activity
20192024
most citedSolve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration

90 citations · 161 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2024★ 3 cited

Radiance Field Learners As UAV First-Person Viewers

Liqi Yan, Qifan Wang, Junhan Zhao +4

First-Person-View (FPV) holds immense potential for revolutionizing the trajectory of Unmanned Aerial Vehicles (UAVs), offering an exhilarating avenue for navigating complex buildi…

cs.CV2022★ 90 cited

Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration

Liqi Yan, Qifan Wang, Siqi Ma +2

Instance segmentation in videos, which aims to segment and track multiple objects in video frames, has garnered a flurry of research attention in recent years. In this paper, we pr…

cs.CV2022★ 55 cited

GL-RG: Global-Local Representation Granularity for Video Captioning

Liqi Yan, Qifan Wang, Yiming Cui +4

Video captioning is a challenging task as it needs to accurately transform visual understanding into natural language description. To date, state-of-the-art methods inadequately mo…

cs.CV2021★ 4 cited

TF-Blender: Temporal Feature Blender for Video Object Detection

Yiming Cui, Liqi Yan, Zhiwen Cao +1

Video objection detection is a challenging task because isolated video frames may encounter appearance deterioration, which introduces great confusion for detection. One of the pop…

cs.CV2021★ 1 cited

Hierarchical Attention Fusion for Geo-Localization

Liqi Yan, Yiming Cui, Yingjie Chen +1

Geo-localization is a critical task in computer vision. In this work, we cast the geo-localization as a 2D image retrieval task. Current state-of-the-art methods for 2D geo-localiz…

cs.CV2020★ 5 cited

DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregation

Dongfang Liu, Yiming Cui, Liqi Yan +3

In this work, we introduce a Denser Feature Network (DenserNet) for visual localization. Our work provides three principal contributions. First, we develop a convolutional neural n…

cs.CV2020★ 1 cited

Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning

Liqi Yan, Dongfang Liu, Yaoxian Song +1

Vision and voice are two vital keys for agents' interaction and learning. In this paper, we present a novel indoor navigation model called Memory Vision-Voice Indoor Navigation (MV…

cs.CV2019★ 2 cited

Crowd Video Captioning

Liqi Yan, Mingjian Zhu, Changbin Yu

Describing a video automatically with natural language is a challenging task in the area of computer vision. In most cases, the on-site situation of great events is reported in new…