Oscar Koller
Microsoft (United Kingdom)(GB)
Publications by Year
Research Areas
Hand Gesture Recognition Systems, Hearing Impairment and Communication, Human Pose and Action Recognition, Gait Recognition and Analysis, Natural Language Processing Techniques
Most-Cited Works
- → Neural Sign Language Translation(2018)682 cited
- → Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers(2015)494 cited
- → SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition(2017)361 cited
- → Sign Language Recognition, Generation, and Translation(2019)359 cited
- → Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos(2019)328 cited
- → Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition(2016)281 cited
- → Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled(2016)276 cited
- → Re-Sign: Re-Aligned End-to-End Sequence Modelling with Deep Recurrent CNN-HMMs(2017)269 cited
- → Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs(2018)197 cited
- → MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language(2018)146 cited