Terrance DeVries

20 papers A* 2Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation. CRV Eu Wern Teh, Terrance DeVries, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor
2021	J	`jnl`	The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation. CoRR Eu Wern Teh, Terrance DeVries, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor
2021	A*	`conf`	Unconstrained Scene Generation with Locally Conditioned Radiance Fields. ICCV Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
2021	J	`jnl`	Unconstrained Scene Generation with Locally Conditioned Radiance Fields. CoRR Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
2020	J	`jnl`	Building LEGO Using Deep Generative Models of Graphs. CoRR Rylee Thompson, Elahe Ghalebi, Terrance DeVries, Graham W. Taylor
2020	A*	`conf`	Instance Selection for GANs. NeurIPS Terrance DeVries, Michal Drozdzal, Graham W. Taylor
2020	J	`jnl`	Instance Selection for GANs. CoRR Terrance DeVries, Michal Drozdzal, Graham W. Taylor
2020	—	`conf`	ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis. ECCV (24) Eu Wern Teh, Terrance DeVries, Graham W. Taylor
2020	J	`jnl`	ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis. CoRR Eu Wern Teh, Terrance DeVries, Graham W. Taylor
2019	—	`conf`	Does Object Recognition Work for Everyone? CVPR Workshops Terrance DeVries, Ishan Misra, Changhan Wang, Laurens van der Maaten
2019	J	`jnl`	Does Object Recognition Work for Everyone? CoRR Terrance DeVries, Ishan Misra, Changhan Wang, Laurens van der Maaten
2019	J	`jnl`	On the Evaluation of Conditional GANs. CoRR Terrance DeVries, Adriana Romero, Luis Pineda, Graham W. Taylor, Michal Drozdzal
2018	J	`jnl`	Learning Confidence for Out-of-Distribution Detection in Neural Networks. CoRR Terrance DeVries, Graham W. Taylor
2018	J	`jnl`	Leveraging Uncertainty Estimates for Predicting Segmentation Quality. CoRR Terrance DeVries, Graham W. Taylor
2017	—	`conf`	Dataset Augmentation in Feature Space. ICLR (Workshop) Terrance DeVries, Graham W. Taylor
2017	J	`jnl`	Dataset Augmentation in Feature Space. CoRR Terrance DeVries, Graham W. Taylor
2017	J	`jnl`	Improved Regularization of Convolutional Neural Networks with Cutout. CoRR Terrance DeVries, Graham W. Taylor
2017	J	`jnl`	LesionSeg: Semantic segmentation of skin lesions using Deep Convolutional Neural Network. CoRR Dhanesh Ramachandram, Terrance DeVries
2017	J	`jnl`	Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks. CoRR Terrance DeVries, Dhanesh Ramachandram
2014	—	`conf`	Multi-task Learning of Facial Landmarks and Expression. CRV Terrance DeVries, Kumar Biswaranjan, Graham W. Taylor