Abstract Point-spread-function (PSF) engineering is a well-established computational
imaging technique that uses phase masks and other optical elements to embed extra …

We present a novel model for Tracking Any Point (TAP) that effectively tracks any queried
point on any physical surface throughout a video sequence. Our approach employs two …

Vision-based localization is a cost-effective and, thus, attractive solution for many intelligent
mobile platforms. However, its accuracy and especially robustness still suffer from low …

This paper presents the first 3D feature tracking method with the corresponding dataset. Our
proposed method takes event streams from stereo event cameras as input to predict 3D …

Event cameras are promising devices for low latency tracking and high-dynamic range
imaging. In this paper, we propose a novel approach for 6 degree-of-freedom (6-DoF) object …

We hypothesize that an agent that can look around in static scenes can learn rich visual
representations applicable to 3D object tracking in complex dynamic scenes. We are …

This paper investigates two typical image-type representations for event camera-based
tracking: time surface (TS) and event map (EM). Based on the original TS-based tracker, we …

Recovering dense and long-range pixel motion in videos is a challenging problem. Part of
the difficulty arises from the 3D-to-2D projection process leading to occlusions and …

Directly learning multiple 3D objects motion from sequential images is difficult, while the
geometric bundle adjustment lacks the ability to localize the invisible object centroid. To …

This paper introduces the first differentiable simulator of event streams, ie, streams of
asynchronous brightness change signals recorded by event cameras. Our differentiable …