Brendan Duke

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 17

Top Topics

Semantic Segmentation

Top Venues

Publications

Cong Wei, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor, Florian Shkurti
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers. CoRR (2023)
Cong Wei, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor, Florian Shkurti
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers. CVPR (2023)
Ruowei Jiang, Brendan Duke, Frédéric Flament, Parham Aarabi
Synthesizing ultraviolet skin images via GAN with Gaussian weighted patch blending. ISM (2022)
Eu Wern Teh, Terrance DeVries, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation. CRV (2022)
Robin Kips, Ruowei Jiang, Sileye O. Ba, Brendan Duke, Matthieu Perrot, Pietro Gori, Isabelle Bloch
Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers. CoRR (2022)
Robin Kips, Ruowei Jiang, Sileye O. Ba, Brendan Duke, Matthieu Perrot, Pietro Gori, Isabelle Bloch
Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers. Comput. Graph. Forum 41 (2) (2022)
Zikun Chen, Ruowei Jiang, Brendan Duke, Han Zhao, Parham Aarabi
Exploring Gradient-Based Multi-directional Controls in GANs. ECCV (23) (2022)
Zikun Chen, Ruowei Jiang, Brendan Duke, Han Zhao, Parham Aarabi
Exploring Gradient-based Multi-directional Controls in GANs. CoRR (2022)
Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation. CoRR (2021)
Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation. CVPR (2021)
Eu Wern Teh, Terrance DeVries, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation. CoRR (2021)
Rohit Saha, Brendan Duke, Florian Shkurti, Graham W. Taylor, Parham Aarabi
LOHO: Latent Optimization of Hairstyles via Orthogonalization. CVPR (2021)
Rohit Saha, Brendan Duke, Florian Shkurti, Graham W. Taylor, Parham Aarabi
LOHO: Latent Optimization of Hairstyles via Orthogonalization. CoRR (2021)
Brendan Duke, Abdalla Ahmed, Edmund Phung, Irina Kezele, Parham Aarabi
Nail Polish Try-On: Realtime Semantic Segmentation of Small Objects for Native and Browser Smartphone AR Applications. CoRR (2019)
TianXing Li, Zhi Yu, Edmund Phung, Brendan Duke, Irina Kezele, Parham Aarabi
Lightweight Real-time Makeup Try-on in Mobile Browsers with Tiny CNN Models for Facial Tracking. CoRR (2019)
Brendan Duke, Graham W. Taylor
Generalized Hadamard-Product Fusion Operators for Visual Question Answering. CRV (2018)
Brendan Duke, Graham W. Taylor
Generalized Hadamard-Product Fusion Operators for Visual Question Answering. CoRR (2018)