Guo-Jun Qi

Orcid: 0000-0003-3508-1851

According to our database1, Guo-Jun Qi authored at least 226 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis.
Int. J. Comput. Vis., November, 2024

Self-supervised Multi-view Learning via Auto-encoding 3D Transformations.
ACM Trans. Multim. Comput. Commun. Appl., January, 2024

A Bayesian Federated Learning Framework With Online Laplace Approximation.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Cross-Receptive Focused Inference Network for Lightweight Image Super-Resolution.
IEEE Trans. Multim., 2024

Multi-Condition Latent Diffusion Network for Scene-Aware Neural Human Motion Prediction.
IEEE Trans. Image Process., 2024

Flow Generator Matching.
CoRR, 2024

One-Step Diffusion Distillation through Score Implicit Matching.
CoRR, 2024

Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling.
CoRR, 2024

PoseAnimate: Zero-shot high fidelity pose controllable character animation.
CoRR, 2024

DiffSpeaker: Speech-Driven 3D Facial Animation with Diffusion Transformer.
CoRR, 2024

Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Zero-shot High-fidelity and Pose-controllable Character Animation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Lightweight High-Resolution Subject Matting in the Real World.
Proceedings of the IEEE International Conference on Acoustics, 2024

Towards Open Domain Text-Driven Synthesis of Multi-person Motions.
Proceedings of the Computer Vision - ECCV 2024, 2024

UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OpenStory: A Large-Scale Open-Domain Dataset for Subject-Driven Visual Storytelling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OmniMotionGPT: Animal Motion Generation with Limited Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Continuous cross-modal hashing.
Pattern Recognit., October, 2023

CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-Adversarial Contrastive Learning.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Guest Editorial: Special issue on media convergence and intelligent technology in the metaverse.
CAAI Trans. Intell. Technol., June, 2023

Contrastive Learning With Stronger Augmentations.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Self-Supervised Graph Representation Learning via Topology Transformations.
IEEE Trans. Knowl. Data Eng., April, 2023

Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation.
IEEE Trans. Multim., 2023

Exploring the Robustness of Human Parsers Toward Common Corruptions.
IEEE Trans. Image Process., 2023

Adversarial Dense Contrastive Learning for Semi-Supervised Semantic Segmentation.
IEEE Trans. Image Process., 2023

CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution.
IEEE Trans. Image Process., 2023

HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events.
Int. J. Comput. Vis., 2023

Exploring the Robustness of Human Parsers Towards Common Corruptions.
CoRR, 2023

DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video.
CoRR, 2023

AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+.
CoRR, 2023

MorphGANFormer: Transformer-based Face Morphing and De-Morphing.
CoRR, 2023

LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OTAvatar: One-Shot Talking Face Avatar with Controllable Tri-Plane Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

High-Fidelity Clothed Avatar Reconstruction from a Single Image.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
AIParsing: Anchor-Free Instance-Level Human Parsing.
IEEE Trans. Image Process., 2022

Spatial-Temporal Pyramid Graph Reasoning for Action Recognition.
IEEE Trans. Image Process., 2022

Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2022

$K$K-Shot Contrastive Learning of Visual Features With Multiple Instance Augmentations.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Spatiotemporal Co-Attention Recurrent Neural Networks for Human-Skeleton Motion Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning Generalized Transformation Equivariant Representations Via AutoEncoding Transformations.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network.
CoRR, 2022

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future.
CoRR, 2022

Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution.
CoRR, 2022

Dual-Flattening Transformers through Decomposed Row and Column Queries for Semantic Segmentation.
CoRR, 2022

RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images.
CoRR, 2022

Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Planning Paths through Occlusions in Urban Environments.
Proceedings of the Conference on Robot Learning, 2022

2021
Progressive Unsupervised Person Re-Identification by Tracklet Association With Spatio-Temporal Regularization.
IEEE Trans. Multim., 2021

EnAET: A Self-Trained Framework for Semi-Supervised and Supervised Learning With Ensemble Transformations.
IEEE Trans. Image Process., 2021

An End-to-End Foreground-Aware Network for Person Re-Identification.
IEEE Trans. Image Process., 2021

Human Parsing With Pyramidical Gather-Excite Context.
IEEE Trans. Circuits Syst. Video Technol., 2021

Partially-Connected Neural Architecture Search for Reduced Computational Redundancy.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Prior-knowledge and attention based meta-learning for few-shot learning.
Knowl. Based Syst., 2021

Contrastive Learning with Stronger Augmentations.
CoRR, 2021

Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Knowledge-Enriched Distributional Model Inversion Attacks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Causal Attention for Vision-Language Tasks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Unified Multi-Scenario Attacking Network for Visual Object Tracking.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Guest Editorial Introduction to the Special Section on Representation Learning for Visual Content Understanding.
IEEE Trans. Circuits Syst. Video Technol., 2020

E-Optimal Sensor Selection for Compressive Sensing-Based Purposes.
IEEE Trans. Big Data, 2020

Learning Compact Features for Human Activity Recognition Via Probabilistic First-Take-All.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities.
Int. J. Comput. Vis., 2020

Improved Techniques for Model Inversion Attacks.
CoRR, 2020

K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations.
CoRR, 2020

Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events.
CoRR, 2020

Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.
CoRR, 2020

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

Cross-VAE: Towards Disentangling Expression from Identity For Human Faces.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Rotation Equivariant Graph Convolutional Network for Spherical Image Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Transformation GAN for Unsupervised Image Synthesis and Representation Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

POST: POlicy-Based Switch Tracking.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Rethinking the Combined and Individual Orders of Derivative of States for Differential Recurrent Neural Networks: Deep Differential Recurrent Neural Networks.
ACM Trans. Multim. Comput. Commun. Appl., 2019

Multi-level Similarity Perception Network for Person Re-identification.
ACM Trans. Multim. Comput. Commun. Appl., 2019

Deep Semantic-Preserving Ordinal Hashing for Cross-Modal Similarity Search.
IEEE Trans. Neural Networks Learn. Syst., 2019

Deep Ordinal Hashing With Spatial Attention.
IEEE Trans. Image Process., 2019

Sharp Attention Network via Adaptive Sampling for Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2019

Image generation via latent space learning using improved combination.
Neurocomputing, 2019

Large-Scale Bisample Learning on ID Versus Spot Face Recognition.
Int. J. Comput. Vis., 2019

FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers.
CoRR, 2019

EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning.
CoRR, 2019

AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups.
CoRR, 2019

PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search.
CoRR, 2019

Learning Generalized Transformation Equivariant Representations via Autoencoding Transformations.
CoRR, 2019

Differential Recurrent Neural Network and its Application for Human Activity Recognition.
CoRR, 2019

Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval.
CoRR, 2019

Cascade Attention Machine for Occluded Landmark Detection in 2D X-Ray Angiography.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Improving Diversity of Image Captioning Through Variational Autoencoders and Adversarial Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

DCCL: A Benchmark for Cervical Cytology Analysis.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Few-Shot Image Recognition With Knowledge Transfer.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Task Agnostic Meta-Learning for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Adaptively Scale Recurrent Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning Label Preserving Binary Codes for Multimedia Retrieval: A General Approach.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Semantic Neighbor Graph Hashing for Multimodal Retrieval.
IEEE Trans. Image Process., 2018

Image Classification With Tailored Fine-Grained Dictionaries.
IEEE Trans. Circuits Syst. Video Technol., 2018

Co-SpOT: Cooperative Spectrum Opportunity Detection Using Bayesian Clustering in Spectrum-Heterogeneous Cognitive Radio Networks.
IEEE Trans. Cogn. Commun. Netw., 2018

Rethink and Redesign Meta learning.
CoRR, 2018

Task-Agnostic Meta-Learning for Few-shot Learning.
CoRR, 2018

IGCV2: Interleaved Structured Sparse Convolutional Neural Networks.
CoRR, 2018

Deep Differential Recurrent Neural Networks.
CoRR, 2018

Latent Dirichlet Truth Discovery: Separating Trustworthy and Untrustworthy Components in Data Sources.
IEEE Access, 2018

Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Previewer for Multi-Scale Object Detector.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Multimedia Content Understanding by Learning from Very Few Examples: Recent Progress on Unsupervised, Semi-Supervised and Supervised Deep Learning Approaches.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Automated Pulmonary Nodule Detection: High Sensitivity with Few Candidates.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

An Adversarial Approach to Hard Triplet Generation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Generalized Loss-Sensitive Adversarial Learning with Manifold Margins.
Proceedings of the Computer Vision - ECCV 2018, 2018

Interleaved Structured Sparse Convolutional Neural Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Global Versus Localized Generative Adversarial Nets.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
A Temporal Order Modeling Approach to Human Action Recognition from Multimodal Sensor Data.
ACM Trans. Multim. Comput. Commun. Appl., 2017

LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia.
IEEE Trans. Image Process., 2017

Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Linear Subspace Ranking Hashing for Cross-Modal Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Semantic Image Retrieval with Feature Space Rankings.
Int. J. Semantic Comput., 2017

Global versus Localized Generative Adversarial Nets.
CoRR, 2017

Interleaved Group Convolutions for Deep Neural Networks.
CoRR, 2017

Stock Price Prediction via Discovering Multi-Frequency Trading Patterns.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

State-Frequency Memory Recurrent Neural Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Context-patch based face hallucination via thresholding locality-constrained representation and reproducing learning.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Interleaved Group Convolutions.
Proceedings of the IEEE International Conference on Computer Vision, 2017

A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Temporal Domain Neural Encoder for Video Representation Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

CLARE: A Joint Approach to Label Classification and Tag Recommendation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Generalized Deep Transfer Networks for Knowledge Propagation in Heterogeneous Domains.
ACM Trans. Multim. Comput. Commun. Appl., 2016

Guest Editorial: Big Media Data: Understanding, Search, and Mining.
IEEE Trans. Big Data, 2016

Large-scale supervised similarity learning in networks.
Knowl. Inf. Syst., 2016

Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder Detection.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Supervised Ranking Hash for Semantic Similarity Search.
Proceedings of the IEEE International Symposium on Multimedia, 2016

Cross-modal hashing through ranking subspace learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Supervised Quantization for Similarity Search.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Hierarchically Gated Deep Networks for Semantic Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Guest Editorial: Deep Learning for Multimedia Computing.
IEEE Trans. Multim., 2015

Breaking the Barrier to Transferring Link Information across Networks.
IEEE Trans. Knowl. Data Eng., 2015

Guest Editorial: Big Media Data: Understanding, Search, and Mining (Part 2).
IEEE Trans. Big Data, 2015

Ontological Random Forests for Image Classification.
Int. J. Inf. Retr. Res., 2015

First-Take-All: Temporal Order-Preserving Hashing for 3D Action Videos.
CoRR, 2015

Decentralized Recommender Systems.
CoRR, 2015

Rank Subspace Learning for Compact Hash Codes.
CoRR, 2015

Weakly-Shared Deep Transfer Networks for Heterogeneous-Domain Knowledge Propagation.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Temporal Order-Preserving Dynamic Quantization for Human Action Recognition from Multimodal Sensor Streams.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Heterogeneous Network Embedding via Deep Architectures.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Differential Recurrent Neural Networks for Action Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Sparse composite quantization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Multi-Label Image Categorization With Sparse Factor Representation.
IEEE Trans. Image Process., 2014

Social media mining and knowledge discovery.
Multim. Syst., 2014

Factorized Similarity Learning in Networks.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Information trust, inference and transfer in social and information networks
PhD thesis, 2013

Cross-Space Affinity Learning with Its Application to Movie Recommendation.
IEEE Trans. Knowl. Data Eng., 2013

Mining collective intelligence in diverse groups.
Proceedings of the 22nd International World Wide Web Conference, 2013

Online community detection in social sensing.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Link prediction across networks by biased cross-network sampling.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Clustering Multimedia Data.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
Web-Scale Multimedia Information Networks.
Proc. IEEE, 2012

Exploring Context and Content Links in Social Media: A Latent Space Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Recommending Flickr groups with social topic model.
Inf. Retr., 2012

Learning from Collective Intelligence in Groups
CoRR, 2012

On clustering heterogeneous social media objects with outlier links.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Transfer Learning of Distance Metrics by Cross-Domain Metric Sampling across Heterogeneous Spaces.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Community Detection with Edge Content in Social Media Networks.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011
Image annotation by <i>k</i>NN-sparse graph-based label propagation over noisily tagged web images.
ACM Trans. Intell. Syst. Technol., 2011

Towards semantic knowledge propagation from text corpus to web images.
Proceedings of the 20th International Conference on World Wide Web, 2011

PhotoNet: A Similarity-Aware Picture Delivery Service for Situation Awareness.
Proceedings of the 32nd IEEE Real-Time Systems Symposium, 2011

PhotoNet: A similarity-aware image delivery service for situation awareness.
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

Locality-sensitive support vector machine by exploring local correlation and global regularization.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Towards cross-category knowledge propagation for learning visual concepts.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Multimedia Information Networks in Social Media.
Proceedings of the Social Network Data Analytics, 2011

2010
Image Annotation by Graph-Based Inference With Integrated Multiple/Single Instance Representations.
IEEE Trans. Multim., 2010

Image Classification With Kernelized Spatial-Context.
IEEE Trans. Multim., 2010

Enhancing Multi-lingual Information Extraction via Cross-Media Inference and Fusion.
Proceedings of the COLING 2010, 2010

2009
Correlative Linear Neighborhood Propagation for Video Annotation.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Unified Video Annotation via Multigraph Learning.
IEEE Trans. Circuits Syst. Video Technol., 2009

Video semantic analysis based on structure-sensitive anisotropic manifold ranking.
Signal Process., 2009

Two-Dimensional Multilabel Active Learning with an Efficient Online Adaptation Model for Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Semi-supervised kernel density estimation for video annotation.
Comput. Vis. Image Underst., 2009

Inferring semantic concepts from community-contributed images and noisy tags.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Learning semantic distance from community-tagged media collection.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

An efficient sparse metric learning in high-dimensional space via <i>l</i><sub>1</sub>-penalized log-determinant regularization.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Active Video Annotation.
Proceedings of the Semantic Mining Technologies for Multimedia Databases., 2009

2008
Correlative multilabel video annotation with temporal kernels.
ACM Trans. Multim. Comput. Commun. Appl., 2008

Video Annotation Based on Kernel Linear Neighborhood Propagation.
IEEE Trans. Multim., 2008

MSRA atT TRECVID 2008: High-Level Feature Extraction and Automatic Search.
Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008

Integrated graph-based semi-supervised multiple/single instance learning framework for image annotation.
Proceedings of the 16th International Conference on Multimedia 2008, 2008

Online multi-label active annotation: towards large-scale content-based video search.
Proceedings of the 16th International Conference on Multimedia 2008, 2008

Query-independent learning for video search.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Joint multi-label multi-instance learning for image classification.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

A joint appearance-spatial distance for kernel-based image categorization.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Two-Dimensional Active Learning for image classification.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Interactive Video Annotation by Multi-Concept Multi-Modality Active Learning.
Int. J. Semantic Comput., 2007

MSRA-USTC-SJTU at TRECVID 2007: High-Level Feature Extraction and Search.
Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007

Kernel-Based Linear Neighborhood Propagation for Semantic Video Annotation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Refining video annotation by exploiting pairwise concurrent relation.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Structure-sensitive manifold ranking for video concept detection.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Typicality ranking via semi-supervised multiple-instance learning.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Correlative multi-label video annotation.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Learning Concepts by Modeling Relationships.
Proceedings of the Multimedia Content Analysis and Mining, International Workshop, 2007

A Novel Multiple Instance Learning Approach for Image Retrieval Based on Adaboost Feature Selection.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Anisotropic Manifold Ranking for Video Annotation.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Beyond Accuracy: Typicality Ranking for Video Annotation.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Transductive Inference with Hierarchical Clustering for Video Annotation.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Temporally Consistent Gaussian Random Field for Video Semantic Analysis.
Proceedings of the International Conference on Image Processing, 2007

Concurrent Multiple Instance Learning for Image Categorization.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Microsoft Research Asia TRECVID 2006 High-Level Feature Extraction and Rushes Exploitation.
Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006

Efficient semantic annotation method for indexing large personal video database.
Proceedings of the 8th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2006

Video Annotation by Active Learning and Semi-Supervised Ensembling.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Video Annotation by Active Learning and Cluster Tuning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006


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