41 citations · 74 across the 7 of their papers we have counts for
7 papers
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…
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…
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…
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…
Lexicon-Free Fingerspelling Recognition from Video: Data, Models, and Signer Adaptation
Taehwan Kim, Jonathan Keane, Weiran Wang +5
We study the problem of recognizing video sequences of fingerspelled letters in American Sign Language (ASL). Fingerspelling comprises a significant but relatively understudied par…
American Sign Language fingerspelling recognition from video: Methods for unrestricted recognition and signer-independence
Taehwan Kim
In this thesis, we study the problem of recognizing video sequences of fingerspelled letters in American Sign Language (ASL). Fingerspelling comprises a significant but relatively…
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…