Efficient Barcode Localization Method for Low-Quality Images. - Xiang Pan; Dong Li; Weijia Wu 001; Hong Zhou (ICGSP, 2019)

TextCohesion: Detecting Text for Arbitrary Shapes. - Weijia Wu 001; Jici Xing; Hong Zhou (CoRR, 2019)

Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild. - Weijia Wu 001; Ning Lu 003; Enze Xie; Yuxing Wang; Wenwen Yu; Cheng Yang; Hong Zhou (ACCV (3), 2020)

Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild. - Weijia Wu 001; Ning Lu 003; Enze Xie (CoRR, 2020)

SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training. - Weijia Wu 001; Enze Xie; Ruimao Zhang; Wenhai Wang; Guan Pang; Zhen Li 026; Hong Zhou; Ping Luo 002 (CoRR, 2020)

EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling. - Jue Wang; Haofan Wang; Jincan Deng; Weijia Wu 001; Debing Zhang (CoRR, 2021)

A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer. - Weijia Wu 001; Yuanqiang Cai; Debing Zhang; Sibo Wang 009; Zhuang Li 002; Jiahong Li; Yejun Tang; Hong Zhou (CoRR, 2021)

Polygon-Free: Unconstrained Scene Text Detection with Box Annotations. - Weijia Wu 001; Enze Xie; Ruimao Zhang; Wenhai Wang; Ping Luo 002; Hong Zhou (ICIP, 2022)

A novel feature-based model for zero-shot object detection with simulated attributes. - Cheng Yang; Weijia Wu 001; Yuxing Wang; Hong Zhou (Appl. Intell., 2022)

BiViT: Extremely Compressed Binary Vision Transformer. - Yefei He; Zhenyu Lou; Luoming Zhang; Weijia Wu 001; Bohan Zhuang; Hong Zhou (CoRR, 2022)

BiViT: Extremely Compressed Binary Vision Transformers. - Yefei He; Zhenyu Lou; Luoming Zhang; Jing Liu 048; Weijia Wu 001; Hong Zhou; Bohan Zhuang (ICCV, 2023)

DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models. - Weijia Wu 001; Yuzhong Zhao; Mike Zheng Shou; Hong Zhou; Chunhua Shen (ICCV, 2023)

Generative Prompt Model for Weakly Supervised Object Localization. - Yuzhong Zhao; Qixiang Ye; Weijia Wu 001; Chunhua Shen; Fang Wan 001 (ICCV, 2023)

ICDAR 2023 Competition on Video Text Reading for Dense and Small Text. - Weijia Wu 001; Yuzhong Zhao; Zhuang Li 002; Jiahong Li; Mike Zheng Shou; Umapada Pal 001; Dimosthenis Karatzas; Xiang Bai (ICDAR (2), 2023)

Explore Faster Localization Learning For Scene Text Detection. - Yuzhong Zhao; Yuanqiang Cai; Weijia Wu 001; Weiqiang Wang 001 (ICME, 2023)

FlowText: Synthesizing Realistic Scene Text Video with Optical Flow Estimation. - Yuzhong Zhao; Weijia Wu 001; Zhuang Li 002; Jiahong Li; Weiqiang Wang 001 (ICME, 2023)

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models. - Yuchao Gu; Xintao Wang 002; Jay Zhangjie Wu; Yujun Shi; Yunpeng Chen; Zihan Fan; Wuyou Xiao; Rui Zhao 001; Shuning Chang; Weijia Wu 001; Yixiao Ge; Ying Shan; et al. (NeurIPS, 2023)

PTQD: Accurate Post-Training Quantization for Diffusion Models. - Yefei He; Luping Liu; Jing Liu 048; Weijia Wu 001; Hong Zhou; Bohan Zhuang (NeurIPS, 2023)

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models. - Weijia Wu 001; Yuzhong Zhao; Hao Chen 041; Yuchao Gu; Rui Zhao 001; Yefei He; Hong Zhou; Mike Zheng Shou; Chunhua Shen (NeurIPS, 2023)

ICDAR 2023 Video Text Reading Competition for Dense and Small Text. - Weijia Wu 001; Yuzhong Zhao; Zhuang Li 002; Jiahong Li; Mike Zheng Shou; Umapada Pal 001; Dimosthenis Karatzas; Xiang Bai (CoRR, 2023)

Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM. - Luoming Zhang; Wen Fei; Weijia Wu 001; Yefei He; Zhenyu Lou; Hong Zhou (CoRR, 2023)

MotionDirector: Motion Customization of Text-to-Video Diffusion Models. - Rui Zhao 001; Yuchao Gu; Jay Zhangjie Wu; David Junhao Zhang; Jiawei Liu; Weijia Wu 001; Jussi Keppo; Mike Zheng Shou (CoRR, 2023)

Paragraph-to-Image Generation with Information-Enriched Diffusion Model. - Weijia Wu 001; Zhuang Li 002; Yefei He; Mike Zheng Shou; Chunhua Shen; Lele Cheng; Yan Li; Tingting Gao; Di Zhang; Zhongyuan Wang (CoRR, 2023)

Data-Free Quantization with Accurate Activation Clipping and Adaptive Batch Normalization. - Yefei He; Luoming Zhang; Weijia Wu 001; Hong Zhou (Neural Process. Lett., 2023)

Rethinking the Value of Local Feature Fusion in Convolutional Neural Networks. - Zhenyu Lou; Xin Ye; Luoming Zhang; Weijia Wu 001; Yefei He; Hong Zhou (Neural Process. Lett., 2023)

DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data. - Chengxiang Fan; Muzhi Zhu; Hao Chen 041; Yang Liu 357; Weijia Wu 001; Huaqi Zhang; Chunhua Shen (CVPR, 2024)

DragAnything: Motion Control for Anything Using Entity Representation. - Weijia Wu 001; Zhuang Li 002; Yuchao Gu; Rui Zhao 001; Yefei He; David Junhao Zhang; Mike Zheng Shou; Yan Li; Tingting Gao; Di Zhang (ECCV (22), 2024)

MotionDirector: Motion Customization of Text-to-Video Diffusion Models. - Rui Zhao 001; Yuchao Gu; Jay Zhangjie Wu; David Junhao Zhang; Jia-Wei Liu; Weijia Wu 001; Jussi Keppo; Mike Zheng Shou (ECCV (56), 2024)

ControlCap: Controllable Region-Level Captioning. - Yuzhong Zhao; Yue Liu; Zonghao Guo; Weijia Wu 001; Chen Gong 005; Qixiang Ye; Fang Wan 001 (ECCV (38), 2024)

EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models. - Yefei He; Jing Liu 048; Weijia Wu 001; Hong Zhou; Bohan Zhuang (ICLR, 2024)

ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification. - Yefei He; Luoming Zhang; Weijia Wu 001; Jing Liu 048; Hong Zhou; Bohan Zhuang (NeurIPS, 2024)

Controllable Dense Captioner with Multimodal Embedding Bridging. - Yuzhong Zhao; Yue Liu; Zonghao Guo; Weijia Wu 001; Chen Gong 005; Qixiang Ye; Fang Wan 001 (CoRR, 2024)

DSText V2: A comprehensive video text spotting dataset for dense and small text. - Weijia Wu 001; Yiming Zhang; Yefei He; Luoming Zhang; Zhenyu Lou; Hong Zhou; Xiang Bai (Pattern Recognit., 2024)

Binarizing by Classification: Is Soft Function Really Necessary? - Yefei He; Luoming Zhang; Weijia Wu 001; Hong Zhou (IEEE Trans. Circuits Syst. Video Technol., 2024)

Continual Learning for Image Segmentation With Dynamic Query. - Weijia Wu 001; Yuzhong Zhao; Zhuang Li 002; Lianlei Shan; Hong Zhou; Mike Zheng Shou (IEEE Trans. Circuits Syst. Video Technol., 2024)

End-to-End Video Text Spotting with Transformer. - Weijia Wu 001; Yuanqiang Cai; Chunhua Shen; Debing Zhang; Ying Fu 001; Hong Zhou; Ping Luo 002 (Int. J. Comput. Vis., 2024)

MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation. - Weijia Wu 001; Mingyu Liu; Zeyu Zhu; Xi Xia; Haoen Feng; Wen Wang 015; Kevin Qinghong Lin; Chunhua Shen; Mike Zheng Shou (CVPR, 2025)

A large cross-modal video retrieval dataset with reading comprehension. - Weijia Wu 001; Yuzhong Zhao; Zhuang Li 002; Jiahong Li; Hong Zhou; Mike Zheng Shou; Xiang Bai (Pattern Recognit., 2025)

A Bilingual, Open World Video Text Dataset and Real-Time Video Text Spotting With Contrastive Learning. - Weijia Wu 001; Zhuang Li 002; Yuanqiang Cai; Hong Zhou; Mike Zheng Shou (IEEE Trans. Circuits Syst. Video Technol., 2025)

Automated Movie Generation via Multi-Agent CoT Planning. - Weijia Wu 001; Zeyu Zhu; Mike Zheng Shou (CoRR, 2025)

VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-Domain Generalization. - Yuliang Liu; Mingxin Huang; Hao Yan; Linger Deng; Weijia Wu 001; Hao Lu 003; Chunhua Shen; Lianwen Jin; Xiang Bai (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Towards accurate post-training quantization for reparameterized models. - Luoming Zhang; Yefei He; Wen Fei; Zhenyu Lou; Weijia Wu 001; Yangwei Ying; Hong Zhou (Appl. Intell., 2025)

Paragraph-to-Image Generation with Information-Enriched Diffusion Model. - Weijia Wu 001; Zhuang Li 002; Yefei He; Mike Zheng Shou; Chunhua Shen; Lele Cheng; Yan Li; Tingting Gao; Di Zhang (Int. J. Comput. Vis., 2025)