9 citations · 24 across the 6 of their papers we have counts for
11 papers · 1 filter
Mind the Gap in Distilling StyleGANs
Guodong Xu, Yuenan Hou, Ziwei Liu +1
StyleGAN family is one of the most popular Generative Adversarial Networks (GANs) for unconditional generation. Despite its impressive performance, its high demand on storage and c…
Towards Evaluating and Training Verifiably Robust Neural Networks
Zhaoyang Lyu, Minghao Guo, Tong Wu +3
Recent works have shown that interval bound propagation (IBP) can be used to train verifiably robust neural networks. Reseachers observe an intriguing phenomenon on these IBP train…
X-view: Non-egocentric Multi-View 3D Object Detector
Liang Xie, Guodong Xu, Deng Cai +1
3D object detection algorithms for autonomous driving reason about 3D obstacles either from 3D birds-eye view or perspective view or both. Recent works attempt to improve the detec…
Suppress-and-Refine Framework for End-to-End 3D Object Detection
Zili Liu, Guodong Xu, Honghui Yang +5
3D object detector based on Hough voting achieves great success and derives many follow-up works. Despite constantly refreshing the detection accuracy, these works suffer from hand…
Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup
Guodong Xu, Ziwei Liu, Chen Change Loy
Knowledge distillation, which involves extracting the "dark knowledge" from a teacher network to guide the learning of a student network, has emerged as an essential technique for…
Knowledge Distillation Meets Self-Supervision
Guodong Xu, Ziwei Liu, Xiaoxiao Li +1
Knowledge distillation, which involves extracting the "dark knowledge" from a teacher network to guide the learning of a student network, has emerged as an important technique for…