAVs to Race Using UE4Sim. CoRR Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem
2017	J	`jnl`	UE4Sim: A Photo-Realistic Simulator for Computer Vision Applications. CoRR Matthias Müller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem