activity
20162019
most citedMMDetection: Open MMLab Detection Toolbox and Benchmark

794 citations · 1.3k across the 14 of their papers we have counts for

collaborators

17 papers

cs.CV201912 cited

Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments

Kai Niu, Yan Huang, Wanli Ouyang +1

Description-based person re-identification (Re-id) is an important task in video surveillance that requires discriminative cross-modal representations to distinguish different peop…

cs.CV2019794 cited

MMDetection: Open MMLab Detection Toolbox and Benchmark

Kai Chen, Jiaqi Wang, Jiangmiao Pang +22

We present MMDetection, an object detection toolbox that contains a rich set of object detection and instance segmentation methods as well as related components and modules. The to…

cs.LG2019

Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction

Lingbo Liu, Zhilin Qiu, Guanbin Li +3

Taxi demand prediction has recently attracted increasing research interest due to its huge potential application in large-scale intelligent transportation systems. However, most of…

cs.CV201915 cited

Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation

Chunfeng Song, Yan Huang, Wanli Ouyang +1

Semantic segmentation has achieved huge progress via adopting deep Fully Convolutional Networks (FCN). However, the performance of FCN based models severely rely on the amounts of…

cs.CV2018103 cited

Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction

Dan Xu, Wanli Ouyang, Xavier Alameda-Pineda +3

Recent works have shown that exploiting multi-scale representations deeply learned via convolutional neural networks (CNN) is of tremendous importance for accurate contour detectio…

cs.CV201728 cited

Visual Question Generation as Dual Task of Visual Question Answering

Yikang Li, Nan Duan, Bolei Zhou +3

Recently visual question answering (VQA) and visual question generation (VQG) are two trending topics in the computer vision, which have been explored separately. In this work, we…