activity
20102024
most citedDesigning Neural Network Architectures using Reinforcement Learning

424 citations · 539 across the 19 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2024

DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images

Zaid Tasneem, Akshat Dave, Abhishek Singh +4

Neural radiance fields (NeRFs) show potential for transforming images captured worldwide into immersive 3D visual experiences. However, most of this captured visual data remains si…

cs.CV2023

DISeR: Designing Imaging Systems with Reinforcement Learning

Tzofi Klinghoffer, Kushagra Tiwary, Nikhil Behari +2

Imaging systems consist of cameras to encode visual information about the world and perception models to interpret this encoding. Cameras contain (1) illumination sources, (2) opti…

cs.CV2023

Towards Viewpoint Robustness in Bird's Eye View Segmentation

Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen +6

Autonomous vehicles (AV) require that neural networks used for perception be robust to different viewpoints if they are to be deployed across many types of vehicles without the rep…

cs.CV20161 cited

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…

cs.CV201652 cited

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…

cs.CV201510 cited

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…