Yancheng Bai

37 papers A* 4A 1B 1Misc 1Journal 24Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Scale to Speed: Adaptive Test-Time Scaling for Image Editing.
CoRR
Xiangyan Qu, Zhenlong Yuan, Jing Tang, Rui Chen, Datao Tang, Meng Yu, Lei Sun, Yancheng Bai, Xiangxiang Chu, Gaopeng Gou, Gang Xiong, Yujun Cai
2026 J jnl
Layer-wise Instance Binding for Regional and Occlusion Control in Text-to-Image Diffusion Transformers.
CoRR
Ruidong Chen, Yancheng Bai, Xuanpu Zhang, Jianhao Zeng, Lanjun Wang, Dan Song, Lei Sun, Xiangxiang Chu, Anan Liu
2026 A* conf
SCALAR: Scale-wise Controllable Visual Autoregressive Learning.
AAAI
Ryan Xu, Dongyang Jin, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu
2026 J jnl
TEXTS-Diff: TEXTS-Aware Diffusion Model for Real-World Text Image Super-Resolution.
CoRR
Haodong He, Xin Zhan, Yancheng Bai, Rui Lan, Lei Sun, Xiangxiang Chu
2025 J jnl
Eevee: Towards Close-up High-resolution Video-based Virtual Try-on.
CoRR
Jianhao Zeng, Yancheng Bai, Ruidong Chen, Xuanpu Zhang, Lei Sun, Dongyang Jin, Ryan Xu, Nannan Zhang, Dan Song, Xiangxiang Chu
2025 J jnl
FLUX-Text: A Simple and Advanced Diffusion Transformer Baseline for Scene Text Editing.
CoRR
Rui Lan, Yancheng Bai, Xu Duan, Mingxing Li, Lei Sun, Xiangxiang Chu
2025 J jnl
Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model.
CoRR
Mingxing Li, Rui Wang, Lei Sun, Yancheng Bai, Xiangxiang Chu
2025 J jnl
RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution.
CoRR
Haodong He, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu, Gui-Song Xia
2025 J jnl
Revising Representation and Target Deviations for Accurate Human Pose Estimation.
IEEE Trans. Neural Networks Learn. Syst.
Zian Zhang, Yongqiang Zhang, Yancheng Bai, Man Zhang, Rui Tian, Yin Zhang, Mingli Ding, Wangmeng Zuo
2025 J jnl
SCALAR: Scale-wise Controllable Visual Autoregressive Learning.
CoRR
Ryan Xu, Dongyang Jin, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu
2025 J jnl
Semantic Context Matters: Improving Conditioning for Autoregressive Models.
CoRR
Dongyang Jin, Ryan Xu, Jianhao Zeng, Rui Lan, Yancheng Bai, Lei Sun, Xiangxiang Chu
2024 Misc conf
A Study on the Adverse Impact of Synthetic Speech on Speech Recognition.
ICASSP
Jian Huang, Yancheng Bai, Yang Cai, Wei Bian
2024 J jnl
R-CCF: region-aware continual contrastive fusion for weakly supervised object detection.
Appl. Intell.
Yongqiang Zhang, Rui Tian, Yin Zhang, Zian Zhang, Yancheng Bai, Mingli Ding, Wangmeng Zuo
2023 J jnl
Class-incremental object detection.
Pattern Recognit.
Na Dong, Yongqiang Zhang, Mingli Ding, Yancheng Bai
2023 — conf
DPOSE: Online Keypoint-CAM Guided Inference for Driver Pose Estimation with GMM-based Balanced Sampling.
CVPR Workshops
Yuyu Guo, Yancheng Bai, Daiqi Shi, Yan Cai, Wei Bian
2023 J jnl
ThumbDet: One thumbnail image is enough for object detection.
Pattern Recognit.
Yongqiang Zhang, Yin Zhang, Rui Tian, Zian Zhang, Yancheng Bai, Wangmeng Zuo, Mingli Ding
2022 J jnl
One-stage object detection knowledge distillation via adversarial learning.
Appl. Intell.
Na Dong, Yongqiang Zhang, Mingli Ding, Shibiao Xu, Yancheng Bai
2021 J jnl
KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild.
IEEE Trans. Neural Networks Learn. Syst.
Yongqiang Zhang, Yancheng Bai, Mingli Ding, Shibiao Xu, Bernard Ghanem
2020 J jnl
Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild.
Int. J. Comput. Vis.
Yongqiang Zhang, Yancheng Bai, Mingli Ding, Bernard Ghanem
2019 J jnl
Corrigendum to 'Weakly-supervised Object Detection via Mining Pseudo Ground Truth Bounding-boxes' [Pattern Recognition 84 (2018) 68-81].
Pattern Recognit.
Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem
2019 J jnl
Detecting small faces in the wild based on generative adversarial network and contextual information.
Pattern Recognit.
Yongqiang Zhang, Mingli Ding, Yancheng Bai, Bernard Ghanem
2019 J jnl
Learning a strong detector for action localization in videos.
Pattern Recognit. Lett.
Yongqiang Zhang, Mingli Ding, Yancheng Bai, Dandan Liu, Bernard Ghanem
2019 — conf
Missing Labels in Object Detection.
CVPR Workshops
Mengmeng Xu, Yancheng Bai, Bernard Ghanem
2019 — conf
Semantic Part RCNN for Real-World Pedestrian Detection.
CVPR Workshops
Mengmeng Xu, Yancheng Bai, Sally Sisi Qu, Bernard Ghanem
2018 J jnl
Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection.
CoRR
Yancheng Bai, Huijuan Xu, Kate Saenko, Bernard Ghanem
2018 A* conf
Finding Tiny Faces in the Wild With Generative Adversarial Network.
CVPR
Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem
2018 — conf
SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network.
ECCV (13)
Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem
2018 A* conf
W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection.
CVPR
Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem
2018 J jnl
Weakly-supervised object detection via mining pseudo ground truth bounding-boxes.
Pattern Recognit.
Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem
2017 J jnl
Multi-Branch Fully Convolutional Network for Face Detection.
CoRR
Yancheng Bai, Bernard Ghanem
2017 — conf
Multi-scale Fully Convolutional Network for Face Detection in the Wild.
CVPR Workshops
Yancheng Bai, Bernard Ghanem
2016 A conf
Multi-Scale Fully Convolutional Network for Fast Face Detection.
BMVC
Yancheng Bai, Wenjing Ma, Yucheng Li, Liangliang Cao, Wen Guo, Luwei Yang
2014 J jnl
Object Tracking via Robust Multitask Sparse Representation.
IEEE Signal Process. Lett.
Yancheng Bai, Ming Tang
2014 — conf
Robust Maximum Margin Correlation Tracking.
ACCV Workshops (1)
Han Wang, Yancheng Bai, Ming Tang
2014 J jnl
Robust visual tracking via augmented kernel SVM.
Image Vis. Comput.
Yancheng Bai, Ming Tang
2012 A* conf
Robust tracking via weakly supervised ranking SVM.
CVPR
Yancheng Bai, Ming Tang
2011 B conf
Robust visual tracking via ranking SVM.
ICIP
Yancheng Bai, Ming Tang