activity
20202026
most citedCaption Anything: Interactive Image Description with Diverse Multimodal Controls

19 citations · 52 across the 18 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.CV2022

Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence Reward

Yolo Yunlong Tang, Siting Xu, Teng Wang +3

Advertisement video editing aims to automatically edit advertising videos into shorter videos while retaining coherent content and crucial information conveyed by advertisers. It m…

cs.CV2022

Exploiting Context Information for Generic Event Boundary Captioning

Jinrui Zhang, Teng Wang, Feng Zheng +2

Generic Event Boundary Captioning (GEBC) aims to generate three sentences describing the status change for a given time boundary. Previous methods only process the information of a…

cs.CV2022★ 12 cited

VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix

Teng Wang, Wenhao Jiang, Zhichao Lu +4

Existing vision-language pre-training (VLP) methods primarily rely on paired image-text datasets, which are either annotated by enormous human labors, or crawled from the internet…

cs.CV2022★ 2 cited

Semantic-Aware Pretraining for Dense Video Captioning

Teng Wang, Zhu Liu, Feng Zheng +3

This report describes the details of our approach for the event dense-captioning task in ActivityNet Challenge 2021. We present a semantic-aware pretraining method for dense video…

cs.CL2022★ 1 cited

Auto-ABSA: Cross-Domain Aspect Detection and Sentiment Analysis Using Auxiliary Sentences

Teng Wang, Bolun Sun, Yijie Tong

After transformer is proposed, lots of pre-trained language models have been come up with and sentiment analysis (SA) task has been improved. In this paper, we proposed a method th…