Selected Publications

Partial list. You can also find my articles on my Google Scholar profile.

End-to-end Birds-eye-view Flow Estimation for Autonomous Driving End-to-end Birds-eye-view Flow Estimation for Autonomous Driving - KH. Lee, M. Kliemann, A. Gaidon, J. Li, C. Fang, S. Pillai, W. Burgard - IROS 2020 - October 25, 2020. An end-to-end deep learning framework for LIDAR-based flow estimation in 2.5D bird’s eye view (BeV). We show it boosts tracking performance on a real-world autonomous car.
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion - I. Vasiljevic, V. Guizilini, R. Ambrus, S. Pillai, W. Burgard, G. Shakhnarovich, A. Gaidon - arxiv 2020 - August 15, 2020. Neural Ray Surfaces (NRS) are convolutional networks that represent pixel-wise projection rays, approximating a wide range of cameras. NRS are fully differentiable and can be learned end-to-end from unlabeled raw videos.
Differentiable Rendering: A Survey Differentiable Rendering: A Survey - H. Kato, D. Beker, M. Morariu, T. Ando, T. Matsuoka, W. Kehl, A. Gaidon - arXiv - June 22, 2020. This paper reviews existing literature and discusses the current state of differentiable rendering, its applications, and open research problems.
Real-Time Panoptic Segmentation from Dense Detections Real-Time Panoptic Segmentation from Dense Detections - R. Hou, J. Li, A. Bhargava, A. Raventos, V. Guizilini, C. Fang, J Lynch, A. Gaidon - CVPR 2020 (oral, top 5.7%) - June 16, 2020. A novel panoptic segmentation method featuring parameter-free instance mask reconstruction, state-of-the-art accuracy, and real-time inference.
3D Packing for Self-Supervised Monocular Depth Estimation 3D Packing for Self-Supervised Monocular Depth Estimation - V. Guizilini, R. Ambrus, S. Pillai, A. Raventos, A. Gaidon - CVPR 2020 (oral, top 5.7%) - June 16, 2020. We introduce a new state of the art in self-supervised monocular depth estimation (PackNet), a new benchmark (DDAD), and weak velocity supervision.