Transformer-based multimodal emotional perception for dynamic facial expression recognition in the wild
X Zhang, M Li, S Lin, H Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dynamic expression recognition in the wild is a challenging task due to various obstacles,
including low light condition, non-positive face, and face occlusion. Purely vision-based …
including low light condition, non-positive face, and face occlusion. Purely vision-based …
Unveiling Hallucination in Text, Image, Video, and Audio Foundation Models: A Comprehensive Survey
The rapid advancement of foundation models (FMs) across language, image, audio, and
video domains has shown remarkable capabilities in diverse tasks. However, the …
video domains has shown remarkable capabilities in diverse tasks. However, the …
Hierarchical Multi-modal Attention Network for Time-sync Comment Video Recommendation
Due to inherent interactivity, time-sync comment of videos have attracted increasing
attention and were widely adopted in online video platforms. In addition to enhancing user …
attention and were widely adopted in online video platforms. In addition to enhancing user …
Key role guided transformer for group activity recognition
Group Activity Recognition (GAR) is a challenging task, where modeling spatio-temporal
relationships among participants plays a fundamental role. To address this issue, we …
relationships among participants plays a fundamental role. To address this issue, we …
Transformer-based relational inference network for complex visual relational reasoning
Visual Relational Reasoning is the basis of many vision-and-language based tasks (eg,
visual question answering and referring expression comprehension). In this article, we …
visual question answering and referring expression comprehension). In this article, we …
PLGNet: Prior-guided Local and Global Interactive Hybrid Network for Face Super-Resolution
Recent CNN-driven face super-resolution (FSR) technologies have achieved excellent
breakthroughs by incorporating facial prior knowledge. However, most of them suffer from …
breakthroughs by incorporating facial prior knowledge. However, most of them suffer from …
Audio-Infused Automatic Image Colorization by Exploiting Audio Scene Semantics
Automatic image colorization is inherently an ill-posed problem with uncertainty, which
requires an accurate semantic understanding of scenes to estimate reasonable colors for …
requires an accurate semantic understanding of scenes to estimate reasonable colors for …