activity
20192022
most citedCentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

29 citations · 88 across the 8 of their papers we have counts for

collaborators

8 papers

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.CV2022★ 3 cited

HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors

Luting Wang, Xiaojie Li, Yue Liao +5

Conventional knowledge distillation (KD) methods for object detection mainly concentrate on homogeneous teacher-student detectors. However, the design of a lightweight detector for…

cs.CV2022★ 10 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.CV2022★ 3 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★ 3 cited

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★ 11 cited

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…