• Publications
  • Influence
Adaptive Color Attributes for Real-Time Visual Tracking
Visual tracking is a challenging problem in computer vision. Most state-of-the-art visual trackers either rely on luminance information or use simple color representations for image description.Expand
  • 1,006
  • 98
Edge-Based Color Constancy
Color constancy is the ability to measure colors of objects independent of the color of the light source. A well-known color constancy method is based on the gray-world assumption which assumes thatExpand
  • 605
  • 94
Learning Color Names for Real-World Applications
Color names are required in real-world applications such as image retrieval and image annotation. Traditionally, they are learned from a collection of labeled color chips. These color chips areExpand
  • 565
  • 50
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many areExpand
  • 181
  • 50
Coloring Local Feature Extraction
Although color is commonly experienced as an indispensable quality in describing the world around us, state-of-the art local feature-based representations arc mostly based on shape description, andExpand
  • 504
  • 46
Invertible Conditional GANs for image editing
Generative Adversarial Networks (GANs) have recently demonstrated to successfully approximate complex data distributions. A relevant extension of this model is conditional GANs (cGANs), where theExpand
  • 303
  • 42
Computational Color Constancy: Survey and Experiments
Computational color constancy is a fundamental prerequisite for many computer vision applications. This paper presents a survey of many recent developments and state-of-the-art methods. SeveralExpand
  • 427
  • 39
Boosting color saliency in image feature detection
The aim of salient feature detection is to find distinctive local events in images. Salient features are generally determined from the local differential structure of images. They focus on theExpand
  • 283
  • 20
Generalized Gamut Mapping using Image Derivative Structures for Color Constancy
The gamut mapping algorithm is one of the most promising methods to achieve computational color constancy. However, so far, gamut mapping algorithms are restricted to the use of pixel values toExpand
  • 169
  • 20
RankIQA: Learning from Rankings for No-Reference Image Quality Assessment
We propose a no-reference image quality assessment (NR-IQA) approach that learns from rankings (RankIQA). To address the problem of limited IQA dataset size, we train a Siamese Network to rank imagesExpand
  • 84
  • 17