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ORCIDQiang Qiu 0001
Person information
- affiliation: Purdue University, Elmore Family School of Electrical and Computer Engineering, West Lafayette, IN, USA
- affiliation: Duke University, Durham, USA
Other persons with the same name
- Qiang Qiu (aka: Qiu Qiang) — disambiguation page
- Qiang Qiu 0002 — Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA (and 2 more)
- Qiang Qiu 0003 — Chinese Academy of Sciences (CAS), Institute of Computing Technology, China
- Qiang Qiu 0004
![[0000-0002-7709-6288]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7709-6288")
— Shanghai Jiao Tong University, Research Institute of Robotics, China
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2020 – today
- 2025
[j15]Zhengtong Xu, Qiang Qiu, Yu She:
VILP: Imitation Learning With Latent Video Planning. IEEE Robotics Autom. Lett. 10(4): 3350-3357 (2025)- [j14]Seunghyun Hwang, Michael Joseph Smith, Vinicius C. Do Nascimento, Qiang Qiu, Cheng-Kok Koh, Ganesh Subbarayan, Dan Jiao:
Real-Time 3-D Thermal Simulation of Advanced Packages via Generative Adversarial Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(7): 2439-2450 (2025) - [c62]Jeeyung Kim, Erfan Esmaeili, Qiang Qiu:
Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps. CVPR 2025: 8031-8040 - [c61]Zichen Miao, Wei Chen, Qiang Qiu:
Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models. CVPR 2025: 20146-20157 - [c60]Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng:
Consistency Posterior Sampling for Diverse Image Synthesis. CVPR 2025: 28327-28336 - [c59]Wei Chen, Zichen Miao, Qiang Qiu:
Large Convolutional Model Tuning via Filter Subspace. ICLR 2025 - [c58]Lun Huang, Qiang Qiu, Guillermo Sapiro:
SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning. ICLR 2025 - [c57]Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu:
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. ICLR 2025 - [i51]Gaurav Patel, Qiang Qiu:
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning. CoRR abs/2503.06339 (2025) - [i50]Wei Chen, Qiang Qiu:
Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition. CoRR abs/2503.08652 (2025) - [i49]Zichen Miao, Wei Chen, Qiang Qiu:
Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models. CoRR abs/2503.18337 (2025) - 2024
- [c56]Lun Huang, Qiang Qiu, Guillermo Sapiro:
PQ-VAE: Learning Hierarchical Discrete Representations with Progressive Quantization. CVPR Workshops 2024: 7550-7558 - [c55]Zichen Miao, Jiang Wang, Ze Wang, Zhengyuan Yang, Lijuan Wang, Qiang Qiu, Zicheng Liu:
Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning. CVPR 2024: 10844-10853 - [c54]Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu:
Generative Quanta Color Imaging. CVPR 2024: 25138-25148 - [c53]Jeeyung Kim, Ze Wang, Qiang Qiu:
Constructing Concept-Based Models to Mitigate Spurious Correlations with Minimal Human Effort. ECCV (80) 2024: 137-153 - [i48]Wei Chen, Zichen Miao, Qiang Qiu:
Large Convolutional Model Tuning via Filter Subspace. CoRR abs/2403.00269 (2024) - [i47]Vishal Purohit, Junjie Luo, Yiheng Chi, Qi Guo, Stanley H. Chan, Qiang Qiu:
Generative Quanta Color Imaging. CoRR abs/2403.19066 (2024) - [i46]Jeeyung Kim, Ze Wang, Qiang Qiu:
Model-Agnostic Human Preference Inversion in Diffusion Models. CoRR abs/2404.00879 (2024) - [i45]Jeeyung Kim, Ze Wang, Qiang Qiu:
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort. CoRR abs/2407.08947 (2024) - [i44]Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng:
Posterior sampling via Langevin dynamics based on generative priors. CoRR abs/2410.02078 (2024) - [i43]Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu:
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. CoRR abs/2410.03190 (2024) - [i42]Taewook Kim, Wei Chen, Qiang Qiu:
Learning to Customize Text-to-Image Diffusion In Diverse Context. CoRR abs/2410.10058 (2024) - [i41]Jeeyung Kim, Erfan Esmaeili, Qiang Qiu:
Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps. CoRR abs/2411.15236 (2024) - [i40]Taewook Kim, Ze Wang, Zhengyuan Yang, Jiang Wang, Lijuan Wang, Zicheng Liu, Qiang Qiu:
Conditional Text-to-Image Generation with Reference Guidance. CoRR abs/2411.16713 (2024) - 2023
- [c52]Atul Sharma, Wei Chen, Joshua C. Zhao, Qiang Qiu, Saurabh Bagchi, Somali Chaterji:
FLAIR: Defense against Model Poisoning Attack in Federated Learning. AsiaCCS 2023: 553-566 - [c51]Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu:
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation. CVPR 2023: 7786-7794 - [c50]Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu:
Binary Latent Diffusion. CVPR 2023: 22576-22585 - [c49]Atul Sharma, Joshua C. Zhao, Wei Chen, Qiang Qiu, Saurabh Bagchi, Somali Chaterji:
How to Learn Collaboratively - Federated Learning to Peer-to-Peer Learning and What's at Stake. DSN-S 2023: 122-126 - [c48]Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu:
Energy-Inspired Self-Supervised Pretraining for Vision Models. ICLR 2023 - [c47]Wei Chen, Zichen Miao, Qiang Qiu:
Inner Product-based Neural Network Similarity. NeurIPS 2023 - [c46]Ze Wang, Yue Lu, Qiang Qiu:
Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding. WACV 2023: 5294-5303 - [c45]Gaurav Patel, Jan P. Allebach, Qiang Qiu:
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition. WACV 2023: 6169-6179 - [i39]Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu:
Energy-Inspired Self-Supervised Pretraining for Vision Models. CoRR abs/2302.01384 (2023) - [i38]Gaurav Patel, Konda Reddy Mopuri, Qiang Qiu:
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation. CoRR abs/2302.14290 (2023) - [i37]Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu:
Binary Latent Diffusion. CoRR abs/2304.04820 (2023) - 2022
- [j13]Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng:
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters. J. Mach. Learn. Res. 23: 68:1-68:45 (2022) - [c44]Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu:
Continual Learning with Filter Atom Swapping. ICLR 2022 - [i36]Gaurav Patel, Jan P. Allebach, Qiang Qiu:
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition. CoRR abs/2209.00641 (2022) - 2021
- [j12]Wanxia Deng, Zhuo Su, Qiang Qiu, Lingjun Zhao, Gangyao Kuang, Matti Pietikäinen, Huaxin Xiao, Li Liu:
Deep ladder reconstruction-classification network for unsupervised domain adaptation. Pattern Recognit. Lett. 152: 398-405 (2021) - [j11]Jordan Hashemi, Geraldine Dawson, Kimberly L. H. Carpenter, Kathleen Campbell, Qiang Qiu, Steven Espinosa, Samuel Marsan, Jeffrey P. Baker, Helen Link Egger, Guillermo Sapiro:
Computer Vision Analysis for Quantification of Autism Risk Behaviors. IEEE Trans. Affect. Comput. 12(1): 215-226 (2021) - [j10]J. Matías Di Martino, Qiang Qiu, Guillermo Sapiro:
Rethinking Shape From Shading for Spoofing Detection. IEEE Trans. Image Process. 30: 1086-1099 (2021) - [c43]Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro:
Using Text To Teach Image Retrieval. CVPR Workshops 2021: 1643-1652 - [c42]Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu:
Adaptive Convolutions with Per-pixel Dynamic Filter Atom. ICCV 2021: 12282-12291 - [c41]José Lezama, Wei Chen, Qiang Qiu:
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models. ICML 2021: 6275-6285 - [c40]Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu:
Cirrus: A Long-range Bi-pattern LiDAR Dataset. ICRA 2021: 5744-5750 - [c39]Zichen Miao, Ze Wang, Xiuyuan Cheng, Qiang Qiu:
Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks. NeurIPS 2021: 3376-3388 - [c38]Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu:
Learning to Learn Dense Gaussian Processes for Few-Shot Learning. NeurIPS 2021: 13230-13241 - [c37]Ze Wang, Seunghyun Hwang, Zichen Miao, Qiang Qiu:
Image Generation using Continuous Filter Atoms. NeurIPS 2021: 17826-17838 - [i35]Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu:
Adaptive Convolutions with Per-pixel Dynamic Filter Atom. CoRR abs/2108.07895 (2021) - [i34]Atul Sharma, Wei Chen, Joshua C. Zhao, Qiang Qiu, Somali Chaterji, Saurabh Bagchi:
TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks. CoRR abs/2110.10108 (2021) - 2020
- [j9]J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro:
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1582-1593 (2020) - [j8]Kausic Gunasekar, Qiang Qiu, Yezhou Yang:
Low to High Dimensional Modality Hallucination Using Aggregated Fields of View. IEEE Robotics Autom. Lett. 5(2): 1983-1990 (2020) - [c36]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. ECCV (10) 2020: 200-216 - [c35]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
Stochastic Conditional Generative Networks with Basis Decomposition. ICLR 2020 - [c34]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
A Dictionary Approach to Domain-Invariant Learning in Deep Networks. NeurIPS 2020 - [c33]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. NeurIPS 2020 - [c32]Jiayi Shen, Haochen Wang, Anran Zhang, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
Model-Agnostic Metric for Zero-Shot Learning. WACV 2020: 775-784 - [c31]Ying-Jun Du, Jun Xu, Qiang Qiu, Xiantong Zhen, Lei Zhang:
Variational Image Deraining. WACV 2020: 2395-2404 - [i33]J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro:
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. CoRR abs/2004.03385 (2020) - [i32]Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao:
Learning to Learn with Variational Information Bottleneck for Domain Generalization. CoRR abs/2007.07645 (2020) - [i31]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution. CoRR abs/2009.02386 (2020) - [i30]Xiantong Zhen, Ying-Jun Du, Huan Xiong, Qiang Qiu, Cees G. M. Snoek, Ling Shao:
Learning to Learn Variational Semantic Memory. CoRR abs/2010.10341 (2020) - [i29]Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro:
Using Text to Teach Image Retrieval. CoRR abs/2011.09928 (2020) - [i28]Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu:
Cirrus: A Long-range Bi-pattern LiDAR Dataset. CoRR abs/2012.02938 (2020)
2010 – 2019
- 2019
- [j7]Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies:
Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. SIAM J. Math. Data Sci. 1(3): 476-496 (2019) - [c30]Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro:
SalGaze: Personalizing Gaze Estimation using Visual Saliency. ICCV Workshops 2019: 1169-1178 - [c29]Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu:
Range Adaptation for 3D Object Detection in LiDAR. ICCV Workshops 2019: 2320-2328 - [c28]Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. ICLR (Poster) 2019 - [c27]Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Galen Reeves, Guillermo Sapiro:
Adversarially Learned Representations for Information Obfuscation and Inference. ICML 2019: 614-623 - [i27]Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng:
Scale-Equivariant Neural Networks with Decomposed Convolutional Filters. CoRR abs/1909.11193 (2019) - [i26]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
Domain-invariant Learning using Adaptive Filter Decomposition. CoRR abs/1909.11285 (2019) - [i25]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
Stochastic Conditional Generative Networks with Basis Decomposition. CoRR abs/1909.11286 (2019) - [i24]Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu:
Range Adaptation for 3D Object Detection in LiDAR. CoRR abs/1909.12249 (2019) - [i23]Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro:
SalGaze: Personalizing Gaze Estimation Using Visual Saliency. CoRR abs/1910.10603 (2019) - 2018
- [j6]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:
Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study. npj Digit. Medicine 1 (2018) - [c26]Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
In Defense of Single-column Networks for Crowd Counting. BMVC 2018: 78 - [c25]Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CVPR 2018: 2743-2751 - [c24]Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Weakly Supervised Instance Segmentation Using Class Peak Response. CVPR 2018: 3791-3800 - [c23]José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro:
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning. CVPR 2018: 8109-8118 - [c22]Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro:
ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks. ECCV (2) 2018: 442-459 - [c21]Hyun Keun Ahn, Qiang Qiu, Edward Bosch, Andrew Thompson, Francisco E. Robles, Guillermo Sapiro, Warren S. Warren, A. Robert Calderbank:
Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform. ICASSP 2018: 4209-4213 - [c20]Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro:
DCFNet: Deep Neural Network with Decomposed Convolutional Filters. ICML 2018: 4195-4204 - [i22]Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro:
DCFNet: Deep Neural Network with Decomposed Convolutional Filters. CoRR abs/1802.04145 (2018) - [i21]Albert Gong, Qiang Qiu, Guillermo Sapiro:
Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification. CoRR abs/1803.05872 (2018) - [i20]Yanzhao Zhou, Yi Zhu, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Weakly Supervised Instance Segmentation using Class Peak Response. CoRR abs/1804.00880 (2018) - [i19]J. Matías Di Martino, Qiang Qiu, Trishul Nagenalli, Guillermo Sapiro:
Liveness Detection Using Implicit 3D Features. CoRR abs/1804.06702 (2018) - [i18]Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. CoRR abs/1805.06846 (2018) - [i17]Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies:
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning. CoRR abs/1805.07291 (2018) - [i16]Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro:
Learning to Collaborate for User-Controlled Privacy. CoRR abs/1805.07410 (2018) - [i15]Ze Wang, Weiqiang Ren, Qiang Qiu:
LaneNet: Real-Time Lane Detection Networks for Autonomous Driving. CoRR abs/1807.01726 (2018) - [i14]Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao:
In Defense of Single-column Networks for Crowd Counting. CoRR abs/1808.06133 (2018) - 2017
- [c19]Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang:
Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model. CVPR 2017: 2057-2066 - [c18]Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Oriented Response Networks. CVPR 2017: 4961-4970 - [c17]José Lezama, Qiang Qiu, Guillermo Sapiro:
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding. CVPR 2017: 6807-6816 - [c16]Yi Zhu, Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Soft Proposal Networks for Weakly Supervised Object Localization. ICCV 2017: 1859-1868 - [c15]Jure Sokolic, Miguel R. D. Rodrigues, Qiang Qiu, Guillermo Sapiro:
Learning to Identify While Failing to Discriminate. ICCV Workshops 2017: 2537-2544 - [c14]Qiang Qiu, Jordan Hashemi, Guillermo Sapiro:
Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application. ICCV Workshops 2017: 2564-2572 - [i13]Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Oriented Response Networks. CoRR abs/1701.01833 (2017) - [i12]Jure Sokolic, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro:
Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems. CoRR abs/1705.08197 (2017) - [i11]Yi Zhu, Yanzhao Zhou, Qixiang Ye, Qiang Qiu, Jianbin Jiao:
Soft Proposal Networks for Weakly Supervised Object Localization. CoRR abs/1709.01829 (2017) - [i10]Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CoRR abs/1711.06246 (2017) - [i9]Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro:
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks. CoRR abs/1711.08364 (2017) - [i8]José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro:
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning. CoRR abs/1712.01727 (2017) - 2016
- [j5]Qiang Qiu, Zhuoqing Chang, Mark Draelos, Jie Chen, Alexander M. Bronstein, Guillermo Sapiro:
Low-cost Gaze and Pulse Analysis using RealSense. EAI Endorsed Trans. Ambient Syst. 3(12): e1 (2016) - [j4]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:
A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study. EAI Endorsed Trans. Scalable Inf. Syst. 3(10): e1 (2016) - [j3]Qiang Qiu, Andrew Thompson, A. Robert Calderbank, Guillermo Sapiro:
Data Representation Using the Weyl Transform. IEEE Trans. Signal Process. 64(7): 1844-1853 (2016) - [j2]Jiaji Huang, Qiang Qiu, A. Robert Calderbank:
The Role of Principal Angles in Subspace Classification. IEEE Trans. Signal Process. 64(8): 1933-1945 (2016) - [c13]Zhuoqing Chang, Qiang Qiu, Guillermo Sapiro:
Synthesis-Based Low-Cost Gaze Analysis. HCI (27) 2016: 95-100 - [c12]Jie Chen, Zhuoqing Chang, Qiang Qiu, Xiaobai Li, Guillermo Sapiro, Alexander M. Bronstein, Matti Pietikäinen:
RealSense = real heart rate: Illumination invariant heart rate estimation from videos. IPTA 2016: 1-6 - [i7]José Lezama, Qiang Qiu, Guillermo Sapiro:
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding. CoRR abs/1611.06638 (2016) - [i6]Qixiang Ye, Tianliang Zhang, Qiang Qiu, Baochang Zhang, Jie Chen, Guillermo Sapiro:
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model. CoRR abs/1611.07544 (2016) - 2015
- [j1]Qiang Qiu, Guillermo Sapiro:
Learning transformations for clustering and classification. J. Mach. Learn. Res. 16: 187-225 (2015) - [c11]Yin Xian, Andrew Thompson, Qiang Qiu, Loren W. Nolte, Douglas Nowacek, Jianfeng Lu, A. Robert Calderbank:
Classification of whale vocalizations using the Weyl transform. ICASSP 2015: 773-777 - [c10]Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Miguel R. D. Rodrigues, Guillermo Sapiro:
Alignment with intra-class structure can improve classification. ICASSP 2015: 1921-1925 - [c9]Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
Geometry-Aware Deep Transform. ICCV 2015: 4139-4147 - [c8]Mark Draelos, Qiang Qiu, Alexander M. Bronstein, Guillermo Sapiro:
Intel realsense = Real low cost gaze. ICIP 2015: 2520-2524 - [c7]Jordan Hashemi, Qiang Qiu, Guillermo Sapiro:
Cross-modality pose-invariant facial expression. ICIP 2015: 4007-4011 - [c6]Jiaji Huang, Qiang Qiu, Guillermo Sapiro, A. Robert Calderbank:
Discriminative Robust Transformation Learning. NIPS 2015: 1333-1341 - [c5]Qiang Qiu, Guillermo Sapiro, Alexander M. Bronstein:
Random Forests Can Hash. ICLR (Workshop) 2015 - [c4]Qiang Qiu, Andrew Thompson, A. Robert Calderbank, Guillermo Sapiro:
Representation using the Weyl Transform. ICLR (Workshop) 2015 - [i5]Jiaji Huang, Qiang Qiu, A. Robert Calderbank:
The Role of Principal Angles in Subspace Classification. CoRR abs/1507.04230 (2015) - [i4]Jiaji Huang, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
Geometry-aware Deep Transform. CoRR abs/1509.05360 (2015) - 2014
- [c3]Qiang Qiu, Guillermo Sapiro:
Learning Transformations. ICIP 2014: 4008-4012 - [c2]Qiang Qiu, Guillermo Sapiro:
Learning compressed image classification features. ICIP 2014: 5761-5765 - [c1]Qiang Qiu, Guillermo Sapiro:
Learning Transformations for Classification Forests. ICLR 2014 - 2013
- [i3]Qiang Qiu, Guillermo Sapiro:
Learning Robust Subspace Clustering. CoRR abs/1308.0273 (2013) - [i2]Qiang Qiu, Guillermo Sapiro, Ching-Hui Chen:
Domain-invariant Face Recognition using Learned Low-rank Transformation. CoRR abs/1308.0275 (2013) - [i1]Qiang Qiu, Guillermo Sapiro:
Learning Transformations for Clustering and Classification. CoRR abs/1309.2074 (2013)
Coauthor Index
[c58] [c56] [j13] [j11] [j10] [c43] [c40] [j9] [c35] [c34] [i33] [i31] [i29] [i28] [j7] [c30] [c29] [c28] [c27] [i27] [i26] [i25] [i24] [i23] [j6] [c25] [c23] [c22] [c21] [c20] [i22] [i21] [i19] [i18] [i17] [i16] [c19] [c17] [c15] [c14] [i12] [i10] [i9] [i8] [j5] [j4] [j3] [c13] [c12] [i7] [i6] [j1] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [i4] [c3] [c2] [c1] [i3] [i2] [i1]
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-12-28 00:24 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
