3 papers
cs.CV2020
Identity Enhanced Residual Image Denoising
Saeed Anwar, Cong Phuoc Huynh, Fatih Porikli
We propose to learn a fully-convolutional network model that consists of a Chain of Identity Mapping Modules and residual on the residual architecture for image denoising. Our netw…
cs.CV2018
Can 3D Pose be Learned from 2D Projections Alone?
Dylan Drover, Rohith MV, Ching-Hang Chen +3
3D pose estimation from a single image is a challenging task in computer vision. We present a weakly supervised approach to estimate 3D pose points, given only 2D pose landmarks. O…
cs.CV2018
CRAFT: Complementary Recommendations Using Adversarial Feature Transformer
Cong Phuoc Huynh, Arridhana Ciptadi, Ambrish Tyagi +1
Traditional approaches for complementary product recommendations rely on behavioral and non-visual data such as customer co-views or co-buys. However, certain domains such as fashi…