research
∙
04/14/2023
One-Shot Stylization for Full-Body Human Images
The goal of human stylization is to transfer full-body human photos to a...
share
research
∙
11/16/2022
Robust Online Video Instance Segmentation with Track Queries
Recently, transformer-based methods have achieved impressive results on ...
research
∙
10/12/2021
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents
Communication between embodied AI agents has received increasing attenti...
research
∙
04/14/2021
GridToPix: Training Embodied Agents with Minimal Supervision
While deep reinforcement learning (RL) promises freedom from hand-labele...
research
∙
04/14/2021
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing
This paper proposes a flexible person generation framework called Dressi...
research
∙
07/23/2020
Bridging the Imitation Gap by Adaptive Insubordination
Why do agents often obtain better reinforcement learning policies when i...
research
∙
07/09/2020
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks
Autonomous agents must learn to collaborate. It is not scalable to devel...
research
∙
04/01/2020
Memory-Efficient Incremental Learning Through Feature Adaptation
In this work we introduce an approach for incremental learning, which pr...
research
∙
05/28/2019
Union Visual Translation Embedding for Visual Relationship Detection and Scene Graph Generation
Relations amongst entities play a central role in image understanding. D...
research
∙
04/11/2019
Two Body Problem: Collaborative Visual Task Completion
Collaboration is a necessary skill to perform tasks that are beyond one ...
research
∙
11/17/2018
Open-vocabulary Phrase Detection
Most existing work that grounds natural language phrases in images start...
research
∙
11/01/2018
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
Accurately answering a question about a given image requires combining o...
research
∙
03/29/2018
Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering
Human conversation is a complex mechanism with subtle nuances. It is hen...
research
∙
01/19/2018
Piggyback: Adding Multiple Tasks to a Single, Fixed Network by Learning to Mask
This work presents a method for adding multiple tasks to a single, fixed...
research
∙
11/22/2017
Conditional Image-Text Embedding Networks
This paper presents an approach for grounding phrases in images which jo...
research
∙
11/19/2017
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
This paper explores image caption generation using conditional variation...
research
∙
11/15/2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
This paper presents a method for adding multiple tasks to a single deep ...
research
∙
04/11/2017
Learning Two-Branch Neural Networks for Image-Text Matching Tasks
This paper investigates two-branch neural networks for image-text matchi...
research
∙
03/18/2017
Recurrent Models for Situation Recognition
This work proposes Recurrent Neural Network (RNN) models to predict stru...
research
∙
11/21/2016
Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues
This paper presents a framework for localization or grounding of phrases...
research
∙
11/01/2016
Solving Visual Madlibs with Multiple Cues
This paper presents an approach for answering fill-in-the-blank multiple...
research
∙
04/16/2016
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering
This paper proposes deep convolutional network models that utilize local...
research
∙
12/24/2015
Adaptive Object Detection Using Adjacency and Zoom Prediction
State-of-the-art object detection systems rely on an accurate set of reg...
research
∙
11/19/2015
Learning Deep Structure-Preserving Image-Text Embeddings
This paper proposes a method for learning joint embeddings of images and...
research
∙
05/11/2015
Training Deeper Convolutional Networks with Deep Supervision
One of the most promising ways of improving the performance of deep conv...
research
∙
12/18/2012
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics
This paper investigates the problem of modeling Internet images and asso...
research
∙
12/07/2011