activity
20172022
most citedMeta-Embeddings Based On Self-Attention

2 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Geo6D: Geometric Constraints Learning for 6D Pose Estimation

Jianqiu Chen, Mingshan Sun, Ye Zheng +7

Numerous 6D pose estimation methods have been proposed that employ end-to-end regression to directly estimate the target pose parameters. Since the visible features of objects are…

cs.CV2022★ 1 cited

Uni6Dv2: Noise Elimination for 6D Pose Estimation

Mingshan Sun, Ye Zheng, Tianpeng Bao +5

Uni6D is the first 6D pose estimation approach to employ a unified backbone network to extract features from both RGB and depth images. We discover that the principal reasons of Un…

cs.CV2022★ 2 cited

Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation

Xiaoke Jiang, Donghai Li, Hao Chen +3

As RGB-D sensors become more affordable, using RGB-D images to obtain high-accuracy 6D pose estimation results becomes a better option. State-of-the-art approaches typically use di…

cs.CL2020★ 2 cited

Meta-Embeddings Based On Self-Attention

Qichen Li, Yuanqing Lin, Luofeng Zhou +1

Creating meta-embeddings for better performance in language modelling has received attention lately, and methods based on concatenation or merely calculating the arithmetic mean of…

cs.MM2017★ 1 cited

FISF: Better User Experience using Smaller Bandwidth for Panoramic Virtual Reality Video

Lun Wang, Damai Dai, Jie Jiang +5

The panoramic video is widely used to build virtual reality (VR) and is expected to be one of the next generation Killer-Apps. Transmitting panoramic VR videos is a challenging tas…