2 citations · 2 across the 3 of their papers we have counts for
4 papers
SENSE: Stereo OpEN Vocabulary SEmantic Segmentation
Thomas Campagnolo, Ezio Malis, Philippe Martinet +1
Open-vocabulary semantic segmentation enables models to segment objects or image regions beyond fixed class sets, offering flexibility in dynamic environments. However, existing me…
PhraseStereo: The First Open-Vocabulary Stereo Image Segmentation Dataset
Thomas Campagnolo, Ezio Malis, Philippe Martinet +1
Understanding how natural language phrases correspond to specific regions in images is a key challenge in multimodal semantic segmentation. Recent advances in phrase grounding are…
Road Extraction from Overhead Images with Graph Neural Networks
Gaetan Bahl, Mehdi Bahri, Florent Lafarge
Automatic road graph extraction from aerial and satellite images is a long-standing challenge. Existing algorithms are either based on pixel-level segmentation followed by vectoriz…
Binary Graph Neural Networks
Mehdi Bahri, Gaétan Bahl, Stefanos Zafeiriou
Graph Neural Networks (GNNs) have emerged as a powerful and flexible framework for representation learning on irregular data. As they generalize the operations of classical CNNs on…