31 citations · 77 across the 5 of their papers we have counts for
4 papers · 1 filter
Towards Visually Explaining Variational Autoencoders
Wenqian Liu, Runze Li, Meng Zheng +5
Recent advances in Convolutional Neural Network (CNN) model interpretability have led to impressive progress in visualizing and understanding model predictions. In particular, grad…
SparseNet: A Sparse DenseNet for Image Classification
Wenqi Liu, Kun Zeng
Deep neural networks have made remarkable progresses on various computer vision tasks. Recent works have shown that depth, width and shortcut connections of networks are all vital…
DYAN: A Dynamical Atoms-Based Network for Video Prediction
Wenqian Liu, Abhishek Sharma, Octavia Camps +1
The ability to anticipate the future is essential when making real time critical decisions, provides valuable information to understand dynamic natural scenes, and can help unsuper…
Multi-camera Multi-Object Tracking
Wenqian Liu, Octavia Camps, Mario Sznaier
In this paper, we propose a pipeline for multi-target visual tracking under multi-camera system. For multi-camera system tracking problem, efficient data association across cameras…