Hi! I'm a Ph.D. student at Stanford Computer Science. Before that, I did my Masters in Electrical Engineering here at Stanford as well, where I was fortunate to have worked with Dr. Juan Carlos Niebles and Prof. Fei-Fei Li on video understanding. Even before, I obtained my B.E. degree from South China University of Technology.
Spatio-Temporal Graph for Video Captioning with Knowledge Distillation
Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles
Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
A Novel LSTM-Based Daily Airline Demand Forecasting Method Using Vertical And Horizontal Time Series
Boxiao Pan, Dongfeng Yuan, Weiwei Sun, Cong Liang, Dongyang Li
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) Workshop, 2018.
AI4ALL: During Summer 2019, I was a research mentor for the Computer Vision team at Stanford AI4ALL, along with Andrew Kondrich. We spent three amazing weeks with eight talented high-school girls working together on a project, which applied Computer Vision techniques on Global Poverty Discovery. Aside from the project, we also designed course materials, assignments and gave lectures.
Graduate Teaching Assistant: At Stanford, I've been serving as a TA for CS231n: Convolutional Neural Networks for Visual Recognition (Spring 2020 & 2019) and CS131: Computer Vision: Foundations and Applications (Fall 2019).
Self-supervised Motion Retargeting with Single Frame
CS448v: Computational Video Manipulation
with Karttikeya Mangalam.
Tackling Occlusion in Person Re-identification
CS230: Deep Learning
with Soutik Chakraborty and Pragya Mishra.
Question Answering on SQuAD2.0
CS224n: Natural Language Processing with Deep Learning
with Gael Colas and Shervine Amidi.
Predicting NYC Taxi Fares, Trip Distance, and Activity
CS229: Machine Learning
with Paul Jolly and Varun Nambiar.
Lollipop: Mobile App for South China University of Technology
with 100steps Student Association.