Multi-task Learning of Facial Landmarks and Expression. - Terrance Devries; Kumar Biswaranjan; Graham W. Taylor (CRV, 2014)

Dataset Augmentation in Feature Space. - Terrance DeVries; Graham W. Taylor (ICLR (Workshop), 2017)

Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks. - Terrance Devries; Dhanesh Ramachandram (CoRR, 2017)

LesionSeg: Semantic segmentation of skin lesions using Deep Convolutional Neural Network. - Dhanesh Ramachandram; Terrance Devries (CoRR, 2017)

Improved Regularization of Convolutional Neural Networks with Cutout. - Terrance Devries; Graham W. Taylor (CoRR, 2017)

Learning Confidence for Out-of-Distribution Detection in Neural Networks. - Terrance DeVries; Graham W. Taylor (CoRR, 2018)

Leveraging Uncertainty Estimates for Predicting Segmentation Quality. - Terrance DeVries; Graham W. Taylor (CoRR, 2018)

Does Object Recognition Work for Everyone? - Terrance DeVries; Ishan Misra; Changhan Wang; Laurens van der Maaten (CVPR Workshops, 2019)

On the Evaluation of Conditional GANs. - Terrance DeVries; Adriana Romero; Luis Pineda; Graham W. Taylor; Michal Drozdzal (CoRR, 2019)

ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis. - Eu Wern Teh; Terrance DeVries; Graham W. Taylor (ECCV (24), 2020)

Instance Selection for GANs. - Terrance DeVries; Michal Drozdzal; Graham W. Taylor (NeurIPS, 2020)

Building LEGO Using Deep Generative Models of Graphs. - Rylee Thompson; Elahe Ghalebi; Terrance DeVries; Graham W. Taylor (CoRR, 2020)

Unconstrained Scene Generation with Locally Conditioned Radiance Fields. - Terrance DeVries; Miguel Ángel Bautista 001; Nitish Srivastava; Graham W. Taylor; Joshua M. Susskind (ICCV, 2021)

The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation. - Eu Wern Teh; Terrance DeVries; Brendan Duke; Ruowei Jiang; Parham Aarabi; Graham W. Taylor (CRV, 2022)