This is an official implementation for "Attention-based Residual Autoencoder for Video Anomaly Detection".
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Updated
Jan 17, 2025 - Python
This is an official implementation for "Attention-based Residual Autoencoder for Video Anomaly Detection".
An unofficial LaTeX thesis template for ShanghaiTech University.
上海地区高校技术团体组成的名字待定的团体
This is an official implement for "HSTforU: Anomaly Detection in Aerial and Ground-based Videos with Hierarchical Spatio-Temporal Transformer for U-net"
Crowd counting on the ShanghaiTech dataset, using multi-column convolutional neural networks.
ShanghaiTech Computer Architecture Course (modeled after UC Berkeley's CS61C)
MoGuP: This repo is the official implementation of "MoGuP: Motion-guided Prediction for Video Anomaly Detection".
ShanghaiTech SI140 (Probability and Statistics) course project, fall 2021. This project is related to Multi-armed Bandit Simulation, Analysis and Design.
An unofficial LaTeX beamer template for ShanghaiTech students.
Dual-stream crowd anomaly detection using ConvLSTM — combines optical flow and crowd density signals to detect panic, surges, and dispersal events in real time. Auto-extracts alert clips. 30 FPS on M1.
Artificial Intelligence, UC Berkeley's CS188 taught at ShanghaiTech
ShanghaiTech CS100 (Introduction to Programming) course homework collection, spring 2022.
Real-time crowd density estimation using CSRNet (VGG-16 + dilated CNN) on ShanghaiTech Part A & B. Includes adaptive Gaussian kernel density map generation, from-scratch training on M1 CPU, MPS inference, and a live video demo with heatmap overlay and running count graph. Part A MAE: 87.85 | Part B MAE: 21.12
My cheatsheet and lab reports in ShanghaiTech
ShanghaiTech CS101A(H) Data Structures (2025 Fall) homework and projects. Featuring C++ implementations with automated Makefile builds, covering core algorithms from linked lists to advanced graph theory.
dns.he.net DDNS script for ShanghaiTech Univ.'s Network
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