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Johns Hopkins University
- Baltimore, MD
- https://shaoyuanlo.github.io/
- @shaoyuanlo
Stars
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Implementation for paper "Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Model"
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
👽 Out-of-Distribution Detection with PyTorch
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Code for <Domain Adaptive Video Segmentation via Temporal Consistency Regularization> in ICCV 2021
A collection of AWESOME things about domian adaptation
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation, CVPR 2019
[ECCV 2018]: T2Net: Synthetic-to-Realistic Translation for Depth Estimation Tasks
Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019
Pytorch Implementation of Deeper Depth Prediction with Fully Convolutional Residual Networks
Flops counter for convolutional networks in pytorch framework
150+ HTML5 Website Templates
A Pytorch implementation of DSC-Net (Deep subspace clustering networks, NIPS17)
A numpy-only implementation of a Convolutional Neural Network, from the ground up.
ARMORY Adversarial Robustness Evaluation Test Bed
Machine Learning and Computer Vision Engineer - Technical Interview Questions
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
pytorch structural similarity (SSIM) loss