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- 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)
- 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)
- 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)
- Danfei Xu, Yuke Zhu, Christopher Bongsoo 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)
- 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)
- 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)
- Danfei Xu, Suraj Nair, +4 authors Silvio Savarese
- 2018 IEEE International Conference on Robotics…
- 2018
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)
- 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)
- Tian Lan, Yuke Zhu, Amir Roshan Zamir, Silvio Savarese
- 2015 IEEE International Conference on Computer…
- 2015
Realistic videos of human actions exhibit rich spatiotemporal structures at multiple levels of granularity: an action can always be decomposed into multiple finer-grained elements in both space and… (More)
- Oliver Schulte, Hassan Khosravi, Arthur E. Kirkpatrick, Tianxiang Gao, Yuke Zhu
- Machine Learning
- 2013
Class-level models capture relational statistics over object attributes and their connecting links, answering questions such as “what is the percentage of friendship pairs where both friends are… (More)