Monocular depth estimation remains a challenging problem, despite significant advances in
neural network architectures that leverage pictorial depth cues alone. Inspired by depth from …

Underwater perception and 3D surface reconstruction are challenging problems with broad
applications in construction, security, marine archaeology, and environmental monitoring …

The number of applications that use depth imaging is increasing rapidly, eg self-driving
autonomous vehicles and auto-focus assist on smartphone cameras. Light detection and …

Single-photon–sensitive depth sensors are being increasingly used in next-generation
electronics for human pose and gesture recognition. However, cost-effective sensors …

3D time-of-flight (ToF) imaging is used in a variety of applications such as augmented reality
(AR), computer interfaces, robotics and autonomous systems. Single-photon avalanche …

We present a method for reconstructing 3D shape of arbitrary Lambertian objects based on
measurements by miniature energy-efficient low-cost single-photon cameras. These …

In this paper, we propose a new cue of depth sensing using thermal radiation. Our method
realizes passive, texture independent, far range, and dark scene applicability, which can …

We investigate methods for determining if a planar surface contains geometric deviations
(eg, protrusions, objects, divots, or cliffs) using only an instantaneous measurement from a …

Time-resolved image sensors that capture light at pico-to-nanosecond timescales were once
limited to niche applications but are now rapidly becoming mainstream in consumer devices …

We present LInKs, a novel unsupervised learning method to recover 3D human poses from
2D kinematic skeletons obtained from a single image, even when occlusions are present …