jacobswan1

Video2Commonsense

Video captioning baseline models on Video2Commonsense Dataset.

ViTCAP

Implementation for CVPR 2022 paper " Injecting Semantic Concepts into End-to-End Image Captionin".

SEED

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

SparseR-CNN

End-to-End Object Detection with Learnable Proposal, CVPR2021

all-in-one

[Arxiv2022] All in One: Exploring Unified Video-Language Pre-training

ASU-Thesis-Format

ASU Thesis Format

botocore

The low-level, core functionality of boto 3.

CLIP4Clip

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

CMC

Contrastive Multiview Coding

coco-caption

color-aware-style-transfer

Reference code for the paper CAMS: Color-Aware Multi-Style Transfer.

Dense_Flow_Extraction

denseflow

Extracting optical flow and frames

Dreambooth-Stable-Diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

IMRAM

code for our CVPR2020 paper "IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval"

info-ground

Learning phrase grounding from captioned images through InfoNCE bound on mutual information

LocalizingMoments

Github for my ICCV 2017 paper: "Localizing Moments in Video with Natural Language"

markdown-content

Markdown content for the www.aerobatic.io website

Oscar

Oscar and VinVL

PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

pytorchvideo

A deep learning library for video understanding research.

RESUME

stable-diffusion

stable-diffusion-1

SwinBERT

Research code for CVPR 2022 paper "SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning"

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

video-swin-transformer-pytorch

Video Swin Transformer - PyTorch

WebQA