101 citations · 137 across the 5 of their papers we have counts for
5 papers
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation
Sai Rajeswar, Fahim Mannan, Florian Golemo +4
We infer and generate three-dimensional (3D) scene information from a single input image and without supervision. This problem is under-explored, with most prior work relying on su…
Adversarial Computation of Optimal Transport Maps
Jacob Leygonie, Jennifer She, Amjad Almahairi +2
Computing optimal transport maps between high-dimensional and continuous distributions is a challenging problem in optimal transport (OT). Generative adversarial networks (GANs) ar…
A Deep Reinforcement Learning Chatbot (Short Version)
Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain +15
We present MILABOT: a deep reinforcement learning chatbot developed by the Montreal Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize competition. MILABOT is capa…
Adversarial Generation of Natural Language
Sai Rajeswar, Sandeep Subramanian, Francis Dutil +2
Generative Adversarial Networks (GANs) have gathered a lot of attention from the computer vision community, yielding impressive results for image generation. Advances in the advers…
A hypothesize-and-verify framework for Text Recognition using Deep Recurrent Neural Networks
Anupama Ray, Sai Rajeswar, Santanu Chaudhury
Deep LSTM is an ideal candidate for text recognition. However text recognition involves some initial image processing steps like segmentation of lines and words which can induce er…