[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

CMSC472 Assignment 3

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

A collection of useful .gitignore templates

The Pytorch code of OCNet series and SegFix.

Deep Learning Examples

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

Large Scale Facial Model (LSFM) - an automatic pipeline for constructing 3D Morphable Models from large collections of facial meshes

Convolutional Mesh Autoencoders for Generating 3D Faces

Implementation of the paper 'Deep Learning of Graph Matching', CVPR 2018.

Minimal PyTorch implementation of YOLOv3

COCO Stuff API

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF implement in pyotrch

MPI-IS Mesh Processing Library