• Publications
  • Influence
Learning to Detect Human-Object Interactions
We study the problem of detecting human-object interactions (HOI) in static images, defined as predicting a human and an object bounding box with an interaction class label that connects them. HOIExpand
  • 99
  • 45
Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks
Since it is difficult to collect face images of the same subject over a long range of age span, most existing face aging methods resort to unpaired datasets to learn age mappings. However, theExpand
  • 20
  • 5
Combining Data-Driven and Model-Driven Methods for Robust Facial Landmark Detection
Facial landmark detection is an important yet challenging task for real-world computer vision applications. This paper proposes an effective and robust approach for facial landmark detection byExpand
  • 21
  • 3
Facial expression recognition and generation using sparse autoencoder
Facial expression recognition has important practical applications. In this paper, we propose a method based on the combination of optical flow and a deep neural network - stacked sparse autoencoderExpand
  • 17
  • 1
Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial Networks
Since it is difficult to collect face images of the same subject over a long range of age span, most existing face aging methods resort to unpaired datasets to learn age mappings for rendering agingExpand
  • 4
  • 1
Age Progression and Regression with Spatial Attention Modules
Age progression and regression refers to aesthetically render-ing a given face image to present effects of face aging and rejuvenation, respectively. Although numerous studies have been conducted inExpand
  • 4
VIDEO ANALYSIS OF SKILL AND TECHNIQUE (VAST): MACHINE LEARNING TO ASSESS SURGEONS PERFORMING ROBOTIC PROSTATECTOMY: PD46‐04
INTRODUCTION AND OBJECTIVES: A surgeon’s technical skill may be a major determinant of patient outcomes. Because robotic surgery can be recorded, computer-vision video analysis of skill and techniqueExpand
  • 1
Joint Iris Segmentation and Localization Using Deep Multi-task Learning Framework
Iris segmentation and localization in non-cooperative environment is challenging due to illumination variations, long distances, moving subjects and limited user cooperation, etc. Traditional methodsExpand
  • 3
ScleraSegNet: an Improved U-Net Model with Attention for Accurate Sclera Segmentation
Accurate sclera segmentation is critical for successful sclera recognition. However, studies on sclera segmentation algorithms are still limited in the literature. In this paper, we propose a novelExpand
  • 3
Reference Guided Face Component Editing
Face portrait editing has achieved great progress in recent years. However, previous methods either 1) operate on pre-defined face attributes, lacking the flexibility of controlling shapes ofExpand