Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild

16 May 2021

Papers citing "Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild"

6 / 6 papers shown

Title
A Heterogeneous Multimodal Graph Learning Framework for Recognizing User Emotions in Social Networks Sree Bhattacharyya Shuhua Yang James Z. Wang 38 0 0 13 Jan 2025
Explainable Emotion Decoding for Human and Computer Vision Alessio Borriero Martina Milazzo M. Diano Davide Orsenigo Maria Chiara Villa Chiara Di Fazio Marco Tamietto Alan Perotti 28 0 0 01 Aug 2024
Bodily expressed emotion understanding through integrating Laban movement analysis Chenyan Wu Dolzodmaa Davaasuren T. Shafir Rachelle Tsachor James Z. Wang 30 6 0 05 Apr 2023
Contextually-rich human affect perception using multimodal scene information Digbalay Bose Rajat Hebbar Krishna Somandepalli Shrikanth Narayanan 27 3 0 13 Mar 2023
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional Approach HaiLong Gong Zirui Li Chao Lu Guodong Du Jianwei Gong 33 0 0 18 Nov 2022
ARBEE: Towards Automated Recognition of Bodily Expression of Emotion In the Wild Yu Luo Jianbo Ye Reginald B. Adams Jia Li M. Newman J. Z. Wang 48 86 0 28 Aug 2018