• Publications
  • Influence
Microsoft COCO: Common Objects in Context
We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question of sceneExpand
  • 9,652
  • 1942
Object Detection with Discriminatively Trained Part Based Models
We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-of-the-art results inExpand
  • 8,188
  • 1416
Face detection, pose estimation, and landmark localization in the wild
We present a unified model for face detection, pose estimation, and landmark estimation in real-world, cluttered images. Our model is based on a mixtures of trees with a shared pool of parts; weExpand
  • 1,901
  • 348
A discriminatively trained, multiscale, deformable part model
This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a two-fold improvement in average precision over the best performance inExpand
  • 2,289
  • 278
Articulated pose estimation with flexible mixtures-of-parts
We describe a method for human pose estimation in static images based on a novel representation of part models. Notably, we do not use articulated limb parts, but rather capture orientation with aExpand
  • 1,050
  • 196
Articulated Human Detection with Flexible Mixtures of Parts
  • Y. Yang, D. Ramanan
  • Medicine, Computer Science
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1 December 2013
We describe a method for articulated human detection and human pose estimation in static images based on a new representation of deformable part models. Rather than modeling articulation using aExpand
  • 573
  • 130
Globally-optimal greedy algorithms for tracking a variable number of objects
We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as well as their birthExpand
  • 695
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Learning to parse images of articulated bodies
We consider the machine vision task of pose estimation from static images, specifically for the case of articulated objects. This problem is hard because of the large number of degrees of freedom toExpand
  • 513
  • 89
Finding Tiny Faces
  • Peiyun Hu, D. Ramanan
  • Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 13 December 2016
Though tremendous strides have been made in object recognition, one of the remaining open challenges is detecting small objects. We explore three aspects of the problem in the context of findingExpand
  • 382
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Detecting activities of daily living in first-person camera views
We present a novel dataset and novel algorithms for the problem of detecting activities of daily living (ADL) in firstperson camera views. We have collected a dataset of 1 million frames of dozens ofExpand
  • 563
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