most citedSemantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach

6 citations · 6 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 6 cited

Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach

Abdulrahman Kerim, Felipe Chamone, Washington Ramos +3

Recent semantic segmentation models perform well under standard weather conditions and sufficient illumination but struggle with adverse weather conditions and nighttime. Collectin…

cs.CV2018

A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos

Michel Melo Silva, Washington Luis Souza Ramos, Joao Klock Ferreira +3

Thanks to the advances in the technology of low-cost digital cameras and the popularity of the self-recording culture, the amount of visual data on the Internet is going to the opp…