4 citations · 10 across the 6 of their papers we have counts for
7 papers
Beyond 2D Matching: A Unified Single-Stage Framework for Geometry-Aware Cross-View Object Geo-Localization
Liyao Wang, Ruipu Wu, Haojun Xu +3
Cross-view object geo-localization (CVOGL) aims to locate a target object from a query view (e.g., ground or drone) within a geo-tagged reference image (e.g., satellite). Existing…
AeroDuo: Aerial Duo for UAV-based Vision and Language Navigation
Ruipu Wu, Yige Zhang, Jinyu Chen +5
Aerial Vision-and-Language Navigation (VLN) is an emerging task that enables Unmanned Aerial Vehicles (UAVs) to navigate outdoor environments using natural language instructions an…
High-Fidelity 3D Face Generation from Natural Language Descriptions
Menghua Wu, Hao Zhu, Linjia Huang +3
Synthesizing high-quality 3D face models from natural language descriptions is very valuable for many applications, including avatar creation, virtual reality, and telepresence. Ho…
Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels
Jingqiu Zhou, Linjiang Huang, Liang Wang +2
The task of weakly supervised temporal action localization targets at generating temporal boundaries for actions of interest, meanwhile the action category should also be classifie…
Teach-DETR: Better Training DETR with Teachers
Linjiang Huang, Kaixin Lu, Guanglu Song +4
In this paper, we present a novel training scheme, namely Teach-DETR, to learn better DETR-based detectors from versatile teacher detectors. We show that the predicted boxes from t…
Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation
Linjiang Huang, Liang Wang, Hongsheng Li
Weakly supervised temporal action localization aims to localize temporal boundaries of actions and simultaneously identify their categories with only video-level category labels. M…
Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization
Linjiang Huang, Liang Wang, Hongsheng Li
As a challenging task of high-level video understanding, weakly supervised temporal action localization has been attracting increasing attention. With only video annotations, most…