Search Results for author:
Found 12 papers, 3 papers with code
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
In edge computing, users' service profiles are migrated due to user mobility.
MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather
We present the encoder-forecaster convolutional long short-term memory (LSTM) deep-learning model that powers Microsoft Weather's operational precipitation nowcasting product.
Object-Centric Image Generation from Layouts
In this paper, we start with the idea that a model must be able to understand individual objects and relationships between objects in order to generate complex scenes well.
Ranked #1 on
Layout-to-Image Generation
on COCO-Stuff 64x64
Generative Adversarial Network
Layout-to-Image Generation
+1
From FiLM to Video: Multi-turn Question Answering with Multi-modal Context
Understanding audio-visual content and the ability to have an informative conversation about it have both been challenging areas for intelligent systems.
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Conditional text-to-image generation is an active area of research, with many possible applications.
Ranked #2 on
Text-to-Image Generation
on GeNeVA (i-CLEVR)
ChatPainter: Improving Text to Image Generation using Dialogue
Synthesizing realistic images from text descriptions on a dataset like Microsoft Common Objects in Context (MS COCO), where each image can contain several objects, is a challenging task.
Ranked #24 on
Text-to-Image Generation
on MS COCO
(Inception score metric)
Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation
However, previous work in dialogue response generation has shown that these metrics do not correlate strongly with human judgment in the non task-oriented dialogue setting.
A Frame Tracking Model for Memory-Enhanced Dialogue Systems
Recently, resources and tasks were proposed to go beyond state tracking in dialogue systems.
Frames: A Corpus for Adding Memory to Goal-Oriented Dialogue Systems
We developed this dataset to study the role of memory in goal-oriented dialogue systems.
Learning Preferences for Manipulation Tasks from Online Coactive Feedback
We consider the problem of learning preferences over trajectories for mobile manipulators such as personal robots and assembly line robots.
Action Recognition using Visual Attention
We propose a soft attention based model for the task of action recognition in videos.
