14 citations · 30 across the 9 of their papers we have counts for
9 papers
TabH2O: A Unified Foundation Model for Tabular Prediction
Pascal Pfeiffer, Dmitry Gordeev, Mathias Müller +6
We present TabH2O, a foundation model for tabular data that performs classification and regression in a single forward pass via in-context learning. TabH2O builds on the TabICL arc…
MultimodalHugs: Enabling Sign Language Processing in Hugging Face
Gerard Sant, Zifan Jiang, Carlos Escolano +4
In recent years, sign language processing (SLP) has gained importance in the general field of Natural Language Processing. However, compared to research on spoken languages, SLP re…
SignCLIP: Connecting Text and Sign Language by Contrastive Learning
Zifan Jiang, Gerard Sant, Amit Moryossef +3
We present SignCLIP, which re-purposes CLIP (Contrastive Language-Image Pretraining) to project spoken language text and sign language videos, two classes of natural languages of d…
Linguistically Motivated Sign Language Segmentation
Amit Moryossef, Zifan Jiang, Mathias Müller +2
Sign language segmentation is a crucial task in sign language processing systems. It enables downstream tasks such as sign recognition, transcription, and machine translation. In t…
An Open-Source Gloss-Based Baseline for Spoken to Signed Language Translation
Amit Moryossef, Mathias Müller, Anne Göhring +3
Sign language translation systems are complex and require many components. As a result, it is very hard to compare methods across publications. We present an open-source implementa…
SLTUNET: A Simple Unified Model for Sign Language Translation
Biao Zhang, Mathias Müller, Rico Sennrich
Despite recent successes with neural models for sign language translation (SLT), translation quality still lags behind spoken languages because of the data scarcity and modality ga…
Considerations for meaningful sign language machine translation based on glosses
Mathias Müller, Zifan Jiang, Amit Moryossef +2
Automatic sign language processing is gaining popularity in Natural Language Processing (NLP) research (Yin et al., 2021). In machine translation (MT) in particular, sign language…
Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting
Zifan Jiang, Amit Moryossef, Mathias Müller +1
This paper presents work on novel machine translation (MT) systems between spoken and signed languages, where signed languages are represented in SignWriting, a sign language writi…
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition
Amit Moryossef, Ioannis Tsochantaridis, Joe Dinn +6
Signed languages are visual languages produced by the movement of the hands, face, and body. In this paper, we evaluate representations based on skeleton poses, as these are explai…