4 papers · 1 filter
Revisiting Scene Graph Generation from the Perspective of Detector-Conditioned Reachability
Runfeng Qu, Pia K Bideau, Ole Hall +3
Scene graph generation (SGG) approaches can be broadly classified into detector-based and query-based methods according to their underlying reasoning mechanisms. However, the discr…
Salience-SGG: Enhancing Unbiased Scene Graph Generation with Iterative Salience Estimation
Runfeng Qu, Ole Hall, Pia K Bideau +4
Scene Graph Generation (SGG) suffers from a long-tailed distribution, where a few predicate classes dominate while many others are underrepresented, leading to biased models that u…
How Do You Perceive My Face? Recognizing Facial Expressions in Multi-Modal Context by Modeling Mental Representations
Florian Blume, Runfeng Qu, Pia Bideau +3
Facial expression perception in humans inherently relies on prior knowledge and contextual cues, contributing to efficient and flexible processing. For instance, multi-modal emotio…
Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition
Marah Halawa, Florian Blume, Pia Bideau +3
Human communication is multi-modal; e.g., face-to-face interaction involves auditory signals (speech) and visual signals (face movements and hand gestures). Hence, it is essential…