djzgroup Goto Github PK

al-cs-ssl

bgru-attentionpooling

We propose the Bidirectional Gated Recurrent Units (BGRU), which are integrated with the attention mechanism to pay attention to the important information and filter out the noise.

capsule-handnet

cfenet

coarsetofine-wireframe-rec

contourgeneration

djzgroup.github.io

docker-pytorch

A Docker image for PyTorch

dualcorrelationnetwork

fanforvos

fewshotclassification

fewshotsegmentation

humanposesurvey

iom-iou

IoMIoU: Online Real-time high quality action tubes constructing

keypoints

linuxos_course

《Linux操作系统》课程资料

mlcffortracking

non-rigid-registration

pca-ae-ada

Integrating Feature Selection and Feature Extraction Methods with Deep Learning to Predict Clinical Outcome of Breast Cancer

pointwisenet

Pointwise Geometric and Semantic Learning Network on 3D Point Clouds

rsforwordtranslation

Reconstructed Similarity for Faster GANs-Based Word Translation to Mitigate Hubness

rt-st-action-localization

smooth-flownet3d

This is an open source project about point cloud smooth scene flow estimation algorithm.

ustd-flownet3d

This is an open source project about point cloud scene flow estimation algorithm.

vae-contextawarelinkprediction

Networks Embedding (NE) plays a very important role in network analysis in real life. Most of the current Network Representation Learning (NRL) models only consider the structure information, and have static embeddings. However, the identical vertex can exhibit different characters when interacting with different vertices. In this paper, we propose a context-aware text-embedding model which seamlessly integrates the structure information and the text information of the vertex. We employ the Variational AutoEncoder (VAE) to statically obtain the textual information of each vertex and use mutual attention mechanism to dynamically assign the embeddings to a vertex according to different neighbors it interacts with. Comprehensive experiments were conducted on two publicly available link prediction datasets. Experimental results demonstrate that our model performs superior compared to baselines.

visual-basedcharacterembedding

A novel model called Img2Vec: using Principal Component 8 Analysis (PCA) to replace the CNN to generate word embedding vectors.

wau