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第一次实验

cfm

cfr_vqa

Coarse-to-Fine Reasoning for Visual Question Answering

cl-mr

cost

This is the official implementation of the Video Dialog as Conversation about Objects Living in Space-Time paper

d2-admin

An elegant dashboard

dialogved

Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"

dmrm

DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog

dragon

dstc8-avsd

We rank the 1st in DSTC8 Audio-Visual Scene-Aware Dialog competition. This is the source code for our IEEE/ACM TASLP (AAAI2020-DSTC8-AVSD) paper "Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog".

evalai-test

evalai-test

gitskills

hetcomp_www23

Distillation from Heterogeneous Models for Top-K Recommendation (WWW'23)

learngit

micro

mmrec

A Toolbox for MultiModal Recommendation. Integrating 10+ Models...

mmssl

[WWW'2023] Multi-Modal Self-Supervised Learning for Recommendation

multimodalrecsys

A curated list of awesome resources about multimodal recommender systems.

ovsegmentor

OVSegmentor, CVPR23

popper-core

🍿Positioning tooltips and popovers is difficult. Popper is here to help!

prophet

Implementation of CVPR 2023 paper "Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering".

sgr

code for "State Graph Reasoning for Multimodal Conversational Recommendation"

sticker-selection

Code for Paper "Selecting Stickers in Open-Domain Dialogue through Multitask Learning"

sttf

Spatio-Temporal Two-Stage Fusion

timesformer

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

unimm

Implementation for the paper "Unified Multimodal Model with Unlikelihood Training for Visual Dialog"

vd-pcr

Source code for paper "VD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution"

video-pretrained-transformer

Multi-model video-to-text by combining embeddings from Flan-T5 + CLIP + Whisper + SceneGraph. The 'backbone LLM' is pre-trained from scratch on YouTube (YT-1B dataset).

visdial-bert

Implementation for "Large-scale Pretraining for Visual Dialog" https://arxiv.org/abs/1912.02379

visualqa