activity
20182025
most citedReconstruction Network for Video Captioning

40 citations · 73 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025★ 1 cited

UniViTAR: Unified Vision Transformer with Native Resolution

Limeng Qiao, Yiyang Gan, Bairui Wang +4

Conventional Vision Transformer simplifies visual modeling by standardizing input resolutions, often disregarding the variability of natural visual data and compromising spatial-co…

cs.CV2023

E2E-LOAD: End-to-End Long-form Online Action Detection

Shuqiang Cao, Weixin Luo, Bairui Wang +2

Recently, there has been a growing trend toward feature-based approaches for Online Action Detection (OAD). However, these approaches have limitations due to their fixed backbone d…

cs.CV2022★ 2 cited

A Circular Window-based Cascade Transformer for Online Action Detection

Shuqiang Cao, Weixin Luo, Bairui Wang +2

Online action detection aims at the accurate action prediction of the current frame based on long historical observations. Meanwhile, it demands real-time inference on online strea…

cs.CV2019★ 23 cited

Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network

Bairui Wang, Lin Ma, Wei Zhang +3

In this paper, we propose to guide the video caption generation with Part-of-Speech (POS) information, based on a gated fusion of multiple representations of input videos. We const…

cs.CV2019★ 5 cited

Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning

Wei Zhang, Bairui Wang, Lin Ma +1

In this paper, the problem of describing visual contents of a video sequence with natural language is addressed. Unlike previous video captioning work mainly exploiting the cues of…

cs.CV2019★ 2 cited

Hierarchical Photo-Scene Encoder for Album Storytelling

Bairui Wang, Lin Ma, Wei Zhang +2

In this paper, we propose a novel model with a hierarchical photo-scene encoder and a reconstructor for the task of album storytelling. The photo-scene encoder contains two sub-enc…

cs.CV2018★ 40 cited

Reconstruction Network for Video Captioning

Bairui Wang, Lin Ma, Wei Zhang +1

In this paper, the problem of describing visual contents of a video sequence with natural language is addressed. Unlike previous video captioning work mainly exploiting the cues of…