5 citations · 10 across the 5 of their papers we have counts for
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cs.CL2021★ 2 cited
Back from the future: bidirectional CTC decoding using future information in speech recognition
Namkyu Jung, Geonmin Kim, Han-Gyu Kim
In this paper, we propose a simple but effective method to decode the output of Connectionist Temporal Classifier (CTC) model using a bi-directional neural language model. The bidi…
cs.CV2021★ 2 cited
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning
Geonmo Gu, Byungsoo Ko, Han-Gyu Kim
One of the main purposes of deep metric learning is to construct an embedding space that has well-generalized embeddings on both seen (training) classes and unseen (test) classes.…
cs.CV2021★ 1 cited
Learning with Memory-based Virtual Classes for Deep Metric Learning
Byungsoo Ko, Geonmo Gu, Han-Gyu Kim
The core of deep metric learning (DML) involves learning visual similarities in high-dimensional embedding space. One of the main challenges is to generalize from seen classes of t…