An Evaluation on Different Graphs for Semi-supervised Learning. - Chun-Guang Li; Xianbiao Qi; Jun Guo 002; Bo Xiao 002 (IScIDE, 2011)

Pairwise Rotation Invariant Co-occurrence Local Binary Pattern. - Xianbiao Qi; Rong Xiao 003; Jun Guo 002; Lei Zhang 001 (ECCV (6), 2012)

Dimensionality Reduction by Low-Rank Embedding. - Chun-Guang Li; Xianbiao Qi; Jun Guo 002 (IScIDE, 2012)

A rapid flower/leaf recognition system. - Xianbiao Qi; Rong Xiao 003; Lei Zhang 001; Chun-Guang Li; Jun Guo 002 (ACM Multimedia, 2012)

Exploring Motion Boundary based Sampling and Spatial-Temporal Context Descriptors for Action Recognition. - Xiaojiang Peng; Yu Qiao 001; Qiang Peng; Xianbiao Qi (BMVC, 2013)

Multi-scale Joint Encoding of Local Binary Patterns for Texture and Material Classification. - Xianbiao Qi; Yu Qiao 001; Chun-Guang Li; Jun Guo 002 (BMVC, 2013)

Exploring Cross-Channel Texture Correlation for Color Texture Classification. - Xianbiao Qi; Yu Qiao 001; Chun-Guang Li; Jun Guo 002 (BMVC, 2013)

Exploring dense trajectory feature and encoding methods for human interaction recognition. - Xiaojiang Peng; Xiao Wu 001; Qiang Peng; Xianbiao Qi; Yu Qiao 001; Yanhua Liu (ICIMCS, 2013)

Spatial co-occurrence of local intensity order for face recognition. - Xianbiao Qi; Yi Lu; Shifeng Chen; Chun-Guang Li; Jun Guo 002 (ICME Workshops, 2013)

Pairwise Rotation Invariant Co-Occurrence Local Binary Pattern. - Xianbiao Qi; Rong Xiao 003; Chun-Guang Li; Yu Qiao 001; Jun Guo 002; Xiaoou Tang (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Discriminative regional color co-occurrence descriptor. - Qin Zou 001; Xianbiao Qi; Qingquan Li; Song Wang 002 (ICIP, 2015)

HEp-2 Cell Classification via Fusing Texture and Shape Information. - Xianbiao Qi; Guoying Zhao 001; Chun-Guang Li; Jun Guo 002; Matti Pietikäinen (CoRR, 2015)

Globally rotation invariant multi-scale co-occurrence local binary pattern. - Xianbiao Qi; LinLin Shen; Guoying Zhao 001; Qingquan Li; Matti Pietikäinen (Image Vis. Comput., 2015)

Thorax disease diagnosis using deep convolutional neural network. - Jie Chen 001; Xianbiao Qi; Osmo Tervonen; Olli Silvén; Guoying Zhao 001; Matti Pietikäinen (EMBC, 2016)

Probing the Intra-Component Correlations within Fisher Vector for Material Classification. - Xiaopeng Hong; Xianbiao Qi; Guoying Zhao 001; Matti Pietikäinen (CoRR, 2016)

Dynamic texture and scene classification by transferring deep image features. - Xianbiao Qi; Chun-Guang Li; Guoying Zhao 001; Xiaopeng Hong; Matti Pietikäinen (Neurocomputing, 2016)

LOAD: Local orientation adaptive descriptor for texture and material classification. - Xianbiao Qi; Guoying Zhao 001; Linlin Shen; Qingquan Li; Matti Pietikäinen (Neurocomputing, 2016)

Exploring illumination robust descriptors for human epithelial type 2 cell classification. - Xianbiao Qi; Guoying Zhao 001; Jie Chen 001; Matti Pietikäinen (Pattern Recognit., 2016)

HEp-2 cell classification: The role of Gaussian Scale Space Theory as a pre-processing approach. - Xianbiao Qi; Guoying Zhao 001; Jie Chen 001; Matti Pietikäinen (Pattern Recognit. Lett., 2016)

3D Surface Detail Enhancement from a Single Normal Map. - Wuyuan Xie; Miaohui Wang; Xianbiao Qi; Lei Zhang 006 (ICCV, 2017)

HEp-2 Cell Classification via Combining Multiresolution Co-Occurrence Texture and Large Region Shape Information. - Xianbiao Qi; Guoying Zhao 001; Chun-Guang Li; Jun Guo 002; Matti Pietikäinen (IEEE J. Biomed. Health Informatics, 2017)

Face Recognition via Centralized Coordinate Learning. - Xianbiao Qi; Lei Zhang 006 (CoRR, 2018)

Self-Supervised Convolutional Subspace Clustering Network. - Junjian Zhang; Chun-Guang Li; Chong You; Xianbiao Qi; Honggang Zhang 002; Jun Guo 002; Zhouchen Lin (CVPR, 2019)

A Novel Joint Character Categorization and Localization Approach for Character-Level Scene Text Recognition. - Xianbiao Qi; Yihao Chen; Rong Xiao 003; Chun-Guang Li; Qin Zou 001; Shuguang Cui (WML@ICDAR, 2019)

Homocentric Hypersphere Feature Embedding for Person Re-Identification. - Wangmeng Xiang; Jianqiang Huang; Xianbiao Qi; Xiansheng Hua 001; Lei Zhang 006 (ICIP, 2019)

MASTER: Multi-Aspect Non-local Network for Scene Text Recognition. - Ning Lu 003; Wenwen Yu; Xianbiao Qi; Yihao Chen; Ping Gong 003; Rong Xiao 003 (CoRR, 2019)

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection. - Qin Zou 001; Zheng Zhang 036; Qingquan Li; Xianbiao Qi; Qian Wang 002; Song Wang 002 (IEEE Trans. Image Process., 2019)

PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks. - Wenwen Yu; Ning Lu 003; Xianbiao Qi; Ping Gong 003; Rong Xiao 003 (ICPR, 2020)

Learning Convolution Feature Aggregation via Edge Attention Convolution Network for Person Re-Identification. - Chaoqun Lin; Ruo-Pei Guo; Mingkun Li; Xianbiao Qi; Chun-Guang Li (VCIP, 2020)

Neural Mesh Refiner for 6-DoF Pose Estimation. - Di Wu; Yihao Chen; Xianbiao Qi; Yongjian Yu; Weixuan Chen; Rong Xiao 003 (CoRR, 2020)

Hamming OCR: A Locality Sensitive Hashing Neural Network for Scene Text Recognition. - Bingcong Li; Xin Tang; Xianbiao Qi; Yihao Chen; Rong Xiao 003 (CoRR, 2020)

Fast infrared and visible image fusion with structural decomposition. - Hui Li 029; Xianbiao Qi; Wuyuan Xie (Knowl. Based Syst., 2020)

PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Table Image Recognition to Latex. - Yelin He; Xianbiao Qi; Jiaquan Ye; Peng Gao; Yihao Chen; Bingcong Li; Xin Tang; Rong Xiao 003 (CoRR, 2021)

PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML. - Jiaquan Ye; Xianbiao Qi; Yelin He; Yihao Chen; Dengyi Gu; Peng Gao; Rong Xiao 003 (CoRR, 2021)

Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model. - Yixuan Qiao; Hao Chen; Jun Wang 123; Yihao Chen; Xianbin Ye; Ziliang Li; Xianbiao Qi; Peng Gao 015; Guotong Xie (CoRR, 2021)

1st Place Solution for ICDAR 2021 Competition on Mathematical Formula Detection. - Yuxiang Zhong; Xianbiao Qi; Shanjun Li; Dengyi Gu; Yihao Chen; Peiyang Ning; Rong Xiao 003 (CoRR, 2021)

MASTER: Multi-aspect non-local network for scene text recognition. - Ning Lu 003; Wenwen Yu; Xianbiao Qi; Yihao Chen; Ping Gong 003; Rong Xiao 003; Xiang Bai (Pattern Recognit., 2021)

Detail-Preserving Multi-Exposure Fusion With Edge-Preserving Structural Patch Decomposition. - Hui Li 029; Tsz Nam Chan; Xianbiao Qi; Wuyuan Xie (IEEE Trans. Circuits Syst. Video Technol., 2021)

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR. - Shilong Liu; Feng Li 040; Hao Zhang 097; Xiao Yang; Xianbiao Qi; Hang Su 006; Jun Zhu 001; Lei Zhang 001 (ICLR, 2022)

Exploring Vision Transformers as Diffusion Learners. - He Cao; Jianan Wang; Tianhe Ren; Xianbiao Qi; Yihao Chen; Yuan Yao; Lei Zhang 001 (CoRR, 2022)

Learning graph normalization for graph neural networks. - Yihao Chen; Xin Tang; Xianbiao Qi; Chun-Guang Li; Rong Xiao 003 (Neurocomputing, 2022)

EMU: Effective Multi-Hot Encoding Net for Lightweight Scene Text Recognition With a Large Character Set. - Bingcong Li; Xin Tang; Xianbiao Qi; Yihao Chen; Chun-Guang Li; Rong Xiao 003 (IEEE Trans. Circuits Syst. Video Technol., 2022)

DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training. - Yihao Chen; Xianbiao Qi; Jianan Wang; Lei Zhang 001 (CVPR, 2023)

LipsFormer: Introducing Lipschitz Continuity to Vision Transformers. - Xianbiao Qi; Jianan Wang; Yihao Chen; Yukai Shi; Lei Zhang 001 (ICLR, 2023)

DreamWaltz: Make a Scene with Complex 3D Animatable Avatars. - Yukun Huang; Jianan Wang; Ailing Zeng; He Cao; Xianbiao Qi; Yukai Shi; Zheng-Jun Zha; Lei Zhang 001 (NeurIPS, 2023)

detrex: Benchmarking Detection Transformers. - Tianhe Ren; Shilong Liu; Feng Li 040; Hao Zhang 097; Ailing Zeng; Jie Yang; Xingyu Liao; Ding Jia; Hongyang Li 003; He Cao; Jianan Wang; Zhaoyang Zeng; et al. (CoRR, 2023)

Understanding Optimization of Deep Learning. - Xianbiao Qi; Jianan Wang; Lei Zhang 001 (CoRR, 2023)

DreamTime: An Improved Optimization Strategy for Text-to-3D Content Creation. - Yukun Huang; Jianan Wang; Yukai Shi; Xianbiao Qi; Zheng-Jun Zha; Lei Zhang 001 (CoRR, 2023)

Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices. - Bojia Zi; Xianbiao Qi; Lingzhi Wang 001; Jianan Wang; Kam-Fai Wong; Lei Zhang 001 (CoRR, 2023)

AcademicGPT: Empowering Academic Research. - Shufa Wei; Xiaolong Xu 002; Xianbiao Qi; Xi Yin 010; Jun Xia; Jingyi Ren; Peijun Tang; Yuxiang Zhong; Yihao Chen; Xiaoqin Ren; Yuxin Liang; Liankai Huang; et al. (CoRR, 2023)

Graph Cut-Guided Maximal Coding Rate Reduction for Learning Image Embedding and Clustering. - Wei He; Zhiyuan Huang; Xianghan Meng; Xianbiao Qi; Rong Xiao 003; Chun-Guang Li (ACCV (10), 2024)

DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation. - Yukun Huang; Jianan Wang; Yukai Shi; Boshi Tang; Xianbiao Qi; Lei Zhang 001 (ICLR, 2024)

TOSS: High-quality Text-guided Novel View Synthesis from a Single Image. - Yukai Shi; Jianan Wang; He Cao; Boshi Tang; Xianbiao Qi; Tianyu Yang 003; Yukun Huang; Shilong Liu; Lei Zhang 001; Heung-Yeung Shum (ICLR, 2024)

CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility. - Bojia Zi; Shihao Zhao; Xianbiao Qi; Jianan Wang; Yukai Shi; Qianyu Chen; Bin Liang 004; Kam-Fai Wong; Lei Zhang 001 (CoRR, 2024)

Elucidating the design space of language models for image generation. - Xuantong Liu; Shaozhe Hao; Xianbiao Qi; Tianyang Hu; Jun Wang; Rong Xiao; Yuan Yao (CoRR, 2024)

CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility. - Bojia Zi; Shihao Zhao; Xianbiao Qi; Jianan Wang; Yukai Shi; Qianyu Chen; Bin Liang 004; Rong Xiao 003; Kam-Fai Wong; Lei Zhang 001 (AAAI, 2025)

BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities. - Shaozhe Hao; Xuantong Liu; Xianbiao Qi; Shihao Zhao; Bojia Zi; Rong Xiao; Kai Han 001; Kwan-Yee K. Wong (ICLR, 2025)

Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model. - Yaxuan Huang; Xili Dai; Jianan Wang; Xianbiao Qi; Yixing Yuan; Xiangyu Yue 001 (ICLR, 2025)

Exploring a Principled Framework for Deep Subspace Clustering. - Xianghan Meng; Zhiyuan Huang; Wei He; Xianbiao Qi; Rong Xiao 003; Chun-Guang Li (ICLR, 2025)

Taming Transformer Without Using Learning Rate Warmup. - Xianbiao Qi; Yelin He; Jiaquan Ye; Chun-Guang Li; Bojia Zi; Xili Dai; Qin Zou 001; Rong Xiao 003 (ICLR, 2025)

Neural Normalized Cut: A differential and generalizable approach for spectral clustering. - Wei He; Shangzhi Zhang; Chun-Guang Li; Xianbiao Qi; Rong Xiao 003; Jun Guo 002 (Pattern Recognit., 2025)

Señorita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists. - Bojia Zi; Penghui Ruan; Marco Chen; Xianbiao Qi; Shaozhe Hao; Shihao Zhao; Youze Huang; Bin Liang 004; Rong Xiao 003; Kam-Fai Wong (CoRR, 2025)

MiniMax-Remover: Taming Bad Noise Helps Video Object Removal. - Bojia Zi; Weixuan Peng; Xianbiao Qi; Jianan Wang; Shihao Zhao; Rong Xiao 003; Kam-Fai Wong (CoRR, 2025)

BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos. - Jiahao Lin; Weixuan Peng; Bojia Zi; Yifeng Gao; Xianbiao Qi; Xingjun Ma; Yu-Gang Jiang (CoRR, 2025)

DNT: a Deeply Normalized Transformer that can be trained by Momentum SGD. - Xianbiao Qi; Marco Chen; Wenjie Xiao; Jiaquan Ye; Yelin He; Chun-Guang Li; Zhouchen Lin (CoRR, 2025)

HCAttention: Extreme KV Cache Compression via Heterogeneous Attention Computing for LLMs. - Dongquan Yang; Yifan Yang; Xiaotian Yu; Xianbiao Qi; Rong Xiao 003 (CoRR, 2025)