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Camera Culture
Differential Privacy offers strong guarantees such as immutable privacy under any post-processing. In this work, we propose a differentia...
Classes of set functions along with a choice of ground set are a bedrock to determine and develop corresponding variants of greedy algori...
We introduce a differentially private method to measure nonlinear correlations between sensitive data hosted across two entities. We prov...
Wireless channels can be inherently privacy-preserving by distorting the received signals due to channel noise, and superpositioning mult...
We propose Sanitizer, a framework that protects against sensitive information leakage to facilitate task independent data release with un...
Consider a small object sitting on a desk in your living room. The object is illuminated by light sources from all directions—this includ...
Abstract:We introduce DeepABM, a framework for agent-based modeling that leverages geometric message passing of graph neural networks for...
Recent deep learning models have shown remarkable performance in image classification. While these deep learning systems are getting clos...
In this work, we introduce FedML, an open research library and benchmark that facilitates the development of new 'federated learning algo...
For distributed machine learning with sensitive data, we demonstrate how minimizing distance correlation between raw data and intermediar...
We propose an improved private count-mean-sketch data structure and show its applicability to differentially private contact tr...
We present a stochastic scheme for splitting the client data into privatized shares that are transmitted to the server in such settings. ...
The full text of our paper is available here.Sometimes the thing that we want to see is hidden behind something else. A neighboring vehi...
Papers from SafePaths: https://github.com/PrivateKit/PrivacyDocumentsSafe Paths is an MIT-led, free, open source technology tha...
Split Learning: Distributed deep learning without sharing raw data Project Page: https://splitlearning.github.io/Abstract: ...
Rethinking photography optics in the time dimensionWhat if we could design optics in time instead of space?
Seeing through dense, dynamic, and heterogeneous fog conditions. The technique, based on visible light, uses hardware that is similar to ...
Time of Flight 3D cameras like the Microsoft Kinect are prevalent in computer vision and computer graphics. In such devices, the power of...
Object Classification through Scattering Media with Deep LearningA method for classifying objects hidden behind a scattering layer w...
We introduce MetaQNN, a meta-modeling algorithm based on reinforcement learning to automatically generate high-performing CNN architectur...
Lensless imaging with compressive ultrafast sensingTraditional cameras require a lens and a mega-pixel sensor to capture images. The lens...
Computation photography applied to imaging the middle ear for infections.
We demonstrate a smartphone based spectrometer design that is standalone and supported on a wireless platform. The device is inherently l...
Terahertz time-gated spectral imaging for content extraction through layered structures.
How to see through tissueWe demonstrate a new method to image through scattering materials like tissue and fog. The demonstration include...
In this visual brainstorming, we present the next 30 years of VR in a set of concept designs.
Skin and tissue perfusion measurements are important parameters for diagnosis of wounds and burns, and for monitoring plastic and reconst...
Our deformable camera exploits new, flexible form factors for imaging in turbid media. In this study we enable a brush-like form factor w...
We believe that tough global health problems require an innovation pipeline. We must bring together the people and providers facing healt...
Fluorescence lifetime imaging is a significant bio-imaging tool that finds important applications in life-sciences. Widely known applicat...
Eye exams via a slit lamp are critical in early diagnosis of diseases such as cataracts, corneal injury, and pterygia, in order to avert ...
This concept gallery shows the chain of startups and ideas that will follow after the emergence of self-driving cars.
A new method to detect and distinguish between different types of fluorescent materials. The suggested technique has provided a dramatica...
Using a femtosecond laser and a camera with a time resolution of about one trillion frames per second, we recover objects hidden out of s...
Our architecture takes a hybrid approach to microwaves and treats them like waves of light. Most other work places antennas in a 2D arran...
The ability to record images with extreme temporal resolution enables a diverse range of applications, such as time-of-flight depth imagi...
Asthma is the most common chronic illness among children. The skills required to diagnose it make it an even greater concern. Our solutio...
We present a novel framework to extend the dynamic range of images called Unbounded High Dynamic Range (UHDR) photography with a modulo c...
Locating and classifying florescent tags behind turbid layers using time-resovled inversion Using time resolved and sparse optimizat...
We are exploring mathematical modeling of time-of-flight imaging problems and solutions.
Time-of-flight (ToF) cameras are commercialized consumer cameras that provide a depth map of a scene, with many applications in computer ...
The major challenge in preventing blindness is identifying patients and bringing them to specialty care. Diseases that affect the retina,...
We have developed a camera system that captures movies at an effective rate of approximately one trillion frames per second. In one frame...
Can a person look at a portable display, click on a few buttons, and recover his or her refractive condition? Our optometry solution comb...
We use time-resolved information in an iterative optimization algorithm to recover reflectance of a three-dimensional scene hidden behind...
We demonstrate a new technique that allows a camera to rapidly acquire reflectance properties of objects "in the wild" from a single view...