Research

2022

Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jon T. Barron, Henrik Kretzschmar: Block-NeRF: Scalable Neural Rendering. Conference on Computer Vision and Pattern Recognition (CVPR’22). Oral presentation.
Alex Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar and Soeren Pirk: Instance Segmentation with Cross-Modal Consistency. International Conference on Intelligent Robots and Systems (IROS’22).

2021

AJ Piergiovanni, Vincent Casser, Michael Ryoo and Anelia Angelova: 4D-Net for Learned Multi-Modal Alignment. International Conference on Computer Vision (ICCV’21).
Yao Lu, Soeren Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova and Ariel Gordon: Taskology: Utilizing Task Relations at Scale. Conference on Computer Vision and Pattern Recognition (CVPR’21). Oral presentation.

2020

Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova: Unsupervised Monocular Depth Learning in Dynamic Scenes. Conference on Robot Learning (CoRL’20).
Camilo Fosco, Anelise Newman, Vincent Casser, Allen Lee, Barry McNamara and Aude Oliva: Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. European Conference on Computer Vision (ECCV’20).
Camilo Fosco, Vincent Casser, Amish K. Bedi, Peter O’Donovan, Aaron Hertzmann and Zoya Bylinskii Predicting Visual Importance Across Graphic Design Types. ACM User Interface Software and Technology Symposium (UIST’20).
Vincent Casser, Kai Kang, Hanspeter Pfister and Daniel Haehn: Fast Mitochondria Segmentation for Connectomics. Medical Imaging with Deep Learning (MIDL’20).
Zoya Bylinskii; Camilo Fosco; Vincent Casser; Amish K. Bedi; Aaron Hertzmann What’s Salient in a Graphic Design Anyway? Journal of Vision.

2019

Vincent Casser, Soeren Pirk, Reza Mahjourian, Anelia Angelova: Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI’19).
Guohao Li and Matthias Mueller, Vincent Casser, Neil Smith, Dominik Michels, Bernard Ghanem: OIL: Observational Imitation Learning. Robotics: Science and Systems (RSS’19).
Vincent Casser*, Camilo Fosco*, Anelise Newman*, Barry McNamara and Aude Oliva: To Decay or not to Decay: Modeling Video Memorability Over Time. Shared Visual Representations in Human and Machine Intelligence, NeurIPS’19.
Vincent Casser, Soeren Pirk, Reza Mahjourian, Anelia Angelova: Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics. 3rd International Workshop on Visual Odometry and Computer Vision Applications Based on Location Clues, CVPR’19.
Matthias Mueller, Guohao Li, Neil Smith, Vincent Casser, Dominik Michels, Bernard Ghanem: Learning a Controller Fusion Network by Online Trajectory Filtering for Video-based UAV Racing. 3rd International Workshop on Computer Vision for UAVs, CVPR’19.

2018

Matthias Mueller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem: Sim4CV: A Photo-Realistic Simulator for Computer Vision. International Journal of Computer Vision (IJCV).
Vincent Casser and Matthias Mueller, Neil Smith, Dominik Michels, Bernard Ghanem: Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation. 2nd International Workshop on Computer Vision for UAVs, ECCV’18.