activity
20172022
most citedFrame-wise Cross-modal Matching for Video Moment Retrieval

62 citations · 94 across the 6 of their papers we have counts for

collaborators

12 papers

cs.CV2022★ 1 cited

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…

cs.SD2021

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…

cs.LG2020★ 1 cited

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…

cs.CV2020★ 62 cited

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…

cs.CV2020

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…

cs.CV2020★ 30 cited

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…