Liefeng Bo

According to our database1, Liefeng Bo authored at least 116 papers between 2004 and 2024.

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Bibliography

2024
Multi-Behavior Graph Neural Networks for Recommender System.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Freditor: High-Fidelity and Transferable NeRF Editing by Frequency Decomposition.
CoRR, 2024

IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images.
CoRR, 2024

An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes Using Pre-Trained Text-to-Image Models.
CoRR, 2024

OV9D: Open-Vocabulary Category-Level 9D Object Pose and Size Estimation.
CoRR, 2024

VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model.
CoRR, 2024

EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions.
CoRR, 2024

Sketch2NeRF: Multi-view Sketch-guided Text-to-3D Generation.
CoRR, 2024

DanceMeld: Unraveling Dance Phrases with Hierarchical Latent Codes for Music-to-Dance Synthesis.
CoRR, 2024

Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Make-A-Character: High Quality Text-to-3D Character Generation within Minutes.
CoRR, 2023

MaTe3D: Mask-guided Text-based 3D-aware Portrait Editing.
CoRR, 2023

VividTalk: One-Shot Audio-Driven Talking Head Generation Based on 3D Hybrid Prior.
CoRR, 2023

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation.
CoRR, 2023

RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D.
CoRR, 2023

Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On.
CoRR, 2023

DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Models.
CoRR, 2023

PanoContext-Former: Panoramic Total Scene Understanding with a Transformer.
CoRR, 2023

Evaluate Geometry of Radiance Field with Low-frequency Color Prior.
CoRR, 2023

Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi-Modal Diffusion-Renderings.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Stable Human Pose Estimation via Cross-View Fusion and Foot Stabilization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

One-Shot High-Fidelity Talking-Head Synthesis with Deformable Neural Radiance Field.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Compressing Volumetric Radiance Fields to 1 MB.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
4K-NeRF: High Fidelity Neural Radiance Fields at Ultra High Resolutions.
CoRR, 2022

A-ACT: Action Anticipation through Cycle Transformations.
CoRR, 2022

An Efficient and Robust System for Vertically Federated Random Forest.
CoRR, 2022

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction.
CoRR, 2022

Memory-Augmented Non-Local Attention for Video Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Learning Self-Supervised Space-Time CNN for Fast Video Style Transfer.
IEEE Trans. Image Process., 2021

Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform.
CoRR, 2021

Data Augmentation for Object Detection via Differentiable Neural Rendering.
CoRR, 2021

Transformer-based Conditional Variational Autoencoder for Controllable Story Generation.
CoRR, 2021

Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events.
CoRR, 2021

Graph Meta Network for Multi-Behavior Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Social Recommendation with Self-Supervised Metagraph Informax Network.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Knowledge-aware Coupled Graph Neural Network for Social Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Generative Adversarial Attributed Network Anomaly Detection.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network.
CoRR, 2019

Heterogeneous Deep Graph Infomax.
CoRR, 2019



VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

ScratchDet: Training Single-Shot Object Detectors From Scratch.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Spatiotemporal CNN for Video Object Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Dynamic Fusion Network for Traffic Accident Forecasting.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch.
CoRR, 2018

2014
Learning hierarchical sparse features for RGB-(D) object recognition.
Int. J. Robotics Res., 2014

Learning to identify new objects.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Hierarchical sparse coded surface models.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

ST-HMP: Unsupervised Spatio-Temporal feature learning for tactile data.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Unsupervised feature learning for 3D scene labeling.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark.
Proceedings of the Consumer Depth Cameras for Computer Vision, 2013

Attribute based object identification.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Multipath Sparse Coding Using Hierarchical Matching Pursuit.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Compact RGBD Surface Models Based on Sparse Coding.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Unsupervised Template Learning for Fine-Grained Object Recognition.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Discriminatively Trained Sparse Code Gradients for Contour Detection.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Unsupervised Feature Learning for RGB-D Based Object Recognition.
Proceedings of the Experimental Robotics, 2012

Detection-based object labeling in 3D scenes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

A Joint Model of Language and Perception for Grounded Attribute Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

RGB-(D) scene labeling: Features and algorithms.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

SensorSift: balancing sensor data privacy and utility in automated face understanding.
Proceedings of the 28th Annual Computer Security Applications Conference, 2012

2011
Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Depth kernel descriptors for object recognition.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Gambit: An autonomous chess-playing robotic system.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Sparse distance learning for object recognition combining RGB and depth information.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

A large-scale hierarchical multi-view RGB-D object dataset.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Object recognition with hierarchical kernel descriptors.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Toward Robust Material Recognition for Everyday Objects.
Proceedings of the British Machine Vision Conference, 2011

A Scalable Tree-Based Approach for Joint Object and Pose Recognition.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Feature-Based Pose Estimation.
Proceedings of the Visual Analysis of Humans - Looking at People., 2011

2010
Twin Gaussian Processes for Structured Prediction.
Int. J. Comput. Vis., 2010

Kernel Descriptors for Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Supervised Spectral Latent Variable Models.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Adaptive spherical Gaussian kernel in sparse Bayesian learning framework for nonlinear regression.
Expert Syst. Appl., 2009

Conditional Neural Fields.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Efficient Match Kernel between Sets of Features for Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Structural SVM for visual localization and continuous state estimation.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Selection and context for action recognition.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Structured output-associative regression.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm.
IEEE Trans. Neural Networks, 2008

Spectral Clustering Ensemble Applied to SAR Image Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2008

Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection.
Evol. Comput., 2008

Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression.
Proceedings of the UAI 2008, 2008

Fast algorithms for large scale conditional 3D prediction.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Fast Sparse Approximation for Least Squares Support Vector Machine.
IEEE Trans. Neural Networks, 2007

Working Set Selection Using Functional Gain for LS-SVM.
IEEE Trans. Neural Networks, 2007

Recursive Finite Newton Algorithm for Support Vector Regression in the Primal.
Neural Comput., 2007

Density-Sensitive Evolutionary Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

2006
Feature Scaling for Kernel Fisher Discriminant Analysis Using Leave-One-Out Cross Validation.
Neural Comput., 2006

A Modified K-Means Clustering with a Density-Sensitive Distance Metric.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Sparse Kernel Ridge Regression Using Backward Deletion.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Sparse Gaussian Processes Using Backward Elimination.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Kernel Uncorrelated Discriminant Analysis for Radar Target Recognition.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Training Support Vector Machines Using Greedy Stagewise Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Training Multi-layer Perceptrons Using MiniMin Approach.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
Sparse Bayesian Learning Based on an Efficient Subset Selection.
Proceedings of the Advances in Neural Networks, 2004


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