Search Results for author: Yinyu Nie

Found 9 papers, 5 papers with code

PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories

no code implementations10 Jun 2022 Yuchen Rao, Yinyu Nie, Angela Dai

While 3D shape representations enable powerful reasoning in many visual and perception applications, learning 3D shape priors tends to be constrained to the specific categories trained on, leading to an inefficient learning process, particularly for general applications with unseen categories.

Pose2Room: Understanding 3D Scenes from Human Activities

no code implementations1 Dec 2021 Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner

To this end, we propose P2R-Net to learn a probabilistic 3D model of the objects in a scene characterized by their class categories and oriented 3D bounding boxes, based on an input observed human trajectory in the environment.

ME-PCN: Point Completion Conditioned on Mask Emptiness

1 code implementation ICCV 2021 Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, Yizhou Yu

Main-stream methods predict the missing shapes by decoding a global feature learned from the input point cloud, which often leads to deficient results in preserving topology consistency and surface details.

Surgical Instruction Generation with Transformers

1 code implementation14 Jul 2021 Jinglu Zhang, Yinyu Nie, Jian Chang, Jian Jun Zhang

Automatic surgical instruction generation is a prerequisite towards intra-operative context-aware surgical assistance.

Machine Translation reinforcement-learning +1

RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction

1 code implementation CVPR 2021 Yinyu Nie, Ji Hou, Xiaoguang Han, Matthias Nießner

In this work, we introduce RfD-Net that jointly detects and reconstructs dense object surfaces directly from raw point clouds.

object-detection Object Detection +3

Symmetric Dilated Convolution for Surgical Gesture Recognition

1 code implementation13 Jul 2020 Jinglu Zhang, Yinyu Nie, Yao Lyu, Hailin Li, Jian Chang, Xiaosong Yang, Jian Jun Zhang

The experiment results demonstrate the ability of our method on capturing long-term frame dependencies, which largely outperform the state-of-the-art methods on the frame-wise accuracy up to ~6 points and the F1@50 score ~6 points.

Gesture Recognition Surgical Gesture Recognition

Shallow2Deep: Indoor Scene Modeling by Single Image Understanding

no code implementations22 Feb 2020 Yinyu Nie, Shihui Guo, Jian Chang, Xiaoguang Han, Jiahui Huang, Shi-Min Hu, Jian Jun Zhang

Particularly, we design a shallow-to-deep architecture on the basis of convolutional networks for semantic scene understanding and modeling.

Scene Understanding

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