Higher-Order Transformers
Kim J, Oh S, Hong S, Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs, NeurIPS 2021. [arxiv]
We will release the official implementation during early November.
(to be released) [NeurIPS'21] Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs
Overview
Official Pytorch Implementation of Unsupervised Image Denoising with Frequency Domain Knowledge
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OpenMMLab Model Deployment Toolset
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PyTea: PyTorch Tensor shape error analyzer
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Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
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Video lie detector using xgboost - A video lie detector using OpenFace and xgboost
video_lie_detector_using_xgboost a video lie detector using OpenFace and xgboost
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PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions This is the official repository of PRIME, the data agumentation method introduced i
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CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement
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An unofficial implementation of "Unpaired Image Super-Resolution using Pseudo-Supervision." CVPR2020
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DeepMReye: magnetic resonance-based eye tracking using deep neural networks
DeepMReye: magnetic resonance-based eye tracking using deep neural networks
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LETR: Line Segment Detection Using Transformers without Edges
LETR: Line Segment Detection Using Transformers without Edges Introduction This repository contains the official code and pretrained models for Line S
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A PyTorch library for Vision Transformers
VFormer A PyTorch library for Vision Transformers Getting Started Read the contributing guidelines in CONTRIBUTING.rst to learn how to start contribut
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https://sites.google.com/cornell.edu/recsys2021tutorial
Counterfactual Learning and Evaluation for Recommender Systems (RecSys'21 Tutorial) Materials for "Counterfactual Learning and Evaluation for Recommen
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The dynamics of representation learning in shallow, non-linear autoencoders
The dynamics of representation learning in shallow, non-linear autoencoders The package is written in python and uses the pytorch implementation to ML
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use tensorflow 2.0 to tell a dog and cat from a specified picture
dog_or_cat use tensorflow 2.0 to tell a dog and cat from a specified picture This is one of the classic experiments for the introduction of deep learn
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Discord bot-CTFD-Thread-Parser - Discord bot CTFD-Thread-Parser
Discord bot CTFD-Thread-Parser Description: This tools is used to create automat
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An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range image. IROS21
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Image De-raining Using a Conditional Generative Adversarial Network
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Convert Python 3 code to CUDA code.
Py2CUDA Convert python code to CUDA. Usage To convert a python file say named py_file.py to CUDA, run python generate_cuda.py --file py_file.py --arch
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This repository is an open-source implementation of the ICRA 2021 paper: Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling.
Locus This repository is an open-source implementation of the ICRA 2021 paper: Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order
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Compressed Video Action Recognition
Compressed Video Action Recognition Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl. In CVPR, 2018. [Proj
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