roadjiang

roadjiang's Stars

• dk-liang/Awesome-Visual-Transformer

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

  3.3k10640392

• google-research/scenic

  Scenic: A Jax Library for Computer Vision Research and Beyond

  Language:Python3.1k40240415

• google/sg2im

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

  Language:Python1.3k4427230

• google-research/magvit

  Official JAX implementation of MAGVIT: Masked Generative Video Transformer

  Language:Python894712243

• rgeirhos/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)

  Language:R7791930101

• google/next-prediction

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

  Language:Python352183197

• google/revisiting-self-supervised

  Language:Python35020640

• google/mentornet

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

  Language:Python32010963

• kgl-prml/Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation

  pytorch implementation for Contrastive Adaptation Network

  Language:Python32061858

• google-research/task_adaptation

  Language:Python304161534

• google/tirg

  deep learning, image retrieval, vision and language

  Language:Python294142082

• google/e3d_lstm

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

  Language:Python190141858

• google/lecam-gan

  Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)

  Language:Jupyter Notebook163101218

• google/graph_distillation

  Graph Distillation for Action Detection

  Language:Python665219

• mlpc-ucsd/ViTGAN

  Language:Python483108

• chintu619/citation-sorted-arxiv-slack-bot

  Top ML papers published daily in arXiv

  Language:Python41414

• JunweiLiang/FVTA_MemexQA

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

  Language:Python333215

• google/tim-gan

  Language:Python11428

• google/controlled-noisy-web-labels

  Language:HTML44

• JunweiLiang/MemexQA_StarterCode

  Language:Python4105

• roadjiang/memexqa

  MemexQA Dataset

  3400

• roadjiang/FVTA_memoryqa

  Real-world photo sequence question answering system

  Language:Python1200

• roadjiang/roadjiang.github.io

  Language:HTML10