Video Annotation by Active Learning and Cluster Tuning. - Guo-Jun Qi; Yan Song 001; Xian-Sheng Hua 001; Hong-Jiang Zhang; Li-Rong Dai 001 (CVPR Workshops, 2006)

Video Annotation by Active Learning and Semi-Supervised Ensembling. - Yan Song 001; Guo-Jun Qi; Xian-Sheng Hua 001; Li-Rong Dai 001; Ren-Hua Wang (ICME, 2006)

Efficient semantic annotation method for indexing large personal video database. - Yan Song 001; Xian-Sheng Hua 001; Guo-Jun Qi; Li-Rong Dai 001; Meng Wang 001; HongJiang Zhang (Multimedia Information Retrieval, 2006)

Microsoft Research Asia TRECVID 2006 High-Level Feature Extraction and Rushes Exploitation. - Xian-Sheng Hua 001; Tao Mei 001; Wei Lai; Meng Wang 001; Jinhui Tang 001; Guo-Jun Qi; Lvsong Li; Zhiwei Gu (TRECVID, 2006)

Concurrent Multiple Instance Learning for Image Categorization. - Guo-Jun Qi; Xian-Sheng Hua 001; Yong Rui; Tao Mei 001; Jinhui Tang 001; Hong-Jiang Zhang (CVPR, 2007)

Temporally Consistent Gaussian Random Field for Video Semantic Analysis. - Jinhui Tang 001; Xian-Sheng Hua 001; Tao Mei 001; Guo-Jun Qi; Shipeng Li 001; Xiuqing Wu (ICIP (4), 2007)

Transductive Inference with Hierarchical Clustering for Video Annotation. - Guo-Jun Qi; Xian-Sheng Hua 001; Yan Song 001; Jinhui Tang 001; Hong-Jiang Zhang (ICME, 2007)

Beyond Accuracy: Typicality Ranking for Video Annotation. - Jinhui Tang 001; Xian-Sheng Hua 001; Guo-Jun Qi; Zhiwei Gu; Xiuqing Wu (ICME, 2007)

Anisotropic Manifold Ranking for Video Annotation. - Jinhui Tang 001; Xian-Sheng Hua 001; Guo-Jun Qi; Tao Mei 001; Xiuqing Wu (ICME, 2007)

A Novel Multiple Instance Learning Approach for Image Retrieval Based on Adaboost Feature Selection. - Xun Yuan 001; Xian-Sheng Hua 001; Meng Wang 001; Guo-Jun Qi; Xiuqing Wu (ICME, 2007)

Learning Concepts by Modeling Relationships. - Yong Rui; Guo-Jun Qi (MCAM, 2007)

Correlative multi-label video annotation. - Guo-Jun Qi; Xian-Sheng Hua 001; Yong Rui; Jinhui Tang 001; Tao Mei 001; Hong-Jiang Zhang (ACM Multimedia, 2007)

Typicality ranking via semi-supervised multiple-instance learning. - Jinhui Tang 001; Xian-Sheng Hua 001; Guo-Jun Qi; Xiuqing Wu (ACM Multimedia, 2007)

Structure-sensitive manifold ranking for video concept detection. - Jinhui Tang 001; Xian-Sheng Hua 001; Guo-Jun Qi; Meng Wang 001; Tao Mei 001; Xiuqing Wu (ACM Multimedia, 2007)

Refining video annotation by exploiting pairwise concurrent relation. - Zheng-Jun Zha; Tao Mei 001; Xian-Sheng Hua 001; Guo-Jun Qi; Zengfu Wang (ACM Multimedia, 2007)

Kernel-Based Linear Neighborhood Propagation for Semantic Video Annotation. - Jinhui Tang 001; Xian-Sheng Hua 001; Yan Song 001; Guo-Jun Qi; Xiuqing Wu (PAKDD, 2007)

MSRA-USTC-SJTU at TRECVID 2007: High-Level Feature Extraction and Search. - Tao Mei 001; Xian-Sheng Hua 001; Wei Lai; Linjun Yang; Zheng-Jun Zha; Yuan Liu 017; Zhiwei Gu; Guo-Jun Qi; Meng Wang 001; Jinhui Tang 001; Xun Yuan 001; Zheng Lu 002; et al. (TRECVID, 2007)

Interactive Video Annotation by Multi-Concept Multi-Modality Active Learning. - Meng Wang 001; Xian-Sheng Hua 001; Tao Mei 001; Jinhui Tang 001; Guo-Jun Qi; Yan Song 001; Li-Rong Dai 001 (Int. J. Semantic Comput., 2007)

Two-Dimensional Active Learning for image classification. - Guo-Jun Qi; Xian-Sheng Hua 001; Yong Rui; Jinhui Tang 001; Hong-Jiang Zhang (CVPR, 2008)

A joint appearance-spatial distance for kernel-based image categorization. - Guo-Jun Qi; Xian-Sheng Hua 001; Yong Rui; Jinhui Tang 001; Zheng-Jun Zha; Hong-Jiang Zhang (CVPR, 2008)

Joint multi-label multi-instance learning for image classification. - Zheng-Jun Zha; Xian-Sheng Hua 001; Tao Mei 001; Jingdong Wang 001; Guo-Jun Qi; Zengfu Wang (CVPR, 2008)

Query-independent learning for video search. - Yuan Liu 017; Tao Mei 001; Guo-Jun Qi; Xiuqing Wu; Xian-Sheng Hua 001 (ICME, 2008)

Online multi-label active annotation: towards large-scale content-based video search. - Xian-Sheng Hua 001; Guo-Jun Qi (ACM Multimedia, 2008)

Integrated graph-based semi-supervised multiple/single instance learning framework for image annotation. - Jinhui Tang 001; Haojie Li; Guo-Jun Qi; Tat-Seng Chua (ACM Multimedia, 2008)

MSRA atT TRECVID 2008: High-Level Feature Extraction and Automatic Search. - Tao Mei 001; Zheng-Jun Zha; Yuan Liu 017; Meng Wang 001; Guo-Jun Qi; Xinmei Tian 001; Jingdong Wang 001; Linjun Yang; Xian-Sheng Hua 001 (TRECVID, 2008)

Video Annotation Based on Kernel Linear Neighborhood Propagation. - Jinhui Tang 001; Xian-Sheng Hua 001; Guo-Jun Qi; Yan Song 001; Xiuqing Wu (IEEE Trans. Multim., 2008)

Correlative multilabel video annotation with temporal kernels. - Guo-Jun Qi; Xian-Sheng Hua 001; Yong Rui; Jinhui Tang 001; Tao Mei 001; Meng Wang 001; Hong-Jiang Zhang (ACM Trans. Multim. Comput. Commun. Appl., 2008)

Active Video Annotation. - Meng Wang 001; Xian-Sheng Hua 001; Jinhui Tang 001; Guo-Jun Qi (Semantic Mining Technologies for Multimedia Databases, 2009)

An efficient sparse metric learning in high-dimensional space via l1-penalized log-determinant regularization. - Guo-Jun Qi; Jinhui Tang 001; Zheng-Jun Zha; Tat-Seng Chua; Hong-Jiang Zhang (ICML, 2009)

Learning semantic distance from community-tagged media collection. - Guo-Jun Qi; Xian-Sheng Hua 001; Hong-Jiang Zhang (ACM Multimedia, 2009)

Inferring semantic concepts from community-contributed images and noisy tags. - Jinhui Tang 001; Shuicheng Yan; Richang Hong; Guo-Jun Qi; Tat-Seng Chua (ACM Multimedia, 2009)

Semi-supervised kernel density estimation for video annotation. - Meng Wang 001; Xian-Sheng Hua 001; Tao Mei 001; Richang Hong; Guo-Jun Qi; Yan Song 001; Li-Rong Dai 001 (Comput. Vis. Image Underst., 2009)

Two-Dimensional Multilabel Active Learning with an Efficient Online Adaptation Model for Image Classification. - Guo-Jun Qi; Xian-Sheng Hua 001; Yong Rui; Jinhui Tang 001; Hong-Jiang Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Video semantic analysis based on structure-sensitive anisotropic manifold ranking. - Jinhui Tang 001; Guo-Jun Qi; Meng Wang 001; Xian-Sheng Hua 001 (Signal Process., 2009)

Unified Video Annotation via Multigraph Learning. - Meng Wang 001; Xian-Sheng Hua 001; Richang Hong; Jinhui Tang 001; Guo-Jun Qi; Yan Song 001 (IEEE Trans. Circuits Syst. Video Technol., 2009)

Correlative Linear Neighborhood Propagation for Video Annotation. - Jinhui Tang 001; Xian-Sheng Hua 001; Meng Wang 001; Zhiwei Gu; Guo-Jun Qi; Xiuqing Wu (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Enhancing Multi-lingual Information Extraction via Cross-Media Inference and Fusion. - Adam Lee; Marissa Passantino; Heng Ji 001; Guojun Qi; Thomas S. Huang (COLING (Posters), 2010)

Image Classification With Kernelized Spatial-Context. - Guo-Jun Qi; Xian-Sheng Hua 001; Yong Rui; Jinhui Tang 001; Hong-Jiang Zhang (IEEE Trans. Multim., 2010)

Image Annotation by Graph-Based Inference With Integrated Multiple/Single Instance Representations. - Jinhui Tang 001; Haojie Li; Guo-Jun Qi; Tat-Seng Chua (IEEE Trans. Multim., 2010)

Multimedia Information Networks in Social Media. - Liangliang Cao; Guo-Jun Qi; Shen-Fu Tsai; Min-Hsuan Tsai; Andrey Del Pozo; Thomas S. Huang; Xuemei Zhang; Suk Hwan Lim (Social Network Data Analytics, 2011)

Towards cross-category knowledge propagation for learning visual concepts. - Guo-Jun Qi; Charu C. Aggarwal; Yong Rui; Qi Tian 001; Shiyu Chang; Thomas S. Huang (CVPR, 2011)

Locality-sensitive support vector machine by exploring local correlation and global regularization. - Guojun Qi; Qi Tian 001; Thomas S. Huang (CVPR, 2011)

PhotoNet: A similarity-aware image delivery service for situation awareness. - Hongyan Wang; Md. Yusuf Sarwar Uddin; Guo-Jun Qi; Tom Huang; Tarek F. Abdelzaher; Guohong Cao (IPSN, 2011)

PhotoNet: A Similarity-Aware Picture Delivery Service for Situation Awareness. - Md. Yusuf Sarwar Uddin; Hongyan Wang; Fatemeh Saremi; Guo-Jun Qi; Tarek F. Abdelzaher; Thomas S. Huang (RTSS, 2011)

Towards semantic knowledge propagation from text corpus to web images. - Guojun Qi; Charu C. Aggarwal; Thomas S. Huang (WWW, 2011)

Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images. - Jinhui Tang 001; Richang Hong; Shuicheng Yan; Tat-Seng Chua; Guo-Jun Qi; Ramesh C. Jain (ACM Trans. Intell. Syst. Technol., 2011)

Community Detection with Edge Content in Social Media Networks. - Guo-Jun Qi; Charu C. Aggarwal; Thomas S. Huang (ICDE, 2012)

Transfer Learning of Distance Metrics by Cross-Domain Metric Sampling across Heterogeneous Spaces. - Guo-Jun Qi; Charu C. Aggarwal; Thomas S. Huang (SDM, 2012)

On clustering heterogeneous social media objects with outlier links. - Guo-Jun Qi; Charu C. Aggarwal; Thomas S. Huang (WSDM, 2012)

Learning from Collective Intelligence in Groups - Guo-Jun Qi; Charu C. Aggarwal; Pierre Moulin; Thomas S. Huang (CoRR, 2012)

Recommending Flickr groups with social topic model. - Jingdong Wang 001; Zhe Zhao 001; Jiazhen Zhou; Hao Wang 005; Bin Cui 001; Guojun Qi (Inf. Retr., 2012)

Exploring Context and Content Links in Social Media: A Latent Space Method. - Guo-Jun Qi; Charu C. Aggarwal; Qi Tian 001; Heng Ji 001; Thomas S. Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Web-Scale Multimedia Information Networks. - Guo-Jun Qi; Min-Hsuan Tsai; Shen-Fu Tsai; Liangliang Cao; Thomas S. Huang (Proc. IEEE, 2012)

Clustering Multimedia Data. - Shen-Fu Tsai; Guo-Jun Qi; Shiyu Chang; Min-Hsuan Tsai; Thomas S. Huang (Data Clustering: Algorithms and Applications, 2013)

Link prediction across networks by biased cross-network sampling. - Guo-Jun Qi; Charu C. Aggarwal; Thomas S. Huang (ICDE, 2013)

Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree. - Shiyu Chang; Guo-Jun Qi; Jinhui Tang 001; Qi Tian 001; Yong Rui; Thomas S. Huang (ICDM, 2013)

Online community detection in social sensing. - Guo-Jun Qi; Charu C. Aggarwal; Thomas S. Huang (WSDM, 2013)

Mining collective intelligence in diverse groups. - Guo-Jun Qi; Charu C. Aggarwal; Jiawei Han 001; Thomas S. Huang (WWW, 2013)

Cross-Space Affinity Learning with Its Application to Movie Recommendation. - Jinhui Tang 001; Guo-Jun Qi; Liyan Zhang 001; Changsheng Xu (IEEE Trans. Knowl. Data Eng., 2013)

Information trust, inference and transfer in social and information networks - Guo-Jun Qi (2013)

Factorized Similarity Learning in Networks. - Shiyu Chang; Guo-Jun Qi; Charu C. Aggarwal; Jiayu Zhou; Meng Wang 001; Thomas S. Huang (ICDM, 2014)

Social media mining and knowledge discovery. - Jinhui Tang 001; Dacheng Tao; Guo-Jun Qi; Benoit Huet (Multim. Syst., 2014)

Multi-Label Image Categorization With Sparse Factor Representation. - Fuming Sun; Jinhui Tang 001; Haojie Li; Guo-Jun Qi; Thomas S. Huang (IEEE Trans. Image Process., 2014)

Sparse composite quantization. - Ting Zhang 002; Guo-Jun Qi; Jinhui Tang 001; Jingdong Wang 001 (CVPR, 2015)

Differential Recurrent Neural Networks for Action Recognition. - Vivek Veeriah; Naifan Zhuang; Guo-Jun Qi (ICCV, 2015)

Heterogeneous Network Embedding via Deep Architectures. - Shiyu Chang; Wei Han 002; Jiliang Tang; Guo-Jun Qi; Charu C. Aggarwal; Thomas S. Huang (KDD, 2015)

State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness. - Guo-Jun Qi; Charu C. Aggarwal; Deepak S. Turaga; Daby M. Sow; Phil Anno (KDD, 2015)

Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction. - Vivek Veeriah; Rohit Durvasula; Guo-Jun Qi (KDD, 2015)

Temporal Order-Preserving Dynamic Quantization for Human Action Recognition from Multimodal Sensor Streams. - Jun Ye 003; Kai Li 005; Guo-Jun Qi; Kien A. Hua (ICMR, 2015)

Weakly-Shared Deep Transfer Networks for Heterogeneous-Domain Knowledge Propagation. - Xiangbo Shu; Guo-Jun Qi; Jinhui Tang 001; Jingdong Wang 001 (ACM Multimedia, 2015)

Rank Subspace Learning for Compact Hash Codes. - Kai Li 005; Guojun Qi; Jun Ye 003; Kien A. Hua (CoRR, 2015)

Decentralized Recommender Systems. - Zhangyang Wang; Xianming Liu; Shiyu Chang; Jiayu Zhou; Guo-Jun Qi; Thomas S. Huang (CoRR, 2015)

First-Take-All: Temporal Order-Preserving Hashing for 3D Action Videos. - Jun Ye 003; Hao Hu; Kai Li 005; Guo-Jun Qi; Kien A. Hua (CoRR, 2015)

Ontological Random Forests for Image Classification. - Ning Xu 007; Jiangping Wang; Guojun Qi; Thomas S. Huang; Weiyao Lin (Int. J. Inf. Retr. Res., 2015)

Guest Editorial: Big Media Data: Understanding, Search, and Mining (Part 2). - Jingdong Wang 001; Guo-Jun Qi; Nicu Sebe; Charu C. Aggarwal (IEEE Trans. Big Data, 2015)

Breaking the Barrier to Transferring Link Information across Networks. - Guo-Jun Qi; Charu C. Aggarwal; Thomas S. Huang (IEEE Trans. Knowl. Data Eng., 2015)

Guest Editorial: Deep Learning for Multimedia Computing. - Guo-Jun Qi; Hugo Larochelle; Benoit Huet; Jiebo Luo 001; Kai Yu (IEEE Trans. Multim., 2015)

Hierarchically Gated Deep Networks for Semantic Segmentation. - Guo-Jun Qi (CVPR, 2016)

Supervised Quantization for Similarity Search. - Xiaojuan Wang; Ting Zhang 002; Guo-Jun Qi; Jinhui Tang 001; Jingdong Wang 001 (CVPR, 2016)

Cross-modal hashing through ranking subspace learning. - Kai Li 005; Guojun Qi; Jun Ye 003; Kien A. Hua (ICME, 2016)

Supervised Ranking Hash for Semantic Similarity Search. - Kai Li 005; Guo-Jun Qi; Jun Ye 003; Tuoerhongjiang Yusuph; Kien A. Hua (ISM, 2016)

Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder Detection. - Hao Hu; Joey Velez-Ginorio; Guo-Jun Qi (KDD, 2016)

Large-scale supervised similarity learning in networks. - Shiyu Chang; Guo-Jun Qi; Yingzhen Yang; Charu C. Aggarwal; Jiayu Zhou; Meng Wang 001; Thomas S. Huang (Knowl. Inf. Syst., 2016)

Guest Editorial: Big Media Data: Understanding, Search, and Mining. - Jingdong Wang 001; Guo-Jun Qi; Nicu Sebe; Charu C. Aggarwal (IEEE Trans. Big Data, 2016)

Generalized Deep Transfer Networks for Knowledge Propagation in Heterogeneous Domains. - Jinhui Tang 001; Xiangbo Shu; Zechao Li; Guo-Jun Qi; Jingdong Wang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2016)

CLARE: A Joint Approach to Label Classification and Tag Recommendation. - Yilin Wang 002; Suhang Wang; Jiliang Tang; Guo-Jun Qi; Huan Liu 001; Baoxin Li (AAAI, 2017)

Temporal Domain Neural Encoder for Video Representation Learning. - Hao Hu; Zhaowen Wang; Joon-Young Lee; Zhe Lin 001; Guo-Jun Qi (CVPR Workshops, 2017)

Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition. - Xiangbo Shu; Jinhui Tang 001; Guo-Jun Qi; Yan Song 005; Zechao Li; Liyan Zhang 001 (CVPR Workshops, 2017)

A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. - Kristjan Arumae; Guo-Jun Qi; Fei Liu 004 (FLAIRS, 2017)

Interleaved Group Convolutions. - Ting Zhang 002; Guo-Jun Qi; Bin Xiao 001; Jingdong Wang 001 (ICCV, 2017)

Context-patch based face hallucination via thresholding locality-constrained representation and reproducing learning. - Junjun Jiang; Yi Yu 001; Suhua Tang; Jiayi Ma 001; Guo-Jun Qi; Akiko Aizawa (ICME, 2017)

State-Frequency Memory Recurrent Neural Networks. - Hao Hu; Guo-Jun Qi (ICML, 2017)

Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting. - Guo-Jun Qi; Jiliang Tang; Jingdong Wang 001; Jiebo Luo 001 (KDD, 2017)

Stock Price Prediction via Discovering Multi-Frequency Trading Patterns. - Liheng Zhang; Charu C. Aggarwal; Guo-Jun Qi (KDD, 2017)

Interleaved Group Convolutions for Deep Neural Networks. - Ting Zhang 002; Guo-Jun Qi; Bin Xiao 001; Jingdong Wang 001 (CoRR, 2017)

Global versus Localized Generative Adversarial Nets. - Guo-Jun Qi; Liheng Zhang; Hao Hu (CoRR, 2017)

Semantic Image Retrieval with Feature Space Rankings. - Kai Li 005; Guo-Jun Qi; Jun Ye 003; Tuoerhongjiang Yusuph; Kien A. Hua (Int. J. Semantic Comput., 2017)

Linear Subspace Ranking Hashing for Cross-Modal Retrieval. - Kai Li 005; Guo-Jun Qi; Jun Ye 003; Kien A. Hua (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes. - Guo-Jun Qi; Wei Liu 005; Charu C. Aggarwal; Thomas S. Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement. - Jinhui Tang 001; Xiangbo Shu; Guo-Jun Qi; Zechao Li; Meng Wang 001; Shuicheng Yan; Ramesh C. Jain (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia. - Jinhui Tang 001; Shiyu Chang; Guo-Jun Qi; Qi Tian 001; Yong Rui; Thomas S. Huang (IEEE Trans. Image Process., 2017)

A Temporal Order Modeling Approach to Human Action Recognition from Multimodal Sensor Data. - Jun Ye 003; Hao Hu; Guo-Jun Qi; Kien A. Hua (ACM Trans. Multim. Comput. Commun. Appl., 2017)

Global Versus Localized Generative Adversarial Nets. - Guo-Jun Qi; Liheng Zhang; Hao Hu; Marzieh Edraki; Jingdong Wang 001; Xian-Sheng Hua 001 (CVPR, 2018)

Interleaved Structured Sparse Convolutional Neural Networks. - Guotian Xie; Jingdong Wang 001; Ting Zhang 002; Jianhuang Lai; Richang Hong; Guo-Jun Qi (CVPR, 2018)

Generalized Loss-Sensitive Adversarial Learning with Manifold Margins. - Marzieh Edraki; Guo-Jun Qi (ECCV (5), 2018)

An Adversarial Approach to Hard Triplet Generation. - Yiru Zhao; Zhongming Jin 001; Guo-Jun Qi; Hongtao Lu 001; Xian-Sheng Hua 001 (ECCV (9), 2018)

Automated Pulmonary Nodule Detection: High Sensitivity with Few Candidates. - Bin Wang 065; Guojun Qi; Sheng Tang; Liheng Zhang; Lixi Deng; Yongdong Zhang 001 (MICCAI (2), 2018)

Multimedia Content Understanding by Learning from Very Few Examples: Recent Progress on Unsupervised, Semi-Supervised and Supervised Deep Learning Approaches. - Guo-Jun Qi (ICMR, 2018)

Previewer for Multi-Scale Object Detector. - Zhihang Fu; Zhongming Jin 001; Guo-Jun Qi; Chen Shen 003; Rongxin Jiang 001; Yaowu Chen; Xian-Sheng Hua 001 (ACM Multimedia, 2018)

CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces. - Liheng Zhang; Marzieh Edraki; Guo-Jun Qi (NeurIPS, 2018)

Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network. - Yilin Wang 002; Suhang Wang; Guojun Qi; Jiliang Tang; Baoxin Li (WACV, 2018)

Latent Dirichlet Truth Discovery: Separating Trustworthy and Untrustworthy Components in Data Sources. - Liyan Zhang 001; Guo-Jun Qi; Dong Zhang; Jinhui Tang 001 (IEEE Access, 2018)

Deep Differential Recurrent Neural Networks. - Naifan Zhuang; The Duc Kieu; Guo-Jun Qi; Kien A. Hua (CoRR, 2018)

IGCV2: Interleaved Structured Sparse Convolutional Neural Networks. - Guotian Xie; Jingdong Wang 001; Ting Zhang 002; Jianhuang Lai; Richang Hong; Guo-Jun Qi (CoRR, 2018)

Task-Agnostic Meta-Learning for Few-shot Learning. - Muhammad Abdullah Jamal; Guo-Jun Qi; Mubarak Shah (CoRR, 2018)

Rethink and Redesign Meta learning. - Yunxiao Qin; Weiguo Zhang; Chenxu Zhao; Zezheng Wang; Hailin Shi; Guojun Qi; Jingping Shi; Zhen Lei 001 (CoRR, 2018)

Co-SpOT: Cooperative Spectrum Opportunity Detection Using Bayesian Clustering in Spectrum-Heterogeneous Cognitive Radio Networks. - Alireza Zaeemzadeh; Mohsen Joneidi; Nazanin Rahnavard; Guo-Jun Qi (IEEE Trans. Cogn. Commun. Netw., 2018)

Image Classification With Tailored Fine-Grained Dictionaries. - Xiangbo Shu; Jinhui Tang 001; Guo-Jun Qi; Zechao Li; Yu-Gang Jiang 001; Shuicheng Yan (IEEE Trans. Circuits Syst. Video Technol., 2018)

Semantic Neighbor Graph Hashing for Multimodal Retrieval. - Lu Jin 001; Kai Li 005; Hao Hu; Guo-Jun Qi; Jinhui Tang 001 (IEEE Trans. Image Process., 2018)

Learning Label Preserving Binary Codes for Multimedia Retrieval: A General Approach. - Kai Li 005; Guo-Jun Qi; Kien A. Hua (ACM Trans. Multim. Comput. Commun. Appl., 2018)

Learning to Adaptively Scale Recurrent Neural Networks. - Hao Hu; Liqiang Wang; Guo-Jun Qi (AAAI, 2019)

Task Agnostic Meta-Learning for Few-Shot Learning. - Muhammad Abdullah Jamal; Guo-Jun Qi (CVPR, 2019)

AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data. - Liheng Zhang; Guo-Jun Qi; Liqiang Wang; Jiebo Luo 001 (CVPR, 2019)

Few-Shot Image Recognition With Knowledge Transfer. - Zhimao Peng; Zechao Li; Junge Zhang; Yan Li; Guo-Jun Qi; Jinhui Tang 001 (ICCV, 2019)

AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations. - Guo-Jun Qi; Liheng Zhang; Chang Wen Chen; Qi Tian 001 (ICCV, 2019)

Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. - Bin Wang 065; Guojun Qi; Sheng Tang; Tianzhu Zhang 001; Yunchao Wei; Linghui Li; Yongdong Zhang 001 (IJCAI, 2019)

DCCL: A Benchmark for Cervical Cytology Analysis. - Changzheng Zhang; Dong Liu 002; Lanjun Wang; Yaoxin Li; Xiaoshi Chen; Rui Luo; Shuanlong Che; Hehua Liang; Yinghua Li; Si Liu; Dandan Tu; Guojun Qi; et al. (MLMI@MICCAI, 2019)

MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network. - Sen Zhang 006; Changzheng Zhang; Lanjun Wang; Cixing Li; Dandan Tu; Rui Luo; Guojun Qi; Jiebo Luo 001 (MLMI@MICCAI, 2019)

Improving Diversity of Image Captioning Through Variational Autoencoders and Adversarial Learning. - Li Ren; Guo-Jun Qi; Kien A. Hua (WACV, 2019)

Cascade Attention Machine for Occluded Landmark Detection in 2D X-Ray Angiography. - Liheng Zhang; Vivek K. Singh 002; Guo-Jun Qi; Terrence Chen (WACV, 2019)

Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval. - Lu Jin 001; Jinhui Tang 001; Zechao Li; Guo-Jun Qi; Fu Xiao 001 (CoRR, 2019)

Differential Recurrent Neural Network and its Application for Human Activity Recognition. - Naifan Zhuang; Guo-Jun Qi; The Duc Kieu; Kien A. Hua (CoRR, 2019)

Learning Generalized Transformation Equivariant Representations via Autoencoding Transformations. - Guo-Jun Qi (CoRR, 2019)

PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search. - Yuhui Xu; Lingxi Xie; Xiaopeng Zhang 008; Xin Chen 033; Guo-Jun Qi; Qi Tian 001; Hongkai Xiong (CoRR, 2019)

AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups. - Feng Lin 009; Haohang Xu; Houqiang Li; Hongkai Xiong; Guo-Jun Qi (CoRR, 2019)

EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning. - Xiao Wang 004; Daisuke Kihara; Jiebo Luo 001; Guo-Jun Qi (CoRR, 2019)

FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers. - Haohang Xu; Hongkai Xiong; Guojun Qi (CoRR, 2019)

Large-Scale Bisample Learning on ID Versus Spot Face Recognition. - Xiangyu Zhu 001; Hao Liu; Zhen Lei 001; Hailin Shi; Fan Yang 062; Dong Yi; Guojun Qi; Stan Z. Li (Int. J. Comput. Vis., 2019)

Image generation via latent space learning using improved combination. - Yanxiang Chen; Guang Wu; Jie Zhou 001; Guojun Qi (Neurocomputing, 2019)

Sharp Attention Network via Adaptive Sampling for Person Re-Identification. - Chen Shen 003; Guo-Jun Qi; Rongxin Jiang 001; Zhongming Jin 001; Hongwei Yong; Yaowu Chen; Xian-Sheng Hua 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Deep Ordinal Hashing With Spatial Attention. - Lu Jin 001; Xiangbo Shu; Kai Li 005; Zechao Li; Guo-Jun Qi; Jinhui Tang 001 (IEEE Trans. Image Process., 2019)

Deep Semantic-Preserving Ordinal Hashing for Cross-Modal Similarity Search. - Lu Jin 001; Kai Li 005; Zechao Li; Fu Xiao 001; Guo-Jun Qi; Jinhui Tang 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Multi-level Similarity Perception Network for Person Re-identification. - Chen Shen 003; Zhongming Jin 001; Wenqing Chu; Rongxin Jiang 001; Yaowu Chen; Guo-Jun Qi; Xian-Sheng Hua 001 (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Rethinking the Combined and Individual Orders of Derivative of States for Differential Recurrent Neural Networks: Deep Differential Recurrent Neural Networks. - Naifan Zhuang; Guo-Jun Qi; The Duc Kieu; Kien A. Hua (ACM Trans. Multim. Comput. Commun. Appl., 2019)

POST: POlicy-Based Switch Tracking. - Ning Wang 020; Wengang Zhou 001; Guojun Qi; Houqiang Li (AAAI, 2020)

GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations. - Xiang Gao 014; Wei Hu 003; Guo-Jun Qi (CVPR, 2020)

Transformation GAN for Unsupervised Image Synthesis and Representation Learning. - Jiayu Wang; Wengang Zhou 001; Guo-Jun Qi; Zhongqian Fu; Qi Tian 001; Houqiang Li (CVPR, 2020)

Rotation Equivariant Graph Convolutional Network for Spherical Image Classification. - Qin Yang 002; Chenglin Li; Wenrui Dai; Junni Zou; Guo-Jun Qi; Hongkai Xiong (CVPR, 2020)

WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning. - Liheng Zhang; Guo-Jun Qi (CVPR, 2020)

Cross-VAE: Towards Disentangling Expression from Identity For Human Faces. - Haozhe Wu; Jia Jia 001; Lingxi Xie; Guojun Qi; Yuanchun Shi; Qi Tian 001 (ICASSP, 2020)

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search. - Yuhui Xu; Lingxi Xie; Xiaopeng Zhang 008; Xin Chen 033; Guo-Jun Qi; Qi Tian 001; Hongkai Xiong (ICLR, 2020)

Spatial-Temporal Transformer Networks for Traffic Flow Forecasting. - Mingxing Xu; Wenrui Dai; Chunmiao Liu; Xing Gao 005; Weiyao Lin; Guo-Jun Qi; Hongkai Xiong (CoRR, 2020)

Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events. - Weiyao Lin; Huabin Liu 001; Shizhan Liu; Yuxi Li 009; Guo-Jun Qi; Rui Qian 001; Tao Wang 002; Nicu Sebe; Ning Xu 007; Hongkai Xiong; Mubarak Shah (CoRR, 2020)

K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations. - Haohang Xu; Hongkai Xiong; Guo-Jun Qi (CoRR, 2020)

Improved Techniques for Model Inversion Attacks. - Si Chen 008; Ruoxi Jia 001; Guo-Jun Qi (CoRR, 2020)

Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities. - Guo-Jun Qi (Int. J. Comput. Vis., 2020)

Learning Compact Features for Human Activity Recognition Via Probabilistic First-Take-All. - Jun Ye 003; Guo-Jun Qi; Naifan Zhuang; Hao Hu; Kien A. Hua (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

E-Optimal Sensor Selection for Compressive Sensing-Based Purposes. - Mohsen Joneidi; Alireza Zaeemzadeh; Behzad Shahrasbi; Guo-Jun Qi; Nazanin Rahnavard (IEEE Trans. Big Data, 2020)

Guest Editorial Introduction to the Special Section on Representation Learning for Visual Content Understanding. - Jiwen Lu; Yuxin Peng; Guo-Jun Qi; Jun Yu 002 (IEEE Trans. Circuits Syst. Video Technol., 2020)

A Unified Multi-Scenario Attacking Network for Visual Object Tracking. - Xuesong Chen 001; Canmiao Fu; Feng Zheng; Yong Zhao 010; Hongsheng Li 001; Ping Luo 002; Guo-Jun Qi (AAAI, 2021)

Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning. - Feng Lin 009; Haohang Xu; Houqiang Li; Hongkai Xiong; Guo-Jun Qi (AAAI, 2021)

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries. - Qianjiang Hu; Xiao Wang 004; Wei Hu 003; Guo-Jun Qi (CVPR, 2021)

Causal Attention for Vision-Language Tasks. - Xu Yang 021; Hanwang Zhang; Guojun Qi; Jianfei Cai 001 (CVPR, 2021)

Knowledge-Enriched Distributional Model Inversion Attacks. - Si Chen 008; Mostafa Kahla; Ruoxi Jia 001; Guo-Jun Qi (ICCV, 2021)

Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. - Ziteng Cui; Guo-Jun Qi; Lin Gu 003; Shaodi You; Zenghui Zhang; Tatsuya Harada (ICCV, 2021)

Contrastive Learning with Stronger Augmentations. - Xiao Wang 004; Guo-Jun Qi (CoRR, 2021)

Prior-knowledge and attention based meta-learning for few-shot learning. - Yunxiao Qin; Weiguo Zhang; Chenxu Zhao; Zezheng Wang; Xiangyu Zhu 001; Jingping Shi; Guojun Qi; Zhen Lei 001 (Knowl. Based Syst., 2021)

Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition. - Xiangbo Shu; Jinhui Tang 001; Guo-Jun Qi; Wei Liu 005; Jian Yang 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Partially-Connected Neural Architecture Search for Reduced Computational Redundancy. - Yuhui Xu; Lingxi Xie; Wenrui Dai; Xiaopeng Zhang 008; Xin Chen 033; Guo-Jun Qi; Hongkai Xiong; Qi Tian 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Human Parsing With Pyramidical Gather-Excite Context. - Sanyi Zhang; Guo-Jun Qi; Xiaochun Cao; Zhanjie Song; Jie Zhou 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

An End-to-End Foreground-Aware Network for Person Re-Identification. - Yiheng Liu; Wengang Zhou 001; Jianzhuang Liu; Guo-Jun Qi; Qi Tian 001; Houqiang Li (IEEE Trans. Image Process., 2021)

EnAET: A Self-Trained Framework for Semi-Supervised and Supervised Learning With Ensemble Transformations. - Xiao Wang 013; Daisuke Kihara; Jiebo Luo 001; Guo-Jun Qi (IEEE Trans. Image Process., 2021)

Progressive Unsupervised Person Re-Identification by Tracklet Association With Spatio-Temporal Regularization. - Qiaokang Xie; Wengang Zhou 001; Guo-Jun Qi; Qi Tian 001; Houqiang Li (IEEE Trans. Multim., 2021)

Planning Paths through Occlusions in Urban Environments. - Yutao Han; Youya Xia; Guo-Jun Qi; Mark E. Campbell (CoRL, 2022)

Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. - Ziteng Cui; Yingying Zhu 004; Lin Gu 003; Guo-Jun Qi; Xiaoxiao Li; Renrui Zhang; Zenghui Zhang; Tatsuya Harada (ECCV (9), 2022)

RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images. - Ziteng Cui; Yingying Zhu 004; Lin Gu 003; Guo-Jun Qi; Xiaoxiao Li; Peng Gao 007; Zenghui Zhang; Tatsuya Harada (CoRR, 2022)

Dual-Flattening Transformers through Decomposed Row and Column Queries for Semantic Segmentation. - Ying Wang 051; Chiuman Ho; Wenju Xu; Ziwei Xuan; Xudong Liu; Guo-Jun Qi (CoRR, 2022)

Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution. - Wenjie Li; Juncheng Li 003; Guangwei Gao; Jiantao Zhou 001; Jian Yang 003; Guo-Jun Qi (CoRR, 2022)

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future. - Guo-Jun Qi; Mubarak Shah (CoRR, 2022)

Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods. - Guo-Jun Qi; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning Generalized Transformation Equivariant Representations Via AutoEncoding Transformations. - Guo-Jun Qi; Liheng Zhang; Feng Lin 009; Xiao Wang 013 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Spatiotemporal Co-Attention Recurrent Neural Networks for Human-Skeleton Motion Prediction. - Xiangbo Shu; Liyan Zhang 001; Guo-Jun Qi; Wei Liu 005; Jinhui Tang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

$K$K-Shot Contrastive Learning of Visual Features With Multiple Instance Augmentations. - Haohang Xu; Hongkai Xiong; Guo-Jun Qi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition. - Guangwei Gao; Yi Yu 001; Jian Yang 003; Guo-Jun Qi; Meng Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Spatial-Temporal Pyramid Graph Reasoning for Action Recognition. - Tiantian Geng; Feng Zheng; Xiaorong Hou; Ke Lu 002; Guo-Jun Qi; Ling Shao 001 (IEEE Trans. Image Process., 2022)

AIParsing: Anchor-Free Instance-Level Human Parsing. - Sanyi Zhang; Xiaochun Cao; Guo-Jun Qi; Zhanjie Song; Jie Zhou 001 (IEEE Trans. Image Process., 2022)

High-Fidelity Clothed Avatar Reconstruction from a Single Image. - Tingting Liao; Xiaomei Zhang; Yuliang Xiu; Hongwei Yi; Xudong Liu; Guo-Jun Qi; Yong Zhang 034; Xuan Wang 009; Xiangyu Zhu 001; Zhen Lei 001 (CVPR, 2023)

OTAvatar: One-Shot Talking Face Avatar with Controllable Tri-Plane Rendering. - Zhiyuan Ma 002; Xiangyu Zhu 001; Guojun Qi; Zhen Lei 001; Lei Zhang 006 (CVPR, 2023)

POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery. - Ce Zheng; Xianpeng Liu; Guo-Jun Qi; Chen Chen 001 (CVPR, 2023)

FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER. - Ce Zheng; Matías Mendieta; Taojiannan Yang; Guo-Jun Qi; Chen Chen 001 (CVPR, 2023)

Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver. - Xianpeng Liu; Ce Zheng; Kelvin Cheng 003; Nan Xue 001; Guo-Jun Qi; Tianfu Wu 001 (ICCV, 2023)

Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search. - Benzhi Wang; Yang Yang 062; Jinlin Wu; Guo-Jun Qi; Zhen Lei 001 (ICCV, 2023)

LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar. - Yuelang Xu; Hongwen Zhang 001; Lizhen Wang 002; Xiaochen Zhao; Han Huang 005; Guojun Qi; Yebin Liu (SIGGRAPH (Conference Paper Track), 2023)

MorphGANFormer: Transformer-based Face Morphing and De-Morphing. - Na Zhang; Xudong Liu; Xin Li 005; Guo-Jun Qi (CoRR, 2023)

AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+. - Xiao Wang 013; Ying Wang 051; Ziwei Xuan; Guo-Jun Qi (CoRR, 2023)

DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video. - Ce Zheng; Guo-Jun Qi; Chen Chen 001 (CoRR, 2023)

Exploring the Robustness of Human Parsers Towards Common Corruptions. - Sanyi Zhang; Xiaochun Cao; Rui Wang 032; Guo-Jun Qi; Jie Zhou 001 (CoRR, 2023)

HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events. - Weiyao Lin; Huabin Liu 001; Shizhan Liu; Yuxi Li 009; Hongkai Xiong; Guojun Qi; Nicu Sebe (Int. J. Comput. Vis., 2023)

CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution. - Guangwei Gao; Zixiang Xu; Juncheng Li 003; Jian Yang 003; Tieyong Zeng; Guo-Jun Qi (IEEE Trans. Image Process., 2023)

Adversarial Dense Contrastive Learning for Semi-Supervised Semantic Segmentation. - Ying Wang 051; Ziwei Xuan; Chiuman Ho; Guo-Jun Qi (IEEE Trans. Image Process., 2023)

Exploring the Robustness of Human Parsers Toward Common Corruptions. - Sanyi Zhang; Xiaochun Cao; Rui Wang 032; Guo-Jun Qi; Jie Zhou 001 (IEEE Trans. Image Process., 2023)

Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation. - Rui Wang 095; Zuxuan Wu; Zejia Weng; Jingjing Chen 001; Guo-Jun Qi; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2023)

Self-Supervised Graph Representation Learning via Topology Transformations. - Xiang Gao 014; Wei Hu 003; Guo-Jun Qi (IEEE Trans. Knowl. Data Eng., 2023)

Contrastive Learning With Stronger Augmentations. - Xiao Wang 013; Guo-Jun Qi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Guest Editorial: Special issue on media convergence and intelligent technology in the metaverse. - Siwei Ma; Maoguo Gong; Guojun Qi; Yun Tie; Ivan Lee 001; Bo Li 004; Cong Jin (CAAI Trans. Intell. Technol., 2023)

CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-Adversarial Contrastive Learning. - Xiao Wang 013; Yuhang Huang; Dan Zeng 001; Guo-Jun Qi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Continuous cross-modal hashing. - Hao Zheng 008; Jinbao Wang; Xiantong Zhen; Jingkuan Song; Feng Zheng; Ke Lu 002; Guo-Jun Qi (Pattern Recognit., 2023)

BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion. - Yuming Qiao; Fanyi Wang; Jingwen Su; Yanhao Zhang; Yunjie Yu; Siyu Wu; Guo-Jun Qi (AAAI, 2024)

OmniMotionGPT: Animal Motion Generation with Limited Data. - Zhangsihao Yang; Mingyuan Zhou; Mengyi Shan; Bingbing Wen; Ziwei Xuan; Mitch Hill; Junjie Bai; Guo-Jun Qi; Yalin Wang 001 (CVPR, 2024)

OpenStory: A Large-Scale Open-Domain Dataset for Subject-Driven Visual Storytelling. - Zilyu Ye; Jinxiu Liu; Jinjin Cao; Zhiyang Chen 002; Ziwei Xuan; Mingyuan Zhou; Qi Liu 005; Guo-Jun Qi (CVPR Workshops, 2024)

UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures. - Mingyuan Zhou; Rakib Hyder; Ziwei Xuan; Guojun Qi (CVPR, 2024)

Towards Open Domain Text-Driven Synthesis of Multi-person Motions. - Mengyi Shan; Lu Dong 004; Yutao Han; Yuan Yao 001; Tao Liu; Ifeoma Nwogu; Guo-Jun Qi; Mitch Hill (ECCV (65), 2024)

Lightweight High-Resolution Subject Matting in the Real World. - Peng Liu; Fanyi Wang; Jingwen Su; Yanhao Zhang; Guojun Qi (ICASSP, 2024)

Zero-shot High-fidelity and Pose-controllable Character Animation. - Bingwen Zhu; Fanyi Wang; Tianyi Lu; Peng Liu; Jingwen Su; Jinxiu Liu; Yanhao Zhang; Zuxuan Wu; Guo-Jun Qi; Yu-Gang Jiang 001 (IJCAI, 2024)

Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization. - Liyuan Ma; Xueji Fang; Guo-Jun Qi (ACM Multimedia, 2024)

One-Step Diffusion Distillation through Score Implicit Matching. - Weijian Luo; Zemin Huang; Zhengyang Geng; J. Zico Kolter; Guo-Jun Qi (NeurIPS, 2024)

DiffSpeaker: Speech-Driven 3D Facial Animation with Diffusion Transformer. - Zhiyuan Ma 002; Xiangyu Zhu 001; Guojun Qi; Chen Qian 006; Zhaoxiang Zhang 001; Zhen Lei 001 (CoRR, 2024)

PoseAnimate: Zero-shot high fidelity pose controllable character animation. - Bingwen Zhu; Fanyi Wang; Tianyi Lu; Peng Liu; Jingwen Su; Jinxiu Liu; Yanhao Zhang; Zuxuan Wu; Yu-Gang Jiang 001; Guo-Jun Qi (CoRR, 2024)

Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling. - Zilyu Ye; Jinxiu Liu; Ruotian Peng; Jinjin Cao; Zhiyang Chen 002; Yiyang Zhang; Ziwei Xuan; Mingyuan Zhou; Xiaoqian Shen; Mohamed Elhoseiny; Qi Liu 005; Guo-Jun Qi (CoRR, 2024)

Flow Generator Matching. - Zemin Huang; Zhengyang Geng; Weijian Luo; Guo-Jun Qi (CoRR, 2024)

SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation. - Guoan Xu; Jiaming Chen; Wenfeng Huang; Wenjing Jia; Guangwei Gao; Guo-Jun Qi (CoRR, 2024)

Self-Guidance: Boosting Flow and Diffusion Generation on Their Own. - Tiancheng Li; Weijian Luo; Zhiyang Chen 002; Liyuan Ma; Guo-Jun Qi (CoRR, 2024)

Multi-Condition Latent Diffusion Network for Scene-Aware Neural Human Motion Prediction. - Xuehao Gao; Yang Yang 066; Yang Wu 001; Shaoyi Du; Guo-Jun Qi (IEEE Trans. Image Process., 2024)

Cross-Receptive Focused Inference Network for Lightweight Image Super-Resolution. - Wenjie Li; Juncheng Li 003; Guangwei Gao; Weihong Deng; Jiantao Zhou 001; Jian Yang 003; Guo-Jun Qi (IEEE Trans. Multim., 2024)

A Bayesian Federated Learning Framework With Online Laplace Approximation. - Liangxi Liu; Xi Jiang 009; Feng Zheng; Hong Chen 004; Guo-Jun Qi; Heng Huang; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Self-supervised Multi-view Learning via Auto-encoding 3D Transformations. - Xiang Gao 014; Wei Hu 003; Guo-Jun Qi (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis. - Yawen Huang; Hao Zheng 008; Yuexiang Li; Feng Zheng; Xiantong Zhen; Guo-Jun Qi; Ling Shao 001; Yefeng Zheng 001 (Int. J. Comput. Vis., 2024)

Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation. - Zilyu Ye; Zhiyang Chen 002; Tiancheng Li; Zemin Huang; Weijian Luo; Guo-Jun Qi (CVPR, 2025)

Efficient Image Super-Resolution With Feature Interaction Weighted Hybrid Network. - Wenjie Li; Juncheng Li 003; Guangwei Gao; Weihong Deng; Jian Yang 003; Guo-Jun Qi; Chia-Wen Lin (IEEE Trans. Multim., 2025)

Jointly Understand Your Command and Intention:Reciprocal Co-Evolution between Scene-Aware 3D Human Motion Synthesis and Analysis. - Xuehao Gao; Yang Yang 066; Shaoyi Du; Guo-Jun Qi; Junwei Han 001 (CoRR, 2025)

EigenActor: Variant Body-Object Interaction Generation Evolved from Invariant Action Basis Reasoning. - Xuehao Gao; Yang Yang 066; Shaoyi Du; Yang Wu 001; Yebin Liu; Guo-Jun Qi (CoRR, 2025)

Learning Dual-Domain Multi-Scale Representations for Single Image Deraining. - Shun Zou; Yi Zou; Mingya Zhang; Shipeng Luo; Guangwei Gao; Guojun Qi (CoRR, 2025)

Cross Paradigm Representation and Alignment Transformer for Image Deraining. - Shun Zou; Yi Zou; Juncheng Li 003; Guangwei Gao; Guojun Qi (CoRR, 2025)

Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models. - Zemin Huang; Zhiyang Chen 002; Zijun Wang; Tiancheng Li; Guo-Jun Qi (CoRR, 2025)

SLOT: Sample-specific Language Model Optimization at Test-time. - Yang Hu; Xingyu Zhang; Xueji Fang; Zhiyang Chen 002; Xiao Wang 012; Huatian Zhang 001; Guojun Qi (CoRR, 2025)

InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO. - Xueji Fang; Liyuan Ma; Zhiyang Chen 002; Mingyuan Zhou; Guo-Jun Qi (CoRR, 2025)

S2AFormer: Strip Self-Attention for Efficient Vision Transformer. - Guoan Xu; Wenfeng Huang; Wenjing Jia; Jiamao Li; Guangwei Gao; Guo-Jun Qi (CoRR, 2025)

FADPNet: Frequency-Aware Dual-Path Network for Face Super-Resolution. - Siyu Xu; Wenjie Li; Guangwei Gao; Jian Yang 003; Guo-Jun Qi; Chia-Wen Lin (CoRR, 2025)

Enhancing semantic audio-visual representation learning with supervised multi-scale attention. - Jiwei Zhang 012; Yi Yu 001; Suhua Tang; Guo-Jun Qi; Haiyuan Wu; Hirotaka Hachiya (Pattern Anal. Appl., 2025)