activity
20142026
most citedHow much real data do we actually need: Analyzing object detection performance using synthetic and real data

67 citations · 111 across the 14 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cs.CV2024

Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity

Wassim El Ahmar, Dhanvin Kolhatkar, Farzan Nowruzi +1

Multiple Object Tracking (MOT) in thermal imaging presents unique challenges due to the lack of visual features and the complexity of motion patterns. This paper introduces an inno…

cs.CV2024★ 1 cited

FSMDet: Vision-guided feature diffusion for fully sparse 3D detector

Tianran Liu, Morteza Mousa Pasandi, Robert Laganiere

Fully sparse 3D detection has attracted an increasing interest in the recent years. However, the sparsity of the features in these frameworks challenges the generation of proposals…