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Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

• Ranjay Krishna, Yuke Zhu, +9 authors Li Fei-Fei
• International Journal of Computer Vision
• 2016

Despite progress in perceptual tasks such as image classification, computers still perform poorly on cognitive tasks such as image description and question answering. Cognition is core to tasks that… (More)

Visual7W: Grounded Question Answering in Images

• Yuke Zhu, Oliver Groth, Michael S. Bernstein, Li Fei-Fei
• 2016 IEEE Conference on Computer Vision and…
• 2016

We have seen great progress in basic perceptual tasks such as object recognition and detection. However, AI models still fail to match humans in high-level vision tasks due to the lack of capacities… (More)

Target-driven visual navigation in indoor scenes using deep reinforcement learning

• Yuke Zhu, Roozbeh Mottaghi, +4 authors Ali Farhadi
• 2017 IEEE International Conference on Robotics…
• 2017

Two less addressed issues of deep reinforcement learning are (1) lack of generalization capability to new goals, and (2) data inefficiency, i.e., the model requires several (and often costly)… (More)

Scene Graph Generation by Iterative Message Passing

• Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei
• 2017 IEEE Conference on Computer Vision and…
• 2017

Understanding a visual scene goes beyond recognizing individual objects in isolation. Relationships between objects also constitute rich semantic information about the scene. In this work, we… (More)

Reasoning about Object Affordances in a Knowledge Base Representation

• Yuke Zhu, Alireza Fathi, Li Fei-Fei
• ECCV
• 2014

Reasoning about objects and their affordances is a fundamental problem for visual intelligence. Most of the previous work casts this problem as a classification task where separate classifiers are… (More)

Building a Large-scale Multimodal Knowledge Base for Visual Question Answering

• Yuke Zhu, Ce Zhang, Christopher Ré, Li Fei-Fei
• ArXiv
• 2015

Visual Semantic Planning Using Deep Successor Representations

• Yuke Zhu, Daniel Gordon, +5 authors Ali Farhadi
• 2017 IEEE International Conference on Computer…
• 2017

A crucial capability of real-world intelligent agents is their ability to plan a sequence of actions to achieve their goals in the visual world. In this work, we address the problem of visual… (More)

Knowledge Acquisition for Visual Question Answering via Iterative Querying

• Yuke Zhu, Joseph J. Lim, Li Fei-Fei
• 2017 IEEE Conference on Computer Vision and…
• 2017

Humans possess an extraordinary ability to learn new skills and new knowledge for problem solving. Such learning ability is also required by an automatic model to deal with arbitrary, open-ended… (More)

Neural Task Programming: Learning to Generalize Across Hierarchical Tasks

• Danfei Xu, Suraj Nair, +4 authors Silvio Savarese
• ArXiv
• 2017

In this work, we propose a novel robot learning framework called Neural Task Programming (NTP), which bridges the idea of few-shot learning from demonstration and neural program induction. NTP takes… (More)

AI2-THOR: An Interactive 3D Environment for Visual AI

• Eric Kolve, Roozbeh Mottaghi, Daniel Gordon, Yuke Zhu, Abhinav Gupta, Ali Farhadi
• ArXiv
• 2017

We introduce The House Of inteRactions (THOR), a framework for visual AI research, available at http:// ai2thor.allenai.org. AI2-THOR consists of near photo-realistic 3D indoor scenes, where AI… (More)

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