Liang Zheng

Orcid: 0000-0002-1464-9500

Affiliations:
  • Australian National University, Canberra, ACT, Australia
  • University of Technology at Sydney, Centre for AI, Ultimo, NSW, Australia
  • University of Texas at San Antonio, TX, USA (former)
  • Tsinghua University, Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems, Beijing, China (PhD 2015)


According to our database1, Liang Zheng authored at least 183 papers between 2011 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Meet JEANIE: A Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment.
Int. J. Comput. Vis., September, 2024

Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

View-coherent correlation consistency for semi-supervised semantic segmentation.
Pattern Recognit., March, 2024

AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation?
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Trans. Mach. Learn. Res., 2024

Scalable Deep Color Quantization: A Cluster Imitation Approach.
IEEE Trans. Image Process., 2024

Assessing Model Generalization in Vicinity.
CoRR, 2024

Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization.
CoRR, 2024

Optimizing Calibration by Gaining Aware of Prediction Correctness.
CoRR, 2024

Training A Small Emotional Vision Language Model for Visual Art Comprehension.
CoRR, 2024

Strong and Controllable Blind Image Decomposition.
CoRR, 2024

The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
CoRR, 2024

Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment.
CoRR, 2024

Taylor Videos for Action Recognition.
CoRR, 2024

MORE'24 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Taylor Videos for Action Recognition.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024


SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning to Select Views for Efficient Multi-View Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
U-Turn: Crafting Adversarial Queries with Opposite-Direction Features.
Int. J. Comput. Vis., April, 2023

A Study of Using Synthetic Data for Effective Association Knowledge Learning.
Mach. Intell. Res., April, 2023

Guest Editorial: Special Issue on Machine Learning and Signal Processing.
J. Signal Process. Syst., January, 2023

Optimizing Camera Configurations for Multi-View Pedestrian Detection.
CoRR, 2023

In Search of Lost Online Test-time Adaptation: A Survey.
CoRR, 2023

Adaptive Multi-head Contrastive Learning.
CoRR, 2023

Alice Benchmarks: Connecting Real World Object Re-Identification with the Synthetic.
CoRR, 2023

Training with Product Digital Twins for AutoRetail Checkout.
CoRR, 2023

Large-scale Training Data Search for Object Re-identification.
CoRR, 2023

Learning to Select Camera Views: Efficient Multiview Understanding at Few Glances.
CoRR, 2023

Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift.
CoRR, 2023

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation.
CoRR, 2023

Split to Learn: Gradient Split for Multi-Task Human Image Analysis.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation.
Proceedings of the International Conference on Machine Learning, 2023

CircNet: Meshing 3D Point Clouds with Circumcenter Detection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Training Data Optimization in Human-Centric Analysis.
Proceedings of the 4th International Workshop on Human-centric Multimedia Analysis, 2023

Large-scale Training Data Search for Object Re-identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Bag-of-Prototypes Representation for Dataset-Level Applications.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

High-Fidelity Guided Image Synthesis with Latent Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


2022
Introduction to the Special Section on Learning Representations, Similarity, and Associations in Dynamic Multimedia Environments.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Learning to Simulate Complex Scenes for Street Scene Segmentation.
IEEE Trans. Multim., 2022

Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking.
IEEE Trans. Image Process., 2022

Fine-Grained Classification via Categorical Memory Networks.
IEEE Trans. Image Process., 2022

Boosting Semi-Supervised Face Recognition With Noise Robustness.
IEEE Trans. Circuits Syst. Video Technol., 2022

On the Correlation Among Edge, Pose and Parsing.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Category-Level Adversarial Adaptation for Semantic Segmentation Using Purified Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Generalizable Re-Identification from Videos with Cycle Association.
CoRR, 2022

Learning to Structure an Image with Few Colors and Beyond.
CoRR, 2022

Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation.
CoRR, 2022

Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond.
CoRR, 2022

Depth Completion Auto-Encoder.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

On the Strong Correlation Between Model Invariance and Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Paint2Pix: Interactive Painting Based Progressive Image Synthesis and Editing.
Proceedings of the Computer Vision - ECCV 2022, 2022

Intelli-Paint: Towards Developing More Human-Intelligible Painting Agents.
Proceedings of the Computer Vision - ECCV 2022, 2022

How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?
Proceedings of the Computer Vision - ECCV 2022, 2022


2021
Improving Driver Gaze Prediction With Reinforced Attention.
IEEE Trans. Multim., 2021

Rethinking Triplet Loss for Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., 2021

Learning to Adapt Invariance in Memory for Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learning Part-based Convolutional Features for Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Intelli-Paint: Towards Developing Human-like Painting Agents.
CoRR, 2021

Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset).
CoRR, 2021

Label-Free Model Evaluation with Semi-Structured Dataset Representations.
CoRR, 2021

Memory-Free Generative Replay For Class-Incremental Learning.
CoRR, 2021

Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking.
CoRR, 2021

Invertible Attention.
CoRR, 2021

The 5th AI City Challenge.
CoRR, 2021

Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning.
CoRR, 2021

Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation).
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Proceedings of the 38th International Conference on Machine Learning, 2021

VTNet: Visual Transformer Network for Object Goal Navigation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Ranking Models in Unlabeled New Environments.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Does Keypoint Estimation Benefit Object Detection? An Empirical Study of One-stage and Two-stage Detectors.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Positive Sample Propagation Along the Audio-Visual Event Line.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

The 5th AI City Challenge.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Visualizing Adapted Knowledge in Domain Transfer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Are Labels Always Necessary for Classifier Accuracy Evaluation?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Dual-path Convolutional Image-Text Embeddings with Instance Loss.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Pose-Based View Synthesis for Vehicles: A Perspective Aware Method.
IEEE Trans. Image Process., 2020

Introduction to the Special Section on Contextual Object Analysis in Complex Scenes.
IEEE Trans. Circuits Syst. Video Technol., 2020

Thorax disease classification with attention guided convolutional neural network.
Pattern Recognit. Lett., 2020

Enhanced Scene Specificity with Sparse Dynamic Value Estimation.
CoRR, 2020

Source Free Domain Adaptation with Image Translation.
CoRR, 2020

Are Labels Necessary for Classifier Accuracy Evaluation?
CoRR, 2020

Learning to simulate complex scenes.
CoRR, 2020

Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning.
CoRR, 2020

Simulating Content Consistent Vehicle Datasets with Attribute Descent.
Proceedings of the Computer Vision - ECCV 2020, 2020

CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions.
Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Real-Time Multi-Object Tracking.
Proceedings of the Computer Vision - ECCV 2020, 2020

Multiview Detection with Feature Perspective Transformation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Object Relation Graph and Tentative Policy for Visual Navigation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Correlating Edge, Pose With Parsing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Circle Loss: A Unified Perspective of Pair Similarity Optimization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

The 4th AI City Challenge.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

GradNet Image Denoising.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Structure an Image With Few Colors.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Random Erasing Data Augmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Modality-Invariant Image-Text Embedding for Image-Sentence Matching.
ACM Trans. Multim. Comput. Commun. Appl., 2019

CamStyle: A Novel Data Augmentation Method for Person Re-Identification.
IEEE Trans. Image Process., 2019

Pose-Invariant Embedding for Deep Person Re-Identification.
IEEE Trans. Image Process., 2019

Dynamic Graph Co-Matching for Unsupervised Video-Based Person Re-Identification.
IEEE Trans. Image Process., 2019

Pedestrian Alignment Network for Large-scale Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2019

Improving person re-identification by attribute and identity learning.
Pattern Recognit., 2019

Few-Example Object Detection with Model Communication.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking.
CoRR, 2019

Towards Real-Time Multi-Object Tracking.
CoRR, 2019

Spotting Visual Keywords from Temporal Sliding Windows.
Proceedings of the International Conference on Multimodal Interaction, 2019

A Neural Micro-Expression Recognizer.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Joint Discriminative and Generative Learning for Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Linkage Based Face Clustering via Graph Convolution Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Dissecting Person Re-Identification From the Viewpoint of Viewpoint.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Vehicle Re-Identification with Location and Time Stamps.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Locality Aware City-Scale Multi-Camera Vehicle Tracking System.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Discriminatively Learned CNN Embedding for Person Reidentification.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Unsupervised Person Re-identification: Clustering and Fine-tuning.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Twitter100k: A Real-World Dataset for Weakly Supervised Cross-Media Retrieval.
IEEE Trans. Multim., 2018

Recognition From Web Data: A Progressive Filtering Approach.
IEEE Trans. Image Process., 2018

SIFT Meets CNN: A Decade Survey of Instance Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Learning from Web Data: the Benefit of Unsupervised Object Localization.
CoRR, 2018

Domain Alignment with Triplets.
CoRR, 2018

Similarity-preserving Image-image Domain Adaptation for Person Re-identification.
CoRR, 2018

Query Adaptive Late Fusion for Image Retrieval.
CoRR, 2018

Open Set Adversarial Examples.
CoRR, 2018

Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification.
CoRR, 2018

On the Large-Scale Transferability of Convolutional Neural Networks.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Attention-based Pyramid Aggregation Network for Visual Place Recognition.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Generalizing a Person Retrieval Model Hetero- and Homogeneously.
Proceedings of the Computer Vision - ECCV 2018, 2018

Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline).
Proceedings of the Computer Vision - ECCV 2018, 2018

Macro-Micro Adversarial Network for Human Parsing.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization.
Proceedings of the Computer Vision - ECCV 2018, 2018

Camera Style Adaptation for Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Part-Based Deep Hashing for Large-Scale Person Re-Identification.
IEEE Trans. Image Process., 2017

Robust ImageGraph: Rank-Level Feature Fusion for Image Search.
IEEE Trans. Image Process., 2017

Beyond Part Models: Person Retrieval with Refined Part Pooling.
CoRR, 2017

Dual-Path Convolutional Image-Text Embedding.
CoRR, 2017

A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval.
CoRR, 2017

Improving Person Re-identification by Attribute and Identity Learning.
CoRR, 2017

PatchShuffle Regularization.
CoRR, 2017

Unsupervised Person Re-identification: Clustering and Fine-tuning.
CoRR, 2017

Few-shot Object Detection.
CoRR, 2017

Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Dynamic Label Graph Matching for Unsupervised Video Re-identification.
Proceedings of the IEEE International Conference on Computer Vision, 2017

SVDNet for Pedestrian Retrieval.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Re-ranking Person Re-identification with k-Reciprocal Encoding.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Person Re-identification in the Wild.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Accurate Image Search with Multi-Scale Contextual Evidences.
Int. J. Comput. Vis., 2016

A Discriminatively Learned CNN Embedding for Person Re-identification.
CoRR, 2016

Good Practice in CNN Feature Transfer.
CoRR, 2016

Person Re-identification in the Wild.
CoRR, 2016

Person Re-identification: Past, Present and Future.
CoRR, 2016

Coarse2Fine: Two-Layer Fusion For Image Retrieval.
CoRR, 2016

Exploiting Hierarchical Activations of Neural Network for Image Retrieval.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

MARS: A Video Benchmark for Large-Scale Person Re-Identification.
Proceedings of the Computer Vision - ECCV 2016, 2016

InterActive: Inter-Layer Activeness Propagation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Fast Image Retrieval: Query Pruning and Early Termination.
IEEE Trans. Multim., 2015

Tensor index for large scale image retrieval.
Multim. Syst., 2015

Person Re-identification Meets Image Search.
CoRR, 2015

Scalable Person Re-identification: A Benchmark.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Query-adaptive late fusion for image search and person re-identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Coloring image search with coupled multi-index.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

2014
\(\mathcal {L}_p\) -Norm IDF for Scalable Image Retrieval.
IEEE Trans. Image Process., 2014

Coupled Binary Embedding for Large-Scale Image Retrieval.
IEEE Trans. Image Process., 2014

Seeing the Big Picture: Deep Embedding with Contextual Evidences.
CoRR, 2014

Visual reranking with improved image graph.
Proceedings of the IEEE International Conference on Acoustics, 2014

Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Packing and Padding: Coupled Multi-index for Accurate Image Retrieval.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Visual Phraselet: Refining Spatial Constraints for Large Scale Image Search.
IEEE Signal Process. Lett., 2013

Lp-Norm IDF for Large Scale Image Search.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011
DSW feature based Hidden Marcov Model: An application on object identification.
Proceedings of the Third International Conference of Soft Computing and Pattern Recognition, 2011


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