Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction

no code implementations • 12 May 2023 • Cho-Ying Wu, Yiqi Zhong, Junying Wang, Ulrich Neumann

We instead propose fine-grained task that treats each RGB-D pair as a task in our meta-optimization.

Depth Prediction Image Classification +2

Complete 3D Human Reconstruction From a Single Incomplete Image

no code implementations • CVPR 2023 • Junying Wang, Jae Shin Yoon, Tuanfeng Y. Wang, Krishna Kumar Singh, Ulrich Neumann

This paper presents a method to reconstruct a complete human geometry and texture from an image of a person with only partial body observed, e. g., a torso.

3D Human Reconstruction

An Attractor-Guided Neural Networks for Skeleton-Based Human Motion Prediction

no code implementations • 20 May 2021 • Pengxiang Ding, Junying Wang, Jianqin Yin

However, the global coordination of all joints, which reflects human motion's balance property, is usually weakened because it is learned from part to whole progressively and asynchronously.

Human motion prediction motion prediction

Tournament selection in zeroth-level classifier systems based on average reward reinforcement learning

no code implementations • 26 Apr 2016 • Zhaoxiang Zang, Zhao Li, Junying Wang, Zhiping Dan

As a genetics-based machine learning technique, zeroth-level classifier system (ZCS) is based on a discounted reward reinforcement learning algorithm, bucket-brigade algorithm, which optimizes the discounted total reward received by an agent but is not suitable for all multi-step problems, especially large-size ones.

reinforcement-learning Reinforcement Learning (RL)