Li Liu

Affiliations:
  • Inception Institute of Artificial Intelligence, Abu Dhabi, UAE
  • JD Artificial Intelligence Research (JDAIR), Beijing, China (former)
  • Malong Technologies Company, Ltd., Shenzhen, China (former)
  • Nanjing University of Information Science and Technology, China (former)
  • Northumbria University, Newcastle upon Tyne, UK (former)
  • University of East Anglia, School of Computing Sciences, Norwich, UK (former)
  • University of Sheffield, Department of Electronic and Electrical Engineering, UK (PhD 2014)


According to our database1, Li Liu authored at least 139 papers between 2012 and 2021.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Correction to: Internal and external memory set containment join.
VLDB J., 2021

Internal and external memory set containment join.
VLDB J., 2021

A plug-in attribute correction module for generalized zero-shot learning.
Pattern Recognit., 2021

Sparse graph based self-supervised hashing for scalable image retrieval.
Inf. Sci., 2021

Learning Multi-Attention Context Graph for Group-Based Re-Identification.
CoRR, 2021

Anchor-Free Person Search.
CoRR, 2021

Anchor-Free Person Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Group Whitening: Balancing Learning Efficiency and Representational Capacity.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Exploiting Web Images for Multi-Output Classification: From Category to Subcategories.
IEEE Trans. Neural Networks Learn. Syst., 2020

SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2020

Approximate Kernel Selection via Matrix Approximation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Towards Automatic Construction of Diverse, High-Quality Image Datasets.
IEEE Trans. Knowl. Data Eng., 2020

STAR: A Structure and Texture Aware Retinex Model.
IEEE Trans. Image Process., 2020

Noisy-as-Clean: Learning Self-Supervised Denoising From Corrupted Image.
IEEE Trans. Image Process., 2020

NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising.
IEEE Trans. Image Process., 2020

Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning.
IEEE Trans. Image Process., 2020

Graph Convolutional Network Hashing.
IEEE Trans. Cybern., 2020

Deep transductive network for generalized zero shot learning.
Pattern Recognit., 2020

Deep quantization generative networks.
Pattern Recognit., 2020

Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs.
Pattern Recognit., 2020

Semantic-rebased cross-modal hashing for scalable unsupervised text-visual retrieval.
Inf. Process. Manag., 2020

Group Whitening: Balancing Learning Efficiency and Representational Capacity.
CoRR, 2020

Normalization Techniques in Training DNNs: Methodology, Analysis and Application.
CoRR, 2020

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition.
CoRR, 2020

Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis.
CoRR, 2020

Deep Local Binary Coding for Person Re-Identification by Delving into the Details.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Improved Residual Networks for Image and Video Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

On the Number of Linear Regions of Convolutional Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Region Graph Embedding Network for Zero-Shot Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Invertible Zero-Shot Recognition Flows.
Proceedings of the Computer Vision - ECCV 2020, 2020

Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Attentive and Hierarchical Representations for 3D Shape Recognition.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Auto-Encoding Twin-Bottleneck Hashing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An Investigation Into the Stochasticity of Batch Whitening.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Controllable Orthogonalization in Training DNNs.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Extracting Multiple Visual Senses for Web Learning.
IEEE Trans. Multim., 2019

Scalable Supervised Asymmetric Hashing With Semantic and Latent Factor Embedding.
IEEE Trans. Image Process., 2019

Extracting Privileged Information for Enhancing Classifier Learning.
IEEE Trans. Image Process., 2019

Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval.
IEEE Trans. Image Process., 2019

Scalable Zero-Shot Learning via Binary Visual-Semantic Embeddings.
IEEE Trans. Image Process., 2019

Deep Self-Taught Hashing for Image Retrieval.
IEEE Trans. Cybern., 2019

Binary Multi-View Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Multiview discriminative marginal metric learning for makeup face verification.
Neurocomputing, 2019

Adversarial unseen visual feature synthesis for Zero-shot Learning.
Neurocomputing, 2019

Clustering-driven unsupervised deep hashing for image retrieval.
Neurocomputing, 2019

Unsupervised Binary Representation Learning with Deep Variational Networks.
Int. J. Comput. Vis., 2019

DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images.
CoRR, 2019

Fast Large-Scale Discrete Optimization Based on Principal Coordinate Descent.
CoRR, 2019

Embarrassingly Simple Binary Representation Learning.
CoRR, 2019

Noisy-As-Clean: Learning Unsupervised Denoising from the Corrupted Image.
CoRR, 2019

Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generative Reconstructive Hashing for Incomplete Video Analysis.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Dynamically Visual Disambiguation of Keyword-based Image Search.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Toward Efficient Navigation of Massive-Scale Geo-Textual Streams.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

LCJoin: Set Containment Join via List Crosscutting.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Embarrassingly Simple Binary Representation Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

RANet: Ranking Attention Network for Fast Video Object Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Attentive Region Embedding Network for Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Iterative Normalization: Beyond Standardization Towards Efficient Whitening.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Marginal Representation Learning With Graph Structure Self-Adaptation.
IEEE Trans. Neural Networks Learn. Syst., 2018

Fast Automatic Vehicle Annotation for Urban Traffic Surveillance.
IEEE Trans. Intell. Transp. Syst., 2018

Multiview Discrete Hashing for Scalable Multimedia Search.
ACM Trans. Intell. Syst. Technol., 2018

Vehicle Re-Identification by Deep Hidden Multi-View Inference.
IEEE Trans. Image Process., 2018

Unsupervised Deep Hashing With Pseudo Labels for Scalable Image Retrieval.
IEEE Trans. Image Process., 2018

Deep Action Parsing in Videos With Large-Scale Synthesized Data.
IEEE Trans. Image Process., 2018

Dense Invariant Feature-Based Support Vector Ranking for Cross-Camera Person Reidentification.
IEEE Trans. Circuits Syst. Video Technol., 2018

Zero-shot learning via discriminative representation extraction.
Pattern Recognit. Lett., 2018

Quantization-based hashing: a general framework for scalable image and video retrieval.
Pattern Recognit., 2018

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Zero-Shot Learning Using Synthesised Unseen Visual Data with Diffusion Regularisation.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

GraphCAR: Content-aware Multimedia Recommendation with Graph Autoencoder.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Visual Spatial Attention Network for Relationship Detection.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Learning to Synthesize 3D Indoor Scenes from Monocular Images.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Generative Domain-Migration Hashing for Sketch-to-Image Retrieval.
Proceedings of the Computer Vision - ECCV 2018, 2018

Highly-Economized Multi-view Binary Compression for Scalable Image Clustering.
Proceedings of the Computer Vision - ECCV 2018, 2018

TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States.
Proceedings of the Computer Vision - ECCV 2018, 2018

A Joint Generative Model for Zero-Shot Learning.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Zero-Shot Sketch-Image Hashing.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Pixel-level Semantics Guided Image Colorization.
Proceedings of the British Machine Vision Conference 2018, 2018

Structure-Aware 3D Shape Synthesis from Single-View Images.
Proceedings of the British Machine Vision Conference 2018, 2018

Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Binary Set Embedding for Cross-Modal Retrieval.
IEEE Trans. Neural Networks Learn. Syst., 2017

Asymmetric Binary Coding for Image Search.
IEEE Trans. Multim., 2017

Learning Short Binary Codes for Large-scale Image Retrieval.
IEEE Trans. Image Process., 2017

Sequential Discrete Hashing for Scalable Cross-Modality Similarity Retrieval.
IEEE Trans. Image Process., 2017

Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval.
IEEE Trans. Image Process., 2017

RGB-D datasets using microsoft kinect or similar sensors: a survey.
Multim. Tools Appl., 2017

Performance evaluation of deep feature learning for RGB-D image/video classification.
Inf. Sci., 2017

Latent Structure Preserving Hashing.
Int. J. Comput. Vis., 2017

Fast action retrieval from videos via feature disaggregation.
Comput. Vis. Image Underst., 2017

Towards Fine-Grained Open Zero-Shot Learning: Inferring Unseen Visual Features from Attributes.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Classification by Retrieval: Binarizing Data and Classifiers.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Temporal Binary Coding for Large-Scale Video Search.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Deep Asymmetric Pairwise Hashing.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Unsupervised Deep Video Hashing with Balanced Rotation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

DAP3D-Net: Where, what and how actions occur in videos?
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Zero-Shot Action Recognition with Error-Correcting Output Codes.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Binary Coding for Partial Action Analysis with Limited Observation Ratios.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Discretely Coding Semantic Rank Orders for Supervised Image Hashing.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Fast Person Re-identification via Cross-Camera Semantic Binary Transformation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Unsupervised Deep Generative Hashing.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Sequential Compact Code Learning for Unsupervised Image Hashing.
IEEE Trans. Neural Networks Learn. Syst., 2016

Compressive Sequential Learning for Action Similarity Labeling.
IEEE Trans. Image Process., 2016

Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach.
IEEE Trans. Cybern., 2016

Unsupervised Local Feature Hashing for Image Similarity Search.
IEEE Trans. Cybern., 2016

Beyond Semantic Attributes: Discrete Latent Attributes Learning for Zero-Shot Recognition.
IEEE Signal Process. Lett., 2016

Structure-Preserving Binary Representations for RGB-D Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Kernelized Multiview Projection for Robust Action Recognition.
Int. J. Comput. Vis., 2016

DAVE: A Unified Framework for Fast Vehicle Detection and Annotation.
Proceedings of the Computer Vision - ECCV 2016, 2016

Attribute Embedding with Visual-Semantic Ambiguity Removal for Zero-shot Learning.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Multiview Alignment Hashing for Efficient Image Search.
IEEE Trans. Image Process., 2015

Evolutionary compact embedding for large-scale image classification.
Inf. Sci., 2015

Image-to-class distance ratio: A feature filtering metric for image classification.
Neurocomputing, 2015

Kernelized Multiview Projection.
CoRR, 2015

Projection Bank: From High-Dimensional Data to Medium-Length Binary Codes.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Latent Structure Preserving Hashing.
Proceedings of the British Machine Vision Conference 2015, 2015

Local Feature Binary Coding for Approximate Nearest Neighbor Search.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Feature Learning for Image Classification Via Multiobjective Genetic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2014

Natural image denoising using evolved local adaptive filters.
Signal Process., 2014

Realistic action recognition via sparsely-constructed Gaussian processes.
Pattern Recognit., 2014

Discriminative Partition Sparsity Analysis.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Learning Discriminative Key Poses for Action Recognition.
IEEE Trans. Cybern., 2013

Human action recognition based on boosted feature selection and naive Bayes nearest-neighbor classification.
Signal Process., 2013

Boosted key-frame selection and correlated pyramidal motion-feature representation for human action recognition.
Pattern Recognit., 2013

Building holistic descriptors for scene recognition: a multi-objective genetic programming approach.
Proceedings of the ACM Multimedia Conference, 2013

Learning Discriminative Representations from RGB-D Video Data.
Proceedings of the IJCAI 2013, 2013

Synthesis of spatio-temporal descriptors for dynamic hand gesture recognition using genetic programming.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012
Genetic Programming-Evolved Spatio-Temporal Descriptor for Human Action Recognition.
Proceedings of the British Machine Vision Conference, 2012


  Loading...