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Sakshum Kulshrestha

4 accepted papers

2025

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model

CVPR 2025poster

The goal of traffic simulation is to augment a potentially limited amount of manually-driven miles that is available for testing and validation, with a much larger amount of simulated synthetic miles. The culmination of this vision would be a generative simulated city, where given a map of the city…

Cited by 0SourcePDFScholar
2024

CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras

CVPR 2024poster

Point-spread-function (PSF) engineering is a well-established computational imaging technique that uses phase masks and other optical elements to embed extra information (e.g. depth) into the images captured by conventional CMOS image sensors. To date however PSF-engineering has not been applied to…

Cited by 2SourcePDFScholar
2024

SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout

NeurIPS 2024poster

Simulation with realistic and interactive agents represents a key task for autonomous vehicle (AV) software development in order to test AV performance in prescribed, often long-tail scenarios. In this work, we propose SceneDiffuser, a scene-level diffusion prior for traffic simulation. We present a…

Cited by 11SourcePDFScholar
2023

TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions

ICCV 2023poster

Point-spread-function (PSF) engineering is a powerful computational imaging technique wherein a custom phase mask is integrated into an optical system to encode additional information into captured images. Used in combination with deep learning, such systems now offer state-of-the-art performance at…

Cited by 3PDFScholar