Media Summary: Learning Neural Parametric Head Models Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes ... A 8-min presentation of our work, "Egocentric Video Task Translation", published at QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation.
Cvpr 2023 Highlight Paper Bevformer - Detailed Analysis & Overview
Learning Neural Parametric Head Models Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes ... A 8-min presentation of our work, "Egocentric Video Task Translation", published at QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation. Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Semantic Segmentation. Video presentation in 8 minutes (including 1-minute summary) of our OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation project page: ...
![[CVPR 2023] Best Paper Finalist (Award Candidate) Talk by Prof. Yi-Zhe Song](https://i.ytimg.com/vi/WIibso_9Yvk/mqdefault.jpg)
![[CVPR 2023 Highlight] Egocentric Video Task Translation](https://i.ytimg.com/vi/HHWLMFIZ5ow/mqdefault.jpg)
![[CVPR 2023 Highlight] GAPartNet](https://i.ytimg.com/vi/yXU5dl9pyCc/mqdefault.jpg)
![[CVPR 2023] FreestyleNet](https://i.ytimg.com/vi/EUeV3b3XHe8/mqdefault.jpg)
![[CVPR 2023 Highlight] QPGesture Presentation Video](https://i.ytimg.com/vi/5GKjFclT618/mqdefault.jpg)
![[CVPR 2023] TranSG](https://i.ytimg.com/vi/jKLa36jPg-M/mqdefault.jpg)
![[CVPR 2023 Award Candidate] An Introduction to the OmniObject3D Dataset](https://i.ytimg.com/vi/UIGI5OjSZqc/mqdefault.jpg)
