1 code implementation • CVPR 2022 • Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu, Xi Zhang, Tomas F. Yago Vicente, Thomas Dideriksen, Himanshu Arora, Matthieu Guillaumin, Jitendra Malik
ABO contains product catalog images, metadata, and artist-created 3D models with complex geometries and physically-based materials that correspond to real, household objects.
1 code implementation • ECCV 2018 • Hieu Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras
The A-Net modifies the original training images constrained by a simplified physical shadow model and is focused on fooling the D-Net's shadow predictions.
Ranked #4 on Shadow Detection on SBU
no code implementations • ICCV 2017 • Vu Nguyen, Tomas F. Yago Vicente, Maozheng Zhao, Minh Hoai, Dimitris Samaras
We introduce scGAN, a novel extension of conditional Generative Adversarial Networks (GAN) tailored for the challenging problem of shadow detection in images.
Ranked #6 on RGB Salient Object Detection on ISTD
no code implementations • CVPR 2016 • Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras
However, shadow detection on broader image domains is still challenging due to the lack of annotated training data.
no code implementations • ICCV 2015 • Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras
Optimizing the leave-one-out cross validation error is typically difficult, but it can be done efficiently in our framework.