424 citations · 507 across the 8 of their papers we have counts for
8 papers
Data Markets to support AI for All: Pricing, Valuation and Governance
Ramesh Raskar, Praneeth Vepakomma, Tristan Swedish +1
We discuss a data market technique based on intrinsic (relevance and uniqueness) as well as extrinsic value (influenced by supply and demand) of data. For intrinsic value, we expla…
Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker, Otkrist Gupta, Nikhil Naik +1
At present, designing convolutional neural network (CNN) architectures requires both human expertise and labor. New architectures are handcrafted by careful experimentation or modi…
Lensless Imaging with Compressive Ultrafast Sensing
Guy Satat, Matthew Tancik, Ramesh Raskar
Lensless imaging is an important and challenging problem. One notable solution to lensless imaging is a single pixel camera which benefits from ideas central to compressive samplin…
Deep Learning the City : Quantifying Urban Perception At A Global Scale
Abhimanyu Dubey, Nikhil Naik, Devi Parikh +2
Computer vision methods that quantify the perception of urban environment are increasingly being used to study the relationship between a city's physical appearance and the behavio…
Super-Resolution in Phase Space
Ayush Bhandari, Yonina Eldar, Ramesh Raskar
This work considers the problem of super-resolution. The goal is to resolve a Dirac distribution from knowledge of its discrete, low-pass, Fourier measurements. Classically, such p…
A Light Transport Model for Mitigating Multipath Interference in TOF Sensors
Nikhil Naik, Achuta Kadambi, Christoph Rhemann +3
Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable technology with many applications in computer vision and graphics. However, the depth images obt…