Ming-Ming Cheng

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 314

Top Venues

CoRR

CVPR

IEEE Trans. Pattern Anal. Mach. Intell.

IEEE Trans. Image Process.

Publications

Huali Xu, Li Liu, Shuaifeng Zhi, Shaojing Fu, Zhuo Su, Ming-Ming Cheng, Yongxiang Liu
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning. CoRR (2024)
Deng-Ping Fan, Nick Barnes, Ming-Ming Cheng, Luc Van Gool
Editorial for Special Issue on Multi-modal Representation Learning. Mach. Intell. Res. 21 (4) (2024)
Penghai Zhao, Xin Zhang, Ming-Ming Cheng, Jian Yang, Xiang Li
A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence. CoRR (2024)
Jiaxiong Qiu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren
Rendering real-world unbounded scenes with cars by learning positional bias. Vis. Comput. 40 (6) (2024)
Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection. CoRR (2024)
Xuan-Yi Li, Daquan Zhou, Chenxu Zhang, Shaodong Wei, Qibin Hou, Ming-Ming Cheng
Sora Generates Videos with Stunning Geometrical Consistency. CoRR (2024)
Huali Xu, Li Liu, Shuaifeng Zhi, Shaojing Fu, Zhuo Su, Ming-Ming Cheng, Yongxiang Liu
Enhancing Information Maximization With Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning. IEEE Trans. Image Process. 33 (2024)
Yuxuan Li, Xiang Li, Yimain Dai, Qibin Hou, Li Liu, Yongxiang Liu, Ming-Ming Cheng, Jian Yang
LSKNet: A Foundation Lightweight Backbone for Remote Sensing. CoRR (2024)
Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, Qibin Hou
Towards Stable 3D Object Detection. CoRR (2024)
Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning. AAAI (2024)
Jiaxiong Qiu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren
NeRC: Rendering Planar Caustics by Learning Implicit Neural Representations. IEEE Trans. Vis. Comput. Graph. 30 (7) (2024)
Gang Xu, Qibin Hou, Ming-Ming Cheng
Dual Frequency Transformer for Efficient SDR-to-HDR Translation. Mach. Intell. Res. 21 (3) (2024)
Enguang Wang, Zhimao Peng, Zhengyuan Xie, Xialei Liu, Ming-Ming Cheng
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery. CoRR (2024)
Xu-Sheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng
Generative Multi-modal Models are Good Class-Incremental Learners. CoRR (2024)
Yunheng Li, Zhongyu Li, Quansheng Zeng, Qibin Hou, Ming-Ming Cheng
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. CoRR (2024)
Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng
Contrastive Masked Autoencoders are Stronger Vision Learners. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Jiaxiong Qiu, Yifan Zhu, Peng-Tao Jiang, Ming-Ming Cheng, Bo Ren
RDNeRF: relative depth guided NeRF for dense free view synthesis. Vis. Comput. 40 (3) (2024)
Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation. CoRR (2024)
Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng
Revisiting Computer-Aided Tuberculosis Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Bowen Yin, Xuying Zhang, Zhong-Yu Li, Li Liu, Ming-Ming Cheng, Qibin Hou
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. ICLR (2024)
Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng
Referring Camouflaged Object Detection. CoRR (2023)
Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng
Class-Specific Semantic Reconstruction for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen
Low-Resolution Self-Attention for Semantic Segmentation. CoRR (2023)
Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li
Large Selective Kernel Network for Remote Sensing Object Detection. ICCV (2023)
Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections. CoRR (2023)
Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ping Wang, Ming-Ming Cheng
Zone Evaluation: Revealing Spatial Bias in Object Detection. CoRR (2023)
Xuying Zhang, Bowen Yin, Yuming Chen, Zheng Lin, Yunheng Li, Qibin Hou, Ming-Ming Cheng
TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes. CoRR (2023)
Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou
SRFormer: Permuted Self-Attention for Single Image Super-Resolution. CoRR (2023)
Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
Masked Diffusion Transformer is a Strong Image Synthesizer. ICCV (2023)
Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool
Advances in deep concealed scene understanding. Vis. Intell. 1 (1) (2023)
Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li
Large Selective Kernel Network for Remote Sensing Object Detection. CoRR (2023)
Xialei Liu, Xu-Sheng Cao, Haori Lu, Jia-Wen Xiao, Andrew D. Bagdanov, Ming-Ming Cheng
Class Incremental Learning with Pre-trained Vision-Language Models. CoRR (2023)
Zhen Li, Zuo-Liang Zhu, Linghao Han, Qibin Hou, Chun-Le Guo, Ming-Ming Cheng
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation. CVPR (2023)
Senmao Li, Taihang Hu, Fahad Shahbaz Khan, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang
Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models. CoRR (2023)
Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
Masked Autoencoders are Efficient Class Incremental Learners. CoRR (2023)
Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Bowen Zhou, Ming-Ming Cheng, Luc Van Gool
SAM struggles in concealed scenes - empirical study on "Segment Anything". Sci. China Inf. Sci. 66 (12) (2023)
Jie Mei, Yibo Zheng, Ming-Ming Cheng
D2ANet: Difference-aware attention network for multi-level change detection from satellite imagery. Comput. Vis. Media 9 (3) (2023)
Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng
Localization Distillation for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Ze-Xin Yin, Jiaxiong Qiu, Ming-Ming Cheng, Bo Ren
Multi-Space Neural Radiance Fields. CVPR (2023)
Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr
Deeply Explain CNN Via Hierarchical Decomposition. Int. J. Comput. Vis. 131 (5) (2023)
Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao
Salient Objects in Clutter. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Zhen Li, Mingdeng Cao, Xintao Wang, Zhongang Qi, Ming-Ming Cheng, Ying Shan
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding. CoRR (2023)
Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
Masked Autoencoders are Efficient Class Incremental Learners. ICCV (2023)
Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Zhong-Yu Li, Bowen Yin, Shanghua Gao, Yongxiang Liu, Li Liu, Ming-Ming Cheng
Enhancing Representations through Heterogeneous Self-Supervised Learning. CoRR (2023)
Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Ming-Ming Cheng, Bowen Zhou, Luc Van Gool
SAM Struggles in Concealed Scenes - Empirical Study on "Segment Anything". CoRR (2023)
Jia-Wen Xiao, Chang-Bin Zhang, Jiekang Feng, Xialei Liu, Joost van de Weijer, Ming-Ming Cheng
Endpoints Weight Fusion for Class Incremental Semantic Segmentation. CVPR (2023)
Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
Masked Diffusion Transformer is a Strong Image Synthesizer. CoRR (2023)
Yunheng Li, Zhongyu Li, Shanghua Gao, Qilong Wang, Qibin Hou, Ming-Ming Cheng
A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation. CoRR (2023)
Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ming-Ming Cheng
Towards Spatial Equilibrium Object Detection. CoRR (2023)
Zhen Li, Zuo-Liang Zhu, Linghao Han, Qibin Hou, Chun-Le Guo, Ming-Ming Cheng
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation. CoRR (2023)
Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou
CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection. CoRR (2023)
Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Jiang-Jiang Liu, Qibin Hou, Zhi-Ang Liu, Ming-Ming Cheng
PoolNet+: Exploring the Potential of Pooling for Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Bo-Yuan Sun, Yuqi Yang, Le Zhang, Ming-Ming Cheng, Qibin Hou
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation. CoRR (2023)
Chengze Lu, Xiaojie Jin, Zhicheng Huang, Qibin Hou, Ming-Ming Cheng, Jiashi Feng
CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition. CoRR (2023)
Ziyue Zhu, Zhao Zhang, Zheng Lin, Xing Sun, Ming-Ming Cheng
Co-Salient Object Detection with Co-Representation Purification. CoRR (2023)
Bowen Yin, Xuying Zhang, Zhongyu Li, Li Liu, Ming-Ming Cheng, Qibin Hou
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. CoRR (2023)
Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng
P2T: Pyramid Pooling Transformer for Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool
Advances in Deep Concealed Scene Understanding. CoRR (2023)
Ziyue Zhu, Zhao Zhang, Zheng Lin, Xing Sun, Ming-Ming Cheng
Co-Salient Object Detection With Co-Representation Purification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Jiang-Tian Zhai, Qi Zhang, Tong Wu, Xing-Yu Chen, Jiang-Jiang Liu, Ming-Ming Cheng
SLAN: Self-Locator Aided Network for Vision-Language Understanding. ICCV (2023)
Shanghua Gao, Zhijie Lin, Xingyu Xie, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation. ACM Multimedia (2023)
Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng
Revisiting Computer-Aided Tuberculosis Diagnosis. CoRR (2023)
Zhong-Yu Li, Shanghua Gao, Ming-Ming Cheng
SERE: Exploring Feature Self-Relation for Self-Supervised Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Yuming Chen, Xinbin Yuan, Ruiqi Wu, Jiabao Wang, Qibin Hou, Ming-Ming Cheng
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection. CoRR (2023)
Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou
SRFormer: Permuted Self-Attention for Single Image Super-Resolution. ICCV (2023)
Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu
Visual attention network. Comput. Vis. Media 9 (4) (2023)
Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections. CVPR (2023)
Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip H. S. Torr
Large-Scale Unsupervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng
Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning. CoRR (2023)
Cheng-Ze Lu, Xiaojie Jin, Qibin Hou, Jun Hao Liew, Ming-Ming Cheng, Jiashi Feng
Delving Deeper into Data Scaling in Masked Image Modeling. CoRR (2023)
Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen
Traffic Scene Parsing through the TSP6K Dataset. CoRR (2023)
Ze-Xin Yin, Jiaxiong Qiu, Ming-Ming Cheng, Bo Ren
Multi-Space Neural Radiance Fields. CoRR (2023)
Wenguan Wang, Ming-Ming Cheng, Haibin Ling, Fatih Porikli
Editorial: Human visual saliency and artificial neural attention in deep learning. Neurocomputing 491 (2022)
Shijie Li, Ming-Ming Cheng, Juergen Gall
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis. CoRR (2022)
Shijie Li, Ming-Ming Cheng, Jürgen Gall
Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis. BMVC (2022)
Zuo-Liang Zhu, Zhen Li, Rui-Xun Zhang, Chunle Guo, Ming-Ming Cheng
Designing An Illumination-Aware Network for Deep Image Relighting. CoRR (2022)
Zhen Li, Chengze Lu, Jianhua Qin, Chunle Guo, Ming-Ming Cheng
Towards An End-to-End Framework for Flow-Guided Video Inpainting. CoRR (2022)
Deng-Ping Fan, Tengpeng Li, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Ming-Ming Cheng, Huazhu Fu, Jianbing Shen
Re-Thinking Co-Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Xiaotao Hu, Jun Xu, Shuhang Gu, Ming-Ming Cheng, Li Liu
Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks. ECCV (19) (2022)
Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr
Deeply Explain CNN via Hierarchical Decomposition. CoRR (2022)
Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. CoRR (2022)
Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng, Bo Ren
EDN: Salient Object Detection via Extremely-Downsampled Network. IEEE Trans. Image Process. 31 (2022)
Yu-Huan Wu, Da Zhang, Le Zhang, Xin Zhan, Dengxin Dai, Yun Liu, Ming-Ming Cheng
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes. CoRR (2022)
Yun Liu, Ming-Ming Cheng, Deng-Ping Fan, Le Zhang, Jia-Wang Bian, Dacheng Tao
Semantic Edge Detection with Diverse Deep Supervision. Int. J. Comput. Vis. 130 (1) (2022)
Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng
Class-Specific Semantic Reconstruction for Open Set Recognition. CoRR (2022)
Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu
Attention mechanisms in computer vision: A survey. Comput. Vis. Media 8 (3) (2022)
Kai Zhao, Qi Han, Chang-Bin Zhang, Jun Xu, Ming-Ming Cheng
Deep Hough Transform for Semantic Line Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Qi Han, Zejia Fan, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, Jingdong Wang
On the Connection between Local Attention and Dynamic Depth-wise Convolution. ICLR (2022)
Peng-Tao Jiang, Linghao Han, Qibin Hou, Ming-Ming Cheng, Yunchao Wei
Online Attention Accumulation for Weakly Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Ming-Ming Cheng, Shang-Hua Gao, Ali Borji, Yong-Qiang Tan, Zheng Lin, Meng Wang
A Highly Efficient Model to Study the Semantics of Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder. CoRR (2022)
Gang Xu, Qibin Hou, Le Zhang, Ming-Ming Cheng
FMNet: Frequency-Aware Modulation Network for SDR-to-HDR Translation. ACM Multimedia (2022)
Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
Towards Sustainable Self-supervised Learning. CoRR (2022)
Zhen Li, Chengze Lu, Jianhua Qin, Chun-Le Guo, Ming-Ming Cheng
Towards An End-to-End Framework for Flow-Guided Video Inpainting. CVPR (2022)
Jiang-Tian Zhai, Qi Zhang, Tong Wu, Xing-Yu Chen, Jiang-Jiang Liu, Bo Ren, Ming-Ming Cheng
SLAN: Self-Locator Aided Network for Cross-Modal Understanding. CoRR (2022)
Qibin Hou, Chengze Lu, Ming-Ming Cheng, Jiashi Feng
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition. CoRR (2022)
Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, Shi-Min Hu
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation. NeurIPS (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ming-Ming Cheng