pinkfloyd06
pinkfloyd06
Hello @ZheC , Let me first thank you for your work. 1) l noticed that your pose estimation network doesn't scale to small persons why ? if the persons are...
Hello @ZheC, Let me first thank you for your clean code and paper. I have a question related to the order of key points. 1) Since we have 18 human...
Hello @mdeff , MNIST data are defined on 2D grid. Hence, we build graph on MNIST by supposing that each pixel is a node and the max number edges per...
Hello @mdeff Let me thank you for this notebook showing different graph convolution implementation. https://github.com/mdeff/cnn_graph/blob/master/trials/1_learning_filters.ipynb l'm wondering if you have an optimized implementation of a convolution in a full spectral...
Hello, thank you for your work. l'm asking how can l use spatial and temporal model on UCF-101 for features extraction ? Thank you
Hello @tomrunia, Le me first thank you for you work. l'm looking for the fine-tuned I3D kinetics-400 model on UCF-101. Is it available ? Thank you
Hello @shuangshuangguo Let me first thank you for the conversion. Can l extract features representation (from last fully connected layer) for each frame (rather than for the whole video )...
Hello, l would like to know whether your code extends to irregular graph structure , such that : number of edges is variable (rather than number_edges = 8) and the...
Hello @xbresson , Thank you for your work and for making available pytorch version of GCN. I have question relate to `graph_conv_cheby(self, x, cl, L, lmax, Fout, K)` function (https://github.com/xbresson/spectral_graph_convnets/blob/master/02_graph_convnet_lenet5_mnist_pytorch.ipynb)...
Hello @xbresson , Let me first thank for this work. l went through your implementation. Hence , l have some question : 1- You set coarsening_levels = 4, however only...