1k citations · 1k across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Deploying Offline Reinforcement Learning with Human Feedback
Ziniu Li, Ke Xu, Liu Liu +3
Reinforcement learning (RL) has shown promise for decision-making tasks in real-world applications. One practical framework involves training parameterized policy models from an of…
cs.CV2021★ 10 cited
OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval
Han Xue, Liu Liu, Wenqiang Xu +2
Articulated objects are pervasive in daily life. However, due to the intrinsic high-DoF structure, the joint states of the articulated objects are hard to be estimated. To model ar…
cs.CV2014★ 1k cited
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong, Liu Liu, Ming Yang +1
Deep convolutional neural networks (CNN) has become the most promising method for object recognition, repeatedly demonstrating record breaking results for image classification and…