activity
20162023
most citedDiscriminative Radial Domain Adaptation

26 citations · 58 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL2023

Whitening-based Contrastive Learning of Sentence Embeddings

Wenjie Zhuo, Yifan Sun, Xiaohan Wang +2

This paper presents a whitening-based contrastive learning method for sentence embedding learning (WhitenedCSE), which combines contrastive learning with a novel shuffled group whi…

cs.CV2023

Gloss-Free End-to-End Sign Language Translation

Kezhou Lin, Xiaohan Wang, Linchao Zhu +3

In this paper, we tackle the problem of sign language translation (SLT) without gloss annotations. Although intermediate representation like gloss has been proven effective, gloss…

cs.CV20235 cited

Efficient Multimodal Fusion via Interactive Prompting

Yaowei Li, Ruijie Quan, Linchao Zhu +1

Large-scale pre-training has brought unimodal fields such as computer vision and natural language processing to a new era. Following this trend, the size of multi-modal learning mo…

cs.CV202324 cited

DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Wei Li, Linchao Zhu, Longyin Wen +1

Large-scale pre-trained multi-modal models (e.g., CLIP) demonstrate strong zero-shot transfer capability in many discriminative tasks. Their adaptation to zero-shot image-condition…

cs.LG202326 cited

Discriminative Radial Domain Adaptation

Zenan Huang, Jun Wen, Siheng Chen +2

Domain adaptation methods reduce domain shift typically by learning domain-invariant features. Most existing methods are built on distribution matching, e.g., adversarial domain ad…

cs.CV20221 cited

AFE-CNN: 3D Skeleton-based Action Recognition with Action Feature Enhancement

Shannan Guan, Haiyan Lu, Linchao Zhu +1

Existing 3D skeleton-based action recognition approaches reach impressive performance by encoding handcrafted action features to image format and decoding by CNNs. However, such me…