Graham W. Taylor - Citegraph

Author Info

Name	Affiliation	Papers
GRAHAM W. TAYLOR	Univ Waterloo, Dept Syst Design Engn, PAMI Res Grp, Waterloo, ON N2L 3G1, Canada	85
Collaborators	Citations	PageRank
131	1523	127.22
Referers	Referees	References
3971	2016	1153

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Publications (85 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation	0	0.34	2022
On Evaluation Metrics for Graph Generative Models	0	0.34	2022
Understanding the impact of image and input resolution on deep digital pathology patch classifiers	0	0.34	2022
Context-aware Scene Graph Generation with Seq2Seq Transformers.	0	0.34	2021
LOHO: Latent Optimization of Hairstyles via Orthogonalization	0	0.34	2021
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation	1	0.37	2021
Generative Compositional Augmentations for Scene Graph Prediction.	0	0.34	2021
Learning with Less Data Via Weakly Labeled Patch Classification in Digital Pathology	2	0.41	2020
Multisource Domain Adaptation for Remote Sensing Using Deep Neural Networks	0	0.34	2020
Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer	0	0.34	2020
Response Time Analysis for Explainability of Visual Processing in CNNs.	0	0.34	2020
Instance Selection for GANs	0	0.34	2020
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation	0	0.34	2020
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning.	0	0.34	2019
Understanding Attention and Generalization in Graph Neural Networks	0	0.34	2019
Batch Normalization is a Cause of Adversarial Vulnerability.	3	0.37	2019
Discovery Radiomics with CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy.	1	0.36	2019
Image Classification with Hierarchical Multigraph Networks	0	0.34	2019
Apparent Age Estimation with Relational Networks	0	0.34	2019
Classification and Re-Identification of Fruit Fly Individuals Across Days With Convolutional Neural Networks	1	0.35	2019
Self-Paced Learning with Adaptive Deep Visual Embeddings.	0	0.34	2018
Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures.	3	0.41	2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks.	6	0.42	2018
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points	13	0.56	2018
Real-Time End-to-End Action Detection with Two-Stream Networks	0	0.34	2018
Quantitatively Evaluating GANs With Divergences Proposed for Training.	7	0.45	2018
Adversarial Training Versus Weight Decay.	1	0.35	2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality.	1	0.34	2018
Convolutional Neural Networks Regularized by Correlated Noise	0	0.34	2018
Predicting Adversarial Examples with High Confidence.	0	0.34	2018
Generalized Hadamard-Product Fusion Operators for Visual Question Answering	1	0.35	2018
Ble Beacon Based Patient Tracking In Smart Care Facilities	0	0.34	2018
Understanding Anatomy Classification Through Attentive Response Maps	1	0.36	2018
Designing learned CO-based occupancy estimation in smart buildings.	1	0.43	2018
Deep Learning Object Detection Methods for Ecological Camera Trap Data	3	0.41	2018
Stochastic Layer-Wise Precision In Deep Neural Networks	2	0.38	2018
The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment	0	0.34	2017
Deep Multimodal Learning: A Survey on Recent Advances and Trends.	37	1.18	2017
Modeling Grasp Motor Imagery Through Deep Conditional Generative Models.	4	0.45	2017
Dataset Augmentation in Feature Space.	11	0.60	2017
Structure Optimization for Deep Multimodal Fusion Networks using Graph-Induced Kernels.	2	0.36	2017
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks.	9	0.66	2017
Modout: Learning Multi-Modal Architectures by Stochastic Regularization	3	0.38	2017
Domain Adaptation Using Representation Learning for the Classification of Remote Sensing Images.	4	0.41	2017
Hand pose estimation through semi-supervised and weakly-supervised learning.	13	0.54	2017
Attacking Binarized Neural Networks.	10	0.51	2017
Automatic Moth Detection from Trap Images for Pest Management.	17	1.23	2016
Theano-MPI: a Theano-based Distributed Training Framework.	9	0.59	2016
Deep Learning on FPGAs: Past, Present, and Future.	15	0.64	2016
Generative Adversarial Parallelization.	0	0.34	2016

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