activity
20182021
most citedPI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module

9 citations · 24 across the 4 of their papers we have counts for

collaborators

11 papers

cs.CV2021

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV20206 cited

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…

cs.CV20202 cited

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…

cs.CV20207 cited

A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

Anyi Rao, Linning Xu, Yu Xiong +4

Scene, as the crucial unit of storytelling in movies, contains complex activities of actors and their interactions in a physical environment. Identifying the composition of scenes…