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@ -267,6 +267,9 @@ This work introduce ScanObjectNN, a new real-world point cloud object dataset ba
<b>Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects (2018)</b> [[Paper]](https://research.nvidia.com/publication/2018-09_Deep-Object-Pose)
<p align="center"><img width="50%" src="https://research.nvidia.com/sites/default/files/publications/forwebsite1_0.png" /></p>
<b>MocapNET2: a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format (2021)</b> [[Paper]](http://users.ics.forth.gr/~argyros/mypapers/2021_01_ICPR_Qammaz.pdf), [[Code]](https://github.com/FORTH-ModelBasedTracker/MocapNET)
<p align="center"><img width="50%" src="https://raw.githubusercontent.com/FORTH-ModelBasedTracker/MocapNET/master/doc/mnet2.png" /></p>
<a name="single_classification" />
## Single Object Classification
@ -1168,4 +1171,4 @@ with Per-Pixel Ground Truth using Stochastic Grammars (2018)</b> [[Paper]](https
<b>PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points (NIPS 2019)</b> [[Paper]](https://papers.nips.cc/paper/9093-perspectivenet-3d-object-detection-from-a-single-rgb-image-via-perspective-points.pdf) <p align="center"><img width="50%" src="https://storage.googleapis.com/groundai-web-prod/media/users/user_288036/project_402358/images/x1.png" /></p>
<b>Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense (ICCV 2019)</b> [[Paper & Code]](https://github.com/yixchen/holistic_scene_human) <p align="center"><img width="50%" src="https://yixchen.github.io/holisticpp/file/pg.png" /></p>
<b>Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense (ICCV 2019)</b> [[Paper & Code]](https://github.com/yixchen/holistic_scene_human) <p align="center"><img width="50%" src="https://yixchen.github.io/holisticpp/file/pg.png" /></p>