6 citations · 12 across the 14 of their papers we have counts for
18 papers
Towards Unified Dynamic Face Landmark Detection
Sebastian Regalado, Varshanth R. Rao, Ruowei Jiang +2
Although advancements in face landmark detection (FLD) methods continue to push performance boundaries, they overlook two major functional limitations: (1) different network parame…
SEdit: Text-Guided Image Editing with Precise Semantic and Spatial Control
Xudong Liu, Zikun Chen, Ruowei Jiang +5
Recent advances in diffusion models have enabled high-quality generation and manipulation of images guided by texts, as well as concept learning from images. However, naive applica…
SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
Kejia Yin, Varshanth R. Rao, Ruowei Jiang +3
Self-supervised landmark estimation is a challenging task that demands the formation of locally distinct feature representations to identify sparse facial landmarks in the absence…
SC2GAN: Rethinking Entanglement by Self-correcting Correlated GAN Space
Zikun Chen, Han Zhao, Parham Aarabi +1
Generative Adversarial Networks (GANs) can synthesize realistic images, with the learned latent space shown to encode rich semantic information with various interpretable direction…
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers
Cong Wei, Brendan Duke, Ruowei Jiang +3
Vision Transformers (ViT) have shown their competitive advantages performance-wise compared to convolutional neural networks (CNNs) though they often come with high computational c…
Exploring Gradient-based Multi-directional Controls in GANs
Zikun Chen, Ruowei Jiang, Brendan Duke +2
Generative Adversarial Networks (GANs) have been widely applied in modeling diverse image distributions. However, despite its impressive applications, the structure of the latent s…
Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation
Zeqi Li, Ruowei Jiang, Parham Aarabi
Generative adversarial networks (GANs) have shown significant potential in modeling high dimensional distributions of image data, especially on image-to-image translation tasks. Ho…
Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example
Robin Kips, Ruowei Jiang, Sileye Ba +5
While makeup virtual-try-on is now widespread, parametrizing a computer graphics rendering engine for synthesizing images of a given cosmetics product remains a challenging task. I…
Continuous Face Aging via Self-estimated Residual Age Embedding
Zeqi Li, Ruowei Jiang, Parham Aarabi
Face synthesis, including face aging, in particular, has been one of the major topics that witnessed a substantial improvement in image fidelity by using generative adversarial net…
LOHO: Latent Optimization of Hairstyles via Orthogonalization
Rohit Saha, Brendan Duke, Florian Shkurti +2
Hairstyle transfer is challenging due to hair structure differences in the source and target hair. Therefore, we propose Latent Optimization of Hairstyles via Orthogonalization (LO…
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation
Eu Wern Teh, Terrance DeVries, Brendan Duke +3
We consider the task of semi-supervised semantic segmentation, where we aim to produce pixel-wise semantic object masks given only a small number of human-labeled training examples…
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation
Brendan Duke, Abdalla Ahmed, Christian Wolf +2
In this paper we introduce a Transformer-based approach to video object segmentation (VOS). To address compounding error and scalability issues of prior work, we propose a scalable…
Lightweight Real-time Makeup Try-on in Mobile Browsers with Tiny CNN Models for Facial Tracking
TianXing Li, Zhi Yu, Edmund Phung +3
Recent works on convolutional neural networks (CNNs) for facial alignment have demonstrated unprecedented accuracy on a variety of large, publicly available datasets. However, the…
Nail Polish Try-On: Realtime Semantic Segmentation of Small Objects for Native and Browser Smartphone AR Applications
Brendan Duke, Abdalla Ahmed, Edmund Phung +2
We provide a system for semantic segmentation of small objects that enables nail polish try-on AR applications to run client-side in realtime in native and web mobile applications.…
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization
Avishek Joey Bose, Parham Aarabi
Adversarial attacks involve adding, small, often imperceptible, perturbations to inputs with the goal of getting a machine learning model to misclassifying them. While many differe…
Real-time deep hair matting on mobile devices
Alex Levinshtein, Cheng Chang, Edmund Phung +3
Augmented reality is an emerging technology in many application domains. Among them is the beauty industry, where live virtual try-on of beauty products is of great importance. In…
Hybrid eye center localization using cascaded regression and hand-crafted model fitting
Alex Levinshtein, Edmund Phung, Parham Aarabi
We propose a new cascaded regressor for eye center detection. Previous methods start from a face or an eye detector and use either advanced features or powerful regressors for eye…
A Convolutional Neural Network for Search Term Detection
Hojjat Salehinejad, Joseph Barfett, Parham Aarabi +4
Pathfinding in hospitals is challenging for patients, visitors, and even employees. Many people have experienced getting lost due to lack of clear guidance, large footprint of hosp…