Wayne Zhang

According to our database, Wayne Zhang authored at least 72 papers between 2005 and 2024.

Collaborative distances:

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

2024

RelayAttention for Efficient Large Language Model Serving with Long System Prompts.

Lei Zhu, Xinjiang Wang, Wayne Zhang, Rynson W. H. Lau

CoRR, 2024

2023

Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid.

Yiming Gao, Zhanghui Kuang, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

A Coarse-to-Fine Framework for Automatic Video Unscreen.

Anyi Rao, Linning Xu, Zhizhong Li, Qingqiu Huang, Zhanghui Kuang, Wayne Zhang, Dahua Lin

IEEE Trans. Multim., 2023

Recovery of Future Data via Convolution Nuclear Norm Minimization.

Guangcan Liu, Wayne Zhang

IEEE Trans. Inf. Theory, 2023

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.

Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

CoRR, 2023

SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation.

Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation.

Haoqi Wang, Zhizhong Li, Wayne Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Diverse Cotraining Makes Strong Semi-Supervised Segmentor.

Yijiang Li, Xinjiang Wang, Lihe Yang, Litong Feng, Wayne Zhang, Ying Gao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BiFormer: Vision Transformer with Bi-Level Routing Attention.

Lei Zhu, Xinjiang Wang, Zhanghan Ke, Wayne Zhang, Rynson W. H. Lau

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

Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation.

Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi

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

Panoptic Video Scene Graph Generation.

Jingkang Yang, Wenxuan Peng, Xiangtai Li, Zujin Guo, Liangyu Chen, Bo Li, Zheng Ma, Kaiyang Zhou, Wayne Zhang, Chen Change Loy, Ziwei Liu

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

Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection.

Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang

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

2022

GenDet: Meta Learning to Generate Detectors From Few Shots.

Liyang Liu, Bochao Wang, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang

IEEE Trans. Neural Networks Learn. Syst., 2022

Consistent Targets Provide Better Supervision in Semi-supervised Object Detection.

Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang

CoRR, 2022

OpenOOD: Benchmarking Generalized Out-of-Distribution Detection.

Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Panoptic Scene Graph Generation.

Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

ViM: Out-Of-Distribution with Virtual-logit Matching.

Haoqi Wang, Zhizhong Li, Litong Feng, Wayne Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation.

Yi Li, Yiqun Duan, Zhanghui Kuang, Yimin Chen, Wayne Zhang, Xiaomeng Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection.

Liyang Liu, Zhanghui Kuang, Yimin Chen, Jing-Hao Xue, Wenming Yang, Wayne Zhang

IEEE Trans. Neural Networks Learn. Syst., 2021

Hierarchical Reasoning Network for Human-Object Interaction Detection.

Yiming Gao, Zhanghui Kuang, Guanbin Li, Wayne Zhang, Liang Lin

IEEE Trans. Image Process., 2021

Pseudo-mask Matters inWeakly-supervised Semantic Segmentation.

Yi Li, Zhanghui Kuang, Liyang Liu, Yimin Chen, Wayne Zhang

CoRR, 2021

Progressive Representative Labeling for Deep Semi-Supervised Learning.

Xiaopeng Yan, Riquan Chen, Litong Feng, Jingkang Yang, Huabin Zheng, Wayne Zhang

CoRR, 2021

WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection.

Shijie Fang, Yuhang Cao, Xinjiang Wang, Kai Chen, Dahua Lin, Wayne Zhang

CoRR, 2021

Spatial Dual-Modality Graph Reasoning for Key Information Extraction.

Hongbin Sun, Zhanghui Kuang, Xiaoyu Yue, Chenhao Lin, Wayne Zhang

CoRR, 2021

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding.

Zhanghui Kuang, Hongbin Sun, Zhizhong Li, Xiaoyu Yue, Tsui Hin Lin, Jianyong Chen, Huaqiang Wei, Yiqin Zhu, Tong Gao, Wenwei Zhang, Kai Chen, Wayne Zhang, Dahua Lin

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Group Fisher Pruning for Practical Network Compression.

Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

Towards Impartial Multi-task Learning.

Liyang Liu, Yi Li, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

Vision Transformer with Progressive Sampling.

Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang, Meng Wei, Philip H. S. Torr, Wayne Zhang, Dahua Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semantically Coherent Out-of-Distribution Detection.

Jingkang Yang, Haoqi Wang, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang, Ziwei Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Pseudo-mask Matters in Weakly-supervised Semantic Segmentation.

Yi Li, Zhanghui Kuang, Liyang Liu, Yimin Chen, Wayne Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fourier Contour Embedding for Arbitrary-Shaped Text Detection.

Yiqin Zhu, Jianyong Chen, Lingyu Liang, Zhanghui Kuang, Lianwen Jin, Wayne Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Selecting Optimal Completion to Partial Matrix via Self-Validation.

Xin Wang, Guangcan Liu, Wayne Zhang, Qingshan Liu

IEEE Signal Process. Lett., 2020

How Does BN Increase Collapsed Neural Network Filters?

Sheng Zhou, Xinjiang Wang, Ping Luo, Litong Feng, Wenjie Li, Wei Zhang

CoRR, 2020

Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph.

Jingkang Yang, Weirong Chen, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Maximum-and-Concatenation Networks.

Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin

Proceedings of the 37th International Conference on Machine Learning, 2020

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition.

Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin Sun, Wayne Zhang

Proceedings of the Computer Vision - ECCV 2020, 2020

Webly Supervised Image Classification with Self-contained Confidence.

Jingkang Yang, Litong Feng, Weirong Chen, Xiaopeng Yan, Huabin Zheng, Ping Luo, Wayne Zhang

Proceedings of the Computer Vision - ECCV 2020, 2020

Context-Aware RCNN: A Baseline for Action Detection in Videos.

Jianchao Wu, Zhanghui Kuang, Limin Wang, Wayne Zhang, Gangshan Wu

Proceedings of the Computer Vision - ECCV 2020, 2020

Scale-Equalizing Pyramid Convolution for Object Detection.

Xinjiang Wang, Shilong Zhang, Zhuoran Yu, Litong Feng, Wayne Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Object Instance Mining for Weakly Supervised Object Detection.

Chenhao Lin, Siwen Wang, Dongqi Xu, Yu Lu, Wayne Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Efficient Detector with Semi-supervised Adaptive Distillation.

Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wei Zhang, Yimin Chen

CoRR, 2019

Gradual Network for Single Image De-raining.

Weijiang Yu, Zhe Huang, Wayne Zhang, Litong Feng, Nong Xiao

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Learning Local Similarity with Spatial Relations for Object Retrieval.

Zhenfang Chen, Zhanghui Kuang, Wayne Zhang, Kwan-Yee K. Wong

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Geometry Normalization Networks for Accurate Scene Text Detection.

Jiaqi Duan, Youjiang Xu, Zhanghui Kuang, Xiaoyu Yue, Hongbin Sun, Yue Guan, Wayne Zhang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Data-Driven Neuron Allocation for Scale Aggregation Networks.

Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang

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

Learning Efficient Detector with Semi-supervised Adaptive Distillation.

Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wayne Zhang, Zheng Lu

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos.

Zhaoyang Zhang, Zhanghui Kuang, Ping Luo, Litong Feng, Wei Zhang

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Extractive Video Summarizer with Memory Augmented Neural Networks.

Litong Feng, Ziyin Li, Zhanghui Kuang, Wei Zhang

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Convolutional Memory Blocks for Depth Data Representation Learning.

Keze Wang, Liang Lin, Chuangjie Ren, Wei Zhang, Wenxiu Sun

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition.

Shuyang Sun, Zhanghui Kuang, Lu Sheng, Wanli Ouyang, Wei Zhang

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

Boosting up Scene Text Detectors with Guided CNN.

Xiaoyu Yue, Zhanghui Kuang, Zhaoyang Zhang, Zhenfang Chen, Pan He, Yu Qiao, Wei Zhang

Proceedings of the British Machine Vision Conference 2018, 2018

Fast Video Shot Transition Localization with Deep Structured Models.

Shitao Tang, Litong Feng, Zhanghui Kuang, Yimin Chen, Wei Zhang

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Aggregated Deep Feature from Activation Clusters for Particular Object Retrieval.

Zhenfang Chen, Zhanghui Kuang, Kwan-Yee K. Wong, Wei Zhang

Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

2015

Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation.

Zhanghui Kuang, Chen Huang, Wei Zhang

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2013

Style Transfer Via Image Component Analysis.

Wei Zhang, Chen Cao, Shifeng Chen, Jianzhuang Liu, Xiaoou Tang

IEEE Trans. Multim., 2013

Agglomerative clustering via maximum incremental path integral.

Wei Zhang, Deli Zhao, Xiaogang Wang

Pattern Recognit., 2013

Toward designing intelligent PDEs for computer vision: An optimal control approach.

Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, Zhixun Su

Image Vis. Comput., 2013

Dimensionality Reduction with Generalized Linear Models.

Mo Chen, Wei Li, Xiaogang Wang, Wei Zhang

Proceedings of the IJCAI 2013, 2013

2012

Inter-modality image synthesis and recognition.

Wei Zhang

PhD thesis, 2012

Enabling Multilevel Trust in Privacy Preserving Data Mining.

Yaping Li, Minghua Chen, Qiwei Li, Wei Zhang

IEEE Trans. Knowl. Data Eng., 2012

Graph Degree Linkage: Agglomerative Clustering on a Directed Graph.

Wei Zhang, Xiaogang Wang, Deli Zhao, Xiaoou Tang

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction.

Wei Zhang, Zhouchen Lin, Xiaoou Tang

IEEE Trans. Knowl. Data Eng., 2011

Penrose Pixels for Super-Resolution.

Moshe Ben-Ezra, Zhouchen Lin, Bennett Wilburn, Wei Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Enabling Multi-level Trust in Privacy Preserving Data Mining

Yaping Li, Minghua Chen, Qiwei Li, Wei Zhang

CoRR, 2011

Coupled information-theoretic encoding for face photo-sketch recognition.

Wei Zhang, Xiaogang Wang, Xiaoou Tang

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Lighting and Pose Robust Face Sketch Synthesis.

Wei Zhang, Xiaogang Wang, Xiaoou Tang

Proceedings of the Computer Vision - ECCV 2010, 2010

Learning PDEs for Image Restoration via Optimal Control.

Risheng Liu, Zhouchen Lin, Wei Zhang, Zhixun Su

Proceedings of the Computer Vision, 2010

2009

Tensor linear Laplacian discrimination (TLLD) for feature extraction.

Wei Zhang, Zhouchen Lin, Xiaoou Tang

Pattern Recognit., 2009

Performance driven face animation via non-rigid 3d tracking.

Wei Zhang, Qiang Wang, Xiaoou Tang

Proceedings of the 17th International Conference on Multimedia 2009, 2009

2008

Real Time Feature Based 3-D Deformable Face Tracking.

Wei Zhang, Qiang Wang, Xiaoou Tang

Proceedings of the Computer Vision, 2008

2005

A probabilistic model for robust face alignment in videos.

Wei Zhang, Yi Zhou, Xiaoou Tang, Junhui Deng

Proceedings of the 2005 International Conference on Image Processing, 2005

A Bayesian Mixture Model for Multi-View Face Alignment.

Yi Zhou, Wei Zhang, Xiaoou Tang, Harry Shum

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005