activity
20192025
most citedIntrinsic Image Decomposition via Ordinal Shading

43 citations · 94 across the 8 of their papers we have counts for

collaborators

8 papers

cs.GR2025★ 3 cited

Physically Controllable Relighting of Photographs

Chris Careaga, Yağız Aksoy

We present a self-supervised approach to in-the-wild image relighting that enables fully controllable, physically based illumination editing. We achieve this by combining the physi…

cs.CV2024

Intrinsic Single-Image HDR Reconstruction

Sebastian Dille, Chris Careaga, Yağız Aksoy

The low dynamic range (LDR) of common cameras fails to capture the rich contrast in natural scenes, resulting in loss of color and details in saturated pixels. Reconstructing the h…

cs.CV2024★ 25 cited

Colorful Diffuse Intrinsic Image Decomposition in the Wild

Chris Careaga, Yağız Aksoy

Intrinsic image decomposition aims to separate the surface reflectance and the effects from the illumination given a single photograph. Due to the complexity of the problem, most p…

cs.CV2023

Intrinsic Harmonization for Illumination-Aware Compositing

Chris Careaga, S. Mahdi H. Miangoleh, Yağız Aksoy

Despite significant advancements in network-based image harmonization techniques, there still exists a domain disparity between typical training pairs and real-world composites enc…

cs.CV2023★ 43 cited

Intrinsic Image Decomposition via Ordinal Shading

Chris Careaga, Yağız Aksoy

Intrinsic decomposition is a fundamental mid-level vision problem that plays a crucial role in various inverse rendering and computational photography pipelines. Generating highly…

cs.CV2023

Computational Flash Photography through Intrinsics

Sepideh Sarajian Maralan, Chris Careaga, Yağız Aksoy

Flash is an essential tool as it often serves as the sole controllable light source in everyday photography. However, the use of flash is a binary decision at the time a photograph…

eess.AS2020★ 4 cited

A Study of Few-Shot Audio Classification

Piper Wolters, Chris Careaga, Brian Hutchinson +1

Advances in deep learning have resulted in state-of-the-art performance for many audio classification tasks but, unlike humans, these systems traditionally require large amounts of…

cs.CV2019★ 19 cited

Metric-Based Few-Shot Learning for Video Action Recognition

Chris Careaga, Brian Hutchinson, Nathan Hodas +1

In the few-shot scenario, a learner must effectively generalize to unseen classes given a small support set of labeled examples. While a relatively large amount of research has gon…