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20192022
most citedA Keypoint-based Global Association Network for Lane Detection

10 citations · 13 across the 3 of their papers we have counts for

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7 papers · 1 filter

cs.CV2022

Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline

Yuanbin Wang, Leyan Zhu, Shaofei Huang +4

As one of the fundamental functions of autonomous driving system, freespace detection aims at classifying each pixel of the image captured by the camera as drivable or non-drivable…

cs.CV202210 cited

A Keypoint-based Global Association Network for Lane Detection

Jinsheng Wang, Yinchao Ma, Shaofei Huang +4

Lane detection is a challenging task that requires predicting complex topology shapes of lane lines and distinguishing different types of lanes simultaneously. Earlier works follow…

cs.CV20223 cited

TR-MOT: Multi-Object Tracking by Reference

Mingfei Chen, Yue Liao, Si Liu +2

Multi-object Tracking (MOT) generally can be split into two sub-tasks, i.e., detection and association. Many previous methods follow the tracking by detection paradigm, which first…

cs.CV2021

Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation

Tianrui Hui, Shaofei Huang, Si Liu +5

Language-queried video actor segmentation aims to predict the pixel-level mask of the actor which performs the actions described by a natural language query in the target frames. E…

cs.CV2021

Reformulating HOI Detection as Adaptive Set Prediction

Mingfei Chen, Yue Liao, Si Liu +3

Determining which image regions to concentrate on is critical for Human-Object Interaction (HOI) detection. Conventional HOI detectors focus on either detected human and object pai…

cs.CV2020

CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

Zhiwei Dong, Guoxuan Li, Yue Liao +3

Keypoint-based detectors have achieved pretty-well performance. However, incorrect keypoint matching is still widespread and greatly affects the performance of the detector. In thi…