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Sequential Person Recognition in Photo Albums with a Recurrent Network
Yao Li, Guosheng Lin, Bohan Zhuang +3
Recognizing the identities of people in everyday photos is still a very challenging problem for machine vision, due to non-frontal faces, changes in clothing, location, lighting an…
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin, Anton Milan, Chunhua Shen +1
Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense classification probl…
Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps
Biyun Sheng, Chunhua Shen, Guosheng Lin +3
Crowd counting is an important task in computer vision, which has many applications in video surveillance. Although the regression-based framework has achieved great improvements f…
Exploring Context with Deep Structured models for Semantic Segmentation
Guosheng Lin, Chunhua Shen, Anton van den Hengel +1
State-of-the-art semantic image segmentation methods are mostly based on training deep convolutional neural networks (CNNs). In this work, we proffer to improve semantic segmentati…
Fast Training of Triplet-based Deep Binary Embedding Networks
Bohan Zhuang, Guosheng Lin, Chunhua Shen +1
In this paper, we aim to learn a mapping (or embedding) from images to a compact binary space in which Hamming distances correspond to a ranking measure for the image retrieval tas…
Structured Learning of Binary Codes with Column Generation
Guosheng Lin, Fayao Liu, Chunhua Shen +2
Hashing methods aim to learn a set of hash functions which map the original features to compact binary codes with similarity preserving in the Hamming space. Hashing has proven a v…
Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss
Fayao Liu, Guosheng Lin, Chunhua Shen
Recent works on deep conditional random fields (CRF) have set new records on many vision tasks involving structured predictions. Here we propose a fully-connected deep continuous C…