research
∙
12/15/2021
DG2: Data Augmentation Through Document Grounded Dialogue Generation
Collecting data for training dialog systems can be extremely expensive d...
share
research
∙
09/26/2021
MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents
We propose MultiDoc2Dial, a new task and dataset on modeling goal-orient...
research
∙
04/09/2021
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks
Explaining neural network models is important for increasing their trust...
research
∙
11/12/2020
doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset
We introduce doc2dial, a new dataset of goal-oriented dialogues that are...
research
∙
07/27/2020
Learning Lane Graph Representations for Motion Forecasting
We propose a motion forecasting model that exploits a novel structured m...
research
∙
06/03/2020
MultiNet: Multiclass Multistage Multimodal Motion Prediction
One of the critical pieces of the self-driving puzzle is understanding t...
research
∙
11/10/2019
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries
This paper explores the task of interactive image retrieval using natura...
research
∙
10/17/2019
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction
Self-driving vehicles plan around both static and dynamic objects, apply...
research
∙
12/10/2018
Chat-crowd: A Dialog-based Platform for Visual Layout Composition
In this paper we introduce Chat-crowd, an interactive environment for vi...
research
∙
09/04/2018
Text2Scene: Generating Abstract Scenes from Textual Descriptions
In this paper, we propose an end-to-end model that learns to interpret n...
research
∙
03/31/2018
A Subpixel Registration Algorithm for Low PSNR Images
This paper presents a fast algorithm for obtaining high-accuracy subpixe...
research
∙
02/12/2018