activity
20152019
most citedTransferrable Prototypical Networks for Unsupervised Domain Adaptation

50 citations · 137 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV20192 cited

vireoJD-MM at Activity Detection in Extended Videos

Fuchen Long, Qi Cai, Zhaofan Qiu +4

This notebook paper presents an overview and comparative analysis of our system designed for activity detection in extended videos (ActEV-PC) in ActivityNet Challenge 2019. Specifi…

cs.CV20198 cited

Trimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Localization with Focus on ActivityNet Challenge 2019

Zhaofan Qiu, Dong Li, Yehao Li +3

This notebook paper presents an overview and comparative analysis of our systems designed for the following three tasks in ActivityNet Challenge 2019: trimmed action recognition, d…

cs.CV201912 cited

Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning

Jingwen Chen, Yingwei Pan, Yehao Li +3

It is well believed that video captioning is a fundamental but challenging task in both computer vision and artificial intelligence fields. The prevalent approach is to map an inpu…

cs.CV20193 cited

Pointing Novel Objects in Image Captioning

Yehao Li, Ting Yao, Yingwei Pan +2

Image captioning has received significant attention with remarkable improvements in recent advances. Nevertheless, images in the wild encapsulate rich knowledge and cannot be suffi…

cs.CV201950 cited

Transferrable Prototypical Networks for Unsupervised Domain Adaptation

Yingwei Pan, Ting Yao, Yehao Li +3

In this paper, we introduce a new idea for unsupervised domain adaptation via a remold of Prototypical Networks, which learn an embedding space and perform classification via a rem…

cs.CV201733 cited

Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects

Ting Yao, Yingwei Pan, Yehao Li +1

Image captioning often requires a large set of training image-sentence pairs. In practice, however, acquiring sufficient training pairs is always expensive, making the recent capti…