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20152026
most citedCollaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution

18 citations · 73 across the 35 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV20212 cited

Depth-only Object Tracking

Song Yan, Jinyu Yang, Ales Leonardis +1

Depth (D) indicates occlusion and is less sensitive to illumination changes, which make depth attractive modality for Visual Object Tracking (VOT). Depth is used in RGBD object tra…

cs.CV2021

DepthTrack : Unveiling the Power of RGBD Tracking

Song Yan, Jinyu Yang, Jani Käpylä +3

RGBD (RGB plus depth) object tracking is gaining momentum as RGBD sensors have become popular in many application fields such as robotics.However, the best RGBD trackers are extens…

eess.IV2021

NTIRE 2021 Challenge on Perceptual Image Quality Assessment

Jinjin Gu, Haoming Cai, Chao Dong +47

This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…

cs.CV2021

NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results

Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Aleš Leonardis +1

This paper reviews the first challenge on high-dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunctio…

cs.CV2021

FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism

Wei Chen, Xi Jia, Hyung Jin Chang +3

In this paper, we focus on category-level 6D pose and size estimation from monocular RGB-D image. Previous methods suffer from inefficient category-level pose feature extraction wh…