Ding, Guiguang

87 publications

CVPR 2025 Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection Zhen Qu, Xian Tao, Xinyi Gong, ShiChen Qu, Qiyu Chen, Zhengtao Zhang, Xingang Wang, Guiguang Ding

ICCV 2025 DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup Zhen Qu, Xian Tao, Xinyi Gong, ShiChen Qu, Xiaopei Zhang, Xingang Wang, Fei Shen, Zhengtao Zhang, Mukesh Prasad, Guiguang Ding

CVPR 2025 DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Leqi Shen, Guoqiang Gong, Tianxiang Hao, Tao He, Yifeng Zhang, Pengzhang Liu, Sicheng Zhao, Jungong Han, Guiguang Ding

IJCAI 2025 Exploiting Position Information in Convolutional Kernels for Structural Re-Parameterization Tianxiang Hao, Hui Chen, Guiguang Ding

NeurIPS 2025 FastVID: Dynamic Density Pruning for Fast Video Large Language Models Leqi Shen, Guoqiang Gong, Tao He, Yifeng Zhang, Pengzhang Liu, Sicheng Zhao, Guiguang Ding

CVPR 2025 HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator Fan Yang, Ru Zhen, Jianing Wang, Yanhao Zhang, Haoxiang Chen, Haonan Lu, Sicheng Zhao, Guiguang Ding

CVPR 2025 LSNet: See Large, Focus Small Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

NeurIPS 2025 PrefixKV: Adaptive Prefix KV Cache Is What Vision Instruction-Following Models Need for Efficient Generation Ao Wang, Hui Chen, Jianchao Tan, Kefeng Zhang, Xunliang Cai, Zijia Lin, Jungong Han, Guiguang Ding

AAAI 2025 Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Hui-Yue Yang, Hui Chen, Ao Wang, Kai Chen, Zijia Lin, Yongliang Tang, Pengcheng Gao, Yuming Quan, Jungong Han, Guiguang Ding

AAAI 2025 Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Hui Chen, Jungong Han, Guiguang Ding

ICLR 2025 TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval Leqi Shen, Tianxiang Hao, Tao He, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding

ICCV 2025 YOLOE: Real-Time Seeing Anything Ao Wang, Lihao Liu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

AAAI 2024 Debiased Novel Category Discovering and Localization Juexiao Feng, Yuhong Yang, Yanchun Xie, Yaqian Li, Yandong Guo, Yuchen Guo, Yuwei He, Liuyu Xiang, Guiguang Ding

AAAI 2024 Geometry-Guided Domain Generalization for Monocular 3D Object Detection Fan Yang, Hui Chen, Yuwei He, Sicheng Zhao, Chenghao Zhang, Kai Ni, Guiguang Ding

ECCV 2024 Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

IJCAI 2024 More Is Better: Deep Domain Adaptation with Multiple Sources Sicheng Zhao, Hui Chen, Hu Huang, Pengfei Xu, Guiguang Ding

CVPR 2024 One-Dimensional Adapter to Rule Them All: Concepts Diffusion Models and Erasing Applications Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding

ECCV 2024 PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding

ECCV 2024 Quantized Prompt for Efficient Generalization of Vision-Language Models Tianxiang Hao, Xiaohan Ding, Juexiao Feng, Yuhong Yang, Hui Chen, Guiguang Ding

CVPR 2024 RepViT: Revisiting Mobile CNN from ViT Perspective Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

NeurIPS 2024 Revisiting Motion Information for RGB-Event Tracking with MOT Philosophy Tianlu Zhang, Kurt Debattista, Qiang Zhang, Guiguang Ding, Jungong Han

IJCAI 2024 TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding

ECCV 2024 VCP-CLIP: A Visual Context Prompting Model for Zero-Shot Anomaly Segmentation Zhen Qu, Xian Tao, Mukesh Prasad, Fei Shen, Zhengtao Zhang, Xinyi Gong, Guiguang Ding

NeurIPS 2024 YOLOv10: Real-Time End-to-End Object Detection Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding

CVPR 2023 Box-Level Active Detection Mengyao Lyu, Jundong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yandong Guo, Yuchen Guo, Liuyu Xiang, Guiguang Ding

ICCV 2023 Confidence-Based Visual Dispersal for Few-Shot Unsupervised Domain Adaptation Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Guiguang Ding

ICLR 2023 Consolidator: Mergable Adapter with Group Connections for Visual Adaptation Tianxiang Hao, Hui Chen, Yuchen Guo, Guiguang Ding

ICLR 2023 Re-Parameterizing Your Optimizers Rather than Architectures Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Kaiqi Huang, Jungong Han, Guiguang Ding

AAAI 2022 ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding

CVPR 2022 RepMLPNet: Hierarchical Vision MLP with Re-Parameterized Locality Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding

AAAI 2022 SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-Identification Tao He, Leqi Shen, Yuchen Guo, Guiguang Ding, Zhenhua Guo

CVPR 2022 Scaling up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding

AAAI 2021 Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding

CVPR 2021 Diverse Branch Block: Building a Convolution as an Inception-like Unit Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding

CVPR 2021 RepVGG: Making VGG-Style ConvNets Great Again Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun

ICCV 2021 ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding

AAAI 2020 Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data Yuwei He, Xiaoming Jin, Guiguang Ding, Yuchen Guo, Jungong Han, Jiyong Zhang, Sicheng Zhao

ECCV 2020 Learning from Multiple Experts: Self-Paced Knowledge Distillation for Long-Tailed Classification Liuyu Xiang, Guiguang Ding, Jungong Han

AAAI 2020 Shallow Feature Based Dense Attention Network for Crowd Counting Yunqi Miao, Zijia Lin, Guiguang Ding, Jungong Han

AAAI 2019 Adaptive Region Embedding for Text Classification Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding

ICML 2019 Approximated Oracle Filter Pruning for Destructive CNN Width Optimization Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan

AAAI 2019 CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer

AAAI 2019 Dual-View Ranking with Hardness Assessment for Zero-Shot Learning Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai

AAAI 2019 GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Börje Karlsson

NeurIPS 2019 Global Sparse Momentum SGD for Pruning Very Deep Neural Networks Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu

IJCAI 2019 Incremental Few-Shot Learning for Pedestrian Attribute Recognition Liuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li

IJCAI 2019 Landmark Selection for Zero-Shot Learning Yuchen Guo, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, Qionghai Dai

IJCAI 2019 Low Shot Box Correction for Weakly Supervised Object Detection Tianxiang Pan, Bin Wang, Guiguang Ding, Jungong Han, Jun-Hai Yong

AAAI 2019 Recurrent Attention Model for Pedestrian Attribute Recognition Xin Zhao, Liufang Sang, Guiguang Ding, Jungong Han, Na Di, Chenggang Yan

IJCAI 2019 Zero-Shot Learning with Many Classes by High-Rank Deep Embedding Networks Yuchen Guo, Guiguang Ding, Jungong Han, Hang Shao, Xin Lou, Qionghai Dai

IJCAI 2018 Affective Image Content Analysis: A Comprehensive Survey Sicheng Zhao, Guiguang Ding, Qingming Huang, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer

AAAI 2018 Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks Xiaohan Ding, Guiguang Ding, Jungong Han, Sheng Tang

IJCAI 2018 Automatic Gating of Attributes in Deep Structure Xiaoming Jin, Tao He, Cheng Wan, Lan Yi, Guiguang Ding, Dou Shen

IJCAI 2018 Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning Xin Zhao, Liufang Sang, Guiguang Ding, Yuchen Guo, Xiaoming Jin

IJCAI 2018 Implicit Non-Linear Similarity Scoring for Recognizing Unseen Classes Yuchen Guo, Guiguang Ding, Jungong Han, Sicheng Zhao, Bin Wang

AAAI 2018 On Trivial Solution and High Correlation Problems in Deep Supervised Hashing Yuchen Guo, Xin Zhao, Guiguang Ding, Jungong Han

IJCAI 2018 Personality-Aware Personalized Emotion Recognition from Physiological Signals Sicheng Zhao, Guiguang Ding, Jungong Han, Yue Gao

IJCAI 2018 Show, Observe and Tell: Attribute-Driven Attention Model for Image Captioning Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han

AAAI 2018 Temporal-Difference Learning with Sampling Baseline for Image Captioning Hui Chen, Guiguang Ding, Sicheng Zhao, Jungong Han

IJCAI 2018 Unsupervised Deep Hashing via Binary Latent Factor Models for Large-Scale Cross-Modal Retrieval Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen

IJCAI 2018 Where to Prune: Using LSTM to Guide End-to-End Pruning Jing Zhong, Guiguang Ding, Yuchen Guo, Jungong Han, Bin Wang

AAAI 2018 Zero-Shot Learning with Attribute Selection Yuchen Guo, Guiguang Ding, Jungong Han, Sheng Tang

AAAI 2017 Active Learning with Cross-Class Similarity Transfer Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han

IJCAI 2017 Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion Sicheng Zhao, Guiguang Ding, Yue Gao, Jungong Han

CVPR 2017 From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han

AAAI 2017 Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation Tianxiang Pan, Bin Wang, Guiguang Ding, Jun-Hai Yong

AAAI 2017 Reference Based LSTM for Image Captioning Minghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han

IJCAI 2017 SitNet: Discrete Similarity Transfer Network for Zero-Shot Hashing Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao

IJCAI 2017 Synthesizing Samples for Zero-Shot Learning Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao

IJCAI 2017 TUCH: Turning Cross-View Hashing into Single-View Hashing via Generative Adversarial Nets Xin Zhao, Guiguang Ding, Yuchen Guo, Jungong Han, Yue Gao

IJCAI 2017 Unsupervised Deep Video Hashing with Balanced Rotation Gengshen Wu, Li Liu, Yuchen Guo, Guiguang Ding, Jungong Han, Jialie Shen, Ling Shao

AAAI 2017 Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao

AAAI 2016 Active Learning with Cross-Class Knowledge Transfer Yuchen Guo, Guiguang Ding, Yuqi Wang, Xiaoming Jin

AAAI 2016 Multi-Domain Active Learning for Recommendation Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang

IJCAI 2016 Robust Iterative Quantization for Efficient ℓp-Norm Similarity Search Yuchen Guo, Guiguang Ding, Jungong Han, Xiaoming Jin

IJCAI 2016 Semi-Supervised Active Learning with Cross-Class Sample Transfer Yuchen Guo, Guiguang Ding, Yue Gao, Jianmin Wang

AAAI 2016 Transductive Zero-Shot Recognition via Shared Model Space Learning Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang

AAAI 2015 Gaussian Cardinality Restricted Boltzmann Machines Cheng Wan, Xiaoming Jin, Guiguang Ding, Dou Shen

AAAI 2015 Learning Predictable and Discriminative Attributes for Visual Recognition Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang

CVPR 2015 Semantics-Preserving Hashing for Cross-View Retrieval Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang

CVPR 2014 Collective Matrix Factorization Hashing for Multimodal Data Guiguang Ding, Yuchen Guo, Jile Zhou

ICML 2014 Multi-Label Classification via Feature-Aware Implicit Label Space Encoding Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang

CVPR 2014 Transfer Joint Matching for Unsupervised Domain Adaptation Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu

CVPR 2013 Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, Xiaojun Ye

ICCV 2013 Transfer Feature Learning with Joint Distribution Adaptation Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu

CVPR 2013 Transfer Sparse Coding for Robust Image Representation Mingsheng Long, Guiguang Ding, Jianmin Wang, Jiaguang Sun, Yuchen Guo, Philip S. Yu

AAAI 2012 Transfer Learning with Graph Co-Regularization Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang