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20232026
most citedWorld-Grounded Human Motion Recovery via Gravity-View Coordinates

33 citations · 45 across the 19 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CV2024★ 1 cited

ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset

Olaf Wysocki, Yue Tan, Thomas Froech +5

Facade semantic segmentation is a long-standing challenge in photogrammetry and computer vision. Although the last decades have witnessed the influx of facade segmentation methods,…

cs.CV2024★ 3 cited

UniLoc: Towards Universal Place Recognition Using Any Single Modality

Yan Xia, Zhendong Li, Yun-Jin Li +4

To date, most place recognition methods focus on single-modality retrieval. While they perform well in specific environments, cross-modal methods offer greater flexibility by allow…

cs.CV2024

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes

Yan Xia, Yunxiang Lu, Rui Song +3

We tackle the problem of localizing traffic cameras within a 3D reference map and propose a novel image-to-point cloud registration (I2P) method, TrafficLoc, in a coarse-tofine mat…

cs.CV2024

TRASE: Tracking-free 4D Segmentation and Editing

Yun-Jin Li, Mariia Gladkova, Yan Xia +1

Understanding dynamic 3D scenes is crucial for extended reality (XR) and autonomous driving. Incorporating semantic information into 3D reconstruction enables holistic scene repres…

cs.CV2024★ 33 cited

World-Grounded Human Motion Recovery via Gravity-View Coordinates

Zehong Shen, Huaijin Pi, Yan Xia +6

We present a novel method for recovering world-grounded human motion from monocular video. The main challenge lies in the ambiguity of defining the world coordinate system, which v…

cs.RO2024★ 1 cited

TARGO: Benchmarking Target-driven Object Grasping under Occlusions

Yan Xia, Ran Ding, Ziyuan Qin +5

Recent advances in predicting 6D grasp poses from a single depth image have led to promising performance in robotic grasping. However, previous grasping models face challenges in c…

cs.CV2024

Localizing Events in Videos with Multimodal Queries

Gengyuan Zhang, Mang Ling Ada Fok, Jialu Ma +5

Localizing events in videos based on semantic queries is a pivotal task in video understanding, with the growing significance of user-oriented applications like video search. Yet,…

cs.CV2024★ 4 cited

VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition

Yun-Jin Li, Mariia Gladkova, Yan Xia +2

Cross-modal place recognition methods are flexible GPS-alternatives under varying environment conditions and sensor setups. However, this task is non-trivial since extracting consi…