Relevant bibliographies by topics / Low Resolution Face Recognition

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Low Resolution Face Recognition'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Low Resolution Face Recognition"

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Chen, Jin, Jun Chen, Zheng Wang, Chao Liang, and Chia-Wen Lin. "Identity-Aware Face Super-Resolution for Low-Resolution Face Recognition." IEEE Signal Processing Letters 27 (2020): 645–49. http://dx.doi.org/10.1109/lsp.2020.2986942.

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Wang, Zhifei, Zhenjiang Miao, Q. M. Jonathan Wu, Yanli Wan, and Zhen Tang. "Low-resolution face recognition: a review." Visual Computer 30, no. 4 (2013): 359–86. http://dx.doi.org/10.1007/s00371-013-0861-x.

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Zou, W. W. W., and P. C. Yuen. "Very Low Resolution Face Recognition Problem." IEEE Transactions on Image Processing 21, no. 1 (2012): 327–40. http://dx.doi.org/10.1109/tip.2011.2162423.

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Hong, Sungeun, and Jongbin Ryu. "Unsupervised Face Domain Transfer for Low-Resolution Face Recognition." IEEE Signal Processing Letters 27 (2020): 156–60. http://dx.doi.org/10.1109/lsp.2019.2963001.

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Xu, Xiang, Wanquan Liu, and Ling Li. "Low Resolution Face Recognition in Surveillance Systems." Journal of Computer and Communications 02, no. 02 (2014): 70–77. http://dx.doi.org/10.4236/jcc.2014.22013.

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Mostafa, Eslam, Riad Hammoud, Asem Ali, and Aly Farag. "Face recognition in low resolution thermal images." Computer Vision and Image Understanding 117, no. 12 (2013): 1689–94. http://dx.doi.org/10.1016/j.cviu.2013.07.010.

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Han, Feng, Xudong Wang, Furao Shen, and Jian Zhao. "C-Face: Using Compare Face on Face Hallucination for Low-Resolution Face Recognition." Journal of Artificial Intelligence Research 74 (August 16, 2022): 1715–37. http://dx.doi.org/10.1613/jair.1.13816.

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Face hallucination is a task of generating high-resolution (HR) face images from low-resolution (LR) inputs, which is a subfield of the general image super-resolution. However, most of the previous methods only consider the visual effect, ignoring how to maintain the identity of the face. In this work, we propose a novel face hallucination model, called C-Face network, which can generate HR images with high visual quality while preserving the identity information. A face recognition network is used to extract the identity features in the training process. In order to make the reconstructed fac
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Li, Sisi, Zhonghua Liu, Di Wu, Hua Huo, Haijun Wang, and Kaibing Zhang. "Low-resolution face recognition based on feature-mapping face hallucination." Computers and Electrical Engineering 101 (July 2022): 108136. http://dx.doi.org/10.1016/j.compeleceng.2022.108136.

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Peng, Yuxi, Luuk Spreeuwers, and Raymond Veldhuis. "Low‐resolution face alignment and recognition using mixed‐resolution classifiers." IET Biometrics 6, no. 6 (2017): 418–28. http://dx.doi.org/10.1049/iet-bmt.2016.0026.

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Maity, Sayan, Mohamed Abdel-Mottaleb, and Shihab S. Asfour. "Multimodal Low Resolution Face and Frontal Gait Recognition from Surveillance Video." Electronics 10, no. 9 (2021): 1013. http://dx.doi.org/10.3390/electronics10091013.

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Biometric identification using surveillance video has attracted the attention of many researchers as it can be applicable not only for robust identification but also personalized activity monitoring. In this paper, we present a novel multimodal recognition system that extracts frontal gait and low-resolution face images from frontal walking surveillance video clips to perform efficient biometric recognition. The proposed study addresses two important issues in surveillance video that did not receive appropriate attention in the past. First, it consolidates the model-free and model-based gait f
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Dissertations / Theses on the topic "Low Resolution Face Recognition"

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Arachchige, Somi Ruwan Budhagoda. "Face recognition in low resolution video sequences using super resolution /." Online version of thesis, 2008. http://hdl.handle.net/1850/7770.

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Roeder, James Roger. "Assessment of super-resolution for face recognition from very-low resolution images." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Kramer, Annika. "Model based methods for locating, enhancing and recognising low resolution objects in video." Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/585.

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Visual perception is our most important sense which enables us to detect and recognise objects even in low detail video scenes. While humans are able to perform such object detection and recognition tasks reliably, most computer vision algorithms struggle with wide angle surveillance videos that make automatic processing difficult due to low resolution and poor detail objects. Additional problems arise from varying pose and lighting conditions as well as non-cooperative subjects. All these constraints pose problems for automatic scene interpretation of surveillance video, including object dete
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SILVA, José Ivson Soares da. "Reconhecimento facial em imagens de baixa resolução." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/16367.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2016-04-07T12:14:52Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) dissertação_jiss_ciênciadacomputação.pdf: 2819671 bytes, checksum: 98f583c2b7105c3a5b369b2b48097633 (MD5)<br>Made available in DSpace on 2016-04-07T12:14:52Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) dissertação_jiss_ciênciadacomputação.pdf: 2819671 bytes, checksum: 98f583c2b7105c3a5b369b2b48097633 (MD5) Previous issue date: 2015-02-24<br>FAD
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Prado, Kelvin Salton do. "Comparação de técnicas de reconhecimento facial para identificação de presença em um ambiente real e semicontrolado." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-07012018-222531/.

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O reconhecimento facial é uma tarefa que os seres humanos realizam naturalmente todos os dias e praticamente sem esforço nenhum. Porém para uma máquina este processo não é tão simples. Com o aumento do poder computacional das máquinas atuais criou-se um grande interesse no processamento de imagens e vídeos digitais, com aplicações nas mais diversas áreas de conhecimento. Este trabalho objetiva a comparação de técnicas de reconhecimento facial, já conhecidas na literatura, com o intuito de identificar qual técnica possui melhor desempenho em um ambiente real e semicontrolado. Secundariamente av
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Bilson, Amy Jo. "Image size and resolution in face recognition /." Thesis, Connect to this title online; UW restricted, 1987. http://hdl.handle.net/1773/9166.

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Lin, Frank Chi-Hao. "Super-resolution image processing with application to face recognition." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/16703/1/Frank_Lin_Thesis.pdf.

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Subject identification from surveillance imagery has become an important task for forensic investigation. Good quality images of the subjects are essential for the surveillance footage to be useful. However, surveillance videos are of low resolution due to data storage requirements. In addition, subjects typically occupy a small portion of a camera's field of view. Faces, which are of primary interest, occupy an even smaller array of pixels. For reliable face recognition from surveillance video, there is a need to generate higher resolution images of the subject's face from low-resolution vide
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Lin, Frank Chi-Hao. "Super-resolution image processing with application to face recognition." Queensland University of Technology, 2008. http://eprints.qut.edu.au/16703/.

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Subject identification from surveillance imagery has become an important task for forensic investigation. Good quality images of the subjects are essential for the surveillance footage to be useful. However, surveillance videos are of low resolution due to data storage requirements. In addition, subjects typically occupy a small portion of a camera's field of view. Faces, which are of primary interest, occupy an even smaller array of pixels. For reliable face recognition from surveillance video, there is a need to generate higher resolution images of the subject's face from low-resolution vide
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Naim, Mamoun. "New techniques in the recognition of very low resolution images." Thesis, University of Reading, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266343.

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Li, Kai Chee. "Object identification from a low resolution laser radar system." Thesis, University of Surrey, 1992. http://epubs.surrey.ac.uk/844536/.

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Range is a very important and useful physical property. We can extract most of the physical features of an object from a 3-D image. This thesis is about analysing range images taken from a low resolution laser radar system. The objective of this research is to locate and attempt to identify obstacles in the surroundings for an unmanned small tracked vehicle to find its way. A short range (less than 30 metres) laser radar range finder, provided by the Ministry of Defense, gathered range images around the vehicle. Trees, rocks and walls are classified as obstacles. Roads, grassland and bushes ar
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Books on the topic "Low Resolution Face Recognition"

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Keitel, Stefan. Development of a microprocessor based low cost, low resolution image recognition system. Brunel University, 1987.

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Video-to-Video Face Recognition for Low-Quality Surveillance Data. KIT Scientific Publishing, 2018.

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Antonios, Tzanakopoulos. Part I The International Law of Tainted Money, 5 International Legal Sources IV—the European Union and the Council of Europe. Oxford University Press, 2017. http://dx.doi.org/10.1093/law/9780198716587.003.0005.

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This chapter examines the European Union (EU) from the perspective of public international law. Financial crime, this chapter argues, is an international phenomenon that requires international solutions. This recognition has resulted in states cooperating on a number of different levels in order to streamline their responses to international financial crime. This chapter deals with the EU in two guises: as an independent source of international obligation for its member states, imposing discreet international obligations on them, which may even function so as to turn non-binding recommendation
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Alex, Mills. Part X Judicial Review, Judicial Performance, and Enforcement, 31 The Principled English Ambivalence to Law and Dispute Resolution Beyond the State. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198783206.003.0032.

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This chapter examines what appears to be an ambivalence in English law towards non-state forms of law and dispute resolution. It begins by focusing on the fact that an English court will not recognize the validity of a choice of non-state law in a contract, but will nevertheless recognize and enforce an arbitral award based on the application of non-state law, identically chosen by the parties. It then deals with the English courts’ attitude to the recognition and enforcement of a foreign arbitral award which has been set aside by the courts of the seat of the arbitration, under which the arbi
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Buhlmann, Ulrike, and Andrea S. Hartmann. Cognitive and Emotional Processing in Body Dysmorphic Disorder. Edited by Katharine A. Phillips. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190254131.003.0022.

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According to current cognitive-behavioral models, body dysmorphic disorder (BDD) is characterized by a vicious cycle between maladaptive appearance-related thoughts and information-processing biases, as well as maladaptive behaviors and negative emotions such as feelings of shame, disgust, anxiety, and depression. This chapter provides an overview of findings on cognitive characteristics such as dysfunctional beliefs, information-processing biases for threat (e.g., selective attention, interpretation), and implicit associations (e.g., low self-esteem, strong physical attractiveness stereotype,
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Martin, Graham R. The Sensory Ecology of Collisions and Entrapment. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199694532.003.0009.

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Collisions of birds with human artefacts (power lines, wind turbines, glass sheets, etc.) are major source of bird mortality. Many birds are also killed by entrapment in fishing nets. A sensory ecology perspective on this problem shows that collision and entrapment occur because these hazards present perceptual tasks that are beyond the capacities of the birds; birds are carrying out tasks where a hazard would not be predicted; or birds perceive the hazard but make an inappropriate categorical response. Birds that fly into power lines and turbines may be simply not looking ahead or are flying
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Siklos, Pierre L. Central Banks into the Breach. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190228835.001.0001.

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The book covers the global economy and the various pressures faced by central banks. It also provides some ideas for reforming existing monetary policy strategies. The events of the past fifteen years in monetary policy are essentially the story of two mistakes, one triumph, and the real possibility of another mistake to come. Prior to the global financial crisis, many central bankers were glib about the connection between finance and the real economy. This is partly because the last three decades saw many financial crises with apparently little lasting impact on the global economy. Another mi
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Tir, Jaroslav, and Johannes Karreth. Incentivizing Peace. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190699512.001.0001.

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Civil wars are one of the most pressing problems facing the world. Common approaches such as mediation, intervention, and peacekeeping have produced some results in managing ongoing civil wars, but they fall short in preventing civil wars in the first place. This book argues for considering civil wars from a developmental perspective to identify steps to assure that nascent, low-level armed conflicts do not escalate to full-scale civil wars. We show that highly structured intergovernmental organizations (IGOs, e.g. the World Bank or IMF) are particularly well positioned to engage in civil war
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Cukierman, Alex. Central Banks. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228637.013.64.

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The first CBs were private institutions that were given a monopoly over the issuance of currency by government in return for help in financing the budget and adherence to the rules of the gold standard. Under this standard the price of gold in terms of currency was fixed and the CB could issue or retire domestic currency only in line with gold inflows or outflows. Due to the scarcity of gold this system assured price stability as long as it functioned. Wars and depressions led to the replacement of the gold standard by the more flexible gold exchange standard. Along with restrictions on intern
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Book chapters on the topic "Low Resolution Face Recognition"

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Cheng, Zhiyi, Xiatian Zhu, and Shaogang Gong. "Low-Resolution Face Recognition." In Computer Vision – ACCV 2018. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20893-6_38.

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Marciniak, Tomasz, Adam Dabrowski, Agata Chmielewska, and Radosław Weychan. "Face Recognition from Low Resolution Images." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30721-8_22.

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Hernández-Durán, Mairelys, Veronika Cheplygina, and Yenisel Plasencia-Calaña. "Dissimilarity Representations for Low-Resolution Face Recognition." In Similarity-Based Pattern Recognition. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24261-3_6.

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Golla, Monika Rani, Poonam Sharma, and Jitendra Madarkar. "Face Recognition Algorithm for Low-Resolution Images." In Social Networking and Computational Intelligence. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2071-6_29.

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Wang, Xiaoying, Le Liu, and Haifeng Hu. "Coupled Kernel Fisher Discriminative Analysis for Low-Resolution Face Recognition." In Biometric Recognition. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02961-0_10.

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Wang, Xuebo, Yao Lu, Xiaozhen Chen, Weiqi Li, and Zijian Wang. "Asymmetric Pyramid Based Super Resolution from Very Low Resolution Face Image." In Pattern Recognition and Computer Vision. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31723-2_59.

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Kono, Yuki, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, and Hiroshi Murase. "Frontal Face Generation from Multiple Low-Resolution Non-frontal Faces for Face Recognition." In Computer Vision – ACCV 2010 Workshops. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22822-3_18.

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Arya, K. V., Shyam Singh Rajput, and Shambhavi Upadhyay. "Noise-Robust Low-Resolution Face Recognition Using SIFT Features." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1135-2_49.

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Jia, Guangheng, Xiaoguang Li, Li Zhuo, and Li Liu. "Recognition Oriented Feature Hallucination for Low Resolution Face Images." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48896-7_27.

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Mudunuri, Sivaram Prasad, Shashanka Venkataramanan, and Soma Biswas. "Improved Low Resolution Heterogeneous Face Recognition Using Re-ranking." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0020-2_39.

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Conference papers on the topic "Low Resolution Face Recognition"

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Wilman, W. W. Zou, and Pong C. Yuen. "Very low resolution face recognition problem." In 2010 IEEE Fourth International Conference On Biometrics: Theory, Applications And Systems (BTAS). IEEE, 2010. http://dx.doi.org/10.1109/btas.2010.5634490.

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Xu, Yong, and Zhong Jin. "Down-Sampling Face Images and Low-Resolution Face Recognition." In 2008 3rd International Conference on Innovative Computing Information and Control. IEEE, 2008. http://dx.doi.org/10.1109/icicic.2008.234.

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Rajawat, Aparna, Mahendra Kumar Pandey, and Shyam Singh Rajput. "Low resolution face recognition techniques: A survey." In 2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT). IEEE, 2017. http://dx.doi.org/10.1109/ciact.2017.7977381.

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Roshna, N. R., and S. Naveen. "Multimodal low resolution face recognition using SVD." In 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT). IEEE, 2017. http://dx.doi.org/10.1109/iccpct.2017.8074200.

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Lei, Zhen, Timo Ahonen, Matti Pietikainen, and Stan Z. Li. "Local frequency descriptor for low-resolution face recognition." In Gesture Recognition (FG 2011). IEEE, 2011. http://dx.doi.org/10.1109/fg.2011.5771391.

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Wang, Haihan, and Shangfei Wang. "Low-Resolution Face Recognition Enhanced by High-Resolution Facial Images." In 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG). IEEE, 2023. http://dx.doi.org/10.1109/fg57933.2023.10042552.

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Lai, Shun-Cheung, Chen-Hang He, and Kin-Man Lam. "Low-Resolution Face Recognition Based on Identity-Preserved Face Hallucination." In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. http://dx.doi.org/10.1109/icip.2019.8803782.

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Huang, Shih-Ming, Yang-Ting Chou, Szu-Hua Wu, and Jar-Ferr Yang. "Multi-Resolution Local Probabilistic Approach for Low Resolution Face Recognition." In 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation (ICBMI). IEEE, 2011. http://dx.doi.org/10.1109/icbmi.2011.67.

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Tan, Jin Chyuan, Kian Ming Lim, and Chin Poo Lee. "Enhanced AlexNet with Super-Resolution for Low-Resolution Face Recognition." In 2021 9th International Conference on Information and Communication Technology (ICoICT). IEEE, 2021. http://dx.doi.org/10.1109/icoict52021.2021.9527433.

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Chai, Jacky Chen Long, Cheng Yaw Low, and Andrew Beng Jin Teoh. "DIRA: disjoint-identity resolution adaptation for low-resolution face recognition." In Fourteenth International Conference on Digital Image Processing (ICDIP 2022), edited by Yi Xie, Xudong Jiang, Wenbing Tao, and Deze Zeng. SPIE, 2022. http://dx.doi.org/10.1117/12.2644258.

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Reports on the topic "Low Resolution Face Recognition"

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Inter-American Development Bank Group Climate Change Action Plan 2021-2025. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003153.

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The Climate Change Action Plan describes the IDB Groups progress since 2016 to support the regions need for low-carbon and climate-resilient development finance and its plan to raise climate ambition continuously in the region. The Second Update to the Institutional Strategy specifies that cross cutting issues, including climate change, continue to hamper development and that the IDB Group will renew its commitment to address them. The climate-finance goal set in the Bahamas Resolution has been extended through its inclusion in the IDB Group Corporate Results Framework 2020- 2023 (CRF 20202023
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