roadjiang

Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

sg2im

Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

magvit

Official JAX implementation of MAGVIT: Masked Generative Video Transformer

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

next-prediction

Code and model for "Peeking into the Future: Predicting Future Person Activities and Locations in Videos", Liang et al, CVPR 2019

revisiting-self-supervised

Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation

pytorch implementation for Contrastive Adaptation Network

mentornet

Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

task_adaptation

tirg

deep learning, image retrieval, vision and language

e3d_lstm

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

lecam-gan

Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)

graph_distillation

Graph Distillation for Action Detection

ViTGAN

citation-sorted-arxiv-slack-bot

Top ML papers published daily in arXiv

FVTA_MemexQA

Real-world photo sequence question answering system (MemexQA). CVPR'18 and TPAMI'19

tim-gan

controlled-noisy-web-labels

MemexQA_StarterCode

memexqa

MemexQA Dataset

FVTA_memoryqa

Real-world photo sequence question answering system

roadjiang.github.io