activity
20202025
most citedSignBERT+: Hand-model-aware Self-supervised Pre-training for Sign Language Understanding

137 citations · 328 across the 15 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 1 cited

PersonMAE: Person Re-Identification Pre-Training with Masked AutoEncoders

Hezhen Hu, Xiaoyi Dong, Jianmin Bao +4

Pre-training is playing an increasingly important role in learning generic feature representation for Person Re-identification (ReID). We argue that a high-quality ReID representat…

cs.CV2023★ 2 cited

Sign Language Translation with Iterative Prototype

Huijie Yao, Wengang Zhou, Hao Feng +3

This paper presents IP-SLT, a simple yet effective framework for sign language translation (SLT). Our IP-SLT adopts a recurrent structure and enhances the semantic representation (…

cs.CV2023★ 1 cited

Exploiting Spatial-Temporal Context for Interacting Hand Reconstruction on Monocular RGB Video

Weichao Zhao, Hezhen Hu, Wengang Zhou +2

Reconstructing interacting hands from monocular RGB data is a challenging task, as it involves many interfering factors, e.g. self- and mutual occlusion and similar textures. Previ…

cs.CV2023★ 137 cited

SignBERT+: Hand-model-aware Self-supervised Pre-training for Sign Language Understanding

Hezhen Hu, Weichao Zhao, Wengang Zhou +1

Hand gesture serves as a crucial role during the expression of sign language. Current deep learning based methods for sign language understanding (SLU) are prone to over-fitting du…

cs.CV2023★ 4 cited

BEST: BERT Pre-Training for Sign Language Recognition with Coupling Tokenization

Weichao Zhao, Hezhen Hu, Wengang Zhou +2

In this work, we are dedicated to leveraging the BERT pre-training success and modeling the domain-specific statistics to fertilize the sign language recognition~(SLR) model. Consi…

cs.CV2023★ 5 cited

DIRE for Diffusion-Generated Image Detection

Zhendong Wang, Jianmin Bao, Wengang Zhou +4

Diffusion models have shown remarkable success in visual synthesis, but have also raised concerns about potential abuse for malicious purposes. In this paper, we seek to build a de…