M2Lens: Visualizing and Explaining Multimodal Models for Sentiment
Analysis

M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis

17 July 2021

Huamin Qu

Papers citing "M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis"

8 / 8 papers shown

Title
iGAiVA: Integrated Generative AI and Visual Analytics in a Machine Learning Workflow for Text Classification Yuanzhe Jin Adrian Carrasco-Revilla Min Chen VLM 29 1 0 24 Sep 2024
Dynamic Cross Attention for Audio-Visual Person Verification R Gnana Praveen Jahangir Alam 38 1 0 07 Mar 2024
HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data Zhihan Jiang Handi Chen Rui Zhou Jing Deng Xinchen Zhang Running Zhao Cong Xie Yifang Wang Edith C. H. Ngai 19 4 0 23 Jul 2023
Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion Isha Rawal Alexander Matyasko Shantanu Jaiswal Basura Fernando Cheston Tan 21 1 0 15 Jun 2023
Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language models Sixia Li S. Okada 32 3 0 07 May 2023
Anchorage: Visual Analysis of Satisfaction in Customer Service Videos via Anchor Events Kamkwai Wong Xingbo Wang Yong Wang Jianben He Rongzheng Zhang Huamin Qu 26 16 0 14 Feb 2023
ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization Zdravko Marinov Alina Roitberg David Schneider Rainer Stiefelhagen 22 4 0 19 Aug 2022
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset Zhihua Jin Xingbo Wang Furui Cheng Chunhui Sun Qun Liu Huamin Qu 32 9 0 17 Aug 2022