most citedGeneralizing Multimodal Pre-training into Multilingual via Language Acquisition

5 citations · 9 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023

Explore and Tell: Embodied Visual Captioning in 3D Environments

Anwen Hu, Shizhe Chen, Liang Zhang +1

While current visual captioning models have achieved impressive performance, they often assume that the image is well-captured and provides a complete view of the scene. In real-wo…

cs.CV2023

Movie101: A New Movie Understanding Benchmark

Zihao Yue, Qi Zhang, Anwen Hu +3

To help the visually impaired enjoy movies, automatic movie narrating systems are expected to narrate accurate, coherent, and role-aware plots when there are no speaking lines of a…

cs.CL2023★ 1 cited

Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation

Zihao Yue, Anwen Hu, Liang Zhang +1

Image captioning aims to describe visual content in natural language. As 'a picture is worth a thousand words', there could be various correct descriptions for an image. However, w…

cs.CV2023

InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation

Anwen Hu, Shizhe Chen, Liang Zhang +1

Automatic image captioning evaluation is critical for benchmarking and promoting advances in image captioning research. Existing metrics only provide a single score to measure capt…

cs.CV2023★ 1 cited

Accommodating Audio Modality in CLIP for Multimodal Processing

Ludan Ruan, Anwen Hu, Yuqing Song +3

Multimodal processing has attracted much attention lately especially with the success of pre-training. However, the exploration has mainly focused on vision-language pre-training,…

cs.CL2022★ 5 cited

Generalizing Multimodal Pre-training into Multilingual via Language Acquisition

Liang Zhang, Anwen Hu, Qin Jin

English-based Vision-Language Pre-training (VLP) has achieved great success in various downstream tasks. Some efforts have been taken to generalize this success to non-English lang…

cs.CL2022★ 2 cited

A Token-level Contrastive Framework for Sign Language Translation

Biao Fu, Peigen Ye, Liang Zhang +4

Sign Language Translation (SLT) is a promising technology to bridge the communication gap between the deaf and the hearing people. Recently, researchers have adopted Neural Machine…