23 citations · 30 across the 7 of their papers we have counts for
7 papers
3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels
Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji +3
Training a 3D human keypoint detector from point clouds in a supervised manner requires large volumes of high quality labels. While it is relatively easy to capture large amounts o…
ZeroAvatar: Zero-shot 3D Avatar Generation from a Single Image
Zhenzhen Weng, Zeyu Wang, Serena Yeung
Recent advancements in text-to-image generation have enabled significant progress in zero-shot 3D shape generation. This is achieved by score distillation, a methodology that uses…
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action
Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou +4
The task of reconstructing 3D human motion has wideranging applications. The gold standard Motion capture (MoCap) systems are accurate but inaccessible to the general public due to…
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery
Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa +1
The ability to perceive 3D human bodies from a single image has a multitude of applications ranging from entertainment and robotics to neuroscience and healthcare. A fundamental ch…
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision
Zhenzhen Weng, Mehmet Giray Ogut, Shai Limonchik +1
Instance segmentation is an active topic in computer vision that is usually solved by using supervised learning approaches over very large datasets composed of object level masks.…
Holistic 3D Human and Scene Mesh Estimation from Single View Images
Zhenzhen Weng, Serena Yeung
The 3D world limits the human body pose and the human body pose conveys information about the surrounding objects. Indeed, from a single image of a person placed in an indoor scene…
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
Vincent S. Chen, Sen Wu, Zhenzhen Weng +2
In real-world machine learning applications, data subsets correspond to especially critical outcomes: vulnerable cyclist detections are safety-critical in an autonomous driving tas…