152 citations · 335 across the 9 of their papers we have counts for
10 papers
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…
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…
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…
Generating Handwritten Chinese Characters using CycleGAN
Bo Chang, Qiong Zhang, Shenyi Pan +1
Handwriting of Chinese has long been an important skill in East Asia. However, automatic generation of handwritten Chinese characters poses a great challenge due to the large numbe…
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…
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…
Learning Motion Predictors for Smart Wheelchair using Autoregressive Sparse Gaussian Process
Zicong Fan, Lili Meng, Tian Qi Chen +2
Constructing a smart wheelchair on a commercially available powered wheelchair (PWC) platform avoids a host of seating, mechanical design and reliability issues but requires method…
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization
Lili Meng, Frederick Tung, James J. Little +2
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…
Multi-level Residual Networks from Dynamical Systems View
Bo Chang, Lili Meng, Eldad Haber +2
Deep residual networks (ResNets) and their variants are widely used in many computer vision applications and natural language processing tasks. However, the theoretical principles…
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…