UE4Sim: A Photo-Realistic Simulator for Computer Vision Applications. - Matthias Müller 011; Vincent Casser; Jean Lahoud; Neil Smith; Bernard Ghanem (CoRR, 2017)

Teaching UAVs to Race Using UE4Sim. - Matthias Müller 011; Vincent Casser; Neil Smith; Dominik L. Michels; Bernard Ghanem (CoRR, 2017)

Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation. - Matthias Müller 011; Vincent Casser; Neil Smith; Dominik L. Michels; Bernard Ghanem (ECCV Workshops (2), 2018)

Teaching UAVs to Race With Observational Imitation Learning. - Guohao Li 001; Matthias Müller 011; Vincent Casser; Neil Smith; Dominik L. Michels; Bernard Ghanem (CoRR, 2018)

Fast Mitochondria Segmentation for Connectomics. - Vincent Casser; Kai Kang; Hanspeter Pfister; Daniel Haehn (CoRR, 2018)

Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications. - Matthias Müller 011; Vincent Casser; Jean Lahoud; Neil Smith; Bernard Ghanem (Int. J. Comput. Vis., 2018)

Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. - Vincent Casser; Sören Pirk; Reza Mahjourian; Anelia Angelova (AAAI, 2019)

Unsupervised Monocular Depth and Ego-Motion Learning With Structure and Semantics. - Vincent Casser; Sören Pirk; Reza Mahjourian; Anelia Angelova (CVPR Workshops, 2019)

Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-Based UAV Racing. - Matthias Müller 011; Guohao Li 001; Vincent Casser; Neil Smith; Dominik L. Michels; Bernard Ghanem (CVPR Workshops, 2019)

OIL: Observational Imitation Learning. - Guohao Li 001; Matthias Müller 011; Vincent Casser; Neil Smith; Dominik Ludewig Michels; Bernard Ghanem (Robotics: Science and Systems, 2019)

Unsupervised Monocular Depth Learning in Dynamic Scenes. - Hanhan Li; Ariel Gordon; Hang Zhao; Vincent Casser; Anelia Angelova (CoRL, 2020)

Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. - Anelise Newman; Camilo Fosco; Vincent Casser; Allen Lee; Barry A. McNamara; Aude Oliva (ECCV (16), 2020)

Fast Mitochondria Detection for Connectomics. - Vincent Casser; Kai Kang; Hanspeter Pfister; Daniel Haehn (MIDL, 2020)

Predicting Visual Importance Across Graphic Design Types. - Camilo Fosco; Vincent Casser; Amish Kumar Bedi; Peter O'Donovan; Aaron Hertzmann; Zoya Bylinskii (UIST, 2020)

Taskology: Utilizing Task Relations at Scale. - Yao Lu 006; Sören Pirk; Jan Dlabal; Anthony Brohan; Ankita Pasad; Zhao Chen; Vincent Casser; Anelia Angelova; Ariel Gordon (CVPR, 2021)

4D-Net for Learned Multi-Modal Alignment. - A. J. Piergiovanni; Vincent Casser; Michael S. Ryoo; Anelia Angelova (ICCV, 2021)

Block-NeRF: Scalable Large Scene Neural View Synthesis. - Matthew Tancik; Vincent Casser; Xinchen Yan; Sabeek Pradhan; Ben P. Mildenhall; Pratul P. Srinivasan; Jonathan T. Barron; Henrik Kretzschmar (CVPR, 2022)

Instance Segmentation with Cross-Modal Consistency. - Alex Zihao Zhu; Vincent Casser; Reza Mahjourian; Henrik Kretzschmar; Sören Pirk (IROS, 2022)

GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting. - Zhao Chen; Vincent Casser; Henrik Kretzschmar; Dragomir Anguelov (CoRR, 2022)

LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. - Wei-Chih Hung; Vincent Casser; Henrik Kretzschmar; Jyh-Jing Hwang; Dragomir Anguelov (ICRA, 2024)

SceneCrafter: Controllable Multi-View Driving Scene Editing. - 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 (CVPR, 2025)

Orchid: Image Latent Diffusion for Joint Appearance and Geometry Generation. - Akshay Krishnan; Xinchen Yan; Vincent Casser; Abhijit Kundu (CoRR, 2025)