Search Results for author: Benjamin Bejar

Found 2 papers, 0 papers with code

Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation

no code implementations4 Apr 2024 Elham Amin Mansour, Ozan Unal, Suman Saha, Benjamin Bejar, Luc van Gool

A key challenge in panoptic UDA is reducing the domain gap between a labeled source and an unlabeled target domain while harmonizing the subtasks of semantic and instance segmentation to limit catastrophic interference.

Autonomous Driving Instance Segmentation +3

Semantic-aware Video Representation for Few-shot Action Recognition

no code implementations10 Nov 2023 Yutao Tang, Benjamin Bejar, Rene Vidal

In this work, we propose a simple yet effective Semantic-Aware Few-Shot Action Recognition (SAFSAR) model to address these issues.

Few-Shot action recognition Few Shot Action Recognition

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