Graham W. Taylor
30 papers · 2006–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (9) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Academic Marathon (19)
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Conference Polyglot
(9)
π
Keyword Trendsetter Combo
(9)
π
Grand Slam
π§¬
Topic Evolution
π±
Topic Pioneer
π
Keyword Champion
π
Century Club
(30)
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year
(7)
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(127)
Conferences
NIPS (11)
CVPR (4)
ICCV (4)
ICLR (4)
ECCV (2)
ICML (2)
AAAI (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
generative model
(3)
motion capture
(3)
restricted boltzmann machine
(3)
generative adversarial network
(2)
latent variable model
(2)
graph neural network
(2)
few-shot learning
(2)
attention mechanism
(2)
sparse attention
(2)
temporal modeling
(2)
high-dimensional datum
(2)
neural network
(2)
pose estimation
(1)
motion analysis
(1)
metric learning
(1)
human motion modeling
(1)
image generation
(1)
zero-shot learning
(1)
sequence generation
(1)
motion synthesis
(1)
Papers
Adapting Prediction Sets to Distribution Shifts Without Labels
UAI 2025
LAST SToP for Modeling Asynchronous Time Series
ICML 2025
CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale
ICLR 2025
Bridging the AI Gap: Evaluating the Impact of an AI Education Program for Caregivers on Parental Leave
AAAI 2025
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
NIPS 2024
Agglomerative Token Clustering
ECCV 2024
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers
CVPR 2023
A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
NIPS 2023
The Catalog Problem: Clustering and Ordering Variable-Sized Sets
ICML 2023
FlyView: a bio-informed optical flow truth dataset for visual navigation using panoramic stereo vision
NIPS 2022
On Evaluation Metrics for Graph Generative Models
ICLR 2022
LOHO: Latent Optimization of Hairstyles via Orthogonalization
CVPR 2021
SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation
CVPR 2021
Unconstrained Scene Generation With Locally Conditioned Radiance Fields
ICCV 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
NIPS 2021
Context-Aware Scene Graph Generation With Seq2Seq Transformers
ICCV 2021
Generative Compositional Augmentations for Scene Graph Prediction
ICCV 2021
Parameter Prediction for Unseen Deep Architectures
NIPS 2021
Instance Selection for GANs
NIPS 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis
ECCV 2020
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
ICCV 2019
Understanding Attention and Generalization in Graph Neural Networks
NIPS 2019
Quantitatively Evaluating GANs With Divergences Proposed for Training
ICLR 2018
Glimpse Clouds: Human Activity Recognition From Unstructured Feature Points
CVPR 2018
Attacking Binarized Neural Networks
ICLR 2018
Two Distributed-State Models For Generating High-Dimensional Time Series
JMLR 2011
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines
NIPS 2011
Pose-Sensitive Embedding by Nonlinear NCA Regression
NIPS 2010
The Recurrent Temporal Restricted Boltzmann Machine
NIPS 2008
Modeling Human Motion Using Binary Latent Variables
NIPS 2006