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20212024
most citedDense Semantic Contrast for Self-Supervised Visual Representation Learning

4 citations · 5 across the 4 of their papers we have counts for

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5 papers

cs.CV2024

AnyDesign: Versatile Area Fashion Editing via Mask-Free Diffusion

Yunfang Niu, Dong Yi, Lingxiang Wu +2

Fashion image editing aims to modify a person's appearance based on a given instruction. Existing methods require auxiliary tools like segmenters and keypoint extractors, lacking a…

eess.AS2023

Multi-objective Progressive Clustering for Semi-supervised Domain Adaptation in Speaker Verification

Ze Li, Yuke Lin, Ning Jiang +4

Utilizing the pseudo-labeling algorithm with large-scale unlabeled data becomes crucial for semi-supervised domain adaptation in speaker verification tasks. In this paper, we propo…

eess.AS2023★ 1 cited

VoxBlink: A Large Scale Speaker Verification Dataset on Camera

Yuke Lin, Xiaoyi Qin, Guoqing Zhao +4

In this paper, we introduce a large-scale and high-quality audio-visual speaker verification dataset, named VoxBlink. We propose an innovative and robust automatic audio-visual dat…

cs.SD2022

Robust MelGAN: A robust universal neural vocoder for high-fidelity TTS

Kun Song, Jian Cong, Xinsheng Wang +4

In current two-stage neural text-to-speech (TTS) paradigm, it is ideal to have a universal neural vocoder, once trained, which is robust to imperfect mel-spectrogram predicted from…

cs.CV2021★ 4 cited

Dense Semantic Contrast for Self-Supervised Visual Representation Learning

Xiaoni Li, Yu Zhou, Yifei Zhang +5

Self-supervised representation learning for visual pre-training has achieved remarkable success with sample (instance or pixel) discrimination and semantics discovery of instance,…