activity
20092023
most citedDeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

1.2k citations · 4.3k across the 84 of their papers we have counts for

collaborators

87 papers

eess.IV2023

Role of Transients in Two-Bounce Non-Line-of-Sight Imaging

Siddharth Somasundaram, Akshat Dave, Connor Henley +2

The goal of non-line-of-sight (NLOS) imaging is to image objects occluded from the camera's field of view using multiply scattered light. Recent works have demonstrated the feasibi…

cs.CV2022★ 1 cited

ORCa: Glossy Objects as Radiance Field Cameras

Kushagra Tiwary, Akshat Dave, Nikhil Behari +3

Reflections on glossy objects contain valuable and hidden information about the surrounding environment. By converting these objects into cameras, we can unlock exciting applicatio…

cs.DC2022★ 4 cited

Differentially Private CutMix for Split Learning with Vision Transformer

Seungeun Oh, Jihong Park, Sihun Baek +5

Recently, vision transformer (ViT) has started to outpace the conventional CNN in computer vision tasks. Considering privacy-preserving distributed learning with ViT, federated lea…

cs.CV2022★ 16 cited

Detection and Mapping of Specular Surfaces Using Multibounce Lidar Returns

Connor Henley, Siddharth Somasundaram, Joseph Hollmann +1

We propose methods that use specular, multibounce lidar returns to detect and map specular surfaces that might be invisible to conventional lidar systems that rely on direct, singl…

cs.LG2022★ 4 cited

Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning

Sihun Baek, Jihong Park, Praneeth Vepakomma +3

This article seeks for a distributed learning solution for the visual transformer (ViT) architectures. Compared to convolutional neural network (CNN) architectures, ViTs often have…

cs.CV2022★ 1 cited

Physically Disentangled Representations

Tzofi Klinghoffer, Kushagra Tiwary, Arkadiusz Balata +2

State-of-the-art methods in generative representation learning yield semantic disentanglement, but typically do not consider physical scene parameters, such as geometry, albedo, li…