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@aimagelab

AImageLab

Popular repositories

  1. Meshed-Memory Transformer for Image Captioning. CVPR 2020

    Python 398 119

  2. Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019

    Python 268 62

  3. mammoth Public

    An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

    Python 199 41

  4. Latent space autoregression for novelty detection.

    Python 176 58

  5. Dress Code: High-Resolution Multi-Category Virtual Try-On. arXiv 2022

    Python 100 10

  6. art2real Public

    Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation. CVPR 2019

    Python 73 6

Repositories

  • rpe_spdh Public

    PyTorch code for IEEE RA-L paper: "Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps"

    Python 0 MIT 0 0 0 Updated Jun 28, 2022
  • VKD Public

    PyTorch code for ECCV 2020 paper: "Robust Re-Identification by Multiple Views Knowledge Distillation"

    Python 63 MIT 13 1 3 Updated Jun 22, 2022
  • DynamicConv-agent Public

    PyTorch code for BMVC 2019 paper: Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters

    C++ 19 MIT 7 0 9 Updated Jun 21, 2022
  • dress-code Public

    Dress Code: High-Resolution Multi-Category Virtual Try-On. arXiv 2022

    Python 100 10 0 0 Updated Jun 20, 2022
  • mammoth Public

    An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

    Python 199 MIT 41 1 0 Updated Jun 16, 2022
  • mcmr Public

    PyTorch code for 3DV 2021 paper: "Multi-Category Mesh Reconstruction From Image Collections"

    Python 13 MIT 2 0 0 Updated Jun 8, 2022
  • DefConvs_HTR Public

    Boosting modern and historical handwritten text recognition with deformable convolutions (ICPR20, IJDAR22)

    Python 0 0 0 0 Updated Jun 7, 2022
  • LAM Public

    The Ludovico Antonio Muratori (LAM) dataset is the largest line-level HTR dataset to date and contains 25,823 lines from Italian ancient manuscripts edited by a single author over 60 years. The dataset comes in two configurations: a basic splitting and a date-based splitting which takes into account the age of the author. The first setting is in…

    0 0 0 0 Updated Jun 7, 2022
  • cvcs2022 Public
    0 0 0 0 Updated May 19, 2022
  • ag3d Public
    0 0 0 0 Updated Apr 21, 2022