26 citations · 60 across the 4 of their papers we have counts for
4 papers
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition
Junyan Wang, Zhenhong Sun, Yichen Qian +5
3D convolution neural networks (CNNs) have been the prevailing option for video recognition. To capture the temporal information, 3D convolutions are computed along the sequences,…
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…
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…
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…