Search Results for author: Shuai Bai

Found 9 papers, 5 papers with code

Pretrained Diffusion Models for Unified Human Motion Synthesis

no code implementations6 Dec 2022 Jianxin Ma, Shuai Bai, Chang Zhou

Generative modeling of human motion has broad applications in computer animation, virtual reality, and robotics.

Motion Synthesis

Single Stage Virtual Try-on via Deformable Attention Flows

1 code implementation19 Jul 2022 Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang

Virtual try-on aims to generate a photo-realistic fitting result given an in-shop garment and a reference person image.

Image Animation Virtual Try-on

M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing

no code implementations24 May 2022 Zhikang Li, Huiling Zhou, Shuai Bai, Peike Li, Chang Zhou, Hongxia Yang

The fashion industry has diverse applications in multi-modal image generation and editing.

Image Generation

Connecting Language and Vision for Natural Language-Based Vehicle Retrieval

1 code implementation31 May 2021 Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Yi Yang, Hongxia Yang

In this paper, we apply one new modality, i. e., the language description, to search the vehicle of interest and explore the potential of this task in the real-world scenario.

Language Modelling Management +2

Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection

1 code implementation CVPR 2021 Hanzhe Hu, Shuai Bai, Aoxue Li, Jinshi Cui, LiWei Wang

In this work, aiming to fully exploit features of annotated novel object and capture fine-grained features of query object, we propose Dense Relation Distillation with Context-aware Aggregation (DCNet) to tackle the few-shot detection problem.

Few-Shot Object Detection Meta-Learning +1

Class-wise Dynamic Graph Convolution for Semantic Segmentation

no code implementations ECCV 2020 Hanzhe Hu, Deyi Ji, Weihao Gan, Shuai Bai, Wei Wu, Junjie Yan

Specifically, the CDGC module takes the coarse segmentation result as class mask to extract node features for graph construction and performs dynamic graph convolutions on the constructed graph to learn the feature aggregation and weight allocation.

graph construction Semantic Segmentation

Adaptive Dilated Network With Self-Correction Supervision for Counting

no code implementations CVPR 2020 Shuai Bai, Zhiqun He, Yu Qiao, Hanzhe Hu, Wei Wu, Junjie Yan

In this paper, we propose an adaptive dilated convolution and a novel supervised learning framework named self-correction (SC) supervision.

Multi-hierarchical Independent Correlation Filters for Visual Tracking

1 code implementation26 Nov 2018 Shuai Bai, Zhiqun He, Ting-Bing Xu, Zheng Zhu, Yuan Dong, Hongliang Bai

For visual tracking, most of the traditional correlation filters (CF) based methods suffer from the bottleneck of feature redundancy and lack of motion information.

Motion Estimation online learning +2

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