A High Performance CRF Model for Clothes Parsing
By Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun. 2014
96 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Xiaogang Wang
- Ming-Hsuan Yang
- Dacheng Tao
- Jiashi Feng
- Yi Yang
- Shuicheng Yan
- Xiaodan Liang
Citations in the corpus
- Semantic Object Parsing with Local-Global Long Short-Term Memory (2015, background): “Semantic Object Parsing: There have been increasing research works in the semantic object parsing problem including the general object parsing [31][33][24][4][11] and human parsing [37][36][6][32][25][21].”
- Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing (2017, background): “The recent progress on human parsing [5, 28, 31, 30, 9, 25, 19, 17] has been achieved by improving the feature representations using convolutional neural networks and recurrent neural networks.”
- Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark (2018, background): “The recent progress in human parsing [7], [13], [14], [17], [19], [20], [21], [22] has been achieved by improving the feature representations using CNNs and recurrent neural networks.”
- Instance-level Human Parsing via Part Grouping Network (2018, background): “Human Parsing Recently, many research efforts have been devoted to human parsing [23,42,41,35,26,39,5,11] for advancing human-centric analysis research.”
- DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations (2016, background): “Some other datasets in the vision community were dedicated to the tasks of clothes segmentation, parsing [32, 31, 23, 16, 33] and fashion modeling [24, 30], while DeepFashion focuses on clothes recognition and retrieval.”
- Semantic Object Parsing with Graph LSTM (2016, background): “Semantic Object Parsing: There has been increasing research interest on the semantic object parsing problem including the general object parsing [21][12][30][20][31], person part segmentation [9][8] and human parsing [23][4][32][33][34][35][36].”