Junru Wu (Sandbox3aster)

Sandbox3aster

Geek Repo

Company:Texas A&M University

Home Page:sandbox3aster.github.io

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Junru Wu's repositories

Can-we-Gain-More-from-Orthogonality

Official Implementation for https://arxiv.org/abs/1810.09102

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996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

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ABD-Net

[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114

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autokeras

accessible AutoML for deep learning.

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ClassyVision

An end-to-end PyTorch framework for image and video classification

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CVPR2019-MADDoG

Codes for Multi-adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection

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EnlightenGAN

EnlightenGAN: Deep Light Enhancement without Paired Supervision

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hw-ruby-intro

Ruby Introduction Assignment for Agile Development using Ruby on Rails

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rottenpotatoes-rails-intro

RottenPotatoes app skeleton for saasbook/hw-rails-intro

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Semantic_Human_Matting

Semantic Human Matting

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siren

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

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stuff

Stuff I uploaded to share online or to access from a different machine

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TimeCycle

Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)

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typo

Typo is the oldest and most powerful Ruby on Rails blogware, providing custom templates, powerful drag and drop plugins API, advanced SEO capabilities, XMLRPC API and many more.

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UAV-NDFT

[ICCV 2019] "Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach"

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ultra_high_resolution_segmentation

code used for CVPR2019 oral "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images"

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USAID

[Preprint] "Segmentation-Aware Image Denoising without Knowing True Segmentation"

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vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

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video-nonlocal-net

Non-local Neural Networks for Video Classification

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vision

Datasets, Transforms and Models specific to Computer Vision

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WeakNAS-1

[NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen and Lu Yuan

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