Stars
Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023)
Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"
SLAMP: Stochastic Latent Appearance and Motion Prediction
Must-read papers on graph neural networks (GNN)
Code for Improved Condtional VRNNs for Video Prediction
Learning the Model Update for Siamese Trackers (ICCV 2019)
[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)
Python tools for working with KITTI data.
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
Sequence Level Semantics Aggregation for Video Object Detection
A curated list of community detection research papers with implementations.
Datasets, Transforms and Models specific to Computer Vision
Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)
GPU Accelerated t-SNE for CUDA with Python bindings
Latex code for making neural networks diagrams
This repository contains the reference implementation for our proposed Convolutional CRFs.
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
Our own implementation of Neural Message Passing for Computer Vision paper
Sample Code for Graph Partition Neural Networks
Code used to produce experimental results for the paper "Deep Structured Prediction with Nonlinear Output Activations"
Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A Python wrapper around Metis, a graph partitioning package