activity
20212023
most citedGEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection

9 citations · 27 across the 10 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 5 cited

Masked Contrastive Pre-Training for Efficient Video-Text Retrieval

Fangxun Shu, Biaolong Chen, Yue Liao +6

We present a simple yet effective end-to-end Video-language Pre-training (VidLP) framework, Masked Contrastive Video-language Pretraining (MAC), for video-text retrieval tasks. Our…

cs.CV2022★ 1 cited

Video Background Music Generation: Dataset, Method and Evaluation

Le Zhuo, Zhaokai Wang, Baisen Wang +7

Music is essential when editing videos, but selecting music manually is difficult and time-consuming. Thus, we seek to automatically generate background music tracks given video in…

cs.CV2022

Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline

Yuanbin Wang, Leyan Zhu, Shaofei Huang +4

As one of the fundamental functions of autonomous driving system, freespace detection aims at classifying each pixel of the image captured by the camera as drivable or non-drivable…

cs.CV2022

PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding

Zihan Ding, Zi-han Ding, Tianrui Hui +4

Panoptic Narrative Grounding (PNG) is an emerging task whose goal is to segment visual objects of things and stuff categories described by dense narrative captions of a still image…

cs.CV2022★ 3 cited

Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation

Zihan Ding, Tianrui Hui, Junshi Huang +3

Referring video object segmentation aims to predict foreground labels for objects referred by natural language expressions in videos. Previous methods either depend on 3D ConvNets…

cs.CV2022★ 9 cited

GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection

Yue Liao, Aixi Zhang, Miao Lu +3

The task of Human-Object Interaction~(HOI) detection could be divided into two core problems, i.e., human-object association and interaction understanding. In this paper, we reveal…