no code implementations • 17 Feb 2024 • Yu Feng, Xing Shi, Mengli Cheng, Yun Xiong
As the task of 2D-to-3D reconstruction has gained significant attention in various real-world scenarios, it becomes crucial to be able to generate high-quality point clouds.
no code implementations • 10 Mar 2023 • Jiaqi Xu, Bo Liu, Yunkuo Chen, Mengli Cheng, Xing Shi
Specifically, we design a Text-Guided MultiWay-Sampler based on adapt-pooling residual mapping and self-attention modules to sample long sequences and fuse multi-modal features, which reduces the computational costs and addresses performance degradation caused by previous samplers.
Ranked #1 on TGIF-Transition on TGIF-QA (using extra training data)
1 code implementation • 26 Sep 2022 • Mengli Cheng, Yue Gao, Guoqiang Liu, Hongsheng Jin, Xiaowen Zhang
We present EasyRec, an easy-to-use, extendable and efficient recommendation framework for building industrial recommendation systems.
no code implementations • 14 Sep 2020 • Chengyu Wang, Mengli Cheng, Xu Hu, Jun Huang
We present EasyASR, a distributed machine learning platform for training and serving large-scale Automatic Speech Recognition (ASR) models, as well as collecting and processing audio data at scale.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
1 code implementation • 9 Sep 2020 • Mengli Cheng, Minghui Qiu, Xing Shi, Jun Huang, Wei. Lin
Existing learning based methods for text labeling task usually require a large amount of labeled examples to train a specific model for each type of document.
no code implementations • 4 Aug 2020 • Mengli Cheng, Chengyu Wang, Xu Hu, Jun Huang, Xiaobo Wang
Building Automatic Speech Recognition (ASR) systems from scratch is significantly challenging, mostly due to the time-consuming and financially-expensive process of annotating a large amount of audio data with transcripts.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 3 May 2018 • Qiangpeng Yang, Mengli Cheng, Wenmeng Zhou, Yan Chen, Minghui Qiu, Wei. Lin, Wei Chu
To solve this problem, we propose a novel end-to-end scene text detector IncepText from an instance-aware segmentation perspective.