538 citations · 2.4k across the 71 of their papers we have counts for
17 papers · 1 filter
Future-Aware Diverse Trends Framework for Recommendation
Yujie Lu, Shengyu Zhang, Yingxuan Huang +4
In recommender systems, modeling user-item behaviors is essential for user representation learning. Existing sequential recommenders consider the sequential correlations between hi…
MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination
Shengyu Zhang, Donghui Wang, Zhou Zhao +3
In this paper, we investigate the problem of text-to-pedestrian synthesis, which has many potential applications in art, design, and video surveillance. Existing methods for text-t…
DeVLBert: Learning Deconfounded Visio-Linguistic Representations
Shengyu Zhang, Tan Jiang, Tan Wang +6
In this paper, we propose to investigate the problem of out-of-domain visio-linguistic pretraining, where the pretraining data distribution differs from that of downstream data on…
Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding
Zhu Zhang, Zhou Zhao, Zhijie Lin +2
Spatio-temporal video grounding aims to retrieve the spatio-temporal tube of a queried object according to the given sentence. Currently, most existing grounding methods are restri…
Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos
Zhu Zhang, Zhijie Lin, Zhou Zhao +2
Video moment retrieval aims to localize the target moment in an video according to the given sentence. The weak-supervised setting only provides the video-level sentence annotation…
PopMAG: Pop Music Accompaniment Generation
Yi Ren, Jinzheng He, Xu Tan +3
In pop music, accompaniments are usually played by multiple instruments (tracks) such as drum, bass, string and guitar, and can make a song more expressive and contagious by arrang…
Poet: Product-oriented Video Captioner for E-commerce
Shengyu Zhang, Ziqi Tan, Jin Yu +6
In e-commerce, a growing number of user-generated videos are used for product promotion. How to generate video descriptions that narrate the user-preferred product characteristics…
FastLR: Non-Autoregressive Lipreading Model with Integrate-and-Fire
Jinglin Liu, Yi Ren, Zhou Zhao +3
Lipreading is an impressive technique and there has been a definite improvement of accuracy in recent years. However, existing methods for lipreading mainly build on autoregressive…
DeepSinger: Singing Voice Synthesis with Data Mined From the Web
Yi Ren, Xu Tan, Tao Qin +3
In this paper, we develop DeepSinger, a multi-lingual multi-singer singing voice synthesis (SVS) system, which is built from scratch using singing training data mined from music we…
Comprehensive Information Integration Modeling Framework for Video Titling
Shengyu Zhang, Ziqi Tan, Jin Yu +6
In e-commerce, consumer-generated videos, which in general deliver consumers' individual preferences for the different aspects of certain products, are massive in volume. To recomm…
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
Yi Ren, Chenxu Hu, Xu Tan +4
Non-autoregressive text to speech (TTS) models such as FastSpeech can synthesize speech significantly faster than previous autoregressive models with comparable quality. The traini…
A Generic Network Compression Framework for Sequential Recommender Systems
Yang Sun, Fajie Yuan, Min Yang +3
Sequential recommender systems (SRS) have become the key technology in capturing user's dynamic interests and generating high-quality recommendations. Current state-of-the-art sequ…
A Study of Non-autoregressive Model for Sequence Generation
Yi Ren, Jinglin Liu, Xu Tan +3
Non-autoregressive (NAR) models generate all the tokens of a sequence in parallel, resulting in faster generation speed compared to their autoregressive (AR) counterparts but at th…
Grounded and Controllable Image Completion by Incorporating Lexical Semantics
Shengyu Zhang, Tan Jiang, Qinghao Huang +7
In this paper, we present an approach, namely Lexical Semantic Image Completion (LSIC), that may have potential applications in art, design, and heritage conservation, among severa…
Convolutional Hierarchical Attention Network for Query-Focused Video Summarization
Shuwen Xiao, Zhou Zhao, Zijian Zhang +2
Previous approaches for video summarization mainly concentrate on finding the most diverse and representative visual contents as video summary without considering the user's prefer…
Bi-Decoder Augmented Network for Neural Machine Translation
Boyuan Pan, Yazheng Yang, Zhou Zhao +2
Neural Machine Translation (NMT) has become a popular technology in recent years, and the encoder-decoder framework is the mainstream among all the methods. It's obvious that the q…
Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
Zhu Zhang, Zhou Zhao, Yang Zhao +3
In this paper, we consider a novel task, Spatio-Temporal Video Grounding for Multi-Form Sentences (STVG). Given an untrimmed video and a declarative/interrogative sentence depictin…