activity
20172022
most citedDiscriminative Latent Semantic Graph for Video Captioning

26 citations · 54 across the 5 of their papers we have counts for

collaborators

7 papers

cs.LG2022

Knowing the Past to Predict the Future: Reinforcement Virtual Learning

Peng Zhang, Yawen Huang, Bingzhang Hu +5

Reinforcement Learning (RL)-based control system has received considerable attention in recent decades. However, in many real-world problems, such as Batch Process Control, the env…

cs.CV202126 cited

Discriminative Latent Semantic Graph for Video Captioning

Yang Bai, Junyan Wang, Yang Long +4

Video captioning aims to automatically generate natural language sentences that can describe the visual contents of a given video. Existing generative models like encoder-decoder f…

cs.CV202021 cited

Query Twice: Dual Mixture Attention Meta Learning for Video Summarization

Junyan Wang, Yang Bai, Yang Long +4

Video summarization aims to select representative frames to retain high-level information, which is usually solved by predicting the segment-wise importance score via a softmax fun…

cs.CV2019

Dual-reference Age Synthesis

Yuan Zhou, Bingzhang Hu, and Jun He +2

Age synthesis methods typically take a single image as input and use a specific number to control the age of the generated image. In this paper, we propose a novel framework taking…

cs.CV20197 cited

Order Matters: Shuffling Sequence Generation for Video Prediction

Junyan Wang, Bingzhang Hu, Yang Long +1

Predicting future frames in natural video sequences is a new challenge that is receiving increasing attention in the computer vision community. However, existing models suffer from…

cs.CV2018

Robust Cross-View Gait Recognition with Evidence: A Discriminant Gait GAN (DiGGAN) Approach

BingZhang Hu, Yu Guan, Yan Gao +3

Gait as a biometric trait has attracted much attention in many security and privacy applications such as identity recognition and authentication, during the last few decades. Becau…