Action Disambiguation Analysis Using Normalized Google-Like Distance Correlogram. - Qianru Sun; Hong Liu 008 (ACCV (3), 2012)

Inferring Ongoing Human Activities Based on Recurrent Self-Organizing Map Trajectory. - Qianru Sun; Hong Liu 008 (BMVC, 2013)

Learning spatio-temporal co-occurrence correlograms for efficient human action classification. - Qianru Sun; Hong Liu 008 (ICIP, 2013)

Learning directional co-occurrence for human action classification. - Hong Liu 008; Mengyuan Liu; Qianru Sun (ICASSP, 2014)

Action classification by exploring directional co-occurrence of weighted stips. - Mengyuan Liu; Hong Liu 008; Qianru Sun (ICIP, 2014)

Human action classification based on sequential bag-of-words model. - Hong Liu 008; Qiaoduo Zhang; Qianru Sun (ROBIO, 2014)

Online learning on incremental distance metric for person re-identification. - Yuke Sun; Hong Liu 008; Qianru Sun (ROBIO, 2014)

Salient pairwise spatio-temporal interest points for real-time activity recognition. - Mengyuan Liu; Hong Liu 008; Qianru Sun; Tianwei Zhang 002; Runwei Ding (CAAI Trans. Intell. Technol., 2016)

Orientation Driven Bag of Appearances for Person Re-identification. - Liqian Ma; Hong Liu 008; Liang Hu; Can Wang 006; Qianru Sun (CoRR, 2016)

Human activity prediction by mapping grouplets to recurrent Self-Organizing Map. - Qianru Sun; Hong Liu 008; Mengyuan Liu; Tianwei Zhang 002 (Neurocomputing, 2016)

A novel hierarchical Bag-of-Words model for compact action representation. - Qianru Sun; Hong Liu 008; Liqian Ma; Tianwei Zhang 002 (Neurocomputing, 2016)

A Domain Based Approach to Social Relation Recognition. - Qianru Sun; Bernt Schiele; Mario Fritz (CVPR, 2017)

Pose Guided Person Image Generation. - Liqian Ma; Xu Jia 012; Qianru Sun; Bernt Schiele; Tinne Tuytelaars; Luc Van Gool (NIPS, 2017)

Online growing neural gas for anomaly detection in changing surveillance scenes. - Qianru Sun; Hong Liu 008; Tatsuya Harada (Pattern Recognit., 2017)

Disentangled Person Image Generation. - Liqian Ma; Qianru Sun; Stamatios Georgoulis; Luc Van Gool; Bernt Schiele; Mario Fritz (CVPR, 2018)

Natural and Effective Obfuscation by Head Inpainting. - Qianru Sun; Liqian Ma; Seong Joon Oh; Luc Van Gool; Bernt Schiele; Mario Fritz (CVPR, 2018)

A Hybrid Model for Identity Obfuscation by Face Replacement. - Qianru Sun; Ayush Tewari; Weipeng Xu; Mario Fritz; Christian Theobalt; Bernt Schiele (ECCV (1), 2018)

Objects, Relationships, and Context in Visual Data. - Hanwang Zhang; Qianru Sun (ICMR, 2018)

Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation. - Kyaw Zaw Lin; Weipeng Xu; Qianru Sun; Christian Theobalt; Tat-Seng Chua (CoRR, 2018)

Generating Expensive Relationship Features from Cheap Objects. - Xiaogang Wang 008; Qianru Sun; Tat-Seng Chua; Marcelo H. Ang Jr. (BMVC, 2019)

Meta-Transfer Learning for Few-Shot Learning. - Qianru Sun; Yaoyao Liu 001; Tat-Seng Chua; Bernt Schiele (CVPR, 2019)

Self-Refining Deep Symmetry Enhanced Network for Rain Removal. - Hong Liu 008; Hanrong Ye; Xia Li 005; Wei Shi 009; Mengyuan Liu; Qianru Sun (ICIP, 2019)

Mixed-dish Recognition with Contextual Relation Networks. - Lixi Deng; Jingjing Chen 001; Qianru Sun; Xiangnan He 001; Sheng Tang; Zhaoyan Ming; Yongdong Zhang 001; Tat-Seng Chua (ACM Multimedia, 2019)

Learning to Self-Train for Semi-Supervised Few-Shot Classification. - Xinzhe Li; Qianru Sun; Yaoyao Liu 001; Qin Zhou; Shibao Zheng; Tat-Seng Chua; Bernt Schiele (NeurIPS, 2019)

LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning. - Yaoyao Liu 001; Qianru Sun; An-An Liu; Yuting Su 001; Bernt Schiele; Tat-Seng Chua (CoRR, 2019)

A Novel BiLevel Paradigm for Image-to-Image Translation. - Liqian Ma; Qianru Sun; Bernt Schiele; Luc Van Gool (CoRR, 2019)

Learning to Self-Train for Semi-Supervised Few-Shot Classification. - Qianru Sun; Xinzhe Li; Yaoyao Liu 001; Shibao Zheng; Tat-Seng Chua; Bernt Schiele (CoRR, 2019)

Mnemonics Training: Multi-Class Incremental Learning Without Forgetting. - Yaoyao Liu 001; Yuting Su 001; An-An Liu; Bernt Schiele; Qianru Sun (CVPR, 2020)

Visual Commonsense Representation Learning via Causal Inference. - Tan Wang; Jianqiang Huang; Hanwang Zhang; Qianru Sun (CVPR Workshops, 2020)

Visual Commonsense R-CNN. - Tan Wang; Jianqiang Huang; Hanwang Zhang; Qianru Sun (CVPR, 2020)

An Ensemble of Epoch-Wise Empirical Bayes for Few-Shot Learning. - Yaoyao Liu 001; Bernt Schiele; Qianru Sun (ECCV (16), 2020)

Feature Pyramid Transformer. - Dong Zhang; Hanwang Zhang; Jinhui Tang 001; Meng Wang 001; Xiansheng Hua 001; Qianru Sun (ECCV (28), 2020)

Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem. - Jipeng Zhang; Roy Ka-Wei Lee; Ee-Peng Lim; Wei Qin; Lei Wang 185; Jie Shao 001; Qianru Sun (IJCAI, 2020)

Interventional Few-Shot Learning. - Zhongqi Yue; Hanwang Zhang; Qianru Sun; Xian-Sheng Hua 001 (NeurIPS, 2020)

Causal Intervention for Weakly-Supervised Semantic Segmentation. - Dong Zhang; Hanwang Zhang; Jinhui Tang 001; Xian-Sheng Hua 001; Qianru Sun (NeurIPS, 2020)

Meta-Aggregating Networks for Class-Incremental Learning. - Yaoyao Liu 001; Bernt Schiele; Qianru Sun (CoRR, 2020)

Counterfactual Variable Control for Robust and Interpretable Question Answering. - Sicheng Yu; Yulei Niu; Shuohang Wang; Jing Jiang 001; Qianru Sun (CoRR, 2020)

COSY: COunterfactual SYntax for Cross-Lingual Understanding. - Sicheng Yu; Hao Zhang 048; Yulei Niu; Qianru Sun; Jing Jiang 001 (ACL/IJCNLP (1), 2021)

Adaptive Aggregation Networks for Class-Incremental Learning. - Yaoyao Liu 001; Bernt Schiele; Qianru Sun (CVPR, 2021)

Counterfactual Zero-Shot and Open-Set Visual Recognition. - Zhongqi Yue; Tan Wang; Qianru Sun; Xian-Sheng Hua 001; Hanwang Zhang (CVPR, 2021)

Causal Attention for Unbiased Visual Recognition. - Tan Wang; Chang Zhou; Qianru Sun; Hanwang Zhang (ICCV, 2021)

Transporting Causal Mechanisms for Unsupervised Domain Adaptation. - Zhongqi Yue; Qianru Sun; Xian-Sheng Hua 001; Hanwang Zhang (ICCV, 2021)

Self-Regulation for Semantic Segmentation. - Dong Zhang; Hanwang Zhang; Jinhui Tang 001; Xian-Sheng Hua 001; Qianru Sun (ICCV, 2021)

A Large-Scale Benchmark for Food Image Segmentation. - Xiongwei Wu; Xin Fu; Ying Liu 004; Ee-Peng Lim; Steven C. H. Hoi; Qianru Sun (ACM Multimedia, 2021)

RMM: Reinforced Memory Management for Class-Incremental Learning. - Yaoyao Liu 001; Bernt Schiele; Qianru Sun (NeurIPS, 2021)

Self-Supervised Learning Disentangled Group Representation as Feature. - Tan Wang; Zhongqi Yue; Jianqiang Huang; Qianru Sun; Hanwang Zhang (NeurIPS, 2021)

Learning to teach and learn for semi-supervised few-shot image classification. - Xinzhe Li; Jianqiang Huang; Yaoyao Liu 001; Qin Zhou; Shibao Zheng; Bernt Schiele; Qianru Sun (Comput. Vis. Image Underst., 2021)

Generating Face Images With Attributes for Free. - Yaoyao Liu 001; Qianru Sun; Xiangnan He 001; An-An Liu; Yuting Su 001; Tat-Seng Chua (IEEE Trans. Neural Networks Learn. Syst., 2021)

Deconfounded Visual Grounding. - Jianqiang Huang; Yu Qin; Jiaxin Qi; Qianru Sun; Hanwang Zhang (AAAI, 2022)

Translate-Train Embracing Translationese Artifacts. - Sicheng Yu; Qianru Sun; Hao Zhang 048; Jing Jiang 001 (ACL (2), 2022)

Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation. - Zhaozheng Chen; Tan Wang; Xiongwei Wu; Xian-Sheng Hua 001; Hanwang Zhang; Qianru Sun (CVPR, 2022)

On Mitigating Hard Clusters for Face Clustering. - Yingjie Chen; Huasong Zhong; Chong Chen 002; Chen Shen 003; Jianqiang Huang; Tao Wang 004; Yun Liang 001; Qianru Sun (ECCV (12), 2022)

Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization. - Jiaxin Qi; Kaihua Tang; Qianru Sun; Xian-Sheng Hua 001; Hanwang Zhang (ECCV (25), 2022)

Equivariance and Invariance Inductive Bias for Learning from Insufficient Data. - Tan Wang; Qianru Sun; Sugiri Pranata; Jayashree Karlekar; Hanwang Zhang (ECCV (11), 2022)

Interventional Training for Out-Of-Distribution Natural Language Understanding. - Sicheng Yu; Jing Jiang 001; Hao Zhang 048; Yulei Niu; Qianru Sun; Lidong Bing (EMNLP, 2022)

Research on Automatic Categorization of Product Reviews Based on Short Text Extension and BERT Model. - Xiangdong Li; Qianru Sun; Jian Shi (WHICEB, 2022)

Auto-Classification of Similar Categories Based on an Improved BERT-MLDFA Method - - Taking E271 and E712.51 of Chinese Library Classification as an Example. - Xiangdong Li; Jian Shi; Qianru Sun; Renxian Zuo (WHICEB, 2022)

Attention-based Class Activation Diffusion for Weakly-Supervised Semantic Segmentation. - Jianqiang Huang; Jian Wang; Qianru Sun; Hanwang Zhang (CoRR, 2022)

Meta-Transfer Learning Through Hard Tasks. - Qianru Sun; Yaoyao Liu 001; Zhaozheng Chen; Tat-Seng Chua; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Mixed Dish Recognition With Contextual Relation and Domain Alignment. - Lixi Deng; Jingjing Chen 001; Chong-Wah Ngo; Qianru Sun; Sheng Tang; Yongdong Zhang 001; Tat-Seng Chua (IEEE Trans. Multim., 2022)

Revisiting Local Descriptor for Improved Few-Shot Classification. - Jun He; Richang Hong; Xueliang Liu; Mingliang Xu 001; Qianru Sun (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Online Hyperparameter Optimization for Class-Incremental Learning. - Yaoyao Liu 001; Yingying Li; Bernt Schiele; Qianru Sun (AAAI, 2023)

Extracting Class Activation Maps from Non-Discriminative Features as well. - Zhaozheng Chen; Qianru Sun (CVPR, 2023)

Class-Incremental Exemplar Compression for Class-Incremental Learning. - Zilin Luo; Yaoyao Liu 001; Bernt Schiele; Qianru Sun (CVPR, 2023)

Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection. - Hui Lv; Zhongqi Yue; Qianru Sun; Bin Luo; Zhen Cui 001; Hanwang Zhang (CVPR, 2023)

Semantic Scene Completion with Cleaner Self. - Fengyun Wang; Dong Zhang; Hanwang Zhang; Jinhui Tang 001; Qianru Sun (CVPR, 2023)

Freestyle Layout-to-Image Synthesis. - Han Xue; Zhiwu Huang; Qianru Sun; Li Song 001; Wenjun Zhang 001 (CVPR, 2023)

Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition. - Xuanyu Yi; Jiajun Deng; Qianru Sun; Xian-Sheng Hua 001; Joo-Hwee Lim; Hanwang Zhang (ICCV, 2023)

Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection. - Kaifeng Gao; Long Chen 016; Hanwang Zhang; Jun Xiao 001; Qianru Sun (ICLR, 2023)

Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation. - Zhongqi Yue; Qianru Sun; Hanwang Zhang (NeurIPS, 2023)

Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models. - Beier Zhu; Kaihua Tang; Qianru Sun; Hanwang Zhang (NeurIPS, 2023)

Non-Visible Light Data Synthesis and Application: A Case Study for Synthetic Aperture Radar Imagery. - Zichen Tian; Zhaozheng Chen; Qianru Sun (CoRR, 2023)

Learning comprehensive global features in person re-identification: Ensuring discriminativeness of more local regions. - Jiali Xi; Jianqiang Huang; Shibao Zheng; Qin Zhou; Bernt Schiele; Xian-Sheng Hua 001; Qianru Sun (Pattern Recognit., 2023)

Generating Music With Emotions. - Chunhui Bao; Qianru Sun (IEEE Trans. Multim., 2023)

Causal Interventional Training for Image Recognition. - Wei Qin; Hanwang Zhang; Richang Hong; Ee-Peng Lim; Qianru Sun (IEEE Trans. Multim., 2023)

Open-set domain adaptation by deconfounding domain gaps. - Xin Zhao 021; Shengsheng Wang 001; Qianru Sun (Appl. Intell., 2023)

Unleashing Network Potentials for Semantic Scene Completion. - Fengyun Wang; Qianru Sun; Dong Zhang; Jinhui Tang 001 (CVPR, 2024)

Few-Shot Learner Parameterization by Diffusion Time-Steps. - Zhongqi Yue; Pan Zhou 002; Richang Hong; Hanwang Zhang; Qianru Sun (CVPR, 2024)

LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. - Jiahao Ying; Mingbao Lin; Yixin Cao 002; Wei Tang 015; Bo Wang; Qianru Sun; Xuanjing Huang 001; Shuicheng Yan (EMNLP (Findings), 2024)

Exploring Diffusion Time-steps for Unsupervised Representation Learning. - Zhongqi Yue; Jiankun Wang 010; Qianru Sun; Lei Ji 001; Eric I-Chao Chang; Hanwang Zhang (ICLR, 2024)

A Dual-Branch Riemannian Learning Network for EEG Speech Imagery Decoding. - Liying Zhang; Peiliang Gong; Qianru Sun; Yueying Zhou; Qi Zhu; Daoqiang Zhang (ICONIP (11), 2024)

MSTI-Former: A Multi-Scale Spatial-Temporal Information Enhanced Transformer for Attentive State Classification. - Qianru Sun; Lianyu Wang; Liying Zhang; Peiliang Gong; Yueying Zhou; Daoqiang Zhang (ISBI, 2024)

Unified Generative and Discriminative Training for Multi-modal Large Language Models. - Wei Chow; Juncheng Li 006; Qifan Yu; Kaihang Pan; Hao Fei 001; Zhiqi Ge; Shuai Yang; Siliang Tang; Hanwang Zhang; Qianru Sun (NeurIPS, 2024)

Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration. - Kaihang Pan; Zhaoyu Fan; Juncheng Li 006; Qifan Yu; Hao Fei 001; Siliang Tang; Richang Hong; Hanwang Zhang; Qianru Sun (NeurIPS, 2024)

Learning De-Biased Representations for Remote-Sensing Imagery. - Zichen Tian; Zhaozheng Chen; Qianru Sun (NeurIPS, 2024)

Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models. - Jiahao Ying; Yixin Cao 002; Yushi Bai; Qianru Sun; Bo Wang; Wei Tang 015; Zhaojun Ding; Yizhe Yang; Xuanjing Huang 001; Shuicheng Yan (NeurIPS, 2024)

Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos. - Yaoyao Liu 001; Yingying Li; Bernt Schiele; Qianru Sun (WACV, 2024)

Video Anomaly Detection and Explanation via Large Language Models. - Hui Lv; Qianru Sun (CoRR, 2024)

In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation. - Han Xue; Qianru Sun; Li Song; Wenjun Zhang; Zhiwu Huang (CoRR, 2024)

LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. - Jiahao Ying; Mingbao Lin; Yixin Cao 006; Wei Tang 015; Bo Wang; Qianru Sun; Xuanjing Huang 001; Shuicheng Yan (CoRR, 2024)

Towards Natural Image Matting in the Wild via Real-Scenario Prior. - Ruihao Xia; Yu Liang; Peng-Tao Jiang; Hao Zhang; Qianru Sun; Yang Tang; Bo Li 130; Pan Zhou 002 (CoRR, 2024)

Efficient Cross-Modal Video Retrieval With Meta-Optimized Frames. - Ning Han; Xun Yang 001; Ee-Peng Lim; Hao Chen 051; Qianru Sun (IEEE Trans. Multim., 2024)

Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning. - Zichen Tian; Yaoyao Liu 001; Qianru Sun (CVPR, 2025)

Frame-Voyager: Learning to Query Frames for Video Large Language Models. - Sicheng Yu; Chengkai Jin; Huanyu Wang; Zhenghao Chen; Sheng Jin; Zhongrong Zuo; Xiaolei Xu; Zhenbang Sun; Bingni Zhang; Jiawei Wu; Hao Zhang; Qianru Sun (ICLR, 2025)

LLMs-Based Augmentation for Domain Adaptation in Long-Tailed Food Datasets. - Qing Wang; Chong-Wah Ngo; Ee-Peng Lim; Qianru Sun (MMM (2), 2025)

Reverse Modeling in Large Language Models. - Sicheng Yu; Yuanchen Xu; Cunxiao Du; Yanying Zhou; Minghui Qiu; Qianru Sun; Hao Zhang; Jiawei Wu (NAACL (Short Papers), 2025)

Attention Detection Using EEG Signals and Machine Learning: A Review. - Qianru Sun; Yueying Zhou; Peiliang Gong; Daoqiang Zhang (Int. J. Autom. Comput., 2025)

Generalized Visual Relation Detection with Diffusion Models. - Kaifeng Gao; Siqi Chen; Hanwang Zhang; Jun Xiao 001; Yueting Zhuang; Qianru Sun (CoRR, 2025)

Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization. - Kesen Zhao; Beier Zhu; Qianru Sun; Hanwang Zhang (CoRR, 2025)

Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks. - Yixin Cao 002; Shibo Hong; Xinze Li; Jiahao Ying; Yubo Ma; Haiyuan Liang; Yantao Liu; Zijun Yao 002; Xiaozhi Wang; Dan Huang; Wenxuan Zhang 001; Lifu Huang; et al. (CoRR, 2025)

3D Question Answering via only 2D Vision-Language Models. - Fengyun Wang; Sicheng Yu; Jiawei Wu; Jinhui Tang 001; Hanwang Zhang; Qianru Sun (CoRR, 2025)

Weakly-supervised Semantic Segmentation with Image-level Labels: From Traditional Models to Foundation Models. - Zhaozheng Chen; Qianru Sun (ACM Comput. Surv., 2025)