René's URL Explorer Experiment


Title: Runyu Ding's Homepage

Mail addresses
dingry977@gmail.com

direct link

Domain: dingry.github.io

Links:

https://github.com/Dingry
https://scholar.google.com.hk/citations?hl=zh-CN&user=uweYupsAAAAJ
https://twitter.com/dngxngxng3
Prof. Xiaojuan Qihttps://xjqi.github.io/
Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learninghttps://dingry.github.io/projects/bunny_visionpro.html
[Project Page]https://dingry.github.io/projects/bunny_visionpro.html
[Documentation]https://dingry.github.io/BunnyVisionPro/
[Code]https://github.com/Dingry/BunnyVisionPro
https://github.com/Dingry/BunnyVisionPro
V-IRL: Grounding Virtual Intelligence in Real Lifehttps://arxiv.org/abs/2304.00962
[Project Page]https://virl-platform.github.io/
[Code]https://github.com/VIRL-Platform/VIRL
https://github.com/VIRL-Platform/VIRL
Can 3D Vision-Language Models Truly Understand Natural Language?https://arxiv.org/abs/2403.14760
[Code]https://github.com/VincentDENGP/3D-LR
https://github.com/VIRL-Platform/VIRL
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understandinghttps://arxiv.org/abs/2308.00353
[Project Page]https://dingry.github.io/projects/PLA.html
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understandinghttps://arxiv.org/abs/2304.00962
[Project Page]https://jihanyang.github.io/projects/RegionPLC
[Code]https://github.com/CVMI-Lab/PLA
https://github.com/CVMI-Lab/PLA
PLA: Language-Driven Open-Vocabulary 3D Scene Understandinghttps://arxiv.org/abs/2211.16312
[Project Page]https://dingry.github.io/projects/PLA.html
[Code]https://github.com/CVMI-Lab/PLA
https://github.com/CVMI-Lab/PLA
Towards Efficient 3D Object Detection with Knowledge Distillationhttps://arxiv.org/abs/2205.15156
[Code]https://github.com/CVMI-Lab/SparseKD
https://github.com/CVMI-Lab/SparseKD
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentationhttps://arxiv.org/abs/2204.01599
[Code]https://github.com/CVMI-Lab/DODA
https://github.com/CVMI-Lab/DODA
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Cloudshttps://arxiv.org/abs/2103.14635
[Code]https://github.com/CVMI-Lab/PAConv
https://github.com/CVMI-Lab/PAConv
Prof. Xiaolong Wanghttps://xiaolonw.github.io/
Dr. Song Bai.https://songbai.site/
Prof. Jifeng Dai.https://jifengdai.org/

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URLs of crawlers that visited me.