activity
20172021
most citedSnapshot Difference Imaging using Time-of-Flight Sensors

3 citations · 7 across the 5 of their papers we have counts for

collaborators

18 papers

cs.CV2021

Centimeter-Wave Free-Space Time-of-Flight Imaging

Seung-Hwan Baek, Noah Walsh, Ilya Chugunov +2

Depth cameras are emerging as a cornerstone modality with diverse applications that directly or indirectly rely on measured depth, including personal devices, robotics, and self-dr…

cs.CV2021

Polarimetric Spatio-Temporal Light Transport Probing

Seung-Hwan Baek, Felix Heide

Light emitted from a source into a scene can undergo complex interactions with scene surfaces of different material types before being reflected. During this transport, every surfa…

eess.IV20212 cited

Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging

Ilya Chugunov, Seung-Hwan Baek, Qiang Fu +2

We introduce Mask-ToF, a method to reduce flying pixels (FP) in time-of-flight (ToF) depth captures. FPs are pervasive artifacts which occur around depth edges, where light paths f…

cs.CV20212 cited

ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media

Zheng Shi, Ethan Tseng, Mario Bijelic +2

Adverse weather conditions, including snow, rain, and fog, pose a major challenge for both human and computer vision. Handling these environmental conditions is essential for safe…

cs.CV2021

Adversarial Imaging Pipelines

Buu Phan, Fahim Mannan, Felix Heide

Adversarial attacks play an essential role in understanding deep neural network predictions and improving their robustness. Existing attack methods aim to deceive convolutional neu…

cs.CV2021

Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues

Frank Julca-Aguilar, Jason Taylor, Mario Bijelic +3

Today's state-of-the-art methods for 3D object detection are based on lidar, stereo, or monocular cameras. Lidar-based methods achieve the best accuracy, but have a large footprint…