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Computer Vision: A Modern Approach
TLDR
Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance and describes numerous important application areas such as image based rendering and digital libraries.
Describing objects by their attributes
TLDR
This paper proposes to shift the goal of recognition from naming to describing, and introduces a novel feature selection method for learning attributes that generalize well across categories.
View on IEEE
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
TLDR
This work shows how to cluster words that individually are difficult to predict into clusters that can be predicted well, and cannot predict the distinction between train and locomotive using the current set of features, but can predict the underlying concept.
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Matching Words and Pictures
TLDR
A new approach for modeling multi-modal data sets, focusing on the specific case of segmented images with associated text, is presented, and a number of models for the joint distribution of image regions and words are developed, including several which explicitly learn the correspondence between regions and Words.
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Recovering the spatial layout of cluttered rooms
TLDR
This paper introduces a structured learning algorithm that chooses the set of parameters to minimize error, based on global perspective cues, and gains robustness to clutter by modeling the global room space with a parameteric 3D “box” and by iteratively localizing clutter and refitting the box.
View on IEEE
Every Picture Tells a Story: Generating Sentences from Images
TLDR
A system that can compute a score linking an image to a sentence, which can be used to attach a descriptive sentence to a given image, or to obtain images that illustrate a given sentence.
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A novel algorithm for color constancy
  • D. Forsyth
  • Computer Science
    International Journal of Computer Vision
  • 1 September 1990
TLDR
The experimental work shows that for good constancy, a color constancy system will need to adjust the gain of the receptors it employs in a fashion analagous to adaptation in humans.
View on Springer
Interactive motion generation from examples
TLDR
This paper presents a framework that generates human motions by cutting and pasting motion capture data and can easily synthesize multiple motions that interact with each other using constraints, allowing a variety of choices for the animator.
View on ACM
Tracking People by Learning Their Appearance
TLDR
This work develops a completely automatic system that works in two stages; it first builds a model of appearance of each person in a video and then it tracks by detecting those models in each frame ("tracking by model-building and detection").
View on IEEE
Learning Type-Aware Embeddings for Fashion Compatibility
TLDR
This paper presents an approach to learning an image embedding that respects item type, and jointly learns notions of item similarity and compatibility in an end-to-end model.
View PDF on arXiv
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