14 citations · 21 across the 4 of their papers we have counts for
5 papers
LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization
Sheng Liu, Cong Phuoc Huynh, Cong Chen +2
We present a simple yet effective self-supervised pre-training method for image harmonization which can leverage large-scale unannotated image datasets. To achieve this goal, we fi…
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…
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…
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…
Chaining Identity Mapping Modules for Image Denoising
Saeed Anwar, Cong Phouc Huynh, Fatih Porikli
We propose to learn a fully-convolutional network model that consists of a Chain of Identity Mapping Modules (CIMM) for image denoising. The CIMM structure possesses two distinctiv…