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20212024
most citedRegion Aware Video Object Segmentation with Deep Motion Modeling

5 citations · 10 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2024

Referring Human Pose and Mask Estimation in the Wild

Bo Miao, Mingtao Feng, Zijie Wu +3

We introduce Referring Human Pose and Mask Estimation (R-HPM) in the wild, where either a text or positional prompt specifies the person of interest in an image. This new task hold…

cs.CV2024

Context-Enhanced Video Moment Retrieval with Large Language Models

Weijia Liu, Bo Miao, Jiuxin Cao +4

Current methods for Video Moment Retrieval (VMR) struggle to align complex situations involving specific environmental details, character descriptions, and action narratives. To ta…

cs.CV2024★ 1 cited

Temporally Consistent Referring Video Object Segmentation with Hybrid Memory

Bo Miao, Mohammed Bennamoun, Yongsheng Gao +2

Referring Video Object Segmentation (R-VOS) methods face challenges in maintaining consistent object segmentation due to temporal context variability and the presence of other visu…

cs.CV2024

External Knowledge Enhanced 3D Scene Generation from Sketch

Zijie Wu, Mingtao Feng, Yaonan Wang +4

Generating realistic 3D scenes is challenging due to the complexity of room layouts and object geometries.We propose a sketch based knowledge enhanced diffusion architecture (SEK)…

cs.CV2023

Spectrum-guided Multi-granularity Referring Video Object Segmentation

Bo Miao, Mohammed Bennamoun, Yongsheng Gao +1

Current referring video object segmentation (R-VOS) techniques extract conditional kernels from encoded (low-resolution) vision-language features to segment the decoded high-resolu…

cs.CV2022★ 5 cited

Region Aware Video Object Segmentation with Deep Motion Modeling

Bo Miao, Mohammed Bennamoun, Yongsheng Gao +1

Current semi-supervised video object segmentation (VOS) methods usually leverage the entire features of one frame to predict object masks and update memory. This introduces signifi…