Search Results for author: Brendan Duke

Found 9 papers, 3 papers with code

Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers

no code implementations CVPR 2023 Cong Wei, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor, Florian Shkurti

Equipped with the learned unstructured attention pattern, sparse attention ViT (Sparsifiner) produces a superior Pareto-optimal trade-off between FLOPs and top-1 accuracy on ImageNet compared to token sparsity.

Exploring Gradient-based Multi-directional Controls in GANs

1 code implementation1 Sep 2022 Zikun Chen, Ruowei Jiang, Brendan Duke, Han Zhao, Parham Aarabi

Generative Adversarial Networks (GANs) have been widely applied in modeling diverse image distributions.

Disentanglement Navigate

Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers

no code implementations12 May 2022 Robin Kips, Ruowei Jiang, Sileye Ba, Brendan Duke, Matthieu Perrot, Pietro Gori, Isabelle Bloch

In this paper we propose a novel framework based on deep learning to build a real-time inverse graphics encoder that learns to map a single example image into the parameter space of a given augmented reality rendering engine.

Neural Rendering Self-Supervised Learning +1

LOHO: Latent Optimization of Hairstyles via Orthogonalization

1 code implementation CVPR 2021 Rohit Saha, Brendan Duke, Florian Shkurti, Graham W. Taylor, Parham Aarabi

Therefore, we propose Latent Optimization of Hairstyles via Orthogonalization (LOHO), an optimization-based approach using GAN inversion to infill missing hair structure details in latent space during hairstyle transfer.


Lightweight Real-time Makeup Try-on in Mobile Browsers with Tiny CNN Models for Facial Tracking

no code implementations5 Jun 2019 TianXing Li, Zhi Yu, Edmund Phung, Brendan Duke, Irina Kezele, Parham Aarabi

Recent works on convolutional neural networks (CNNs) for facial alignment have demonstrated unprecedented accuracy on a variety of large, publicly available datasets.

Nail Polish Try-On: Realtime Semantic Segmentation of Small Objects for Native and Browser Smartphone AR Applications

no code implementations5 Jun 2019 Brendan Duke, Abdalla Ahmed, Edmund Phung, Irina Kezele, Parham Aarabi

We also provide a postprocessing and rendering algorithm for nail polish try-on, which integrates with our semantic segmentation and fingernail base-tip direction predictions.

Semantic Segmentation

Generalized Hadamard-Product Fusion Operators for Visual Question Answering

no code implementations26 Mar 2018 Brendan Duke, Graham W. Taylor

We propose a generalized class of multimodal fusion operators for the task of visual question answering (VQA).

Neural Architecture Search Question Answering +1

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