SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network

no code implementations • ECCV 2018 • Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem

In the MTGAN, the generator is a super-resolution network, which can up-sample small blurred images into fine-scale ones and recover detailed information for more accurate detection.

Generative Adversarial Network Object +4

W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection

no code implementations • CVPR 2018 • Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem

Finally, we use these pseudo ground-truths to train a fully-supervised detector.

Multiple Instance Learning object-detection +1

Finding Tiny Faces in the Wild With Generative Adversarial Network

no code implementations • CVPR 2018 • Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem

In this paper, we proposed an algorithm to directly generate a clear high-resolution face from a blurry small one by adopting a generative adversarial network (GAN).

Face Detection Generative Adversarial Network

Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection

no code implementations • 28 Jan 2018 • Yancheng Bai, Huijuan Xu, Kate Saenko, Bernard Ghanem

In this paper, we propose the contextual multi-scale region convolutional 3D network (CMS-RC3D) for activity detection.

Action Detection Activity Detection

Multi-Branch Fully Convolutional Network for Face Detection

no code implementations • 20 Jul 2017 • Yancheng Bai, Bernard Ghanem

We test our MB-FCN detector on two public face detection benchmarks, including FDDB and WIDER FACE.

Face Detection