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- Alexei A. Efros, Alexander C. Berg, Greg Mori, Jitendra Malik
- ICCV
- 2003
Our goal is to recognize human actions at a distance, at resolutions where a whole person may be, say, 30 pixels tall. We introduce a novel motion descriptor based on optical flow measurements in a… (More)
- Alireza Fathi, Greg Mori
- 2008 IEEE Conference on Computer Vision and…
- 2008
This paper presents a method for human action recognition based on patterns of motion. Previous approaches to action recognition use either local features describing small patches or large-scale… (More)
- Greg Mori, Jitendra Malik
- CVPR
- 2003
In this paper we explore object recognition in clutter. We test our object recognition techniques on Gimpy and EZGimpy, examples of visual CAPTCHAs. A CAPTCHA (“Completely Automated Public Turing… (More)
In this paper we develop an algorithm for action recognition and localization in videos. The algorithm uses a figure-centric visual word representation. Different from previous approaches it does not… (More)
- Greg Mori, Xiaofeng Ren, Alexei A. Efros, Jitendra Malik
- Proceedings of the 2004 IEEE Computer Society…
- 2004
The goal of this work is to detect a human figure image and localize his joints and limbs along with their associated pixel masks. In this work we attempt to tackle this problem in a general setting.… (More)
- Tian Lan, Yang Wang, Weilong Yang, Stephen N. Robinovitch, Greg Mori
- IEEE Transactions on Pattern Analysis and Machine…
- 2012
In this paper, we go beyond recognizing the actions of individuals and focus on group activities. This is motivated from the observation that human actions are rarely performed in isolation; the… (More)
- Payam Sabzmeydani, Greg Mori
- 2007 IEEE Conference on Computer Vision and…
- 2007
In this paper, we address the problem of detecting pedestrians in still images. We introduce an algorithm for learning shapelet features, a set of mid-level features. These features are focused on… (More)
- Greg Mori
- Tenth IEEE International Conference on Computer…
- 2005
In this paper we show how segmentation as preprocessing paradigm can be used to improve the efficiency and accuracy of model search in an image. We operationalize this idea using an over-segmentation… (More)
We propose two new models for human action recognition from video sequences using topic models. Video sequences are represented by a novel "bag-of-words" representation, where each frame corresponds… (More)
We present a discriminatively trained model for joint modelling of object class labels (e.g. “person”, “dog”, “chair”, etc.) and their visual attributes (e.g. “has head”, “furry”, “metal”, etc.). We… (More)