Search Results for author: Jingwen Chen

Found 8 papers, 4 papers with code

ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors

no code implementations9 Nov 2023 Jingwen Chen, Yingwei Pan, Ting Yao, Tao Mei

To achieve this, we present a new diffusion model (ControlStyle) via upgrading a pre-trained text-to-image model with a trainable modulation network enabling more conditions of text prompts and style images.

Style Transfer Text-to-Image Generation

X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics

2 code implementations18 Aug 2021 Yehao Li, Yingwei Pan, Jingwen Chen, Ting Yao, Tao Mei

Nevertheless, there has not been an open-source codebase in support of training and deploying numerous neural network models for cross-modal analytics in a unified and modular fashion.

Cross-Modal Retrieval Image Captioning +5

Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network

1 code implementation27 Jan 2021 Yehao Li, Yingwei Pan, Ting Yao, Jingwen Chen, Tao Mei

Despite having impressive vision-language (VL) pretraining with BERT-based encoder for VL understanding, the pretraining of a universal encoder-decoder for both VL understanding and generation remains challenging.

Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction

2 code implementations14 Jan 2020 Lingbo Liu, Jingwen Chen, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin

To address this problem, we model a metro system as graphs with various topologies and propose a unified Physical-Virtual Collaboration Graph Network (PVCGN), which can effectively learn the complex ridership patterns from the tailor-designed graphs.

Representation Learning

Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning

1 code implementation3 May 2019 Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao, Tao Mei

Moreover, the inherently recurrent dependency in RNN prevents parallelization within a sequence during training and therefore limits the computations.

Sentence Video Captioning

Composing Music with Grammar Argumented Neural Networks and Note-Level Encoding

no code implementations16 Nov 2016 Zheng Sun, Jiaqi Liu, Zewang Zhang, Jingwen Chen, Zhao Huo, Ching Hua Lee, Xiao Zhang

Creating aesthetically pleasing pieces of art, including music, has been a long-term goal for artificial intelligence research.

Music Generation

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