- NewYork
Stars
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Dataset of images of trash; Torch-based CNN for garbage image classification
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)
[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web
Implementation codes of CVPR 2018 Oral paper "Revisiting Deep Intrinsic Image Decompositions"
Implementation for learning a mapping from urban images that contain dynamic objects to static realistic images suitable for SLAM
[ICCV17] DeepCD: Learning Deep Complementary Descriptors for Patch Representations
Visual Global Localization with a Hybrid WNN-CNN Approach