Scaling Object Detection by Transferring Classification Weights

Jason Kuen, Federico Perazzi, Zhe Lin, Jianming Zhang, Yap-Peng Tan

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan

Motion-Guided Cascaded Refinement Network for Video Object Segmentation

Ping Hu, Gang Wang, Xiangfei Kong, Jason Kuen, Yap-Peng Tan

Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification

Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex Kot, Gang Wang

DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows

Jason Kuen, Xiangfei Kong, Gang Wang, Yap-Peng Tan

Recurrent Attentional Networks for Saliency Detection

Jason Kuen, Zhenhua Wang, Gang Wang

Recent Advances in Convolutional Neural Networks

Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Li Wang, Gang Wang, Jianfei Cai, Tsuhan Chen

Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle

Jason Kuen, Kian Ming Lim, Chin Poo Lee

In the first ever formal programming course in my life (which was in my pre-undergraduate year), I single-handedly created WinRAP or Windows Running Applications Protector. It was the very first app for Windows users to "magically" make the desktop applications of choice disappear temporarily (while still running in the background) for privacy and security purposes. Of course, antivirus software had to flag it as malicious after it had become fairly popular.

In the distant past, I was fascinated with graphic design and the related software (e.g., Photoshop, Illustrator). As an amateur hobbyist, I used to design T-shirts, banners, and magazine covers to name a few, for the (educational, extracurricular, and online) communities I belonged to. Here are samples of my mediocre design works.