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Brendan Duke
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Journal Articles
- 2022
- [j1]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): 29-40 (2022)
Conference and Workshop Papers
- 2023
- [c7]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: 22680-22689 - 2022
- [c6]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: 58-66 - [c5]Zikun Chen, Ruowei Jiang, Brendan Duke, Han Zhao, Parham Aarabi:
Exploring Gradient-Based Multi-directional Controls in GANs. ECCV (23) 2022: 104-119 - [c4]Ruowei Jiang, Brendan Duke, Frédéric Flament, Parham Aarabi:
Synthesizing ultraviolet skin images via GAN with Gaussian weighted patch blending. ISM 2022: 157-158 - 2021
- [c3]Rohit Saha, Brendan Duke, Florian Shkurti, Graham W. Taylor, Parham Aarabi:
LOHO: Latent Optimization of Hairstyles via Orthogonalization. CVPR 2021: 1984-1993 - [c2]Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor:
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation. CVPR 2021: 5912-5921 - 2018
- [c1]Brendan Duke, Graham W. Taylor:
Generalized Hadamard-Product Fusion Operators for Visual Question Answering. CRV 2018: 39-46
Informal and Other Publications
- 2023
- [i9]Cong Wei, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor, Florian Shkurti:
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers. CoRR abs/2303.13755 (2023) - 2022
- [i8]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 abs/2205.06305 (2022) - [i7]Zikun Chen, Ruowei Jiang, Brendan Duke, Han Zhao, Parham Aarabi:
Exploring Gradient-based Multi-directional Controls in GANs. CoRR abs/2209.00698 (2022) - 2021
- [i6]Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor:
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation. CoRR abs/2101.08833 (2021) - [i5]Rohit Saha, Brendan Duke, Florian Shkurti, Graham W. Taylor, Parham Aarabi:
LOHO: Latent Optimization of Hairstyles via Orthogonalization. CoRR abs/2103.03891 (2021) - [i4]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 abs/2103.17105 (2021) - 2019
- [i3]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 abs/1906.02222 (2019) - [i2]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 abs/1906.02260 (2019) - 2018
- [i1]Brendan Duke, Graham W. Taylor:
Generalized Hadamard-Product Fusion Operators for Visual Question Answering. CoRR abs/1803.09374 (2018)
Coauthor Index
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