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2020 – today
- 2024
[j46]Mingyang Ling
, Kan Chang, Mengyuan Huang, Hengxin Li, Shuping Dang, Baoxin Li:
PRNet: Pyramid Restoration Network for RAW Image Super-Resolution. IEEE Trans. Computational Imaging 10: 479-495 (2024)- [c154]Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-Sun Seo, Yu Cao:
Transformer-Based Selective Super-resolution for Efficient Image Refinement. AAAI 2024: 7305-7313 - [c153]Riti Paul, Sahil Vora, Pak Lun Kevin Ding, Ameet Patel, Leland Hu, Baoxin Li, Yuxiang Zhou:
Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI. AIiH (2) 2024: 48-63 - [c152]Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-Sun Seo, Yu Cao:
Patch-based Selection and Refinement for Early Object Detection. WACV 2024: 718-727 - [c151]Yaoxin Zhuo, Baoxin Li:
FELGA: Unsupervised Fragment Embedding for Fine-Grained Cross-Modal Association. WACV 2024: 5623-5633 - [c150]Nupur Thakur, PrasanthSai Gouripeddi, Baoxin Li:
Graph(Graph): A Nested Graph-Based Framework for Early Accident Anticipation. WACV 2024: 7518-7526 - [c149]Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Gina Dumkrieger, Simona Nikolova, Baoxin Li:
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images. WACV 2024: 7558-7567 - [c148]Jay Shah, Md Mahfuzur Rahman Siddiquee, Yi Su, Teresa Wu, Baoxin Li:
Ordinal Classification with Distance Regularization for Robust Brain Age Prediction. WACV 2024: 7867-7876 - [i46]Sachin Chhabra, Hemanth Venkateswara, Baoxin Li:
Domain Adaptation Using Pseudo Labels. CoRR abs/2402.06809 (2024) - [i45]Jay Shah, Md Mahfuzur Rahman Siddiquee, Yi Su, Teresa Wu, Baoxin Li:
Ordinal Classification with Distance Regularization for Robust Brain Age Prediction. CoRR abs/2403.10522 (2024) - [i44]Yuzhen Ding, Jason M. Holmes, Hongying Feng, Baoxin Li, Lisa A. McGee, Jean-Claude M. Rwigema, Sujay A. Vora, Daniel J. Ma, Robert L. Foote, Samir H. Patel, Wei Liu:
Accurate Patient Alignment without Unnecessary Imaging Dose via Synthesizing Patient-specific 3D CT Images from 2D kV Images. CoRR abs/2405.19338 (2024) - [i43]Tianyi Zhang, Baoxin Li, Jae-sun Seo, Yu Cap:
Context-Aware Token Selection and Packing for Enhanced Vision Transformer. CoRR abs/2410.23608 (2024) - 2023
- [j45]Yahui Tang, Kan Chang, Mengyuan Huang, Baoxin Li:
BMISP: Bidirectional mapping of image signal processing pipeline. Signal Process. 212: 109135 (2023) - [c147]Tianyi Zhang, Kishore Kasichainula, Dong-Woo Jee, Injune Yeo, Yaoxin Zhuo, Baoxin Li, Jae-sun Seo, Yu Cao:
Improving the Efficiency of CMOS Image Sensors through In-Sensor Selective Attention. ISCAS 2023: 1-4 - [c146]Sachin Chhabra, Hemanth Venkateswara, Baoxin Li:
Generative Alignment of Posterior Probabilities for Source-free Domain Adaptation. WACV 2023: 4114-4123 - [i42]Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Gina Dumkrieger, Simona Nikolova, Baoxin Li:
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images. CoRR abs/2302.09200 (2023) - [i41]Yuzhen Ding, Hongying Feng, Yunze Yang, Jason Holmes, Zhengliang Liu, David Liu, William W. Wong, Nathan Y. Yu, Terence T. Sio, Steven E. Schild, Baoxin Li, Wei Liu:
Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung Cancer. CoRR abs/2304.11135 (2023) - [i40]Riti Paul, Sahil Vora, Baoxin Li:
Instance Adaptive Prototypical Contrastive Embedding for Generalized Zero Shot Learning. CoRR abs/2309.06987 (2023) - [i39]Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-Sun Seo, Yu Cao:
Patch-based Selection and Refinement for Early Object Detection. CoRR abs/2311.02274 (2023) - [i38]Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-sun Seo, Yu Cao:
Transformer-based Selective Super-Resolution for Efficient Image Refinement. CoRR abs/2312.05803 (2023) - 2022
- [j44]Zhigang Tu, Hongyan Li, Wei Xie, Yuanzhong Liu, Shifu Zhang, Baoxin Li, Junsong Yuan:
Optical flow for video super-resolution: a survey. Artif. Intell. Rev. 55(8): 6505-6546 (2022) - [j43]Yujie Chen, Zexi Hua, Yongchuan Tang, Baoxin Li:
Multi-Source Information Fusion Based on Negation of Reconstructed Basic Probability Assignment with Padded Gaussian Distribution and Belief Entropy. Entropy 24(8): 1164 (2022) - [j42]Kan Chang, Hengxin Li, Yufei Tan, Pak Lun Kevin Ding, Baoxin Li:
A Two-Stage Convolutional Neural Network for Joint Demosaicking and Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4238-4254 (2022) - [c145]Sachin Chhabra, Hemanth Venkateswara, Baoxin Li:
PatchSwap: A Regularization Technique for Vision Transformers. BMVC 2022: 996 - [c144]Wei He, Qiping Zhou, Xinyi Zhang, Yuan Zhao, Baoxin Li, Li Zhang:
Research on direction finding of UAV coherent signals based on uniform circular array. CIS 2022: 445-447 - [c143]Nupur Thakur, Baoxin Li:
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos. CVPR Workshops 2022: 130-137 - [c142]Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Baoxin Li:
HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease. SASHIMI@MICCAI 2022: 43-54 - [c141]Yaoxin Zhuo, Yikang Li, Jenhao Hsiao, Chiuman Ho, Baoxin Li:
CLIP4Hashing: Unsupervised Deep Hashing for Cross-Modal Video-Text Retrieval. ICMR 2022: 158-166 - [c140]Ujun Jeong, Zeyad Alghamdi, Kaize Ding, Lu Cheng, Baoxin Li, Huan Liu:
Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph. SBP-BRiMS 2022: 35-45 - [i37]Yuanzhong Liu, Zhigang Tu, Hongyan Li, Chi Chen, Baoxin Li, Junsong Yuan:
Slow-Fast Visual Tempo Learning for Video-based Action Recognition. CoRR abs/2202.12116 (2022) - [i36]Zhigang Tu, Hongyan Li, Wei Xie, Yuanzhong Liu, Shifu Zhang, Baoxin Li, Junsong Yuan:
Optical Flow for Video Super-Resolution: A Survey. CoRR abs/2203.10462 (2022) - [i35]Bohan Jiang, Paras Sheth, Baoxin Li, Huan Liu:
CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research. CoRR abs/2207.01505 (2022) - [i34]Nayoung Kim, Ahmadreza Mosallanezhad, Lu Cheng, Baoxin Li, Huan Li:
Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data. CoRR abs/2208.03907 (2022) - [i33]Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Baoxin Li:
HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease. CoRR abs/2209.01822 (2022) - [i32]Sachin Chhabra, Prabal Bijoy Dutta, Hemanth Venkateswara, Baoxin Li:
PatchRot: A Self-Supervised Technique for Training Vision Transformers. CoRR abs/2210.15722 (2022) - 2021
- [j41]Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li:
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. Proc. IEEE 109(10): 1706-1752 (2021) - [c139]Yuzhen Ding, Nupur Thakur, Baoxin Li:
Does a GAN leave distinct model-specific fingerprints? BMVC 2021: 22 - [c138]Jiuxu Chen, Jorge E. Caviedes, Baoxin Li:
Classification of Single-Axis Spinal Motion Using a Wearable System of Stretch Sensors for At-home Physical Therapy. EMBC 2021: 7404-7407 - [c137]Yuzhen Ding, Nupur Thakur, Baoxin Li:
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers. ICCVW 2021: 142-151 - [c136]Yaoxin Zhuo, Baoxin Li:
Fedns: Improving Federated Learning for Collaborative Image Classification on Mobile Clients. ICME 2021: 1-6 - [c135]Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li:
Deep Latent Graph Matching. ICML 2021: 12187-12197 - [c134]Sachin Chhabra, Hemanth Venkateswara, Baoxin Li:
Iterative Image Translation for Unsupervised Domain Adaptation. MULL @ ACM Multimedia 2021: 37-44 - [c133]Sachin Chhabra, Prabal Bijoy Dutta, Baoxin Li, Hemanth Venkateswara:
Glocal Alignment for Unsupervised Domain Adaptation. MULL @ ACM Multimedia 2021: 45-51 - [i31]Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara:
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation. CoRR abs/2101.02275 (2021) - [i30]Yaoxin Zhuo, Baoxin Li:
FedNS: Improving Federated Learning for collaborative image classification on mobile clients. CoRR abs/2101.07995 (2021) - [i29]Nupur Thakur, Baoxin Li:
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos. CoRR abs/2109.05695 (2021) - 2020
- [j40]Bulent Ayhan, Chiman Kwan, Bence Budavari, Jude Larkin, David Gribben, Baoxin Li:
Video Activity Recognition With Varying Rhythms. IEEE Access 8: 191997-192008 (2020) - [j39]Kan Chang, Minghong Li, Pak Lun Kevin Ding, Baoxin Li:
Accurate single image super-resolution using multi-path wide-activated residual network. Signal Process. 172: 107567 (2020) - [j38]Jorge E. Caviedes, Baoxin Li, Varun C. Jammula:
Wearable Sensor Array Design for Spine Posture Monitoring During Exercise Incorporating Biofeedback. IEEE Trans. Biomed. Eng. 67(10): 2828-2838 (2020) - [j37]Long Tian, Zhigang Tu, Dejun Zhang, Jun Liu, Baoxin Li, Junsong Yuan:
Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filtering. IEEE Trans. Image Process. 29: 8429-8442 (2020) - [c132]Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara:
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation. ACSSC 2020: 289-293 - [c131]Tianshu Yu, Junchi Yan, Baoxin Li:
Determinant Regularization for Gradient-Efficient Graph Matching. CVPR 2020: 7121-7130 - [c130]Tianshu Yu, Yikang Li, Baoxin Li:
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos. ECCV (10) 2020: 127-144 - [c129]Tianshu Yu, Yikang Li, Baoxin Li:
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient. ICLR 2020 - [c128]Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li:
Learning deep graph matching with channel-independent embedding and Hungarian attention. ICLR 2020 - [c127]Pak Lun Kevin Ding, Sarah Martin, Baoxin Li:
Improving Batch Normalization with Skewness Reduction for Deep Neural Networks. ICPR 2020: 7165-7172 - [i28]Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li:
Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition. CoRR abs/2001.04488 (2020) - [i27]Yikang Li, Tianshu Yu, Baoxin Li:
Recognizing Video Events with Varying Rhythms. CoRR abs/2001.05060 (2020) - [i26]Yuzhen Ding, Baoxin Li:
VSEC-LDA: Boosting Topic Modeling with Embedded Vocabulary Selection. CoRR abs/2001.05578 (2020) - [i25]Liang Mi, Tianshu Yu, José Bento, Wen Zhang, Baoxin Li, Yalin Wang:
Variational Wasserstein Barycenters for Geometric Clustering. CoRR abs/2002.10543 (2020) - [i24]Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li:
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. CoRR abs/2007.00864 (2020) - [i23]Nupur Thakur, Yuzhen Ding, Baoxin Li:
Evaluating a Simple Retraining Strategy as a Defense Against Adversarial Attacks. CoRR abs/2007.09916 (2020) - [i22]Yuzhen Ding, Nupur Thakur, Baoxin Li:
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers. CoRR abs/2007.10485 (2020)
2010 – 2019
- 2019
- [j36]Guang Yang, Yaolong Zhao, Baoxin Li, Yuntao Ma, Ruren Li, Jiangbo Jing, Yuanyong Dian:
Tree Species Classification by Employing Multiple Features Acquired from Integrated Sensors. J. Sensors 2019: 3247946:1-3247946:12 (2019) - [j35]Kan Chang, Xueyu Zhang, Pak Lun Kevin Ding, Baoxin Li:
Data-adaptive low-rank modeling and external gradient prior for single image super-resolution. Signal Process. 161: 36-49 (2019) - [j34]Zhigang Tu, Wei Xie, Dejun Zhang, Ronald Poppe, Remco C. Veltkamp, Baoxin Li, Junsong Yuan:
A survey of variational and CNN-based optical flow techniques. Signal Process. Image Commun. 72: 9-24 (2019) - [j33]Zhigang Tu, Wei Xie, Justin Dauwels, Baoxin Li, Junsong Yuan:
Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1423-1437 (2019) - [j32]Zhigang Tu, Hongyan Li, Dejun Zhang, Justin Dauwels, Baoxin Li, Junsong Yuan:
Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition. IEEE Trans. Image Process. 28(6): 2799-2812 (2019) - [c126]Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li:
Weakly Supervised Deep Image Hashing Through Tag Embeddings. CVPR 2019: 10375-10384 - [c125]Yitao Chen, Kaiqi Zhao, Baoxin Li, Ming Zhao:
Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources. HotEdge 2019 - [c124]Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li:
Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition. Image Processing 2019: 109490F - [c123]Xu Zhou, Pak Lun Kevin Ding, Baoxin Li:
Improving Robustness of Random Forest Under Label Noise. WACV 2019: 950-958 - 2018
- [j31]Zhigang Tu, Wei Xie, Qianqing Qin, Ronald Poppe, Remco C. Veltkamp, Baoxin Li, Junsong Yuan:
Multi-stream CNN: Learning representations based on human-related regions for action recognition. Pattern Recognit. 79: 32-43 (2018) - [j30]Kan Chang, Pak Lun Kevin Ding, Baoxin Li:
Single image super-resolution using collaborative representation and non-local self-similarity. Signal Process. 149: 49-61 (2018) - [j29]Kan Chang, Pak Lun Kevin Ding, Baoxin Li:
Single Image Super Resolution Using Joint Regularization. IEEE Signal Process. Lett. 25(4): 596-600 (2018) - [c122]Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati:
Recognizing Plans by Learning Embeddings from Observed Action Distributions. AAMAS 2018: 2153-2155 - [c121]Yikang Li, Tianshu Yu, Baoxin Li:
Simultaneous Event Localization and Recognition in Surveillance Video. AVSS 2018: 1-6 - [c120]Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li:
Joint Cuts and Matching of Partitions in One Graph. CVPR 2018: 705-713 - [c119]Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li:
Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering. ECCV (13) 2018: 142-158 - [c118]Ragini Sharma, Saman Biookaghazadeh, Baoxin Li, Ming Zhao:
Are Existing Knowledge Transfer Techniques Effective for Deep Learning with Edge Devices? EDGE 2018: 42-49 - [c117]Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li:
Generalizing Graph Matching beyond Quadratic Assignment Model. NeurIPS 2018: 861-871 - [c116]Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li:
Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network. WACV 2018: 112-121 - [i21]Yikang Li, Pak Lun Kevin Ding, Baoxin Li:
Training Neural Networks by Using Power Linear Units (PoLUs). CoRR abs/1802.00212 (2018) - [i20]Vijetha Gattupalli, Baoxin Li:
Unsupervised Deep Image Hashing through Tag Embeddings. CoRR abs/1806.05804 (2018) - [i19]Pak Lun Kevin Ding, Yikang Li, Baoxin Li:
Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval. CoRR abs/1811.09763 (2018) - [i18]Yantian Zha, Yikang Li, Tianshu Yu, Subbarao Kambhampati, Baoxin Li:
Plan-Recognition-Driven Attention Modeling for Visual Recognition. CoRR abs/1812.00301 (2018) - 2017
- [j28]Zhigang Tu, Zuwei Guo, Wei Xie, Mengjia Yan, Remco C. Veltkamp, Baoxin Li, Junsong Yuan:
Fusing disparate object signatures for salient object detection in video. Pattern Recognit. 72: 285-299 (2017) - [c115]Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li:
CLARE: A Joint Approach to Label Classification and Tag Recommendation. AAAI 2017: 210-216 - [c114]Parag S. Chandakkar, Yikang Li, Pak Lun Kevin Ding, Baoxin Li:
Strategies for Re-Training a Pruned Neural Network in an Edge Computing Paradigm. EDGE 2017: 244-247 - [c113]Pak Lun Kevin Ding, Baoxin Li, Kan Chang:
Convex dictionary learning for single image super-resolution. ICIP 2017: 4058-4062 - [c112]Xu Zhou, Pak Lun Kevin Ding, Baoxin Li:
Non-negative dictionary learning with pairwise partial similarity constraint. ICME 2017: 1410-1415 - [c111]Lin Chen, Jiliang Tang, Baoxin Li:
Embedded Supervised Feature Selection for Multi-class Data. SDM 2017: 516-524 - [c110]Parag Shridhar Chandakkar, Baoxin Li:
Joint Regression and Ranking for Image Enhancement. WACV 2017: 235-243 - [c109]Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang:
Understanding and Discovering Deliberate Self-harm Content in Social Media. WWW 2017: 93-102 - [i17]Parag S. Chandakkar, Baoxin Li:
Joint Regression and Ranking for Image Enhancement. CoRR abs/1704.01235 (2017) - [i16]Parag S. Chandakkar, Vijetha Gattupalli, Baoxin Li:
A Computational Approach to Relative Aesthetics. CoRR abs/1704.01248 (2017) - [i15]Parag S. Chandakkar, Baoxin Li:
A Structured Approach to Predicting Image Enhancement Parameters. CoRR abs/1704.01249 (2017) - [i14]Parag S. Chandakkar, Qiongjie Tian, Baoxin Li:
Relative Learning from Web Images for Content-adaptive Enhancement. CoRR abs/1704.01250 (2017) - [i13]Parag S. Chandakkar, Yilin Wang, Baoxin Li:
Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection. CoRR abs/1704.01256 (2017) - [i12]Parag S. Chandakkar, Baoxin Li:
Investigating Human Factors in Image Forgery Detection. CoRR abs/1704.01262 (2017) - [i11]Ragav Venkatesan, Parag S. Chandakkar, Baoxin Li:
Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features. CoRR abs/1704.01264 (2017) - [i10]Devi Archana Paladugu, Parag S. Chandakkar, Peng Zhang, Baoxin Li:
Supporting Navigation of Outdoor Shopping Complexes for Visually-impaired Users through Multi-modal Data Fusion. CoRR abs/1704.01266 (2017) - [i9]Ragav Venkatesan, Hemanth Venkateswara, Sethuraman Panchanathan, Baoxin Li:
A Strategy for an Uncompromising Incremental Learner. CoRR abs/1705.00744 (2017) - [i8]Parag Shridhar Chandakkar, Baoxin Li:
Capturing Localized Image Artifacts through a CNN-based Hyper-image Representation. CoRR abs/1711.04945 (2017) - [i7]Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li:
Joint Cuts and Matching of Partitions in One Graph. CoRR abs/1711.09584 (2017) - [i6]Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati:
Recognizing Plans by Learning Embeddings from Observed Action Distributions. CoRR abs/1712.01949 (2017) - 2016
- [j27]Lin Chen, Peng Zhang, Baoxin Li:
User-adaptive image retrieval via fusing pointwise and pairwise labels. Int. J. Multim. Inf. Retr. 5(1): 19-33 (2016) - [j26]Gazi Islam, Kanav Kahol, Baoxin Li, Marshall L. Smith, Vimla L. Patel:
Affordable, web-based surgical skill training and evaluation tool. J. Biomed. Informatics 59: 102-114 (2016) - [j25]Kan Chang, Pak Lun Kevin Ding, Baoxin Li:
Compressive Sensing Reconstruction of Correlated Images Using Joint Regularization. IEEE Signal Process. Lett. 23(4): 449-453 (2016) - [c108]Qiongjie Tian, Baoxin Li:
Weakly hierarchical lasso based learning to rank in best answer prediction. ASONAM 2016: 307-314 - [c107]Qiongjie Tian, Jashmi Lagisetty, Baoxin Li:
Finding needles of interested tweets in the haystack of Twitter network. ASONAM 2016: 447-452 - [c106]Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li:
PPP: Joint Pointwise and Pairwise Image Label Prediction. CVPR 2016: 6005-6013 - [c105]Ragav Venkatesan, Vijetha Gattupalli, Baoxin Li:
On the generality of neural image features. ICIP 2016: 41-45 - [c104]Xu Zhou, Yilin Wang, Peng Zhang, Baoxin Li:
Scale-adaptive EigenEye for fast eye detection in wild web images. ICIP 2016: 2911-2915 - [c103]Yikang Li, Sheng-hung Hu, Baoxin Li:
Recognizing unseen actions in a domain-adapted embedding space. ICIP 2016: 4195-4199 - [c102]Sheng-hung Hu, Yikang Li, Baoxin Li:
Video2vec: Learning semantic spatio-temporal embeddings for video representation. ICPR 2016: 811-816 - [c101]Vijetha Gattupalli, Parag S. Chandakkar, Baoxin Li:
A computational approach to relative aesthetics. ICPR 2016: 2446-2451 - [c100]Zhigang Tu, Jun Cao, Yikang Li, Baoxin Li:
MSR-CNN: Applying motion salient region based descriptors for action recognition. ICPR 2016: 3524-3529 - [c99]Lin Chen, Baoxin Li:
Clustering-Based Joint Feature Selection for Semantic Attribute Prediction. IJCAI 2016: 3338-3344 - [c98]Parag Shridhar Chandakkar, Baoxin Li:
A structured approach to predicting image enhancement parameters. WACV 2016: 1-9 - [c97]Qiongjie Tian, Baoxin Li:
Simultaneous semantic segmentation of a set of partially labeled images. WACV 2016: 1-9 - [c96]Yilin Wang, Qiang Zhang, Baoxin Li:
Efficient unsupervised abnormal crowd activity detection based on a spatiotemporal saliency detector. WACV 2016: 1-9 - [i5]Ragav Venkatesan, Baoxin Li:
Diving deeper into mentee networks. CoRR abs/1604.08220 (2016) - [i4]Ragav Venkatesan, Vijetha Gattupalli, Baoxin Li:
Neural Dataset Generality. CoRR abs/1605.04369 (2016) - [i3]Yilin Wang, Suhang Wang, Jiliang Tang, Neil O'Hare, Yi Chang, Baoxin Li:
Hierarchical Attention Network for Action Recognition in Videos. CoRR abs/1607.06416 (2016) - 2015
- [b1]Qiang Zhang, Baoxin Li:
Dictionary Learning in Visual Computing. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2015, ISBN 978-3-031-01125-2, pp. 1-151 - [j24]Ragav Venkatesan, Christine M. Zwart, David H. Frakes, Baoxin Li:
Spatiotemporal video deinterlacing using control grid interpolation. J. Electronic Imaging 24(2): 023022 (2015) - [j23]Kan Chang, Baoxin Li:
Joint modeling and reconstruction of a compressively-sensed set of correlated images. J. Vis. Commun. Image Represent. 33: 286-300 (2015) - [j22]Qiang Zhang, Baoxin Li:
Relative Hidden Markov Models for Video-Based Evaluation of Motion Skills in Surgical Training. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1206-1218 (2015) - [j21]Kan Chang, Pak Lun Kevin Ding, Baoxin Li:
Color image demosaicking using inter-channel correlation and nonlocal self-similarity. Signal Process. Image Commun. 39: 264-279 (2015) - [c95]Ragav Venkatesan, Parag Shridhar Chandakkar, Baoxin Li:
Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning. ICCV 2015: 2605-2613 - [c94]Yilin Wang, Baoxin Li:
Sentiment Analysis for Social Media Images. ICDM Workshops 2015: 1584-1591 - [c93]Jun Cao, Yilin Wang, Baoxin Li:
Real-time vehicle back-up warning system with a single camera. ICIP 2015: 2275-2279 - [c92]Parag Shridhar Chandakkar, Qiongjie Tian, Baoxin Li:
Relative learning from web images for content-adaptive enhancement. ICME 2015: 1-6 - [c91]Lin Chen, Qiang Zhang, Peng Zhang, Baoxin Li:
Instructive video retrieval for surgical skill coaching using attribute learning. ICME 2015: 1-6 - [c90]Yilin Wang, Qiang Zhang, Baoxin Li:
Structure-preserving Image Quality Assessment. ICME 2015: 1-6 - [c89]Yilin Wang, Yuheng Hu, Subbarao Kambhampati, Baoxin Li:
Inferring Sentiment from Web Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach. ICWSM 2015: 473-482 - [c88]Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li:
Unsupervised Sentiment Analysis for Social Media Images. IJCAI 2015: 2378-2379 - [c87]Lin Chen, Peng Zhang, Baoxin Li:
Fusing Pointwise and Pairwise Labels for Supporting User-adaptive Image Retrieval. ICMR 2015: 67-74 - [c86]Xu Zhou, Baoxin Li:
Retrieving Unfamiliar Faces: Towards Understanding Human Performance. ACM Multimedia 2015: 1287-1290 - [c85]Parag S. Chandakkar, Yilin Wang, Baoxin Li:
Improving Vision-Based Self-Positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection. WACV 2015: 404-411 - [i2]Qiang Zhang, Yilin Wang, Baoxin Li:
Unsupervised Video Analysis Based on a Spatiotemporal Saliency Detector. CoRR abs/1503.06917 (2015) - [i1]Lydia Manikonda, Ragav Venkatesan, Subbarao Kambhampati, Baoxin Li:
Evolution of fashion brands on Twitter and Instagram. CoRR abs/1512.01174 (2015) - 2014
- [j20]Qiang Zhang, Lin Chen, Baoxin Li:
Max-Margin Multiattribute Learning With Low-Rank Constraint. IEEE Trans. Image Process. 23(7): 2866-2876 (2014) - [c84]Qiang Zhang, Jiayu Zhou, Yilin Wang, Jieping Ye, Baoxin Li:
Image Cosegmentation via Multi-task Learning. BMVC 2014 - [c83]Lin Chen, Qiang Zhang, Baoxin Li:
Predicting Multiple Attributes via Relative Multi-task Learning. CVPR 2014: 1027-1034 - [c82]Parag S. Chandakkar, Ragav Venkatesan, Baoxin Li:
Video-Based Self-positioning for Intelligent Transportation Systems Applications. ISVC (1) 2014: 718-729 - [c81]Parag Shridhar Chandakkar, Baoxin Li:
Investigating Human Factors in Image Forgery Detection. HuEvent@MM 2014: 41-44 - [c80]Lin Chen, Peng Zhang, Baoxin Li:
Instructive Video Retrieval Based on Hybrid Ranking and Attribute Learning: A Case Study on Surgical Skill Training. ACM Multimedia 2014: 1045-1048 - [p1]Peng Zhang, Xufei Wang, Baoxin Li:
Evaluating Important Factors and Effective Models for Twitter Trend Prediction. Online Social Media Analysis and Visualization 2014: 81-98 - 2013
- [c79]Peng Zhang, Xufei Wang, Baoxin Li:
On predicting Twitter trend: factors and models. ASONAM 2013: 1427-1429 - [c78]Qiang Zhang, Baoxin Li:
Relative Hidden Markov Models for Evaluating Motion Skill. CVPR 2013: 548-555 - [c77]Qiang Zhang, Peter van Beek, Chang Yuan, Xinyu Xu, Hae Jong Seo, Baoxin Li:
Efficient defect detection with sign information of Walsh Hadamard transform. Image Processing: Machine Vision Applications 2013: 86610A - [c76]Qiang Zhang, Lin Chen, Qiongjie Tian, Baoxin Li:
Video-based analysis of motion skills in simulation-based surgical training. Multimedia Content and Mobile Devices 2013: 86670A - [c75]Hima Bindu Maguluri, Qiongjie Tian, Baoxin Li:
Detecting text in floor maps using Histogram of Oriented Gradients. ICASSP 2013: 1932-1936 - [c74]Gazi Islam, Baoxin Li, Kanav Kahol:
Developing a real-time low-cost system for surgical skill training and assessment. ICME Workshops 2013: 1-4 - [c73]Devi Archana Paladugu, Parag S. Chandakkar, Peng Zhang, Baoxin Li:
Supporting navigation of outdoor shopping complexes for visuallyimpaired users through multi-modal data fusion. ICME 2013: 1-7 - [c72]Qiongjie Tian, Peng Zhang, Baoxin Li:
Towards Predicting the Best Answers in Community-based Question-Answering Services. ICWSM 2013 - [c71]Gazi Islam, Baoxin Li, Kanav Kahol:
An affordable real-time assessment system for surgical skill training. IUI Companion 2013: 111-112 - [c70]Parag S. Chandakkar, Ragav Venkatesan, Baoxin Li:
Retrieving clinically relevant diabetic retinopathy images using a multi-class multiple-instance framework. Computer-Aided Diagnosis 2013: 86700Q - [c69]Lin Chen, Qiang Zhang, Qiongjie Tian, Baoxin Li:
Learning Skill-Defining Latent Space in Video-based Analysis of Surgical Expertise - A Multi-Stream Fusion Approach. MMVR 2013: 66-70 - [e2]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Baoxin Li, Fatih Porikli, Victor B. Zordan, James T. Klosowski, Sabine Coquillart, Xun Luo, Min Chen, David Gotz:
Advances in Visual Computing - 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part I. Lecture Notes in Computer Science 8033, Springer 2013, ISBN 978-3-642-41913-3 [contents] - [e1]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Baoxin Li, Fatih Porikli, Victor B. Zordan, James T. Klosowski, Sabine Coquillart, Xun Luo, Min Chen, David Gotz:
Advances in Visual Computing - 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part II. Lecture Notes in Computer Science 8034, Springer 2013, ISBN 978-3-642-41938-6 [contents] - 2012
- [j19]Zheshen Wang, Nan Li, Baoxin Li:
Fast and independent access to map directions for people who are blind. Interact. Comput. 24(2): 91-106 (2012) - [j18]Naveen Kulkarni, Pradeep Nagesh, Rahul Gowda, Baoxin Li:
Understanding Compressive Sensing and Sparse Representation-Based Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 22(5): 778-789 (2012) - [c68]Gazi Islam, Kanav Kahol, Baoxin Li:
Development of a Video-based System for Surgical Skill Training and Assessment. AMIA 2012 - [c67]Devi Archana Paladugu, Hima Bindu Maguluri, Qiongjie Tian, Baoxin Li:
Automated description generation for indoor floor maps. ASSETS 2012: 211-212 - [c66]Parag S. Chandakkar, Ragav Venkatesan, Baoxin Li, Helen K. Li:
A machine-learning approach to retrieving diabetic retinopathy images. BCB 2012: 588-589 - [c65]Ragav Venkatesan, Parag S. Chandakkar, Baoxin Li, Helen K. Li:
Classification of diabetic retinopathy images using multi-class multiple-instance learning based on color correlogram features. EMBC 2012: 1462-1465 - [c64]Yajun Gao, Baoxin Li:
Active learning for tag recommendation utilizing on-line photos lacking tags. ICIP 2012: 2869-2872 - [c63]Qiang Zhang, Baoxin Li:
Mining discriminative components with low-rank and sparsity constraints for face recognition. KDD 2012: 1469-1477 - 2011
- [j17]Bo Peng, Gang Qian, Yunqian Ma, Baoxin Li:
Multifactor feature extraction for human movement recognition. Comput. Vis. Image Underst. 115(3): 375-389 (2011) - [j16]Jin Zhou, Baoxin Li:
Rapid modeling of cones and cylinders from a single calibrated image using minimum 2D control points. Mach. Vis. Appl. 22(2): 303-321 (2011) - [c62]Naveen Kulkarni, Baoxin Li:
Discriminative affine sparse codes for image classification. CVPR 2011: 1609-1616 - [c61]Nan Li, Zheshen Wang, Jesus Yuriar, Baoxin Li:
TactileFace: a system for enabling access to face photos by visually-impaired people. IUI 2011: 445-446 - [c60]Zheshen Wang, Mrityunjay Kumar, Jiebo Luo, Baoxin Li:
Extracting key frames from consumer videos using bi-layer group sparsity. ACM Multimedia 2011: 1505-1508 - 2010
- [j15]Avin Kumar Kannur, Baoxin Li:
On implementing motion-based Region of Interest detection on multi-core CELL. Comput. Vis. Image Underst. 114(11): 1139-1151 (2010) - [j14]Rahul Gowda, Shalin M. Mehta, Yue Yang, Baoxin Li:
Adaptive nonlinear Image Enhancement of Gaussian Degraded Images. Int. J. Image Graph. 10(3): 365-393 (2010) - [j13]Zheshen Wang, Baoxin Li:
A Bayesian Approach to Automated Creation of Tactile Facial Images. IEEE Trans. Multim. 12(4): 233-246 (2010) - [c59]Zheshen Wang, Baoxin Li:
Synchronizing disparate video streams from laparoscopic operations in simulation-based surgical training. AIPR 2010: 1-6 - [c58]Devi Archana Paladugu, Zheshen Wang, Baoxin Li:
On presenting audio-tactile maps to visually impaired users for getting directions. CHI Extended Abstracts 2010: 3955-3960 - [c57]Jin Zhou, Qiang Zhang, Baoxin Li, Ananya Das:
Synthesis of stereoscopic views from monocular endoscopic videos. CVPR Workshops 2010: 55-62 - [c56]Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, Baoxin Li:
YouTubeCat: Learning to categorize wild web videos. CVPR 2010: 879-886 - [c55]Qiang Zhang, Baoxin Li:
Discriminative K-SVD for dictionary learning in face recognition. CVPR 2010: 2691-2698 - [c54]Pradeep Nagesh, Rahul Gowda, Baoxin Li:
Fast GPU implementation of large scale dictionary and sparse representation based vision problems. ICASSP 2010: 1570-1573 - [c53]Nan Li, Baoxin Li:
Tensor completion for on-board compression of hyperspectral images. ICIP 2010: 517-520 - [c52]Qiang Zhang, Baoxin Li:
Joint Sparsity Model with Matrix Completion for an ensemble of face images. ICIP 2010: 1665-1668 - [c51]Qiang Zhang, Baoxin Li:
Towards Computational Understanding of Skill Levels in Simulation-Based Surgical Training via Automatic Video Analysis. ISVC (3) 2010: 249-260 - [c50]Xiaolong Zhang, Baoxin Li:
Retrieving Images of Similar Geometrical Configuration. ISVC (2) 2010: 449-458
2000 – 2009
- 2009
- [j12]Viswesh Parameswaran, Avin Kumar Kannur, Baoxin Li:
Adapting quantization offset in multiple description coding for error resilient video transmission. J. Vis. Commun. Image Represent. 20(7): 491-503 (2009) - [j11]Wenfeng Li, Jin Zhou, Baoxin Li, M. Ibrahim Sezan:
Virtual View Specification and Synthesis for Free Viewpoint Television. IEEE Trans. Circuits Syst. Video Technol. 19(4): 533-546 (2009) - [j10]Xinyu Xu, Baoxin Li:
Exploiting Motion Correlations in 3-D Articulated Human Motion Tracking. IEEE Trans. Image Process. 18(6): 1292-1303 (2009) - [c49]Zheshen Wang, Baoxin Li, Terri Hedgpeth, Teresa Haven:
Instant tactile-audio map: enabling access to digital maps for people with visual impairment. ASSETS 2009: 43-50 - [c48]Pradeep Nagesh, Baoxin Li:
A compressive sensing approach for expression-invariant face recognition. CVPR 2009: 1518-1525 - [c47]Avin Kumar Kannur, Baoxin Li:
Power-aware content-adaptive H.264 video encoding. ICASSP 2009: 925-928 - [c46]Pradeep Nagesh, Baoxin Li:
Compressive imaging of color images. ICASSP 2009: 1261-1264 - [c45]Zheshen Wang, Baoxin Li:
Human Activity Encoding and Recognition Using Low-level Visual Features. IJCAI 2009: 1876-1883 - 2008
- [j9]Shankara B. Subramanya, Zheshen Wang, Baoxin Li, Huan Liu:
Completing missing views for multiple sources of web media. Int. J. Data Min. Model. Manag. 1(1): 23-44 (2008) - [c44]Michael A. Baker, Viswesh Parameswaran, Karam S. Chatha, Baoxin Li:
Power reduction via macroblock prioritization for power aware H.264 video applications. CODES+ISSS 2008: 261-266 - [c43]Wenfeng Li, Baoxin Li:
Joint Conditional Random Field of multiple views with online learning for image-based rendering. CVPR 2008 - [c42]Zheshen Wang, Xinyu Xu, Baoxin Li:
Bayesian tactile face. CVPR 2008 - [c41]Jin Zhou, Ananya Das, Feng Li, Baoxin Li:
Circular generalized cylinder fitting for 3D reconstruction in endoscopic imaging based on MRF. CVPR Workshops 2008: 1-8 - [c40]Jayanth Madapura, Baoxin Li:
Multi-target tracking based on KLD mixture particle filter with radial basis function support. ICASSP 2008: 725-728 - [c39]Zheshen Wang, Baoxin Li:
A two-stage approach to saliency detection in images. ICASSP 2008: 965-968 - [c38]Wenfeng Li, Baoxin Li:
Virtual view synthesis with heuristic spatial motion. ICIP 2008: 1508-1511 - [c37]Avin Kumar Kannur, Baoxin Li:
An enhanced rate control scheme with motion assisted slice grouping for low bit rate coding in H.264. ICIP 2008: 2100-2103 - [c36]Shankara B. Subramanya, Baoxin Li, Huan Liu:
Robust integration of multiple information sources by view completion. IRI 2008: 398-403 - [c35]Jin Zhou, Baoxin Li:
A Four Point Algorithm for Fast Metric Cone Reconstruction from a Calibrated Image. ISVC (2) 2008: 634-643 - [c34]Xiaolong Zhang, Jin Zhou, Baoxin Li:
Robust Two-View External Calibration by Combining Lines and Scale Invariant Point Features. ISVC (1) 2008: 825-835 - [c33]Xinyu Xu, Baoxin Li:
Automatic classification and detection of clinically relevant images for diabetic retinopathy. Computer-Aided Diagnosis 2008: 69150Q - 2007
- [j8]Zheshen Wang, Xinyu Xu, Baoxin Li:
Enabling Seamless Access to Digital Graphical Contents for Visually Impaired Individuals via Semantic-Aware Processing. EURASIP J. Image Video Process. 2007 (2007) - [j7]Xinyu Xu, Baoxin Li:
Multiple Class Multiple-Instance Learning and its Application to Image Categorization. Int. J. Image Graph. 7(3): 427-444 (2007) - [j6]Xinyu Xu, Baoxin Li:
Adaptive Rao-Blackwellized Particle Filter and Its Evaluation for Tracking in Surveillance. IEEE Trans. Image Process. 16(3): 838-849 (2007) - [c32]Xinyu Xu, Baoxin Li:
Evaluating Multi-class Multiple-Instance Learning for Image Categorization. ACCV (2) 2007: 155-165 - [c31]Jin Zhou, Baoxin Li:
Exploiting Vertical Lines in Vision-Based Navigation for Mobile Robot Platforms. ICASSP (1) 2007: 465-468 - [c30]Xinyu Xu, Baoxin Li:
Learning Motion Correlation for Tracking Articulated Human Body with a Rao-Blackwellised Particle Filter. ICCV 2007: 1-8 - [c29]Wenfeng Li, Baoxin Li:
MAP Estimation of Epipolar Geometry by EM Algorithm and Local Diffusion. ICIP (5) 2007: 201-204 - [c28]Haomian Wang, Houqiang Li, Baoxin Li:
Video Inpainting for Largely Occluded Moving Human. ICME 2007: 1719-1722 - [c27]Jayanth Madapura, Baoxin Li:
3D Articulated Human Body Tracking using KLD-Annealed Rao-Blackwellised Particle Filter. ICME 2007: 1950-1953 - [c26]Xiaokun Li, Roger Xu, Jin Zhou, Baoxin Li:
Creating Stereoscopic (3D) Video from a 2D Monocular Video Stream. ISVC (1) 2007: 258-267 - [c25]Narayanan Chatapuram Krishnan, Baoxin Li, Sethuraman Panchanathan:
Detecting and classifying frontal, back and profile views of humans. VISAPP (2) 2007: 137-142 - 2006
- [j5]Chiman Kwan, Baoxin Li, Roger Xu, X. Li, Trac D. Tran, T. Nguyen:
A Complete Image Compression Scheme Based on Overlapped Block Transform with Post-Processing. EURASIP J. Adv. Signal Process. 2006 (2006) - [c24]Wenfeng Li, Jin Zhou, Baoxin Li, M. Ibrahim Sezan:
Virtual View Specification and Synthesis in Free Viewpoint Television Application. 3DPVT 2006: 464-471 - [c23]Jin Zhou, Baoxin Li:
Image Rectification for Stereoscopic Visualization Without 3D Glasses. CIVR 2006: 495-498 - [c22]Xiaokun Li, Chiman Kwan, Gang Mei, Baoxin Li:
A Generic Approach to Object Matching and Tracking. ICIAR (1) 2006: 839-849 - [c21]Jin Zhou, Baoxin Li:
Robust Ground Plane Detection with Normalized Homography in Monocular Sequences from a Robot Platform. ICIP 2006: 3017-3020 - [c20]Jin Zhou, Baoxin Li:
Rectification with Intersecting Optical Axes for Stereoscopic Visualization. ICPR (2) 2006: 17-20 - [c19]Wenfeng Li, Baoxin Li:
Probabilistic Image-Based Rendering with Gaussian Mixture Model. ICPR (1) 2006: 179-182 - [c18]Jin Zhou, Baoxin Li:
Homography-based Ground Detection for a Mobile Robot Platform using a Single Camera. ICRA 2006: 4100-4105 - [c17]Xiaokun Li, Chiman Kwan, Baoxin Li:
Stereo Imaging with Uncalibrated Camera. ISVC (1) 2006: 112-121 - [c16]Xinyu Xu, Baoxin Li, Jose F. Florez, Helen K. Li:
Simulation of Diabetic Retinopathy Neovascularization in Color Digital Fundus Images. ISVC (1) 2006: 421-433 - 2005
- [c15]Xinyu Xu, Baoxin Li:
Head Tracking Using Particle Filter with Intensity Gradient and Color Histogram. ICME 2005: 888-891 - [c14]Yue Yang, Baoxin Li:
Non-linear image enhancement for digital TV applications using Gabor filters. ICME 2005: 1018-1021 - [c13]Jin Zhou, Baoxin Li:
Automatic Generation of Pencil-Sketch Like Drawings from Personal Photos. ICME 2005: 1026-1029 - 2004
- [j4]Baoxin Li, James H. Errico, Hao Pan, M. Ibrahim Sezan:
Bridging the semantic gap in sports video retrieval and summarization. J. Vis. Commun. Image Represent. 15(3): 393-424 (2004) - [c12]Baoxin Li, M. Ibrahim Sezan:
Automatic keystone correction for smart projectors with embedded camera. ICIP 2004: 2829-2832 - 2003
- [c11]Baoxin Li, Hao Pan, M. Ibrahim Sezan:
A general framework for sports video summarization with its application to soccer. ICASSP (3) 2003: 169-172 - [c10]Baoxin Li, Ibrahim Sezan:
Semantic sports video analysis: approaches and new applications. ICIP (1) 2003: 17-20 - [c9]Baoxin Li, James H. Errico, Hao Pan, M. Ibrahim Sezan:
Bridging the semantic gap in sports. Storage and Retrieval for Media Databases 2003: 314-326 - 2002
- [j3]Baoxin Li, Rama Chellappa:
A generic approach to simultaneous tracking and verification in video. IEEE Trans. Image Process. 11(5): 530-544 (2002) - [c8]Hao Pan, Baoxin Li, M. Ibrahim Sezan:
Automatic detection of replay segments in broadcast sports programs by detection of logos in scene transitions. ICASSP 2002: 3385-3388 - [c7]Rama Chellappa, Shaohua Kevin Zhou, Baoxin Li:
Bayesian methods for face recognition from video. ICASSP 2002: 4068-4071 - [c6]Baoxin Li, M. Ibrahim Sezan:
Event detection and summarization in American football broadcast video. Storage and Retrieval for Media Databases 2002: 202-213 - 2001
- [j2]Baoxin Li, Rama Chellappa, Qinfen Zheng, Sandor Z. Der, Nasser M. Nasrabadi, LipChen Alex Chan, Lin-Cheng Wang:
Experimental Evaluation of FLIR ATR Approaches - A Comparative Study. Comput. Vis. Image Underst. 84(1): 5-24 (2001) - [j1]Baoxin Li, Rama Chellappa, Qinfen Zheng, Sandor Z. Der:
Model-based temporal object verification using video. IEEE Trans. Image Process. 10(6): 897-908 (2001) - [c5]Baoxin Li, M. Ibrahim Sezan:
Adaptive Video Background Replacement. ICME 2001 - 2000
- [c4]Baoxin Li, Rama Chellappa:
Simultaneous Tracking and Verification via Sequential Posterior Estimation. CVPR 2000: 2110-2117 - [c3]Baoxin Li, Rama Chellappa:
Gabor Attributes Tracking for Face Verification. ICIP 2000: 45-48
1990 – 1999
- 1999
- [c2]Baoxin Li, Rama Chellappa, Qinfen Zheng, Sandor Z. Der:
Dynamic object identification and verification using video. ICASSP 1999: 3337-3340 - [c1]Bao-Qing Li, Baoxin Li:
Building pattern classifiers using convolutional neural networks. IJCNN 1999: 3081-3085
Coauthor Index
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