5 citations · 5 across the 1 of their papers we have counts for
3 papers
cs.CV2024
Robust Optical Flow Computation: A Higher-Order Differential Approach
Chanuka Algama, Kasun Amarasinghe
In the domain of computer vision, optical flow stands as a cornerstone for unraveling dynamic visual scenes. However, the challenge of accurately estimating optical flow under cond…
cs.DB2024
Learned Indexes with Distribution Smoothing via Virtual Points
Kasun Amarasinghe, Farhana Choudhury, Jianzhong Qi +1
Recent research on learned indexes has created a new perspective for indexes as models that map keys to their respective storage locations. These learned indexes are created to app…
cs.LG2022★ 5 cited
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data
Oscar Giles, Kasra Hosseini, Grigorios Mingas +13
Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing. However, for many applications, synthetic data has been sho…