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- Cheng Li, Kris M. Kitani
- 2013 IEEE Conference on Computer Vision and…
- 2013
We address the task of pixel-level hand detection in the context of ego-centric cameras. Extracting hand regions in ego-centric videos is a critical step for understanding hand-object manipulation… (More)
We address the task of inferring the future actions of people from noisy visual input. We denote this task activity forecasting. To achieve accurate activity forecasting, our approach models the… (More)
- Matej Kristan, Aleš Leonardis, +100 authors Zhiqun He
- 2017 IEEE International Conference on Computer…
- 2017
The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art… (More)
- Xiaofang Wang, Yi Shi, Kris M. Kitani
- ACCV
- 2016
Hashing is one of the most popular and powerful approximate nearest neighbor search techniques for large-scale image retrieval. Most traditional hashing methods first represent images as… (More)
- Dragan Ahmetovic, Cole Gleason, Chengxiong Ruan, Kris M. Kitani, Hironobu Takagi, Chieko Asakawa
- MobileHCI
- 2016
Turn-by-turn navigation is a useful paradigm for assisting people with visual impairments during mobility as it reduces the cognitive load of having to simultaneously sense, localize and plan. To… (More)
- Cheng Li, Kris M. Kitani
- 2013 IEEE International Conference on Computer…
- 2013
Egocentric cameras can be used to benefit such tasks as analyzing fine motor skills, recognizing gestures and learning about hand-object manipulation. To enable such technology, we believe that the… (More)
- Minghuang Ma, Haoqi Fan, Kris M. Kitani
- 2016 IEEE Conference on Computer Vision and…
- 2016
We bring together ideas from recent work on feature design for egocentric action recognition under one framework by exploring the use of deep convolutional neural networks (CNN). Recent work has… (More)
Blind people often need to identify objects around them, from packages of food to items of clothing. Automatic object recognition continues to provide limited assistance in such tasks because models… (More)
Maximum entropy inverse optimal control (MaxEnt IOC) is an effective means of discovering the underlying cost function of demonstrated human activity and can be used to predict human behavior over… (More)
- Nicholas Rhinehart, Kris M. Kitani
- 2017 IEEE International Conference on Computer…
- 2017
We address the problem of incrementally modeling and forecasting long-term goals of a first-person camera wearer: what the user will do, where they will go, and what goal they seek. In contrast to… (More)