activity
20172019
most citedReversible Architectures for Arbitrarily Deep Residual Neural Networks

72 citations · 98 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG20193 cited

Continuous Graph Flow

Zhiwei Deng, Megha Nawhal, Lili Meng +1

In this paper, we propose Continuous Graph Flow, a generative continuous flow based method that aims to model complex distributions of graph-structured data. Once learned, the mode…

cs.CV2018

Image Generation from Layout

Bo Zhao, Lili Meng, Weidong Yin +1

Despite significant recent progress on generative models, controlled generation of images depicting multiple and complex object layouts is still a difficult problem. Among the core…

cs.CV2018

Interpretable Spatio-temporal Attention for Video Action Recognition

Lili Meng, Bo Zhao, Bo Chang +4

Inspired by the observation that humans are able to process videos efficiently by only paying attention where and when it is needed, we propose an interpretable and easy plug-in sp…

cs.RO20179 cited

Autonomous Mobile Robot Navigation in Uneven and Unstructured Indoor Environments

Chaoqun Wang, Lili Meng, Sizhen She +6

Robots are increasingly operating in indoor environments designed for and shared with people. However, robots working safely and autonomously in uneven and unstructured environment…

cs.CV201714 cited

Backtracking Regression Forests for Accurate Camera Relocalization

Lili Meng, Jianhui Chen, Frederick Tung +3

Camera relocalization plays a vital role in many robotics and computer vision tasks, such as global localization, recovery from tracking failure, and loop closure detection. Recent…

cs.CV201772 cited

Reversible Architectures for Arbitrarily Deep Residual Neural Networks

Bo Chang, Lili Meng, Eldad Haber +3

Recently, deep residual networks have been successfully applied in many computer vision and natural language processing tasks, pushing the state-of-the-art performance with deeper…