2 code implementations • 25 Sep 2023 • Zihang Wang, Maowei Jiang
Reinforcement learning(RL) algorithms face the challenge of limited data efficiency, particularly when dealing with high-dimensional state spaces and large-scale problems.
1 code implementation • Machines 2023 • Zihang Wang, Xueying Sun, Hao Wei, Qing Ma, Qiang Zhang
To tackle this challenge, we proposed a pioneering two-stage hybrid Convolutional Neural Network (CNN) architecture, which connects segmentation and pose estimation in tandem.
Ranked #1 on 6D Pose Estimation using RGBD on YCB-Video
1 code implementation • 3 Dec 2019 • Akshit Tyagi, Varun Sharma, Rahul Gupta, Lynn Samson, Nan Zhuang, Zihang Wang, Bill Campbell
To address the latency and computational complexity issues, we explore a BranchyNet scheme on an intent classification scheme within SLU systems.