49 citations · 184 across the 8 of their papers we have counts for
9 papers
ScalLoc: Continuous Oblique Thermal UAV Geo-Localization with a 2D Satellite Map
Xiaoran Zhang, Yu Liu, Jinyu Liang +1
Cross-modal Thermal Geo-localization (TG) provides an illumination-robust positioning solution for Unmanned Aerial Vehicles (UAVs) in Global Navigation Satellite System (GNSS)-deni…
SCC-Loc: A Unified Semantic Cascade Consensus Framework for UAV Thermal Geo-Localization
Xiaoran Zhang, Yu Liu, Jinyu Liang +3
Cross-modal Thermal Geo-localization (TG) provides a robust, all-weather solution for Unmanned Aerial Vehicles (UAVs) in Global Navigation Satellite System (GNSS)-denied environmen…
Efficient Long-Short Temporal Attention Network for Unsupervised Video Object Segmentation
Ping Li, Yu Zhang, Li Yuan +3
Unsupervised Video Object Segmentation (VOS) aims at identifying the contours of primary foreground objects in videos without any prior knowledge. However, previous methods do not…
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation
Yunchao Wei, Huaxin Xiao, Honghui Shi +3
Despite the remarkable progress, weakly supervised segmentation approaches are still inferior to their fully supervised counterparts. We obverse the performance gap mainly comes fr…
Predicting Scene Parsing and Motion Dynamics in the Future
Xiaojie Jin, Huaxin Xiao, Xiaohui Shen +6
The ability of predicting the future is important for intelligent systems, e.g. autonomous vehicles and robots to plan early and make decisions accordingly. Future scene parsing an…
Transferable Semi-supervised Semantic Segmentation
Huaxin Xiao, Yunchao Wei, Yu Liu +2
The performance of deep learning based semantic segmentation models heavily depends on sufficient data with careful annotations. However, even the largest public datasets only prov…
Self-explanatory Deep Salient Object Detection
Huaxin Xiao, Jiashi Feng, Yunchao Wei +1
Salient object detection has seen remarkable progress driven by deep learning techniques. However, most of deep learning based salient object detection methods are black-box in nat…
Dual Path Networks
Yunpeng Chen, Jianan Li, Huaxin Xiao +3
In this work, we present a simple, highly efficient and modularized Dual Path Network (DPN) for image classification which presents a new topology of connection paths internally. B…
Video Scene Parsing with Predictive Feature Learning
Xiaojie Jin, Xin Li, Huaxin Xiao +9
In this work, we address the challenging video scene parsing problem by developing effective representation learning methods given limited parsing annotations. In particular, we co…