no code implementations • ACL 2022 • Ling.Yu Zhu, Zhengkun Zhang, Jun Wang, Hongbin Wang, Haiying Wu, Zhenglu Yang
Empathetic dialogue assembles emotion understanding, feeling projection, and appropriate response generation.
no code implementations • CCL 2022 • Fangyuan Zhu, Zhiqiang Ma, Zhiqiang Liu, Caijilahu Bao, Hongbin Wang
“说话人特征提取模型提取到的说话人特征之间区分性低, 使得蒙古语声学模型无法学习到区分性信息, 导致模型无法适应不同说话人。提出一种基于注意力的说话人自适应方法, 方法引入神经图灵机进行自适应, 增加记忆模块存放说话人特征, 采用注意力机制计算记忆模块中说话人特征与当前语音说话人特征的相似权重矩阵, 通过权重矩阵重新组合成说话人特征s-vector, 进而提高说话人特征之间的区分性。在IMUT-MCT数据集上, 进行说话人特征提取方法的消融实验、模型自适应实验和案例分析。实验结果表明, 对比不同说话人特征s-vector、i-vector与d-vector, s-vector比其他两种方法的SER和WER分别降低4. 96%、1. 08%;在不同的蒙古语声学模型上进行比较, 提出的方法相对于基线均有性能提升。”
no code implementations • Findings (EMNLP) 2021 • Shichao Wang, Xiangrui Cai, Hongbin Wang, Xiaojie Yuan
We also introduce a regularization of attention weights to leverage the alignment between events and local circumstances.
no code implementations • 22 Sep 2023 • Andrew Alexander, Hongbin Wang
We then performed various machine-learning classifications based on these embeddings in order to understand the role of hate speech/misinformation in various communities.
no code implementations • 28 Jun 2023 • Wei Wang, Kaigui Xie, Hongbin Wang, Xingzhe Hou, Tao Chen, Hongzhou Chen, Yufei He
In this paper, we focus on the interdependent electric power and natural gas distribution systems (IENDS) and propose a comprehensive "supply - demand - repair" strategy to help the IENDS tide over the emergency periods after disasters by coordinating various emergency resources.
no code implementations • CVPR 2023 • Yu Wang, Yadong Li, Hongbin Wang
In this paper, we hypothesize that snippets with similar representations should be considered as the same action class despite the absence of supervision signals on each snippet.
Multiple Instance Learning Weakly Supervised Action Localization +2
no code implementations • 21 Nov 2022 • Bo Yan, XingRan Zhao, Yadong Li, Hongbin Wang
And in order to make the most of visual inductive priors, we designed a task-specific inference processing strategy.
2 code implementations • 7 Nov 2022 • Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He
While numerous solutions have been proposed for this problem in the past, they are usually not compatible with low-power mobile NPUs having many computational and memory constraints.
no code implementations • 7 Nov 2022 • Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Guangjing Yan, Brian Lee, Lei Fei, Huaijin Chen, Hyebin Cho, Byeongjun Kwon, Munchurl Kim, Mingyang Qian, Huixin Ma, Yanan Li, Xiaotao Wang, Lei Lei
In this Mobile AI challenge, the target was to develop an efficient end-to-end AI-based bokeh effect rendering approach that can run on modern smartphone GPUs using TensorFlow Lite.
1 code implementation • 16 Oct 2022 • Jianing Wang, Wenkang Huang, Qiuhui Shi, Hongbin Wang, Minghui Qiu, Xiang Li, Ming Gao
In this paper, to address these problems, we introduce a seminal knowledge prompting paradigm and further propose a knowledge-prompting-based PLM framework KP-PLM.
2 code implementations • 28 Sep 2022 • Bo Yan, Fengliang Qi, Zhuang Li, Yadong Li, Hongbin Wang
The goal of ACM MMSports2022 DeepSportRadar Instance Segmentation Challenge is to tackle the segmentation of individual humans including players, coaches and referees on a basketball court.
no code implementations • 28 Jun 2022 • Bo Yan, Leilei Cao, Zhuang Li, Hongbin Wang
Finally, our approach achieves 63. 008\%AP@0. 50:0. 95 on the test set of CVPR2022 AVA Challenge.
no code implementations • 24 Jun 2022 • Leilei Cao, Zhuang Li, Bo Yan, Feng Zhang, Fengliang Qi, Yuchen Hu, Hongbin Wang
The referring video object segmentation task (RVOS) aims to segment object instances in a given video referred by a language expression in all video frames.
no code implementations • 24 Jun 2022 • Bo Yan, Leilei Cao, Fengliang Qi, Hongbin Wang
Firstly, we designed a context branch based on channel splitting network with transformer to obtain sufficient context information.
no code implementations • 25 May 2022 • Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Aleš Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Fangya Li, Ruipeng Gang, Chenghua Li, Jinjing Li, Sai Ma, Chenming Liu, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park
The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i. e. solutions can not exceed a given number of operations).
1 code implementation • 6 May 2022 • Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao
Extractive Question Answering (EQA) is one of the most important tasks in Machine Reading Comprehension (MRC), which can be solved by fine-tuning the span selecting heads of Pre-trained Language Models (PLMs).
no code implementations • 20 Apr 2022 • Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang
In this paper, we propose a lightweight neural network called Efficient Attention-and-alignment-guided Progressive Network (EAPNet) for the challenge NTIRE 2022 HDR Track 1 and Track 2.
no code implementations • 27 Jan 2022 • Chunyong Yang, PengFei Liu, Yanli Chen, Hongbin Wang, Min Liu
The end to end TTS system is VITS, and the pre-training self-supervised model is wav2vec 2. 0.
no code implementations • 2 Dec 2021 • Bo Yan, Leilei Cao, Hongbin Wang
Based on VSPW, we design a Temporal Bilateral Network with Vision Transformer.
no code implementations • 2 Dec 2021 • Bo Yan, Fengliang Qi, Leilei Cao, Hongbin Wang
Finally, our approach can achieve 40. 2\%AP@0. 50:0. 95 on the test set of ICCV2021 VIPriors instance segmentation challenge.
no code implementations • 2 Dec 2021 • Fengliang Qi, Bo Yan, Leilei Cao, Hongbin Wang
Person re-identification (re-ID) aims to identify the same person of interest across non-overlapping capturing cameras, which plays an important role in visual surveillance applications and computer vision research areas.
1 code implementation • 9 Sep 2021 • Zhi Qiao, Yu Zhou, Jin Wei, Wei Wang, Yuan Zhang, Ning Jiang, Hongbin Wang, Weiping Wang
In this paper, we propose a Parallel, Iterative and Mimicking Network (PIMNet) to balance accuracy and efficiency.
no code implementations • 8 Sep 2021 • Xugong Qin, Yu Zhou, Youhui Guo, Dayan Wu, Zhihong Tian, Ning Jiang, Hongbin Wang, Weiping Wang
We propose to use an MLP decoder instead of the "deconv-conv" decoder in the mask head, which alleviates the issue and promotes robustness significantly.
no code implementations • Findings (ACL) 2021 • Shuang Peng, Mengdi Zhou, Minghui Yang, Haitao Mi, Shaosheng Cao, Zujie Wen, Teng Xu, Hongbin Wang, Lei Liu
In the Chinese medical insurance industry, the assessor's role is essential and requires significant efforts to converse with the claimant.
no code implementations • 22 Sep 2018 • Haiqing Wei, Gang Huang, Xiuqing Wei, Yanlong Sun, Hongbin Wang
Lin et al. (Reports, 7 September 2018, p. 1004) reported a remarkable proposal that employs a passive, strictly linear optical setup to perform pattern classifications.