7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.RO2025
KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning
Bingran Chen, Baorun Li, Jian Yang +2
High-level robotic manipulation tasks demand flexible 6-DoF grasp estimation to serve as a basic function. Previous approaches either directly generate grasps from point-cloud data…
cs.LG2020★ 7 cited
Propagating Asymptotic-Estimated Gradients for Low Bitwidth Quantized Neural Networks
Jun Chen, Yong Liu, Hao Zhang +2
The quantized neural networks (QNNs) can be useful for neural network acceleration and compression, but during the training process they pose a challenge: how to propagate the grad…