Disentangle Your Dense Object Detector

2 code implementations • 7 Jul 2021 • Zehui Chen, Chenhongyi Yang, Qiaofei Li, Feng Zhao, Zheng-Jun Zha, Feng Wu

Extensive experiments on MS COCO benchmark show that our approach can lead to 2. 0 mAP, 2. 4 mAP and 2. 2 mAP absolute improvements on RetinaNet, FCOS, and ATSS baselines with negligible extra overhead.

Disentanglement Object +2

Towards Fine-grained Large Object Segmentation 1st Place Solution to 3D AI Challenge 2020 -- Instance Segmentation Track

1 code implementation • 10 Sep 2020 • Zehui Chen, Qiaofei Li, Feng Zhao

This technical report introduces our solutions of Team 'FineGrainedSeg' for Instance Segmentation track in 3D AI Challenge 2020.

Instance Segmentation Semantic Segmentation

1st Place Solutions of Waymo Open Dataset Challenge 2020 -- 2D Object Detection Track

1 code implementation • 4 Aug 2020 • Zehao Huang, Zehui Chen, Qiaofei Li, Hongkai Zhang, Naiyan Wang

In this technical report, we present our solutions of Waymo Open Dataset (WOD) Challenge 2020 - 2D Object Track.

Object object-detection +1

Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks

no code implementations • 19 Mar 2019 • Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu Zheng

In this paper, we formulate crowd flow forecasting in irregular regions as a spatio-temporal graph (STG) prediction problem in which each node represents a region with time-varying flows.