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20182022
most citedDeformable Object Tracking with Gated Fusion

37 citations · 51 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.CV2022

Monocular BEV Perception of Road Scenes via Front-to-Top View Projection

Wenxi Liu, Qi Li, Weixiang Yang +5

HD map reconstruction is crucial for autonomous driving. LiDAR-based methods are limited due to expensive sensors and time-consuming computation. Camera-based methods usually need…

cs.CV2021

Semi-Supervised Domain Generalization with Evolving Intermediate Domain

Luojun Lin, Han Xie, Zhishu Sun +4

Domain Generalization (DG) aims to generalize a model trained on multiple source domains to an unseen target domain. The source domains always require precise annotations, which ca…

cs.CV2021★ 2 cited

Ultra-high Resolution Image Segmentation via Locality-aware Context Fusion and Alternating Local Enhancement

Wenxi Liu, Qi Li, Xindai Lin +3

Ultra-high resolution image segmentation has raised increasing interests in recent years due to its realistic applications. In this paper, we innovate the widely used high-resoluti…

cs.CV2019★ 6 cited

Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery

Xiaosheng Yan, Yuanlong Yu, Feigege Wang +3

In this paper, we propose a novel iterative multi-task framework to complete the segmentation mask of an occluded vehicle and recover the appearance of its invisible parts. In part…

cs.CV2019★ 1 cited

Enhancement Mask for Hippocampus Detection and Segmentation

Dengsheng Chen, Wenxi Liu, You Huang +2

Detection and segmentation of the hippocampal structures in volumetric brain images is a challenging problem in the area of medical imaging. In this paper, we propose a two-stage 3…

cs.CV2018★ 37 cited

Deformable Object Tracking with Gated Fusion

Wenxi Liu, Yibing Song, Dengsheng Chen +5

The tracking-by-detection framework receives growing attentions through the integration with the Convolutional Neural Networks (CNNs). Existing tracking-by-detection based methods,…

cs.CV2018

An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance

Wenxi Liu, Yuanlong Yu, Chun-Yang Zhang +2

In recent years, crowd analysis is important for applications such as smart cities, intelligent transportation system, customer behavior prediction, and visual surveillance. Unders…