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ORCIDGuiguang Ding
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- affiliation: Tsinghua University, Beijing, China
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2020 – today
- 2024
[j59]Yunqi Miao
, Jiankang Deng, Guiguang Ding, Jungong Han:
Confidence-Guided Centroids for Unsupervised Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 19: 6471-6483 (2024)- [j58]Tianxiang Hao, Xiaohan Ding, Jungong Han, Yuchen Guo, Guiguang Ding:
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16831-16844 (2024) - [c128]Juexiao Feng, Yuhong Yang, Yanchun Xie, Yaqian Li, Yandong Guo, Yuchen Guo, Yuwei He, Liuyu Xiang, Guiguang Ding:
Debiased Novel Category Discovering and Localization. AAAI 2024: 1753-1760 - [c127]Fan Yang, Hui Chen, Yuwei He, Sicheng Zhao, Chenghao Zhang, Kai Ni, Guiguang Ding:
Geometry-Guided Domain Generalization for Monocular 3D Object Detection. AAAI 2024: 6467-6476 - [c126]Sicheng Zhao, Jianhua Tao, Guiguang Ding:
Open-world Domain Adaptation and Generalization. ACM TUR-C 2024 - [c125]Xin Zhao, Jiaxin Li, Zhiwei Fang, Yuchen Guo, Jinyuan Zhao, Jie He, Wenlong Chen, Changping Peng, Guiguang Ding:
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System. AAMAS 2024: 2612-2614 - [c124]Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding:
One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications. CVPR 2024: 7559-7568 - [c123]Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding:
Rep ViT: Revisiting Mobile CNN From ViT Perspective. CVPR 2024: 15909-15920 - [c122]Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han, Guiguang Ding:
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection. ECAI 2024: 2098-2105 - [c121]Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding:
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence. ECCV (1) 2024: 228-246 - [c120]Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding:
PYRA: Parallel Yielding Re-activation for Training-Inference Efficient Task Adaptation. ECCV (9) 2024: 455-473 - [c119]Tao He, Leqi Shen, Guiguang Ding, Zhiheng Zhou, Tianshi Xu, Xiaofeng Jin, Yuheng Huang:
Balanced Active Sampling for Person Re-identification. ICME 2024: 1-6 - [c118]Tao He, Leqi Shen, Guiguang Ding, Zhiheng Zhou, Tianshi Xu, Xiaofeng Jin, Yuheng Huang:
Camera Bias Regularization for Person Re-identification. ICME 2024: 1-6 - [c117]Leqi Shen, Tao He, Sicheng Zhao, Zhelun Shen, Yuchen Guo, Tianshi Xu, Guiguang Ding:
X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification. ICME 2024: 1-6 - [c116]Hui-Yue Yang, Hui Chen, Fan Zhang, Xiang Tian, Luning Zhu, Guiguang Ding:
A Simple Confidence-Supervised Model for High-Resolution Defect Recognition. ICRCA 2024: 380-384 - [c115]Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding:
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks. IJCAI 2024: 6587-6596 - [c114]Sicheng Zhao, Hui Chen, Hu Huang, Pengfei Xu, Guiguang Ding:
More is Better: Deep Domain Adaptation with Multiple Sources. IJCAI 2024: 8354-8362 - [c113]Leqi Shen, Sicheng Zhao, Yifeng Zhang, Hui Chen, Jundong Zhou, Pengzhang Liu, Yongjun Bao, Guiguang Ding:
Multi-Label Learning with Block Diagonal Labels. ACM Multimedia 2024: 4832-4840 - [c112]Zhenpeng Su, Zijia Lin, Bai Xue, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu:
MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models. NAACL-HLT (Findings) 2024: 250-262 - [i57]Juexiao Feng, Yuhong Yang, Yanchun Xie, Yaqian Li, Yandong Guo, Yuchen Guo, Yuwei He, Liuyu Xiang, Guiguang Ding:
Debiased Novel Category Discovering and Localization. CoRR abs/2402.18821 (2024) - [i56]Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding:
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation. CoRR abs/2403.09192 (2024) - [i55]Yizhe Xiong, Xiansheng Chen, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Jianwei Niu, Guiguang Ding:
Temporal Scaling Law for Large Language Models. CoRR abs/2404.17785 (2024) - [i54]Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Peng Liu, Hui Chen, Guiguang Ding:
Scaffold-BPE: Enhancing Byte Pair Encoding with Simple and Effective Scaffold Token Removal. CoRR abs/2404.17808 (2024) - [i53]Sicheng Zhao, Hui Chen, Hu Huang, Pengfei Xu, Guiguang Ding:
More is Better: Deep Domain Adaptation with Multiple Sources. CoRR abs/2405.00749 (2024) - [i52]Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding:
YOLOv10: Real-Time End-to-End Object Detection. CoRR abs/2405.14458 (2024) - [i51]Zhenpeng Su, Zijia Lin, Xue Bai, Xing Wu, Yizhe Xiong, Haoran Lian, Guangyuan Ma, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu:
MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts. CoRR abs/2407.09816 (2024) - [i50]Tianxiang Hao, Xiaohan Ding, Juexiao Feng, Yuhong Yang, Hui Chen, Guiguang Ding:
Quantized Prompt for Efficient Generalization of Vision-Language Models. CoRR abs/2407.10704 (2024) - [i49]Zhen Qu, Xian Tao, Mukesh Prasad, Fei Shen, Zhengtao Zhang, Xinyi Gong, Guiguang Ding:
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation. CoRR abs/2407.12276 (2024) - [i48]Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding:
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence. CoRR abs/2407.18899 (2024) - [i47]Yifan Feng, Jiangang Huang, Shaoyi Du, Shihui Ying, Jun-Hai Yong, Yipeng Li, Guiguang Ding, Rongrong Ji, Yue Gao:
Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation. CoRR abs/2408.04804 (2024) - [i46]Fan Yang, Sicheng Zhao, Yanhao Zhang, Haoxiang Chen, Hui Chen, Wenbo Tang, Haonan Lu, Pengfei Xu, Zhenyu Yang, Jungong Han, Guiguang Ding:
LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image. CoRR abs/2408.07422 (2024) - [i45]Leqi Shen, Tianxiang Hao, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding:
TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval. CoRR abs/2409.01156 (2024) - [i44]Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han, Guiguang Ding:
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection. CoRR abs/2409.06285 (2024) - [i43]Zhenpeng Su, Xing Wu, Zijia Lin, Yizhe Xiong, Minxuan Lv, Guangyuan Ma, Hui Chen, Songlin Hu, Guiguang Ding:
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts. CoRR abs/2410.16077 (2024) - 2023
- [j57]Mingqi Gao, Feng Zheng, James J. Q. Yu, Caifeng Shan, Guiguang Ding, Jungong Han:
Deep learning for video object segmentation: a review. Artif. Intell. Rev. 56(1): 457-531 (2023) - [j56]Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Yuwei He, Kai Ni, Guiguang Ding:
GPro3D: Deriving 3D BBox from ground plane in monocular 3D object detection. Neurocomputing 562: 126894 (2023) - [j55]Sicheng Zhao, Xiaopeng Hong, Jufeng Yang, Yanyan Zhao, Guiguang Ding:
Toward Label-Efficient Emotion and Sentiment Analysis. Proc. IEEE 111(10): 1159-1197 (2023) - [j54]Liuyu Xiang, Jungong Han, Guiguang Ding:
Margin-aware rectified augmentation for long-tailed recognition. Pattern Recognit. 141: 109608 (2023) - [c111]Mengyao Lyu, Jundong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yandong Guo, Yuchen Guo, Liuyu Xiang, Guiguang Ding:
Box-Level Active Detection. CVPR 2023: 23766-23775 - [c110]Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Guiguang Ding:
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation. ICCV 2023: 11587-11597 - [c109]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Kaiqi Huang, Jungong Han, Guiguang Ding:
Re-parameterizing Your Optimizers rather than Architectures. ICLR 2023 - [c108]Tianxiang Hao, Hui Chen, Yuchen Guo, Guiguang Ding:
Consolidator: Mergable Adapter with Group Connections for Visual Adaptation. ICLR 2023 - [c107]Ao Wang, Hui Chen, Zijia Lin, Zixuan Ding, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Guiguang Ding:
Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels. ACM Multimedia 2023: 5594-5604 - [i42]Leqi Shen, Tao He, Yuchen Guo, Guiguang Ding:
X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification. CoRR abs/2302.02075 (2023) - [i41]Mengyao Lyu, Jundong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yandong Guo, Yuchen Guo, Liuyu Xiang, Guiguang Ding:
Box-Level Active Detection. CoRR abs/2303.13089 (2023) - [i40]Tianxiang Hao, Hui Chen, Yuchen Guo, Guiguang Ding:
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation. CoRR abs/2305.00603 (2023) - [i39]Ao Wang, Hui Chen, Zijia Lin, Hengjun Pu, Guiguang Ding:
RepViT: Revisiting Mobile CNN From ViT Perspective. CoRR abs/2307.09283 (2023) - [i38]Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Guiguang Ding:
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation. CoRR abs/2309.15575 (2023) - [i37]Ao Wang, Hui Chen, Zijia Lin, Sicheng Zhao, Jungong Han, Guiguang Ding:
CAIT: Triple-Win Compression towards High Accuracy, Fast Inference, and Favorable Transferability For ViTs. CoRR abs/2309.15755 (2023) - [i36]Zhenpeng Su, Xing Wu, Xue Bai, Zijia Lin, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu:
InfoEntropy Loss to Mitigate Bias of Learning Difficulties for Generative Language Models. CoRR abs/2310.19531 (2023) - [i35]Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding:
RepViT-SAM: Towards Real-Time Segmenting Anything. CoRR abs/2312.05760 (2023) - [i34]Tianxiang Hao, Mengyao Lyu, Hui Chen, Sicheng Zhao, Jungong Han, Guiguang Ding:
Re-parameterized Low-rank Prompt: Generalize a Vision-Language Model within 0.5K Parameters. CoRR abs/2312.10813 (2023) - [i33]Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding:
One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications. CoRR abs/2312.16145 (2023) - 2022
- [j53]Yaoqi Sun, Liang Li, Tingting Yao, Tongyv Lu, Bolun Zheng, Chenggang Yan, Hua Zhang, Yongjun Bao, Guiguang Ding, Gregory G. Slabaugh:
Bidirectional difference locating and semantic consistency reasoning for change captioning. Int. J. Intell. Syst. 37(5): 2969-2987 (2022) - [j52]Kai Chen, Zerun Wang, Xueyang Wang, Dahan Gong, Longlong Yu, Yuchen Guo, Guiguang Ding:
Towards real-time object detection in GigaPixel-level video. Neurocomputing 477: 14-24 (2022) - [j51]Yu Fu, Liuyu Xiang, Yumna Zahid, Guiguang Ding, Tao Mei, Qiang Shen, Jungong Han:
Long-tailed visual recognition with deep models: A methodological survey and evaluation. Neurocomputing 509: 290-309 (2022) - [j50]Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6729-6751 (2022) - [j49]Hancheng Zhu, Leida Li, Jinjian Wu, Sicheng Zhao, Guiguang Ding, Guangming Shi:
Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization. IEEE Trans. Cybern. 52(3): 1798-1811 (2022) - [j48]Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer:
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. IEEE Trans. Cybern. 52(10): 10000-10013 (2022) - [c106]Tao He, Leqi Shen, Yuchen Guo, Guiguang Ding, Zhenhua Guo:
SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification. AAAI 2022: 879-887 - [c105]Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding:
ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising. AAAI 2022: 2786-2794 - [c104]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. CVPR 2022: 568-577 - [c103]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs. CVPR 2022: 11953-11965 - [c102]Kai Chen, Weihua Chen, Tao He, Rong Du, Fan Wang, Xiuyu Sun, Yuchen Guo, Guiguang Ding:
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification. ACM Multimedia 2022: 560-571 - [i32]Xiaohan Ding, Xiangyu Zhang, Yizhuang Zhou, Jungong Han, Guiguang Ding, Jian Sun:
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs. CoRR abs/2203.06717 (2022) - [i31]Hehan Teng, Tao He, Yuchen Guo, Zhenhua Guo, Guiguang Ding:
A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets. CoRR abs/2204.00891 (2022) - [i30]Hehan Teng, Tao He, Yuchen Guo, Guiguang Ding:
A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets. CoRR abs/2205.03124 (2022) - [i29]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Kaiqi Huang, Jungong Han, Guiguang Ding:
Re-parameterizing Your Optimizers rather than Architectures. CoRR abs/2205.15242 (2022) - [i28]Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Jungong Han, Kai Ni, Guiguang Ding:
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection. CoRR abs/2211.01556 (2022) - [i27]Yunqi Miao, Jiankang Deng, Guiguang Ding, Jungong Han:
Confidence-guided Centroids for Unsupervised Person Re-Identification. CoRR abs/2211.11921 (2022) - 2021
- [j47]Hui Chen, Guiguang Ding, Zijia Lin, Yuchen Guo, Caifeng Shan, Jungong Han:
Image Captioning with Memorized Knowledge. Cogn. Comput. 13(4): 807-820 (2021) - [j46]Sicheng Zhao, Bo Li, Pengfei Xu, Xiangyu Yue, Guiguang Ding, Kurt Keutzer:
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation. Int. J. Comput. Vis. 129(8): 2399-2424 (2021) - [j45]Zixi Wang, Guiguang Ding, Jungong Han, Fan Li:
Deep image compression with multi-stage representation. J. Vis. Commun. Image Represent. 79: 103226 (2021) - [j44]Sicheng Zhao, Guoli Jia, Jufeng Yang, Guiguang Ding, Kurt Keutzer:
Emotion Recognition From Multiple Modalities: Fundamentals and methodologies. IEEE Signal Process. Mag. 38(6): 59-73 (2021) - [j43]Guiguang Ding, Shuo Zhang, Zizhou Jia, Jing Zhong, Jungong Han:
Where to Prune: Using LSTM to Guide Data-Dependent Soft Pruning. IEEE Trans. Image Process. 30: 293-304 (2021) - [j42]Yunqi Miao, Zijia Lin, Xiao Ma, Guiguang Ding, Jungong Han:
Learning Transformation-Invariant Local Descriptors With Low-Coupling Binary Codes. IEEE Trans. Image Process. 30: 7554-7566 (2021) - [j41]Hongfa Wen, Chenggang Yan, Xiaofei Zhou, Runmin Cong, Yaoqi Sun, Bolun Zheng, Jiyong Zhang, Yongjun Bao, Guiguang Ding:
Dynamic Selective Network for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30: 9179-9192 (2021) - [c101]Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding:
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans. AAAI 2021: 4821-4829 - [c100]Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan:
The 2020 Low-Power Computer Vision Challenge. AICAS 2021: 1-4 - [c99]Liuyu Xiang, Guiguang Ding, Jungong Han:
Increasing Oversampling Diversity for Long-Tailed Visual Recognition. CICAI 2021: 39-50 - [c98]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
Diverse Branch Block: Building a Convolution as an Inception-Like Unit. CVPR 2021: 10886-10895 - [c97]Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun:
RepVGG: Making VGG-Style ConvNets Great Again. CVPR 2021: 13733-13742 - [c96]Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding:
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. ICCV 2021: 4490-4500 - [i26]Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun:
RepVGG: Making VGG-style ConvNets Great Again. CoRR abs/2101.03697 (2021) - [i25]Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding:
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans. CoRR abs/2101.05442 (2021) - [i24]Sicheng Zhao, Quanwei Huang, Youbao Tang, Xingxu Yao, Jufeng Yang, Guiguang Ding, Björn W. Schuller:
Computational Emotion Analysis From Images: Recent Advances and Future Directions. CoRR abs/2103.10798 (2021) - [i23]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
Diverse Branch Block: Building a Convolution as an Inception-like Unit. CoRR abs/2103.13425 (2021) - [i22]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition. CoRR abs/2105.01883 (2021) - [i21]Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. CoRR abs/2106.16125 (2021) - [i20]Xiaohan Ding, Tianxiang Hao, Jungong Han, Yuchen Guo, Guiguang Ding:
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN. CoRR abs/2107.14444 (2021) - [i19]Sicheng Zhao, Guoli Jia, Jufeng Yang, Guiguang Ding, Kurt Keutzer:
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies. CoRR abs/2108.10152 (2021) - [i18]Zerun Wang, Liuyu Xiang, Fan Yang, Jinzhao Qian, Jie Hu, Haidong Huang, Jungong Han, Yuchen Guo, Guiguang Ding:
LODE: Deep Local Deblurring and A New Benchmark. CoRR abs/2109.09149 (2021) - [i17]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. CoRR abs/2112.11081 (2021) - [i16]Kai Chen, Weihua Chen, Tao He, Rong Du, Fan Wang, Xiuyu Sun, Yuchen Guo, Guiguang Ding:
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification. CoRR abs/2112.14239 (2021) - 2020
- [j40]Wenchao Li, Xin Liu, Chenggang Yan, Guiguang Ding, Yaoqi Sun, Jiyong Zhang:
STS: Spatial-Temporal-Semantic Personalized Location Recommendation. ISPRS Int. J. Geo Inf. 9(9): 538 (2020) - [j39]Jiachen Yang, Chaofan Ma, Bin Jiang, Guiguang Ding, Gan Zheng, Huihui Wang:
Joint Optimization in Cached-Enabled Heterogeneous Network for Efficient Industrial IoT. IEEE J. Sel. Areas Commun. 38(5): 831-844 (2020) - [j38]Yuwei He, Guiguang Ding:
Deep Transfer Learning for Image Emotion Analysis: Reducing Marginal and Joint Distribution Discrepancies Together. Neural Process. Lett. 51(3): 2077-2086 (2020) - [j37]Yuwei He, Guiguang Ding:
Correction to: Deep Transfer Learning for Image Emotion Analysis: Reducing Marginal and Joint Distribution Discrepancies Together. Neural Process. Lett. 51(3): 2087-2088 (2020) - [j36]Sicheng Zhao, Guiguang Ding, Yue Gao, Xin Zhao, Youbao Tang, Jungong Han, Hongxun Yao, Qingming Huang:
Discrete Probability Distribution Prediction of Image Emotions with Shared Sparse Learning. IEEE Trans. Affect. Comput. 11(4): 574-587 (2020) - [j35]Leida Li, Hancheng Zhu, Sicheng Zhao, Guiguang Ding, Weisi Lin:
Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment. IEEE Trans. Image Process. 29: 3898-3910 (2020) - [j34]Gengshen Wu, Zijia Lin, Guiguang Ding, Qiang Ni, Jungong Han:
On Aggregation of Unsupervised Deep Binary Descriptor With Weak Bits. IEEE Trans. Image Process. 29: 9266-9278 (2020) - [j33]Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Xiaopeng Gu, Wenyuan Xu, Jungong Han:
ACMNet: Adaptive Confidence Matching Network for Human Behavior Analysis via Cross-modal Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 27:1-27:21 (2020) - [c95]Yuwei He, Xiaoming Jin, Guiguang Ding, Yuchen Guo, Jungong Han, Jiyong Zhang, Sicheng Zhao:
Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data. AAAI 2020: 4099-4106 - [c94]Yunqi Miao, Zijia Lin, Guiguang Ding, Jungong Han:
Shallow Feature Based Dense Attention Network for Crowd Counting. AAAI 2020: 11765-11772 - [c93]Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J. Brady, Qionghai Dai, Lu Fang:
PANDA: A Gigapixel-Level Human-Centric Video Dataset. CVPR 2020: 3265-3275 - [c92]Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han:
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. CVPR 2020: 12652-12660 - [c91]Liuyu Xiang, Guiguang Ding, Jungong Han:
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-Tailed Classification. ECCV (5) 2020: 247-263 - [i15]