Graham W. Taylor
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
55
Venues
19
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
55 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Bridging the AI Gap: Evaluating the Impact of an AI Education Program for Caregivers on Parental Leave. | Kristina L. Kupferschmidt, Flora Wan, Juan Carrasquilla Alvarez, Dora Gaviria Castao, Graham W. Taylor, Sedef Akinli Koak |
| 2025 | AI | Taxonomic Reasoning for Rare Arthropods: Combining Dense Image Captioning and RAG for Interpretable Classification. | Nathaniel Lesperance, Sujeevan Ratnasingham, Graham W. Taylor |
| 2025 | ICLR | CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale. | ZeMing Gong, Austin T. Wang, Xiaoliang Huo, Joakim Bruslund Haurum, Scott C. Lowe, Graham W. Taylor, Angel X. Chang |
| 2025 | ICML | LAST SToP for Modeling Asynchronous Time Series. | Shubham Gupta, Thibaut Durand, Graham W. Taylor, Lilian W. Bialokozowicz |
| 2025 | WACV | LoSA: Long-Short-Range Adapter for Scaling End-to-End Temporal Action Localization. | Akshita Gupta, Gaurav Mittal, Ahmed Magooda, Ye Yu, Graham W. Taylor, Mei Chen |
| 2025 | UAI | Adapting Prediction Sets to Distribution Shifts Without Labels. | Kevin Kasa, Zhiyu Zhang, Heng Yang, Graham W. Taylor |
| 2024 | BMVC | Open-Vocabulary Temporal Action Localization using Multimodal Guidance. | Akshita Gupta, Aditya Arora, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Graham W. Taylor |
| 2024 | ECCV | Agglomerative Token Clustering. | Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund |
| 2023 | CVPR | Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers. | Cong Wei, Brendan Duke, Ruowei Jiang, Parham Aarabi, Graham W. Taylor, Florian Shkurti |
| 2023 | ICML | The Catalog Problem: Clustering and Ordering Variable-Sized Sets. | Mateusz Maria Jurewicz, Graham W. Taylor, Leon Derczynski |
| 2022 | ICLR | On Evaluation Metrics for Graph Generative Models. | Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor |
| 2021 | CVPR | SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation. | Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor |
| 2021 | CVPR | LOHO: Latent Optimization of Hairstyles via Orthogonalization. | Rohit Saha, Brendan Duke, Florian Shkurti, Graham W. Taylor, Parham Aarabi |
| 2021 | ICCV | Unconstrained Scene Generation with Locally Conditioned Radiance Fields. | Terrance DeVries, Miguel ngel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind |
| 2021 | ICCV | Generative Compositional Augmentations for Scene Graph Prediction. | Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky |
| 2021 | ICCV | Context-aware Scene Graph Generation with Seq2Seq Transformers. | Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guangwei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs |
| 2021 | ISTAS | CARE-AI special session on AI ethics. | Clair Baleshta, Dylan White, Glen Reavie, Alysha Cooper, Graham W. Taylor, Joshua August Gus Skorburg, David Van Bruwaene, Sarah Gignac, Chris Schmidt, Laura McDonald, Patricia Thaine, Chlo Ryan, Rency Luan |
| 2021 | ISTAS | One Health Informatics and the stewardship of complex systems. | Graham W. Taylor, Theresa Bernardo, Deborah A. Stacey, Kassy Raymond, Rozita Dara, Samira Yousefinaghani, Ethan Pike |
| 2020 | BMVC | Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. | Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky |
| 2020 | CVPR | Response Time Analysis for Explainability of Visual Processing in CNNs. | J. Eric Taylor, Shashank Shekhar, Graham W. Taylor |
| 2020 | ECCV | Learning Permutation Invariant Representations Using Memory Networks. | Shivam Kalra, Mohammed Adnan, Graham W. Taylor, Hamid R. Tizhoosh |
| 2020 | ECCV | ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis. | Eu Wern Teh, Terrance DeVries, Graham W. Taylor |
| 2020 | ESANN | Modular Length Control for Sentence Generation. | Katya Kudashkina, Peter Wittek, Jamie Kiros, Graham W. Taylor |
| 2020 | IJCNN | Enabling Continual Learning with Differentiable Hebbian Plasticity. | Vithursan Thangarasa, Thomas Miconi, Graham W. Taylor |
| 2020 | WACV | Similarity Learning Networks for Animal Individual Re-Identification - Beyond the Capabilities of a Human Observer. | Stefan Schneider, Graham W. Taylor, Stefan C. Kremer |
| 2019 | BMVC | Image Classification with Hierarchical Multigraph Networks. | Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor |
| 2019 | CVPR | Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. | Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong |
| 2019 | ICCV | Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction. | Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, R. Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor |
| 2019 | WACV | Classification and Re-Identification of Fruit Fly Individuals Across Days With Convolutional Neural Networks. | Nihal Murali, Jon Schneider, Joel Levine, Graham W. Taylor |
| 2018 | BMVC | Self-Paced Learning with Adaptive Deep Visual Embeddings. | Vithursan Thangarasa, Graham W. Taylor |
| 2018 | CVPR | Glimpse Clouds: Human Activity Recognition From Unstructured Feature Points. | Fabien Baradel, Christian Wolf, Julien Mille, Graham W. Taylor |
| 2018 | ICLR | Attacking Binarized Neural Networks. | Angus Galloway, Graham W. Taylor, Medhat Moussa |
| 2018 | ICLR | Quantitatively Evaluating GANs With Divergences Proposed for Training. | Daniel Jiwoong Im, He Ma, Graham W. Taylor, Kristin Branson |
| 2018 | IWCMC | Distributed Sensor Network for Indirect Occupancy Measurement in Smart Buildings. | Colin Brennan, Graham W. Taylor, Petros Spachos |
| 2018 | PERCOM | BLE Beacon Based Patient Tracking in Smart Care Facilities. | Brad Kennedy, Graham W. Taylor, Petros Spachos |
| 2018 | UAI | Stochastic Layer-Wise Precision in Deep Neural Networks. | Griffin Lacey, Graham W. Taylor, Shawki Areibi |
| 2017 | CVPR | Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks. | Devinder Kumar, Alexander Wong, Graham W. Taylor |
| 2017 | ESANN | Structure optimization for deep multimodal fusion networks using graph-induced kernels. | Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor |
| 2017 | ICLR | Dataset Augmentation in Feature Space. | Terrance DeVries, Graham W. Taylor |
| 2016 | EuroPar | Theano-MPI: A Theano-Based Distributed Training Framework. | He Ma, Fei Mao, Graham W. Taylor |
| 2016 | IJCNN | Learning a metric for class-conditional KNN. | Daniel Jiwoong Im, Graham W. Taylor |
| 2014 | ACCV | Hand Segmentation with Structured Convolutional Learning. | Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout |
| 2014 | ECCV | Multi-scale Deep Learning for Gesture Detection and Localization. | Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout |
| 2012 | CVPR | 3D skeletal reconstruction from low-resolution multi-view images. | Mayank Rana, Graham W. Taylor, Ian Spiro, Christoph Bregler |
| 2011 | CVPR | Learning invariance through imitation. | Graham W. Taylor, Ian Spiro, Christoph Bregler, Rob Fergus |
| 2011 | ICCV | Adaptive deconvolutional networks for mid and high level feature learning. | Matthew D. Zeiler, Graham W. Taylor, Rob Fergus |
| 2011 | IJCNN | Unsupervised and transfer learning challenge. | Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, David W. Aha |
| 2010 | CVPR | Dynamical binary latent variable models for 3D human pose tracking. | Graham W. Taylor, Leonid Sigal, David J. Fleet, Geoffrey E. Hinton |
| 2010 | CVPR | Deconvolutional networks. | Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylor, Robert Fergus |
| 2010 | ECCV | Convolutional Learning of Spatio-temporal Features. | Graham W. Taylor, Rob Fergus, Yann LeCun, Christoph Bregler |
| 2010 | ICPR | Body Motion Analysis for Multi-modal Identity Verification. | George Williams, Graham W. Taylor, Kirill Smolskiy, Christoph Bregler |
| 2009 | ESANN | Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine. | Matthew D. Zeiler, Graham W. Taylor, Nikolaus F. Troje, Geoffrey E. Hinton |
| 2009 | ICML | Factored conditional restricted Boltzmann Machines for modeling motion style. | Graham W. Taylor, Geoffrey E. Hinton |
| 2009 | UAI | Products of Hidden Markov Models: It Takes N>1 to Tango. | Graham W. Taylor, Geoffrey E. Hinton |
| 2008 | ICASSP | Maximum a posteriori ICA: Applying prior knowledge to the separation of acoustic sources. | Graham W. Taylor, Michael L. Seltzer, Alex Acero |