Search Results for author: Sahan Liyanaarachchi

Found 3 papers, 1 papers with code

CAFe: Cost and Age aware Federated Learning

no code implementations24 May 2024 Sahan Liyanaarachchi, Kanchana Thilakarathna, Sennur Ulukus

If enough clients have responded back, the round is deemed successful and the local gradients of all the clients that responded back are used to update the global model.

Federated Learning

Extending Multi-Object Tracking systems to better exploit appearance and 3D information

no code implementations25 Dec 2019 Kanchana Ranasinghe, Sahan Liyanaarachchi, Harsha Ranasinghe, Mayuka Jayawardhana

Tracking multiple objects in real time is essential for a variety of real-world applications, with self-driving industry being at the foremost.

Object Real-Time Multi-Object Tracking

Bipartite Conditional Random Fields for Panoptic Segmentation

1 code implementation11 Dec 2019 Sadeep Jayasumana, Kanchana Ranasinghe, Mayuka Jayawardhana, Sahan Liyanaarachchi, Harsha Ranasinghe

To tackle this problem, we propose a CRF model, named Bipartite CRF or BCRF, with two types of random variables for semantic and instance labels.

Panoptic Segmentation Segmentation

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