8 citations · 13 across the 11 of their papers we have counts for
13 papers · 1 filter
Feature Recovery for Object Understanding After Irreversible Fire Damage
Aditi Tiwari, Sofia Stoica, Savya Khosla +2
Objects in post-fire environments often undergo irreversible physical transformations that change their geometry, material state, and visual appearance. Detecting and identifying t…
VLMs Win a Systematic Evaluation of Underwater Image Reconstruction
Sara Aghajanzadeh, Yingxue Wang, Ieva Bagdonaviciute +1
Underwater image restoration consists of recovering an image which looks like there is no water present. To date, evaluation has not been systematic. This paper describes a systema…
How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios
Mantas Mazeika, Eric Tang, Andy Zou +6
In recent years, deep neural networks have demonstrated increasingly strong abilities to recognize objects and activities in videos. However, as video understanding becomes widely…
Towards Robust Low Light Image Enhancement
Sara Aghajanzadeh, David Forsyth
In this paper, we study the problem of making brighter images from dark images found in the wild. The images are dark because they are taken in dim environments. They suffer from c…
StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN
Min Jin Chong, Hsin-Ying Lee, David Forsyth
Recently, StyleGAN has enabled various image manipulation and editing tasks thanks to the high-quality generation and the disentangled latent space. However, additional architectur…
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies
Dominic Roberts, Ara Danielyan, Hang Chu +2
Generative models for 3D shapes represented by hierarchies of parts can generate realistic and diverse sets of outputs. However, existing models suffer from the key practical limit…