Publications – Page 3 – Toronto Computational Imaging Group

Implicit Neural Representations with Periodic Activation Functions

Learned Feature Embeddings for Non-Line-of-Sight Imaging and Recognition

Disambiguating Monocular Depth Estimation with a Single Transient

A Neural Rendering Framework for Free-Viewpoint Relighting

Photometric Stereo via Discrete Hypothesize-and-Test Search

Auto-Tuning Structured Light by Optical Stochastic Gradient Descent

Non-Line-of-Sight Surface Reconstruction using the Directional Light-Cone Transform

End-to-End Video Compressive Sensing Using Anderson-Accelerated Unrolled Networks

Yuqi Li, Miao Qi, Rahul Gulve, Mian Wei, Roman Genov, Kiriakos N. Kutulakos and Wolfgang Heidrich ICCP 2020 Abstract Compressive imaging systems with spatial-temporal encoding can be used to capture and reconstruct fast-moving objects. The imaging quality highly depends on the choice of encoding masks and reconstruction methods. In this paper, we present a new…

Deep Adaptive LIDAR: End-to-end optimization of sampling and depth completion at low sampling rates

SPADnet: Deep RGB-SPAD Sensor Fusion Assisted by Monocular Depth Estimation