24 citations · 29 across the 5 of their papers we have counts for
5 papers
Command A: An Enterprise-Ready Large Language Model
Team Cohere, :, Aakanksha +227
In this report we describe the development of Command A, a powerful large language model purpose-built to excel at real-world enterprise use cases. Command A is an agent-optimised…
Large Scale Real-World Multi-Person Tracking
Bing Shuai, Alessandro Bergamo, Uta Buechler +3
This paper presents a new large scale multi-person tracking dataset -- \texttt{PersonPath22}, which is over an order of magnitude larger than currently available high quality multi…
Multi-Object Tracking with Hallucinated and Unlabeled Videos
Daniel McKee, Bing Shuai, Andrew Berneshawi +4
In this paper, we explore learning end-to-end deep neural trackers without tracking annotations. This is important as large-scale training data is essential for training deep neura…
SiamMOT: Siamese Multi-Object Tracking
Bing Shuai, Andrew Berneshawi, Xinyu Li +2
In this paper, we focus on improving online multi-object tracking (MOT). In particular, we introduce a region-based Siamese Multi-Object Tracking network, which we name SiamMOT. Si…
Multi-Object Tracking with Siamese Track-RCNN
Bing Shuai, Andrew G. Berneshawi, Davide Modolo +1
Multi-object tracking systems often consist of a combination of a detector, a short term linker, a re-identification feature extractor and a solver that takes the output from these…