activity
20172023
most citedTowards artificial general intelligence via a multimodal foundation model

285 citations · 493 across the 26 of their papers we have counts for

collaborators

26 papers

cs.CV2023

ViCo: Engaging Video Comment Generation with Human Preference Rewards

Yuchong Sun, Bei Liu, Xu Chen +2

Engaging video comments play an important role in video social media, as they are the carrier of feelings, thoughts, or humor of the audience. Preliminary works have made initial e…

cs.RO2023

Transferring Foundation Models for Generalizable Robotic Manipulation

Jiange Yang, Wenhui Tan, Chuhao Jin +6

Improving the generalization capabilities of general-purpose robotic manipulation agents in the real world has long been a significant challenge. Existing approaches often rely on…

cs.IR2023★ 5 cited

User Behavior Simulation with Large Language Model based Agents

Lei Wang, Jingsen Zhang, Hao Yang +11

Simulating high quality user behavior data has always been a fundamental problem in human-centered applications, where the major difficulty originates from the intricate mechanism…

cs.RO2023★ 9 cited

AlphaBlock: Embodied Finetuning for Vision-Language Reasoning in Robot Manipulation

Chuhao Jin, Wenhui Tan, Jiange Yang +4

We propose a novel framework for learning high-level cognitive capabilities in robot manipulation tasks, such as making a smiley face using building blocks. These tasks often invol…

cs.SD2023

ComedicSpeech: Text To Speech For Stand-up Comedies in Low-Resource Scenarios

Yuyue Wang, Huan Xiao, Yihan Wu +1

Text to Speech (TTS) models can generate natural and high-quality speech, but it is not expressive enough when synthesizing speech with dramatic expressiveness, such as stand-up co…

cs.MM2023★ 4 cited

Text2Poster: Laying out Stylized Texts on Retrieved Images

Chuhao Jin, Hongteng Xu, Ruihua Song +1

Poster generation is a significant task for a wide range of applications, which is often time-consuming and requires lots of manual editing and artistic experience. In this paper,…

cs.CL2023★ 9 cited

TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World

Hongpeng Lin, Ludan Ruan, Wenke Xia +8

To facilitate the research on intelligent and human-like chatbots with multi-modal context, we introduce a new video-based multi-modal dialogue dataset, called TikTalk. We collect…

cs.CV2023★ 1 cited

TeViS:Translating Text Synopses to Video Storyboards

Xu Gu, Yuchong Sun, Feiyue Ni +5

A video storyboard is a roadmap for video creation which consists of shot-by-shot images to visualize key plots in a text synopsis. Creating video storyboards, however, remains cha…

cs.CL2022

VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing

Yihan Wu, Junliang Guo, Xu Tan +7

Video dubbing aims to translate the original speech in a film or television program into the speech in a target language, which can be achieved with a cascaded system consisting of…

cs.CV2022★ 33 cited

Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning

Yuchong Sun, Hongwei Xue, Ruihua Song +3

Large-scale video-language pre-training has shown significant improvement in video-language understanding tasks. Previous studies of video-language pretraining mainly focus on shor…

cs.AI2022★ 3 cited

Multi-Modal Experience Inspired AI Creation

Qian Cao, Xu Chen, Ruihua Song +3

AI creation, such as poem or lyrics generation, has attracted increasing attention from both industry and academic communities, with many promising models proposed in the past few…

cs.SD2022

Self-supervised Context-aware Style Representation for Expressive Speech Synthesis

Yihan Wu, Xi Wang, Shaofei Zhang +3

Expressive speech synthesis, like audiobook synthesis, is still challenging for style representation learning and prediction. Deriving from reference audio or predicting style tags…

cs.LG2022

A Roadmap for Big Model

Sha Yuan, Hanyu Zhao, Shuai Zhao +97

With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm. Researchers have achieved various outcomes in the c…

eess.AS2022

AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios

Yihan Wu, Xu Tan, Bohan Li +5

Adaptive text to speech (TTS) can synthesize new voices in zero-shot scenarios efficiently, by using a well-trained source TTS model without adapting it on the speech data of new s…

cs.CV2021★ 3 cited

Class-aware Sounding Objects Localization via Audiovisual Correspondence

Di Hu, Yake Wei, Rui Qian +3

Audiovisual scenes are pervasive in our daily life. It is commonplace for humans to discriminatively localize different sounding objects but quite challenging for machines to achie…

cs.AI2021★ 285 cited

Towards artificial general intelligence via a multimodal foundation model

Nanyi Fei, Zhiwu Lu, Yizhao Gao +9

The fundamental goal of artificial intelligence (AI) is to mimic the core cognitive activities of human. Despite tremendous success in the AI research, most of existing methods hav…

cs.CL2021

Stylistic Retrieval-based Dialogue System with Unparallel Training Data

Hao Fu, Yan Wang, Ruihua Song +2

The ability of a dialog system to express consistent language style during conversations has a direct, positive impact on its usability and on user satisfaction. Although previous…

cs.AI2021★ 15 cited

Pre-Trained Models: Past, Present and Future

Xu Han, Zhengyan Zhang, Ning Ding +21

Large-scale pre-trained models (PTMs) such as BERT and GPT have recently achieved great success and become a milestone in the field of artificial intelligence (AI). Owing to sophis…

cs.CV2021★ 84 cited

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training

Yuqi Huo, Manli Zhang, Guangzhen Liu +32

Multi-modal pre-training models have been intensively explored to bridge vision and language in recent years. However, most of them explicitly model the cross-modal interaction bet…

cs.CL2020

ScriptWriter: Narrative-Guided Script Generation

Yutao Zhu, Ruihua Song, Zhicheng Dou +2

It is appealing to have a system that generates a story or scripts automatically from a story-line, even though this is still out of our reach. In dialogue systems, it would also b…

cs.CL2020★ 1 cited

"Love is as Complex as Math": Metaphor Generation System for Social Chatbot

Danning Zheng, Ruihua Song, Tianran Hu +2

As the wide adoption of intelligent chatbot in human daily life, user demands for such systems evolve from basic task-solving conversations to more casual and friend-like communica…

cs.LG2019★ 4 cited

Neural Storyboard Artist: Visualizing Stories with Coherent Image Sequences

Shizhe Chen, Bei Liu, Jianlong Fu +6

A storyboard is a sequence of images to illustrate a story containing multiple sentences, which has been a key process to create different story products. In this paper, we tackle…

cs.IR2019

From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories

Songwei Ge, Curtis Xuan, Ruihua Song +3

Sound effects play an essential role in producing high-quality radio stories but require enormous labor cost to add. In this paper, we address the problem of automatically adding s…

cs.AI2018★ 31 cited

Image Inspired Poetry Generation in XiaoIce

Wen-Feng Cheng, Chao-Chung Wu, Ruihua Song +3

Vision is a common source of inspiration for poetry. The objects and the sentimental imprints that one perceives from an image may lead to various feelings depending on the reader.…