40 citations · 59 across the 5 of their papers we have counts for
5 papers
Low-rank Bilinear Pooling for Fine-Grained Classification
Shu Kong, Charless Fowlkes
Pooling second-order local feature statistics to form a high-dimensional bilinear feature has been shown to achieve state-of-the-art performance on a variety of fine-grained classi…
Photo Aesthetics Ranking Network with Attributes and Content Adaptation
Shu Kong, Xiaohui Shen, Zhe Lin +2
Real-world applications could benefit from the ability to automatically generate a fine-grained ranking of photo aesthetics. However, previous methods for image aesthetics analysis…
Learning Multi-target Tracking with Quadratic Object Interactions
Shaofei Wang, Charless C. Fowlkes
We describe a model for multi-target tracking based on associating collections of candidate detections across frames of a video. In order to model pairwise interactions between dif…
Oriented Edge Forests for Boundary Detection
Sam Hallman, Charless C. Fowlkes
We present a simple, efficient model for learning boundary detection based on a random forest classifier. Our approach combines (1) efficient clustering of training examples based…
Tightening MRF Relaxations with Planar Subproblems
Julian Yarkony, Ragib Morshed, Alexander T. Ihler +1
We describe a new technique for computing lower-bounds on the minimum energy configuration of a planar Markov Random Field (MRF). Our method successively adds large numbers of cons…