97 citations · 218 across the 12 of their papers we have counts for
13 papers
SpikeOcc: Towards Resilient Multimodal 3D Occupancy Perception via Spiking Experts
Yiding Sun, Zijie Xu, Hongqiang Lin +7
Multimodal 3D occupancy prediction underpins safe autonomous driving through comprehensive scene understanding. However, existing methods have largely pursued higher accuracy throu…
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation
Zutao Jiang, Guansong Lu, Xiaodan Liang +4
Text-guided 3D object generation aims to generate 3D objects described by user-defined captions, which paves a flexible way to visualize what we imagined. Although some works have…
Listen As You Wish: Audio based Event Detection via Text-to-Audio Grounding in Smart Cities
Haoyu Tang, Yunxiao Wang, Jihua Zhu +4
With the development of internet of things technologies, tremendous sensor audio data has been produced, which poses great challenges to audio-based event detection in smart cities…
Tensor-based Intrinsic Subspace Representation Learning for Multi-view Clustering
Qinghai Zheng, Yu Zhang, Jihua Zhu +3
As a hot research topic, many multi-view clustering approaches are proposed over the past few years. Nevertheless, most existing algorithms merely take the consensus information am…
Frame-wise Cross-modal Matching for Video Moment Retrieval
Haoyu Tang, Jihua Zhu, Meng Liu +2
Video moment retrieval targets at retrieving a moment in a video for a given language query. The challenges of this task include 1) the requirement of localizing the relevant momen…
Robust Motion Averaging under Maximum Correntropy Criterion
Jihua Zhu, Jie Hu, Huimin Lu +2
Recently, the motion averaging method has been introduced as an effective means to solve the multi-view registration problem. This method aims to recover global motions from a set…
Registration of multi-view point sets under the perspective of expectation-maximization
Jihua Zhu, Jing Zhang, Huimin Lu +1
Registration of multi-view point sets is a prerequisite for 3D model reconstruction. To solve this problem, most of previous approaches either partially explore available informati…
Visual Space Optimization for Zero-shot Learning
Xinsheng Wang, Shanmin Pang, Jihua Zhu +3
Zero-shot learning, which aims to recognize new categories that are not included in the training set, has gained popularity owing to its potential ability in the real-word applicat…
K-means clustering for efficient and robust registration of multi-view point sets
Zutao Jiang, Jihua Zhu, Georgios D. Evangelidis +3
Generally, there are three main factors that determine the practical usability of registration, i.e., accuracy, robustness, and efficiency. In real-time applications, efficiency an…
Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions
Congcong Jin, Jihua Zhu, Yaochen Li +3
Recently, the low rank and sparse (LRS) matrix decomposition has been introduced as an effective mean to solve the multi-view registration. It views each available relative motion…
Simultaneous merging multiple grid maps using the robust motion averaging
Zutao Jiang, Jihua Zhu, Yaochen Li +2
Mapping in the GPS-denied environment is an important and challenging task in the field of robotics. In the large environment, mapping can be significantly accelerated by multiple…
Effective scaling registration approach by imposing the emphasis on the scale factor
Minmin Xu, Siyu Xu, Jihua Zhu +3
This paper proposes an effective approach for the scaling registration of -D point sets. Different from the rigid transformation, the scaling registration can not be formulated…
Weighted Motion Averaging for the Registration of Multi-View Range Scans
Rui Guo, Jihua Zhu, Yaochen Li +3
Multi-view registration is a fundamental but challenging problem in 3D reconstruction and robot vision. Although the original motion averaging algorithm has been introduced as an e…