Scientific Report on TUM-IAS Fellowship 2022
We study the emerging research problem of connecting natural language describing objects and scenes to 3D data representations of the objects and scenes. We address resolving textual references of objects to 3D localizations of those objects, dense captioning of 3D scenes, and unified approaches that can both localize and describe objects in 3D scenes by leveraging a speaker-listener model. full report …
Scientific Report on TUM-IAS Fellowship 2020
We in the Visual Computing Focus Group are research enthusiasts pushing the state of the art at the intersection of computer vision, graphics, and machine learning. Our research mission is to obtain high-quality digital models of the real world, which include detailed geometry, surface texture, and material in both static and dynamic environments. full report
Short CV
Selected Awards
Research Interests
Selected Publications
- SAPIEN: a SimulAted Part-based Interactive ENvironment
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao (Shawn) Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas Guibas, Hao Su
CVPR 2020
https://arxiv.org/pdf/2003.08515.pdf
- Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
Kevin Chen, Christopher B. Choy, Manolis Savva, Angel X. Chang, Thomas Funkhouser, Silvio Savarese
ACCV 2018
https://arxiv.org/pdf/1803.08495.pdf
- ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, Matthias Nießner
CVPR 2017
https://arxiv.org/pdf/1702.04405.pdf
- ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, Fisher Yu
Arxiv 2015
https://arxiv.org/pdf/1512.03012v1.pdf
- Learning Spatial Knowledge for Text to 3D Scene Generation
Angel X. Chang, Manolis Savva, Christopher D. Manning
EMNLP 2014
https://www.aclweb.org/anthology/D14-1217.pdf
Publications as TUM-IAS-Fellow
