Recent Advances and Trends in Multimodal Deep Learning: A Review

Recent Advances and Trends in Multimodal Deep Learning: A Review

24 May 2021

Jabeen Summaira

Xi Li

Amin Muhammad Shoib

Papers citing "Recent Advances and Trends in Multimodal Deep Learning: A Review"

8 / 8 papers shown

Title
Embodied Intelligence: The Key to Unblocking Generalized Artificial Intelligence Jinhao Jiang Changlin Chen Shile Feng Wanru Geng Zesheng Zhou Ni Wang Shuai Li Feng-Qi Cui Erbao Dong AI4CE 31 0 0 11 May 2025
SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model Tao Wu Xuewei Li Zhongang Qi Di Hu Xintao Wang Ying Shan Xi Li 38 5 0 15 Mar 2024
HeightFormer: Explicit Height Modeling without Extra Data for Camera-only 3D Object Detection in Bird's Eye View Yiming Wu Rui Li Zequn Qin Xinhai Zhao Xi Li 39 11 0 25 Jul 2023
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System Jiwei Guan Lei Pan Chen Wang Shui Yu Longxiang Gao Xi Zheng AAML 19 3 0 30 May 2023
Efficient Multimodal Neural Networks for Trigger-less Voice Assistants Sai Srujana Buddi U. Sarawgi Tashweena Heeramun Karan Sawnhey Ed Yanosik Saravana Rathinam Saurabh N. Adya 25 5 0 20 May 2023
Multimodal Image Synthesis and Editing: The Generative AI Era Fangneng Zhan Yingchen Yu Rongliang Wu Jiahui Zhang Shijian Lu Lingjie Liu Adam Kortylewski Christian Theobalt Eric Xing EGVM 29 48 0 27 Dec 2021
RSVQA: Visual Question Answering for Remote Sensing Data Sylvain Lobry Diego Marcos J. Murray D. Tuia 72 205 0 16 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016