activity
20212023
most citedModeling Intensification for Sign Language Generation: A Computational Approach

8 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023

Multimodal Contextualized Plan Prediction for Embodied Task Completion

Mert İnan, Aishwarya Padmakumar, Spandana Gella +2

Task planning is an important component of traditional robotics systems enabling robots to compose fine grained skills to perform more complex tasks. Recent work building systems f…

cs.CL2022

Zero-shot Cross-Linguistic Learning of Event Semantics

Malihe Alikhani, Thomas Kober, Bashar Alhafni +6

Typologically diverse languages offer systems of lexical and grammatical aspect that allow speakers to focus on facets of event structure in ways that comport with the specific com…

cs.CL2022★ 8 cited

Modeling Intensification for Sign Language Generation: A Computational Approach

Mert İnan, Yang Zhong, Sabit Hassan +2

End-to-end sign language generation models do not accurately represent the prosody in sign language. A lack of temporal and spatial variations leads to poor-quality generated prese…

cs.CL2022★ 2 cited

Including Facial Expressions in Contextual Embeddings for Sign Language Generation

Carla Viegas, Mert İnan, Lorna Quandt +1

State-of-the-art sign language generation frameworks lack expressivity and naturalness which is the result of only focusing manual signs, neglecting the affective, grammatical and…

cs.CL2021★ 1 cited

COSMic: A Coherence-Aware Generation Metric for Image Descriptions

Mert İnan, Piyush Sharma, Baber Khalid +3

Developers of text generation models rely on automated evaluation metrics as a stand-in for slow and expensive manual evaluations. However, image captioning metrics have struggled…