activity
20162019
most citedFine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories

14 citations · 20 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV20196 cited

Understanding Beauty via Deep Facial Features

Xudong Liu, Tao Li, Hao Peng +3

The concept of beauty has been debated by philosophers and psychologists for centuries, but most definitions are subjective and metaphysical, and deficit in accuracy, generality, a…

cs.SD2018

Investigation of Using Disentangled and Interpretable Representations for One-shot Cross-lingual Voice Conversion

Seyed Hamidreza Mohammadi, Taehwan Kim

We study the problem of cross-lingual voice conversion in non-parallel speech corpora and one-shot learning setting. Most prior work require either parallel speech corpora or enoug…

cs.CV2018

Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention

Chao Yang, Taehwan Kim, Ruizhe Wang +2

Image translation between two domains is a class of problems aiming to learn mapping from an input image in the source domain to an output image in the target domain. It has been a…

cs.IR201714 cited

Fine-Grained Retrieval of Sports Plays using Tree-Based Alignment of Trajectories

Long Sha, Patrick Lucey, Stephan Zheng +3

We propose a novel method for effective retrieval of multi-agent spatiotemporal tracking data. Retrieval of spatiotemporal tracking data offers several unique challenges compared t…

cs.CL2016

Signer-independent Fingerspelling Recognition with Deep Neural Network Adaptation

Taehwan Kim, Weiran Wang, Hao Tang +1

We study the problem of recognition of fingerspelled letter sequences in American Sign Language in a signer-independent setting. Fingerspelled sequences are both challenging and im…