8 citations · 16 across the 5 of their papers we have counts for
5 papers
Multiclass Semantic Segmentation to Identify Anatomical Sub-Regions of Brain and Measure Neuronal Health in Parkinson's Disease
Hosein Barzekar, Hai Ngu, Han Hui Lin +6
Automated segmentation of anatomical sub-regions with high precision has become a necessity to enable the quantification and characterization of cells/ tissues in histology images.…
Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt
Hangyu Lin, Yanwei Fu, Yu-Gang Jiang +1
Previous researches of sketches often considered sketches in pixel format and leveraged CNN based models in the sketch understanding. Fundamentally, a sketch is stored as a sequenc…
Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin Softmax
Peng Lu, Gao Huang, Hangyu Lin +3
This paper proposes a novel approach for Sketch-Based Image Retrieval (SBIR), for which the key is to bridge the gap between sketches and photos in terms of the data representation…
Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network
Peng Lu, Hangyu Lin, Yanwei Fu +3
Sketch has been employed as an effective communicative tool to express the abstract and intuitive meanings of object. Recognizing the free-hand sketch drawing is extremely useful i…
Verb Pattern: A Probabilistic Semantic Representation on Verbs
Wanyun Cui, Xiyou Zhou, Hangyu Lin +4
Verbs are important in semantic understanding of natural language. Traditional verb representations, such as FrameNet, PropBank, VerbNet, focus on verbs' roles. These roles are too…