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Deep Convolutional Neural Fields for Depth Estimation from a Single Image
Fayao Liu, Chunhua Shen, Guosheng Lin
We consider the problem of depth estimation from a single monocular image in this work. It is a challenging task as no reliable depth cues are available, e.g., stereo correspondenc…
Supervised Hashing Using Graph Cuts and Boosted Decision Trees
Guosheng Lin, Chunhua Shen, Anton van den Hengel
Embedding image features into a binary Hamming space can improve both the speed and accuracy of large-scale query-by-example image retrieval systems. Supervised hashing aims to map…
Optimizing Ranking Measures for Compact Binary Code Learning
Guosheng Lin, Chunhua Shen, Jianxin Wu
Hashing has proven a valuable tool for large-scale information retrieval. Despite much success, existing hashing methods optimize over simple objectives such as the reconstruction…
Fast Supervised Hashing with Decision Trees for High-Dimensional Data
Guosheng Lin, Chunhua Shen, Qinfeng Shi +2
Supervised hashing aims to map the original features to compact binary codes that are able to preserve label based similarity in the Hamming space. Non-linear hash functions have d…