Alexander Long

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 7

Top Topics

View Independent

Reinforcement Learning

Distributed Representations

Top Venues

Publications

Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey
A Sampling Theory Perspective on Activations for Implicit Neural Representations. CoRR (2024)
Amila Silva, Olga Moskvyak, Alexander Long, Ravi Garg, Stephen Gould, Gil Avraham, Anton van den Hengel
LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick using Cosmetic Attributes. WACV (2024)
Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel
Retrieval Augmented Classification for Long-Tail Visual Recognition. CVPR (2022)
Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel
Retrieval Augmented Classification for Long-Tail Visual Recognition. CoRR (2022)
Alexander Long, Alan Blair, Herke van Hoof
Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation. CoRR (2022)
Alexander Long, Alan Blair, Herke van Hoof
Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation. AAAI (2022)
Jayant Gupta, Alexander Long, Corey Kewei Xu, Tian Tang, Shashi Shekhar
Spatial Dimensions of Algorithmic Transparency: A Summary. SSTD (2021)
Robert Gove, Joshua Saxe, Sigfried Gold, Alexander Long, Giacomo Bergamo
SEEM: a scalable visualization for comparing multiple large sets of attributes for malware analysis. VizSEC (2014)
Alexander Long, Joshua Saxe, Robert Gove
Detecting malware samples with similar image sets. VizSEC (2014)