no code implementations • 27 Oct 2021 • Bowen Wu, Zhenyu Xie, Xiaodan Liang, Yubei Xiao, Haoye Dong, Liang Lin
The integration of human parsing and appearance flow effectively guides the generation of video frames with realistic appearance.
1 code implementation • ACM ICMI Workshop GENEA 2021 • Bowen Wu, Chaoran Liu, Carlos Ishi, Hiroshi Ishiguro
The motions synthesized by the proposed system are evaluated via an objective measure and a subjective experiment, showing that the proposed model outperforms a baseline model which is trained by a state-of-the-art GAN-based algorithm, using the same dataset.
1 code implementation • ECCV 2020 • Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, Liang Lin
Many algorithms try to predict model performance of the pruned sub-nets by introducing various evaluation methods.
Ranked #6 on Network Pruning on ImageNet
no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Bowen Wu, huan zhang, Mengyuan Li, Zongsheng Wang, Qihang Feng, Junhong Huang, Baoxun Wang
There are plenty of studies showing that the knowledge distillation is efficient in transferring the knowledge from BERT into the model with a smaller size of parameters.
no code implementations • ACL 2020 • Bowen Wu, Mengyuan Li, Zongsheng Wang, Yifu Chen, Derek Wong, Qihang Feng, Junhong Huang, Baoxun Wang
Leveraging persona information of users in Neural Response Generators (NRG) to perform personalized conversations has been considered as an attractive and important topic in the research of conversational agents over the past few years.
no code implementations • WS 2019 • Bowen Wu, Haoyang Huang, Zongsheng Wang, Qihang Feng, Jingsong Yu, Baoxun Wang
Despite the remarkable progress on Machine Reading Comprehension (MRC) with the help of open-source datasets, recent studies indicate that most of the current MRC systems unfortunately suffer from weak robustness against adversarial samples.
no code implementations • 14 Aug 2019 • Yifu Chen, Zongsheng Wang, Bowen Wu, Mengyuan Li, huan zhang, Lin Ma, Feng Liu, Qihang Feng, Baoxun Wang
Chinese meme-face is a special kind of internet subculture widely spread in Chinese Social Community Networks.
no code implementations • CVPR 2020 • Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Zhenyu Xie, Bowen Wu, Ziqi Zhang, Xiaohui Shen, Jian Yin
Interactive fashion image manipulation, which enables users to edit images with sketches and color strokes, is an interesting research problem with great application value.
no code implementations • 10 Sep 2018 • Ziwei Bai, Bo Yu, Bowen Wu, Zhuoran Wang, Baoxun Wang
Generating structured query language (SQL) from natural language is an emerging research topic.
no code implementations • ICLR 2019 • Bowen Wu, Nan Jiang, Zhifeng Gao, Mengyuan Li, Zongsheng Wang, Suke Li, Qihang Feng, Wenge Rong, Baoxun Wang
Recent advances in sequence-to-sequence learning reveal a purely data-driven approach to the response generation task.
no code implementations • COLING 2018 • Zongsheng Wang, Yunzhi Bai, Bowen Wu, Zhen Xu, Zhuoran Wang, Baoxun Wang
Generative dialog models usually adopt beam search as the inference method to generate responses.
no code implementations • NAACL 2018 • Zhen Xu, Nan Jiang, Bingquan Liu, Wenge Rong, Bowen Wu, Baoxun Wang, Zhuoran Wang, Xiaolong Wang
The experimental results have shown that our proposed corpus can be taken as a new benchmark dataset for the NRG task, and the presented metrics are promising to guide the optimization of NRG models by quantifying the diversity of the generated responses reasonably.
no code implementations • 29 Apr 2018 • Bowen Wu, Huaming Wu, Monica M. Y. Zhang
To bridge the gap, we impose the intra-class cosine similarity between the features and weight vectors in softmax loss larger than a margin in the training step, and extend it from four aspects.
no code implementations • 7 Mar 2018 • Bowen Wu, Zhangling Chen, Jun Wang, Huaming Wu
With the remarkable success achieved by the Convolutional Neural Networks (CNNs) in object recognition recently, deep learning is being widely used in the computer vision community.
no code implementations • COLING 2016 • Bowen Wu, Baoxun Wang, Hui Xue
For automatic chatting systems, it is indeed a great challenge to reply the given query considering the conversation history, rather than based on the query only.