14 citations · 63 across the 29 of their papers we have counts for
11 papers · 1 filter
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object Segmentation
Zhiwei Hu, Bo Chen, Yuan Gao +2
The task of referring video object segmentation aims to segment the object in the frames of a given video to which the referring expressions refer. Previous methods adopt multi-sta…
Position-Aware Contrastive Alignment for Referring Image Segmentation
Bo Chen, Zhiwei Hu, Zhilong Ji +2
Referring image segmentation aims to segment the target object described by a given natural language expression. Typically, referring expressions contain complex relationships betw…
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
Zixian Guo, Bowen Dong, Zhilong Ji +3
Prompt tuning has been employed as an efficient way to adapt large vision-language pre-trained models (e.g. CLIP) to various downstream tasks in data-limited or label-limited setti…
DSPGAN: a GAN-based universal vocoder for high-fidelity TTS by time-frequency domain supervision from DSP
Kun Song, Yongmao Zhang, Yi Lei +5
Recent development of neural vocoders based on the generative adversarial neural network (GAN) has shown obvious advantages of generating raw waveform conditioned on mel-spectrogra…
1st Place Solutions for UG2+ Challenge 2022 ATMOSPHERIC TURBULENCE MITIGATION
Zhuang Liu, Zhichao Zhao, Ye Yuan +3
In this technical report, we briefly introduce the solution of our team ''summer'' for Atomospheric Turbulence Mitigation in UG+ Challenge in CVPR 2022. In this task, we propos…
1st Place Solutions for the UVO Challenge 2022
Jiajun Zhang, Boyu Chen, Zhilong Ji +2
This paper describes the approach we have taken in the challenge. We still adopted the two-stage scheme same as the last champion, that is, detection first and segmentation followe…
Summary on the ISCSLP 2022 Chinese-English Code-Switching ASR Challenge
Shuhao Deng, Chengfei Li, Jinfeng Bai +6
Code-switching automatic speech recognition becomes one of the most challenging and the most valuable scenarios of automatic speech recognition, due to the code-switching phenomeno…
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition
Bohan Li, Ye Yuan, Dingkang Liang +5
Recently, most handwritten mathematical expression recognition (HMER) methods adopt the encoder-decoder networks, which directly predict the markup sequences from formula images wi…
Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks
Yabo Zhang, Mingshuai Yao, Yuxiang Wei +3
One-shot generative domain adaption aims to transfer a pre-trained generator on one domain to a new domain using one reference image only. However, it remains very challenging for…
TALCS: An Open-Source Mandarin-English Code-Switching Corpus and a Speech Recognition Baseline
Chengfei Li, Shuhao Deng, Yaoping Wang +4
This paper introduces a new corpus of Mandarin-English code-switching speech recognition--TALCS corpus, suitable for training and evaluating code-switching speech recognition syste…
BERT-LID: Leveraging BERT to Improve Spoken Language Identification
Yuting Nie, Junhong Zhao, Wei-Qiang Zhang +1
Language identification is the task of automatically determining the identity of a language conveyed by a spoken segment. It has a profound impact on the multilingual interoperabil…