Lukas Koestler

Masked event modeling: Self-supervised pretraining for event cameras

Deep Event Visual Odometry

E-nerf: Neural radiance fields from a moving event camera

Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares

Neural Implicit Representations for Physical Parameter Inference from a Single Video

Intrinsic neural fields: Learning functions on manifolds

The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions

TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo