Yangyan Li

According to our database1, Yangyan Li authored at least 35 papers between 2010 and 2022.

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Bibliography

2022
DO-Conv: Depthwise Over-Parameterized Convolutional Layer.
IEEE Trans. Image Process., 2022

Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds.
Proceedings of the Conference on Robot Learning, 2022

2021
RGB×D: Learning depth-weighted RGB patches for RGB-D indoor semantic segmentation.
Neurocomputing, 2021

APM: Adaptive permutation module for point cloud classification.
Comput. Graph., 2021

ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Face identity disentanglement via latent space mapping.
ACM Trans. Graph., 2020

DeepPipes: Learning 3D pipelines reconstruction from point clouds.
Graph. Model., 2020

GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Pixel Labeling.
CoRR, 2020

Disentangling in Latent Space by Harnessing a Pretrained Generator.
CoRR, 2020

MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion.
CoRR, 2020

GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Semantic Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018
Group optimization for multi-attribute visual embedding.
Vis. Informatics, 2018

DiDA: Disentangled Synthesis for Domain Adaptation.
CoRR, 2018

PointCNN.
CoRR, 2018

Active Assembly Guidance with Online Video Parsing.
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018

PointCNN: Convolution On X-Transformed Points.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.
CoRR, 2017

Bundle Optimization for Multi-aspect Embedding.
CoRR, 2017

2016
Synthesizing Training Images for Boosting Human 3D Pose Estimation.
CoRR, 2016

A Tool-Free Calibration Method for Turntable-Based 3D Scanning Systems.
IEEE Computer Graphics and Applications, 2016

FPNN: Field Probing Neural Networks for 3D Data.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Knowledge-based trajectory completion from sparse GPS samples.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

A Holistic Approach for Data-Driven Object Cutout.
Proceedings of the Computer Vision - ACCV 2016, 2016


Synthesizing Training Images for Boosting Human 3D Pose Estimation.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
Joint embeddings of shapes and images via CNN image purification.
ACM Trans. Graph., 2015

Activity-centric scene synthesis for functional 3D scene modeling.
ACM Trans. Graph., 2015

Database-Assisted Object Retrieval for Real-Time 3D Reconstruction.
Comput. Graph. Forum, 2015

Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Estimating image depth using shape collections.
ACM Trans. Graph., 2014

2013
Analyzing growing plants from 4D point cloud data.
ACM Trans. Graph., 2013

2011
GlobFit: consistently fitting primitives by discovering global relations.
ACM Trans. Graph., 2011

2D-3D fusion for layer decomposition of urban facades.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Non-local scan consolidation for 3D urban scenes.
ACM Trans. Graph., 2010


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