activity
20172026
most citedPredicting Scene Parsing and Motion Dynamics in the Future

49 citations · 119 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

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…

cs.CV2023★ 30 cited

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…

cs.CV2018

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…

cs.CV2017★ 49 cited

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…

cs.CV2017★ 9 cited

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…

cs.CV2017★ 31 cited

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…