6 citations · 7 across the 4 of their papers we have counts for
4 papers
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations
Bryce Ferenczi, Michael Burke, Tom Drummond
Various works have aimed at combining the inference efficiency of recurrent models and training parallelism of multi-head attention for sequence modeling. However, most of these wo…
Carefully Structured Compression: Efficiently Managing StarCraft II Data
Bryce Ferenczi, Rhys Newbury, Michael Burke +1
Creation and storage of datasets are often overlooked input costs in machine learning, as many datasets are simple image label pairs or plain text. However, datasets with more comp…
Motion Perceiver: Real-Time Occupancy Forecasting for Embedded Systems
Bryce Ferenczi, Michael Burke, Tom Drummond
This work introduces a novel and adaptable architecture designed for real-time occupancy forecasting that outperforms existing state-of-the-art models on the Waymo Open Motion Data…
Knowledge Combination to Learn Rotated Detection Without Rotated Annotation
Tianyu Zhu, Bryce Ferenczi, Pulak Purkait +3
Rotated bounding boxes drastically reduce output ambiguity of elongated objects, making it superior to axis-aligned bounding boxes. Despite the effectiveness, rotated detectors are…