Qiang Qiu

According to our database, Qiang Qiu authored at least 95 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Real-Time 3-D Thermal Simulation of Advanced Packages via Generative Adversarial Networks.

Seunghyun Hwang, Michael Joseph Smith, Vinicius C. Do Nascimento, Qiang Qiu, Cheng-Kok Koh, Ganesh Subbarayan, Dan Jiao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2025

VILP: Imitation Learning With Latent Video Planning.

Zhengtong Xu, Qiang Qiu, Yu She

IEEE Robotics Autom. Lett., April, 2025

Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition.

Wei Chen, Qiang Qiu

CoRR, March, 2025

Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning.

Gaurav Patel, Qiang Qiu

CoRR, March, 2025

Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization.

Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning.

Lun Huang, Qiang Qiu, Guillermo Sapiro

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Large Convolutional Model Tuning via Filter Subspace.

Wei Chen, Zichen Miao, Qiang Qiu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Consistency Posterior Sampling for Diverse Image Synthesis.

Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models.

Zichen Miao, Wei Chen, Qiang Qiu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps.

Jeeyung Kim, Erfan Esmaeili, Qiang Qiu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Conditional Text-to-Image Generation with Reference Guidance.

Taewook Kim, Ze Wang, Zhengyuan Yang, Jiang Wang, Lijuan Wang, Zicheng Liu, Qiang Qiu

CoRR, 2024

Learning to Customize Text-to-Image Diffusion In Diverse Context.

Taewook Kim, Wei Chen, Qiang Qiu

CoRR, 2024

Posterior sampling via Langevin dynamics based on generative priors.

Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng

CoRR, 2024

Model-Agnostic Human Preference Inversion in Diffusion Models.

Jeeyung Kim, Ze Wang, Qiang Qiu

CoRR, 2024

Constructing Concept-Based Models to Mitigate Spurious Correlations with Minimal Human Effort.

Jeeyung Kim, Ze Wang, Qiang Qiu

Proceedings of the Computer Vision - ECCV 2024, 2024

Generative Quanta Color Imaging.

Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning.

Zichen Miao, Jiang Wang, Ze Wang, Zhengyuan Yang, Lijuan Wang, Qiang Qiu, Zicheng Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PQ-VAE: Learning Hierarchical Discrete Representations with Progressive Quantization.

Lun Huang, Qiang Qiu, Guillermo Sapiro

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding.

Ze Wang, Yue Lu, Qiang Qiu

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.

Gaurav Patel, Jan P. Allebach, Qiang Qiu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Inner Product-based Neural Network Similarity.

Wei Chen, Zichen Miao, Qiang Qiu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Energy-Inspired Self-Supervised Pretraining for Vision Models.

Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu

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.

Atul Sharma, Joshua C. Zhao, Wei Chen, Qiang Qiu, Saurabh Bagchi, Somali Chaterji

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

Binary Latent Diffusion.

Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu

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.

Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FLAIR: Defense against Model Poisoning Attack in Federated Learning.

Atul Sharma, Wei Chen, Joshua C. Zhao, Qiang Qiu, Saurabh Bagchi, Somali Chaterji

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022

Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters.

Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng

J. Mach. Learn. Res., 2022

Continual Learning with Filter Atom Swapping.

Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Rethinking Shape From Shading for Spoofing Detection.

J. Matías Di Martino, Qiang Qiu, Guillermo Sapiro

IEEE Trans. Image Process., 2021

Computer Vision Analysis for Quantification of Autism Risk Behaviors.

Jordan Hashemi, Geraldine Dawson, Kimberly L. H. Carpenter, Kathleen Campbell, Qiang Qiu, Steven Espinosa, Samuel Marsan, Jeffrey P. Baker, Helen Link Egger, Guillermo Sapiro

IEEE Trans. Affect. Comput., 2021

Deep ladder reconstruction-classification network for unsupervised domain adaptation.

Wanxia Deng, Zhuo Su, Qiang Qiu, Lingjun Zhao, Gangyao Kuang, Matti Pietikäinen, Huaxin Xiao, Li Liu

Pattern Recognit. Lett., 2021

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

Atul Sharma, Wei Chen, Joshua C. Zhao, Qiang Qiu, Somali Chaterji, Saurabh Bagchi

CoRR, 2021

Learning to Learn Dense Gaussian Processes for Few-Shot Learning.

Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu

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.

Ze Wang, Seunghyun Hwang, Zichen Miao, Qiang Qiu

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.

Zichen Miao, Ze Wang, Xiuyuan Cheng, Qiang Qiu

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.

Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models.

José Lezama, Wei Chen, Qiang Qiu

Proceedings of the 38th International Conference on Machine Learning, 2021

Adaptive Convolutions with Per-pixel Dynamic Filter Atom.

Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Using Text To Teach Image Retrieval.

Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro

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.

Kausic Gunasekar, Qiang Qiu, Yezhou Yang

IEEE Robotics Autom. Lett., 2020

Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method.

J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro

IEEE Trans. Pattern Anal. Mach. Intell., 2020

ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution.

Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu

CoRR, 2020

Model-Agnostic Metric for Zero-Shot Learning.

Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Variational Image Deraining.

Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning to Learn Variational Semantic Memory.

Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao

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.

Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu

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.

Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Learn with Variational Information Bottleneck for Domain Generalization.

Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning.

Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies

SIAM J. Math. Data Sci., 2019

Domain-invariant Learning using Adaptive Filter Decomposition.

Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu

CoRR, 2019

Scale-Equivariant Neural Networks with Decomposed Convolutional Filters.

Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng

CoRR, 2019

Adversarially Learned Representations for Information Obfuscation and Inference.

Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Galen Reeves, Guillermo Sapiro

Proceedings of the 36th International Conference on Machine Learning, 2019

RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks.

Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro

Proceedings of the 7th International Conference on Learning Representations, 2019

Range Adaptation for 3D Object Detection in LiDAR.

Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

SalGaze: Personalizing Gaze Estimation using Visual Saliency.

Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study.

Helen Link Egger, Geraldine Dawson, Jordan Hashemi, Kimberly L. H. Carpenter, Steven Espinosa, Kathleen Campbell, Samuel Brotkin, Jana Schaich Borg, Qiang Qiu, Mariano Tepper, Jeffrey P. Baker, Richard A. Bloomfield Jr., Guillermo Sapiro

npj Digit. Medicine, 2018

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

Ze Wang, Weiqiang Ren, Qiang Qiu

CoRR, 2018

Learning to Collaborate for User-Controlled Privacy.

Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro

CoRR, 2018

Liveness Detection Using Implicit 3D Features.

J. Matías Di Martino, Qiang Qiu, Trishul Nagenalli, Guillermo Sapiro

CoRR, 2018

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

Albert Gong, Qiang Qiu, Guillermo Sapiro

CoRR, 2018

DCFNet: Deep Neural Network with Decomposed Convolutional Filters.

Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro

Proceedings of the 35th International Conference on Machine Learning, 2018

Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform.

Hyun Keun Ahn, Qiang Qiu, Edward Bosch, Andrew Thompson, Francisco E. Robles, Guillermo Sapiro, Warren S. Warren, A. Robert Calderbank

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks.

Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro

Proceedings of the Computer Vision - ECCV 2018, 2018

LDMNet: Low Dimensional Manifold Regularized Neural Networks.

Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Weakly Supervised Instance Segmentation Using Class Peak Response.

Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao

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.

José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

In Defense of Single-column Networks for Crowd Counting.

Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao

Proceedings of the British Machine Vision Conference 2018, 2018

2017

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

Jure Sokolic, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro

CoRR, 2017

Learning to Identify While Failing to Discriminate.

Jure Sokolic, Miguel R. D. Rodrigues, Qiang Qiu, Guillermo Sapiro

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application.

Qiang Qiu, Jordan Hashemi, Guillermo Sapiro

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Soft Proposal Networks for Weakly Supervised Object Localization.

Yi Zhu, Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao

Proceedings of the IEEE International Conference on Computer Vision, 2017

Oriented Response Networks.

Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model.

Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang

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.

José Lezama, Qiang Qiu, Guillermo Sapiro

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Data Representation Using the Weyl Transform.

Qiang Qiu, Andrew Thompson, A. Robert Calderbank, Guillermo Sapiro

IEEE Trans. Signal Process., 2016

The Role of Principal Angles in Subspace Classification.

Jiaji Huang, Qiang Qiu, A. Robert Calderbank

IEEE Trans. Signal Process., 2016

A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study.

Jordan Hashemi, Kathleen Campbell, Kimberly L. H. Carpenter, Adrianne Harris, Qiang Qiu, Mariano Tepper, Steven Espinosa, Jana Schaich Borg, Samuel Marsan, A. Robert Calderbank, Jeffrey P. Baker, Helen Link Egger, Geraldine Dawson, Guillermo Sapiro

EAI Endorsed Trans. Scalable Inf. Syst., 2016

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

Qixiang Ye, Tianliang Zhang, Qiang Qiu, Baochang Zhang, Jie Chen, Guillermo Sapiro

CoRR, 2016

Low-cost Gaze and Pulse Analysis using RealSense.

Qiang Qiu, Zhuoqing Chang, Mark Draelos, Jie Chen, Alexander M. Bronstein, Guillermo Sapiro

EAI Endorsed Trans. Ambient Syst., 2016

RealSense = real heart rate: Illumination invariant heart rate estimation from videos.

Jie Chen, Zhuoqing Chang, Qiang Qiu, Xiaobai Li, Guillermo Sapiro, Alexander M. Bronstein, Matti Pietikäinen

Proceedings of the Sixth International Conference on Image Processing Theory, 2016

Synthesis-Based Low-Cost Gaze Analysis.

Zhuoqing Chang, Qiang Qiu, Guillermo Sapiro

Proceedings of the HCI International 2016 - Posters' Extended Abstracts, 2016

2015

Learning transformations for clustering and classification.

Qiang Qiu, Guillermo Sapiro

J. Mach. Learn. Res., 2015

Representation using the Weyl Transform.

Qiang Qiu, Andrew Thompson, A. Robert Calderbank, Guillermo Sapiro

Proceedings of the 3rd International Conference on Learning Representations, 2015

Random Forests Can Hash.

Qiang Qiu, Guillermo Sapiro, Alexander M. Bronstein

Proceedings of the 3rd International Conference on Learning Representations, 2015

Discriminative Robust Transformation Learning.

Jiaji Huang, Qiang Qiu, Guillermo Sapiro, A. Robert Calderbank

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Cross-modality pose-invariant facial expression.

Jordan Hashemi, Qiang Qiu, Guillermo Sapiro

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Intel realsense = Real low cost gaze.

Mark Draelos, Qiang Qiu, Alexander M. Bronstein, Guillermo Sapiro

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Geometry-Aware Deep Transform.

Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Classification of whale vocalizations using the Weyl transform.

Yin Xian, Andrew Thompson, Qiang Qiu, Loren W. Nolte, Douglas Nowacek, Jianfeng Lu, A. Robert Calderbank

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Alignment with intra-class structure can improve classification.

Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Miguel R. D. Rodrigues, Guillermo Sapiro

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Learning Transformations for Classification Forests.

Qiang Qiu, Guillermo Sapiro

Proceedings of the 2nd International Conference on Learning Representations, 2014

Learning compressed image classification features.

Qiang Qiu, Guillermo Sapiro

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Learning Transformations.

Qiang Qiu, Guillermo Sapiro

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Domain-invariant Face Recognition using Learned Low-rank Transformation.

Qiang Qiu, Guillermo Sapiro, Ching-Hui Chen

CoRR, 2013

Learning Robust Subspace Clustering.

Qiang Qiu, Guillermo Sapiro

CoRR, 2013