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](files/affinity/teaser_image.png)
[2] Local Spectral Graph Convolution for Point Set Feature Learning, ECCV 2018 [Paper] [Code].
![Framework demo](files/LocalSpecGCN/spec_point_net.png)
[3] Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition, BMVC 2017 BMVC 2017. [Paper] [Code]
[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](files/cvprw2016/demo2.png)
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.