Qiang Qiu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
ShaderNN: A lightweight and efficient inference engine for real-time applications on mobile GPUs.
Neurocomputing, 2025

2024
BY-SLAM: Dynamic Visual SLAM System Based on BEBLID and Semantic Information Extraction.
Sensors, July, 2024

Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization.
CoRR, 2024

Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort.
CoRR, 2024

Model-Agnostic Human Preference Inversion in Diffusion Models.
CoRR, 2024

Large Convolutional Model Tuning via Filter Subspace.
CoRR, 2024

Mob-FGSR: Frame Generation and Super Resolution for Mobile Real-Time Rendering.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Training Bayesian Neural Networks with Sparse Subspace Variational Inference.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting.
Proceedings of the IEEE International Conference on Acoustics, 2024

Constructing Concept-Based Models to Mitigate Spurious Correlations with Minimal Human Effort.
Proceedings of the Computer Vision - ECCV 2024, 2024

Generative Quanta Color Imaging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PQ-VAE: Learning Hierarchical Discrete Representations with Progressive Quantization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Inner Product-based Neural Network Similarity.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Structural Re-weighting Improves Graph Domain Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

Energy-Inspired Self-Supervised Pretraining for Vision Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

How to Learn Collaboratively - Federated Learning to Peer-to-Peer Learning and What's at Stake.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

Binary Latent Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FLAIR: Defense against Model Poisoning Attack in Federated Learning.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

Learning Adversarially Robust Sparse Networks via Weight Reparameterization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Genomes of Two Flying Squid Species Provide Novel Insights into Adaptations of Cephalopods to Pelagic Life.
Genom. Proteom. Bioinform., December, 2022

Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks.
IEEE Trans. Knowl. Data Eng., 2022

Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters.
J. Mach. Learn. Res., 2022

Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting.
ISPRS Int. J. Geo Inf., 2022

Continual Learning with Filter Atom Swapping.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Rethinking Shape From Shading for Spoofing Detection.
IEEE Trans. Image Process., 2021

Geographic Optimal Transport for Heterogeneous Data: Fusing Remote Sensing and Social Media.
IEEE Trans. Geosci. Remote. Sens., 2021

Computer Vision Analysis for Quantification of Autism Risk Behaviors.
IEEE Trans. Affect. Comput., 2021

Deep ladder reconstruction-classification network for unsupervised domain adaptation.
Pattern Recognit. Lett., 2021

A physicochemical model of odor sampling.
PLoS Comput. Biol., 2021

TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks.
CoRR, 2021

Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch.
IEEE Access, 2021

Learning to Learn Dense Gaussian Processes for Few-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Image Generation using Continuous Filter Atoms.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Exploiting a Zoo of Checkpoints for Unseen Tasks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cirrus: A Long-range Bi-pattern LiDAR Dataset.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

Graph Convolution with Low-rank Learnable Local Filters.
Proceedings of the 9th International Conference on Learning Representations, 2021

Adaptive Convolutions with Per-pixel Dynamic Filter Atom.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Using Text To Teach Image Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Low to High Dimensional Modality Hallucination Using Aggregated Fields of View.
IEEE Robotics Autom. Lett., 2020

Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Motion planning in semistructured environments with teaching roadmaps.
Intell. Serv. Robotics, 2020

ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution.
CoRR, 2020

Graph Neural Networks with Low-rank Learnable Local Filters.
CoRR, 2020

Model-Agnostic Metric for Zero-Shot Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Variational Image Deraining.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning to Learn Variational Semantic Memory.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Dictionary Approach to Domain-Invariant Learning in Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Stochastic Conditional Generative Networks with Basis Decomposition.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Learn with Variational Information Bottleneck for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning.
SIAM J. Math. Data Sci., 2019

Domain-invariant Learning using Adaptive Filter Decomposition.
CoRR, 2019

Scale-Equivariant Neural Networks with Decomposed Convolutional Filters.
CoRR, 2019

Single-shot 3D shape reconstruction using deep convolutional neural networks.
CoRR, 2019

Land subsidence in Beijing and its relationship with geological faults revealed by Sentinel-1 InSAR observations.
Int. J. Appl. Earth Obs. Geoinformation, 2019

A Geohash Based Place2vec Model.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Adversarially Learned Representations for Information Obfuscation and Inference.
Proceedings of the 36th International Conference on Machine Learning, 2019

RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Range Adaptation for 3D Object Detection in LiDAR.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

SalGaze: Personalizing Gaze Estimation using Visual Saliency.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Hubless Nearest Neighbor Search for Bilingual Lexicon Induction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study.
npj Digit. Medicine, 2018

Task constrained motion planning for 7-degree of freedom manipulators with parameterized submanifolds.
Ind. Robot, 2018

LaneNet: Real-Time Lane Detection Networks for Autonomous Driving.
CoRR, 2018

Learning to Collaborate for User-Controlled Privacy.
CoRR, 2018

Liveness Detection Using Implicit 3D Features.
CoRR, 2018

Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification.
CoRR, 2018

Global Monitoring of Fault Zones and Volcanoes with Sentinel-1.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

DCFNet: Deep Neural Network with Decomposed Convolutional Filters.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learn to Classify and Count: A Unified Framework for Object Classification and Counting.
Proceedings of the 2018 International Conference on Image and Graphics Processing, 2018

A Nonuniform Weighted Loss Function for Imbalanced Image Classification.
Proceedings of the 2018 International Conference on Image and Graphics Processing, 2018

Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

LDMNet: Low Dimensional Manifold Regularized Neural Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Weakly Supervised Instance Segmentation Using Class Peak Response.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

In Defense of Single-column Networks for Crowd Counting.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems.
CoRR, 2017

A vector map overlay algorithm based on distributed queue.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

A memory computing based method for vector spatial analysis.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Learning to Identify While Failing to Discriminate.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Soft Proposal Networks for Weakly Supervised Object Localization.
Proceedings of the IEEE International Conference on Computer Vision, 2017

FTGWS: Forming Optimal Tutor Group for Weak Students Discovered in Educational Settings.
Proceedings of the Database and Expert Systems Applications, 2017

Oriented Response Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Data Representation Using the Weyl Transform.
IEEE Trans. Signal Process., 2016

The Role of Principal Angles in Subspace Classification.
IEEE Trans. Signal Process., 2016

A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study.
EAI Endorsed Trans. Scalable Inf. Syst., 2016

Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model.
CoRR, 2016

Ubiquitous Robotic Technology for Smart Manufacturing System.
Comput. Intell. Neurosci., 2016

Low-cost Gaze and Pulse Analysis using RealSense.
EAI Endorsed Trans. Ambient Syst., 2016

RealSense = real heart rate: Illumination invariant heart rate estimation from videos.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

Online Adjusting Task Models for Ubiquitous Robotic Systems.
Proceedings of the Intelligent Autonomous Systems 14, 2016

Synthesis-Based Low-Cost Gaze Analysis.
Proceedings of the HCI International 2016 - Posters' Extended Abstracts, 2016

2015
Compositional Dictionaries for Domain Adaptive Face Recognition.
IEEE Trans. Image Process., 2015

Learning transformations for clustering and classification.
J. Mach. Learn. Res., 2015

Representation using the Weyl Transform.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Random Forests Can Hash.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Discriminative Robust Transformation Learning.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A novel methodology for parallel spatial overlay over vector data - A case study with shape file.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Research on vector spatial data access based on Main memory database.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Cross-modality pose-invariant facial expression.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Intel realsense = Real low cost gaze.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Geometry-Aware Deep Transform.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Classification of whale vocalizations using the Weyl transform.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Alignment with intra-class structure can improve classification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A spatial data partitioning and merging method for parallel vector spatial analysis.
Proceedings of the 23rd International Conference on Geoinformatics, 2015

2014
Dictionary-Based Domain Adaptation Methods for the Re-identification of Faces.
Proceedings of the Person Re-Identification, 2014

Structure-Preserving Sparse Decomposition for Facial Expression Analysis.
IEEE Trans. Image Process., 2014

Information-Theoretic Dictionary Learning for Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Learning Transformations for Classification Forests.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Learning compressed image classification features.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Learning Transformations.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Domain-invariant Face Recognition using Learned Low-rank Transformation.
CoRR, 2013

Learning Robust Subspace Clustering.
CoRR, 2013

Sparse Dictionary-based Attributes for Action Recognition and Summarization.
CoRR, 2013

Dictionaries for image-based recognition.
Proceedings of the 2013 Information Theory and Applications Workshop, 2013

Fast parallel interpolation algorithm using CUDA.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

A parallel strategy for plane sweep algorithm in multi-core system.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

A parallel algorithm for line segment intersection.
Proceedings of the 21st International Conference on Geoinformatics, 2013

An effective method for river generalization.
Proceedings of the 21st International Conference on Geoinformatics, 2013

Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Sparse Dictionary Learning and Domain Adaptation for Face and Action Recognition.
PhD thesis, 2012

A Unified Approach for Modeling and Recognition of Individual Actions and Group Activities
CoRR, 2012

Domain Adaptive Dictionary Learning.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Sparse dictionary-based representation and recognition of action attributes.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2009
Building a Text Classifier by a Keyword and Unlabeled Documents.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Building a Text Classifier by a Keyword and Wikipedia Knowledge.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble.
Proceedings of the Advances in Machine Learning, 2009

2007
Application of ultrasonic sensors in a smart environment.
Pervasive Mob. Comput., 2007

Multimodal information fusion for automated recognition of complex agitation behaviors of dementia patients.
Proceedings of the 10th International Conference on Information Fusion, 2007

2006
WDM optical network testbed and distributed storage application.
IEEE Commun. Mag., 2006

Fusion Considerations in Monitoring and Handling Agitation Behaviour for Persons with Dementia.
Proceedings of the 9th International Conference on Information Fusion, 2006

Data Collection and Feature Extraction for a Smart Ward Application.
Proceedings of 11th IEEE International Conference on Emerging Technologies and Factory Automation, 2006

Assessing the Completeness of Sensor Data.
Proceedings of the Database Systems for Advanced Applications, 2006

2002
MAC protocol enhancements for QoS guarantee and fairness over the IEEE 802.11 wireless LANs.
Proceedings of the 11th International Conference on Computer Communications and Networks, 2002

2000
A forward error recovery technique for real-time MPEG-2 video transport and its performance over wireless IEEE 802.11 LAN.
Proceedings of the Proceedings Ninth International Conference on Computer Communications and Networks, 2000


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