activity
20202023
most citedDeep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes

254 citations · 316 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 2 cited

Minimalist and High-Performance Semantic Segmentation with Plain Vision Transformers

Yuanduo Hong, Jue Wang, Weichao Sun +1

In the wake of Masked Image Modeling (MIM), a diverse range of plain, non-hierarchical Vision Transformer (ViT) models have been pre-trained with extensive datasets, offering new p…

cs.CV2022★ 3 cited

Representation Separation for Semantic Segmentation with Vision Transformers

Yuanduo Hong, Huihui Pan, Weichao Sun +2

Vision transformers (ViTs) encoding an image as a sequence of patches bring new paradigms for semantic segmentation.We present an efficient framework of representation separation i…

cs.CV2021★ 254 cited

Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes

Yuanduo Hong, Huihui Pan, Weichao Sun +1

Semantic segmentation is a key technology for autonomous vehicles to understand the surrounding scenes. The appealing performances of contemporary models usually come at the expens…

cs.CV2020★ 21 cited

A CRF-based Framework for Tracklet Inactivation in Online Multi-Object Tracking

Tianze Gao, Huihui Pan, Zidong Wang +1

Online multi-object tracking (MOT) is an active research topic in the domain of computer vision. Although many previously proposed algorithms have exhibited decent results, the iss…

cs.CV2020★ 36 cited

Monocular 3D Object Detection with Sequential Feature Association and Depth Hint Augmentation

Tianze Gao, Huihui Pan, Huijun Gao

Monocular 3D object detection, with the aim of predicting the geometric properties of on-road objects, is a promising research topic for the intelligent perception systems of auton…