Lei Chen

Affiliations:
  • Simon Fraser University, Burnaby, Canada


According to our database1, Lei Chen authored at least 14 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Improving sequential latent variable models with autoregressive flows.
Mach. Learn., 2022

2021
Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning to Predict Convolutional Filters with Guidance for Conditional Image Generation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Adapting Grad-CAM for Embedding Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Object Grounding via Iterative Context Reasoning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Lifelong GAN: Continual Learning for Conditional Image Generation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Deep Learning of Appearance Models for Online Object Tracking.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Adaptive Appearance Rendering.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering.
CoRR, 2017

Attending to Distinctive Moments: Weakly-Supervised Attention Models for Action Localization in Video.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2015
Object detection in surveillance video from dense trajectories.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Deep Structured Models For Group Activity Recognition.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Learning Action Primitives for Multi-level Video Event Understanding.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014


  Loading...