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

10 papers

cs.CV2026

Dark3R: Learning Structure from Motion in the Dark

Andrew Y Guo, Anagh Malik, SaiKiran Tedla +7

We introduce Dark3R, a framework for structure from motion in the dark that operates directly on raw images with signal-to-noise ratios (SNRs) below dB -- a regime where conve…

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…

eess.IV2025

Examining Joint Demosaicing and Denoising for Single-, Quad-, and Nona-Bayer Patterns

SaiKiran Tedla, Abhijith Punnappurath, Luxi Zhao +1

Camera sensors have color filters arranged in a mosaic layout, traditionally following the Bayer pattern. Demosaicing is a critical step camera hardware applies to obtain a full-ch…

eess.IV2025

Gain-MLP: Improving HDR Gain Map Encoding via a Lightweight MLP

Trevor D. Canham, SaiKiran Tedla, Michael J. Murdoch +1

While most images shared on the web and social media platforms are encoded in standard dynamic range (SDR), many displays now can accommodate high dynamic range (HDR) content. Addi…

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…

cs.CV2023

Examining Autoexposure for Challenging Scenes

SaiKiran Tedla, Beixuan Yang, Michael S. Brown

Autoexposure (AE) is a critical step applied by camera systems to ensure properly exposed images. While current AE algorithms are effective in well-lit environments with constant i…