Yancheng Bai

According to our database, Yancheng Bai authored at least 36 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Layer-wise Instance Binding for Regional and Occlusion Control in Text-to-Image Diffusion Transformers.

Ruidong Chen, Yancheng Bai, Xuanpu Zhang, Jianhao Zeng, Lanjun Wang, Dan Song, Lei Sun, Xiangxiang Chu, Anan Liu

CoRR, March, 2026

From Scale to Speed: Adaptive Test-Time Scaling for Image Editing.

Xiangyan Qu, Zhenlong Yuan, Jing Tang, Rui Chen, Datao Tang, Meng Yu, Lei Sun, Yancheng Bai, Xiangxiang Chu, Gaopeng Gou, Gang Xiong, Yujun Cai

CoRR, March, 2026

TEXTS-Diff: TEXTS-Aware Diffusion Model for Real-World Text Image Super-Resolution.

Haodong He, Xin Zhan, Yancheng Bai, Rui Lan, Lei Sun, Xiangxiang Chu

CoRR, January, 2026

SCALAR: Scale-wise Controllable Visual Autoregressive Learning.

Ryan Xu, Dongyang Jin, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Eevee: Towards Close-up High-resolution Video-based Virtual Try-on.

Jianhao Zeng, Yancheng Bai, Ruidong Chen, Xuanpu Zhang, Lei Sun, Dongyang Jin, Ryan Xu, Nannan Zhang, Dan Song, Xiangxiang Chu

CoRR, November, 2025

Semantic Context Matters: Improving Conditioning for Autoregressive Models.

Dongyang Jin, Ryan Xu, Jianhao Zeng, Rui Lan, Yancheng Bai, Lei Sun, Xiangxiang Chu

CoRR, November, 2025

Revising Representation and Target Deviations for Accurate Human Pose Estimation.

Zian Zhang, Yongqiang Zhang, Yancheng Bai, Man Zhang, Rui Tian, Yin Zhang, Mingli Ding, Wangmeng Zuo

IEEE Trans. Neural Networks Learn. Syst., September, 2025

RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution.

Haodong He, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu, Gui-Song Xia

CoRR, August, 2025

FLUX-Text: A Simple and Advanced Diffusion Transformer Baseline for Scene Text Editing.

Rui Lan, Yancheng Bai, Xu Duan, Mingxing Li, Lei Sun, Xiangxiang Chu

CoRR, May, 2025

Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model.

Mingxing Li, Rui Wang, Lei Sun, Yancheng Bai, Xiangxiang Chu

CoRR, March, 2025

2024

R-CCF: region-aware continual contrastive fusion for weakly supervised object detection.

Yongqiang Zhang, Rui Tian, Yin Zhang, Zian Zhang, Yancheng Bai, Mingli Ding, Wangmeng Zuo

Appl. Intell., March, 2024

A Study on the Adverse Impact of Synthetic Speech on Speech Recognition.

Jian Huang, Yancheng Bai, Yang Cai, Wei Bian

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Class-incremental object detection.

Na Dong, Yongqiang Zhang, Mingli Ding, Yancheng Bai

Pattern Recognit., July, 2023

ThumbDet: One thumbnail image is enough for object detection.

Yongqiang Zhang, Yin Zhang, Rui Tian, Zian Zhang, Yancheng Bai, Wangmeng Zuo, Mingli Ding

Pattern Recognit., June, 2023

DPOSE: Online Keypoint-CAM Guided Inference for Driver Pose Estimation with GMM-based Balanced Sampling.

Yuyu Guo, Yancheng Bai, Daiqi Shi, Yan Cai, Wei Bian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

One-stage object detection knowledge distillation via adversarial learning.

Na Dong, Yongqiang Zhang, Mingli Ding, Shibiao Xu, Yancheng Bai

Appl. Intell., 2022

2021

KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild.

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Shibiao Xu, Bernard Ghanem

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild.

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Bernard Ghanem

Int. J. Comput. Vis., 2020

2019

Learning a strong detector for action localization in videos.

Yongqiang Zhang, Mingli Ding, Yancheng Bai, Dandan Liu, Bernard Ghanem

Pattern Recognit. Lett., 2019

Detecting small faces in the wild based on generative adversarial network and contextual information.

Yongqiang Zhang, Mingli Ding, Yancheng Bai, Bernard Ghanem

Pattern Recognit., 2019

Corrigendum to 'Weakly-supervised Object Detection via Mining Pseudo Ground Truth Bounding-boxes' [Pattern Recognition 84 (2018) 68-81].

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem

Pattern Recognit., 2019

Semantic Part RCNN for Real-World Pedestrian Detection.

Mengmeng Xu, Yancheng Bai, Sally Sisi Qu, Bernard Ghanem

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Missing Labels in Object Detection.

Mengmeng Xu, Yancheng Bai, Bernard Ghanem

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Weakly-supervised object detection via mining pseudo ground truth bounding-boxes.

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem

Pattern Recognit., 2018

Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection.

Yancheng Bai, Huijuan Xu, Kate Saenko, Bernard Ghanem

CoRR, 2018

SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network.

Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2018, 2018

W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection.

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Finding Tiny Faces in the Wild With Generative Adversarial Network.

Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Multi-Branch Fully Convolutional Network for Face Detection.

Yancheng Bai, Bernard Ghanem

CoRR, 2017

Multi-scale Fully Convolutional Network for Face Detection in the Wild.

Yancheng Bai, Bernard Ghanem

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Multi-Scale Fully Convolutional Network for Fast Face Detection.

Yancheng Bai, Wenjing Ma, Yucheng Li, Liangliang Cao, Wen Guo, Luwei Yang

Proceedings of the British Machine Vision Conference 2016, 2016

2014

Object Tracking via Robust Multitask Sparse Representation.

Yancheng Bai, Ming Tang

IEEE Signal Process. Lett., 2014

Robust visual tracking via augmented kernel SVM.

Yancheng Bai, Ming Tang

Image Vis. Comput., 2014

Robust Maximum Margin Correlation Tracking.

Han Wang, Yancheng Bai, Ming Tang

Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2012

Robust tracking via weakly supervised ranking SVM.

Yancheng Bai, Ming Tang

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Robust visual tracking via ranking SVM.

Yancheng Bai, Ming Tang

Proceedings of the 18th IEEE International Conference on Image Processing, 2011