WebBibliographic details on PartAfford: Part-level Affordance Discovery from 3D Objects. We are hiring! Do you want to help us build the German Research Data Infrastructure NFDI … WebUnderstanding what objects could furnish for humans– namely, learning object affordance–is the crux to bridge perception and action. In the vision community, prior work primarily focuses on learning object affordance with dense (e.g., at a per-pixel level) supervision.

Yixin Zhu Papers With Code

WebDr. Yixin Zhu received a Ph.D. degree (‘18) from UCLA advised by Prof. Song-Chun Zhu . His research builds interactive AI by integrating high-level common sense ( functionality, … WebPartAfford: Part-level Affordance Discovery from 3D Objects [113.91774531972855] We present a new task of part-level affordance discovery (PartAfford) Given only the affordance labels per object, the machine is tasked to (i) decompose 3D shapes into parts and (ii) discover how each part corresponds to a certain affordance category. tremors attack pack

Computer Vision and Pattern Recognition - arXiv

WebPartAfford: Part‑level Affordance Discovery from Cross‑category 3D Objects Chao Xu, Yixin Chen, He Wang, Song-Chun Zhu, Yixin Zhu, Siyuan Huang ECCV 2024 Visual … WebAuthors: Chao Xu, Yixin Chen, He Wang, Song-Chun Zhu, Yixin Zhu, Siyuan Huang (UC Los Angeles, Peking University, Beijing Institute of General Artificial Int... WebProceedings of the IEEE Conference on Computer Vision and Pattern …. , 2024. 56. 2024. Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning. Q Li, S Huang, Y Hong, Y Chen, YN Wu, SC Zhu. International Conference on Machine Learning, 5884-5894. , 2024. 50. temperature to smoke pork butt