[Reproduce] Code for the ACL2019 paper "Multimodal Transformer for Unaligned Multimodal Language Sequences".
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Updated
Dec 13, 2019 - Python
[Reproduce] Code for the ACL2019 paper "Multimodal Transformer for Unaligned Multimodal Language Sequences".
A generalized self-supervised training paradigm for unimodal and multimodal alignment and fusion.
Multimodal alignment of images and point clouds on the Modelnet-40-C dataset
Using a 3D Nearby Self-Attention Transformer to leverage the spatiotemporal nature of video for representation learning.
Official implementation of "Diffusion-Inspired Truncated Sampler for Text-Video Retrieval (NeurIPS 2024)"
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