EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation
Code is a bit messy now. I woud clean up soon.
For training the EFENet using the warping and fusion strategy proposed in our paper, run ./qsub_train_exp18.sh
For CrossNet with other warping and fusion strategies to perform reference-based video super-resolution (RefVSR), refer to other running file like "qsub_train_[id instead of 18].sh". More details would be given soon to distiguish each of those strategies.
MiSLAS Improving Calibration for Long-Tailed Recognition Authors: Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia [arXiv] [slide] [BibTeX] Introductio
Scene Graph Generation Object Detections Ground truth Scene Graph Generated Scene Graph In this visualization, woman sitting on rock is a zero-shot tr
CAMoE + Dual SoftMax Loss (DSL): Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss This is official implement of "
Yet Another Robotics and Reinforcement (YARR) learning framework for PyTorch.
Pretty Tensor provides a high level builder API for TensorFlow. It provides thin wrappers on Tensors so that you can easily build multi-layer neural networks.
DD3D: "Is Pseudo-Lidar needed for Monocular 3D Object detection?" Install // Datasets // Experiments // Models // License // Reference Full video Offi
CRL_EGPG Pytorch Implementation of Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation We use contrastive loss implemented b
___ __ __ -. .-. | __|(+) _ _ _ _\ \ / /(+) _ _ ___ .-. .- \ / \ | _| | | '_| ' \ \/
Chinese named entity recognization (Bilstm with Keras) Project Structure ./ ├── README.md ├── data │ ├── README.md │ ├── data 数据集 │ │ ├─
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
We developed a method animating a statistical 3D human model for biomechanical analysis to increase accessibility for non-experts, like patients, athletes, or designers.
Tensorflow2 Keras-based Semantic Segmentation Models Implementation
Multi-Glimpse Network Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention arXiv Require
DenoisingRec Adaptive Denoising Training for Recommendation. This is the pytorch implementation of our paper at WSDM 2021: Denoising Implicit Feedback
Jump Reward Inference for 1D Music Rhythmic State Spaces An implementation of the probablistic jump reward inference model for music rhythmic informat
Heterogeneous-Deep-Graph-Infomax Parameter Setting: HDGI-A: Node-level dimension: 16 Attention head: 4 Semantic-level attention vector: 8 learning rat
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction Requirements The code has been tested running under Python 3.7.4, with the foll
Notice: Support for Python 3.6 will be dropped in v.0.2.1, please plan accordingly! Efficient and Scalable Physics-Informed Deep Learning Collocation-
Paker Paker is module for importing Python packages/modules from dictionaries and JSON formatted documents. It was inspired by httpimporter. Important
LQVAE-separation Code for "Unsupervised Source Separation via Bayesian inference in the latent domain" Paper Samples GT Compressed Separated Drums GT
116 Dec 20, 2022
93 Dec 28, 2022
87 Dec 24, 2022
51 Dec 27, 2022
1.2k Dec 29, 2022
364 Dec 27, 2022
25 Nov 14, 2022
571 Dec 25, 2022
1 Dec 17, 2021
4.7k Dec 31, 2022
66 Nov 19, 2022
1 Feb 08, 2022
9 May 10, 2022
51 Dec 30, 2022
25 Dec 16, 2022
52 Oct 31, 2022
84 Jan 01, 2023
74 Dec 09, 2022
1 Sep 07, 2022
30 Oct 25, 2022