Research

My research interest lies in Computer Vision, Machine Learning and Deep Learning. More specifically, I aim to develop novel deep models to solve 3D computer vision and graph representation learning problems.

Publications

[1] Affinity Graph Supervision for Visual Recognition, CVPR 2020 [Paper] [Slides].

      
Framework demo
   

[2] Local Spectral Graph Convolution for Point Set Feature Learning, ECCV 2018 [Paper] [Code].

      
Framework demo
   

[3] Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition, BMVC 2017 BMVC 2017. [Paper] [Code]

      
Framework demo
   

[4] Differential Geometry boosts Convolutional Neural Networks for Object Detection, CVPR 2016 workshop on Differential Geometry in Computer Vision and Machine Learning. [Paper] [Poster]

      
Framework demo
   

Previous Works

[1] B.S. Thesis : Impact of Mobility towards Asymptotic General Barrier Coverage with Heterogeneous Wireless Sensor Networks [Thesis]

During my undergraduate study at Shanghai Jiao Tong University, I worked on Wireless Networking theories under supervision of Professor Xinbing Wang.