activity
20232026
most citedGenerating the Past, Present and Future from a Motion-Blurred Image

1 citations · 2 across the 9 of their papers we have counts for

collaborators
Showing 2025 · cs.CVShow all

6 papers · 2 filters

cs.CV2025★ 1 cited

Learning to Refocus with Video Diffusion Models

SaiKiran Tedla, Zhoutong Zhang, Xuaner Zhang +1

Focus is a cornerstone of photography, yet autofocus systems often fail to capture the intended subject, and users frequently wish to adjust focus after capture. We introduce a nov…

cs.CV2025★ 1 cited

Generating the Past, Present and Future from a Motion-Blurred Image

SaiKiran Tedla, Kelly Zhu, Trevor Canham +4

We seek to answer the question: what can a motion-blurred image reveal about a scene's past, present, and future? Although motion blur obscures image details and degrades visual qu…

cs.CV2025

Towards Imperceptible Watermarking Via Environment Illumination for Consumer Cameras

Hodaka Kawachi, Tomoya Nakamura, Hiroaki Santo +4

This paper introduces a method for using LED-based environmental lighting to produce visually imperceptible watermarks for consumer cameras. Our approach optimizes an LED light sou…

cs.CV2025

Off the Planckian Locus: Using 2D Chromaticity to Improve In-Camera Color

SaiKiran Tedla, Joshua E. Little, Hakki Can Karaimer +1

Traditional in-camera colorimetric mapping relies on correlated color temperature (CCT)-based interpolation between pre-calibrated transforms optimized for Planckian illuminants su…

cs.CV2025

Improved Mapping Between Illuminations and Sensors for RAW Images

Abhijith Punnappurath, Luxi Zhao, Hoang Le +3

RAW images are unprocessed camera sensor output with sensor-specific RGB values based on the sensor's color filter spectral sensitivities. RAW images also incur strong color casts…

cs.CV2025

Multispectral Demosaicing via Dual Cameras

SaiKiran Tedla, Junyong Lee, Beixuan Yang +2

Multispectral (MS) images capture detailed scene information across a wide range of spectral bands, making them invaluable for applications requiring rich spectral data. Integratin…