CI1176 - Tópicos em Visão Computacional

BCC, IBM & PPGInf - Turma 2023-1

Professor: David Menotti @inf.ufpr.br @gmail.com

Carga Horária: 60 horas em aulas expositivas e colaborativas.

Horário: terças-feiras e quintas-feiras das 15h40 às 17h20

Sala: PA 02 (ter) & PC 18 (qui) (Presencial) / Google Meet (Digital)

Avaliação

80% - quatro apresentações de pesos iguais

20% - frequência

  • 100% dos 20%: no máximo 3 ausências

  • 50% dos 20%: entre 5 e 4 ausências

  • 0% dos 20%: entre 7 e 6 ausências

Ementa

  • Leitura, estudo e apresentação de artigos científicos da área publicados em veículos de impacto e relevância relacionados a diversos tópicos da área de visão computacional.

Datas Importantes

  • 21/03/23 Primeiro Encontro

  • 06/04/23 Quinta-feira santa (não haverá aula)

  • 01/06/23 Feira de Cursos e Profissões (não haverá aula)

  • 08/06/23 Corpus Christi

  • 06/07/23 Final

Cronograma Tentativo

## DATA ATIVIDADE / TÓPICO Apresentador
1 21/3 Apresentação David Menotti
2 23/3 Inaugural - Palestra David Menotti
3 28/3 MLP, LeNet & AlexNet Eduardo G., David & Leticia
4 30/3 ResNet, LSTM & ViT Leonardo, Gabriel N. & Pedro
5 04/4 Object Classification André, Eduardo G. & Gabriel P.
06/4 Nao haverá aula
07/4 Sexta-feira Santa Sexta-feira
6 11/4 Object Detection Leticia, Rayson & Gabriel P.
7 13/4 Image Segmentation Leticia, Felipe & Vinícius
8 18/4 Generative Models Felipe, Leonardo & Eduardo G.
9 20/4 Vehicle Identification Rayson & Eduardo S. & Sabri
21/4 Tiradentes Sexta-feira
10 25/4 Aut. License Plate Recognition SR Eduardo S., Gabriel P. & Valfride
11 27/4 Face Detection Eduardo S. & Bernardo
01/5 Dia do Trabalho Segunda-feira
12 02/5 Face Recogntion André, Gabriel P. & Bernardo
13 04/5 Face Recognition 3D Sabry, Pedro, Bernardo
14 09/5 Face Masked Recognition Felipe, Sabry & Michel
15 11/5 Face Recognition SR Eduardo G., Pedro & João Picolo
16 16/5 General Spoofing Rodrigo & Bruno Kamarowski
17 18/5 Face Anti-Spoofing (Passive) Sabry, Felipe & Raul Almeida
18 23/5 Face Anti-Spoofing (Active) Vinícius, Leonardo & Bruno Kamarowski
19 25/5 Facial Expression Vinícius & Eduardo S.
20 30/5 Natural Language Processing Lucas Woicjk
01/6 Feira de Cursos e Profissões Quinta-feira
21 06/6 Document Recognition Lucas Woicjk
08/6 Corpus Christi Quinta-feira
22 13/6 Action Recognition Valter Estebam
23 15/6 Reinforcement Learning João Picolo, Leonardo & Gabriel N.
17/6 Reposição 08/6 Sábado
24 20/6 Zero Shot Learning Valter Estebam
25 22/6 Pose Estimation Michel, André & Raul Almeida
26 27/6 Gaze Estimation Leticia & Gabriel N.
27 29/6 Object ReID (Person & Vehicle) Pedro, Michel & Rayson Laroca
28 01/7 Biometrics Rodrigo & André
04/7 Terça-feira
06/7 Final Quinta-feira

Tópicos

## TÓPICO APRESENTADOR ASSUNTO
3 Background 1 (MLP, LeNet & AlexNet) Eduardo Gobbo ForwardForward :cite:p:`forwardforward:2022`
David Menotti LeNet :cite:p:`lenet:1998`
Leticia Fontanelli AlexNet :cite:p:`alexnet:2012`
4 Background 2 (ResNet, LSTM & ViT) Leonardo Dionisio ResNet :cite:p:`resnet:2016`
Gabriel Nascarella LSTM :cite:p:`lstm:1997`
Pedro Pasqualini Vision-Transformers :cite:p:`vit:2021`
5 Object Classification André Thomal VGGNet :cite:p:`vggnet:2015`
Eduardo Gobbo MobileNet :cite:p:`mobilenet:2017`
Gabriel Pontarolo EfficientNet :cite:p:`efficientnet:2020`
6 Object Detection Leticia Fontanelli Faster R-CNN :cite:p:`od-faster-rcnn:2017`
Rayson Laroca YoloV2 :cite:p:`od-yolo:2017` and newer versions
Gabriel Pontarolo EfficientDet :cite:p:`od-efficientdet:2020`
7 Image Segmentation Leticia Fontanelli Mask R-CNN :cite:p:`seg-maskrcnn:2018`
Felipe Mazur U-Net :cite:p:`seg-unet:2015`
Vinícius Gonçalves IFT :cite:p:`seg-ift-diff:2004`
8 Generative Models Felipe Mazur pix2pix :cite:p:`gm:pix2pix:2017`
Leonardo Dionisio CycleGAN :cite:p:`gm-cyclegan:2017`
Eduardo Gobbo Diffusion :cite:p:`gm-diffusion:2022`
9 Vehicle Identification Sabry Rafrafi Efficient :cite:p:`alpr-efficient:2021`
Eduardo Santos Multi :cite:p:`alpr-multi:2020`
Rayson Laroca Bias :cite:p:`alpr-bias:2022`
10 ALPR-SR Eduardo Santos Multitask :cite:p:`alprsr-multitask:2019`
Gabriel Pontarolo MPRNet :cite:p:`alprsr-mprnet:2021`
Valfride Nascimento Attention & Pixel Shuffle :cite:p:`alprsr-combining:2022`
11 Face Detection Eduardo Santos Viola Jones :cite:p:`fd-viola:2001`
Bernardo Biesseck RetinaFace :cite:p:`fd-retina:2020`
Bernardo Biesseck MTCNN :cite:p:`fn-mtcnn:2016`
12 Face Recognition André Thomal CenterLoss :cite:p:`fr-centerloss:2016`
Gabriel Pontarolo ArcFace :cite:p:`fr-arcface:2019`
Bernardo Biesseck Partial FC :cite:p:`fr-partialfc:2022`
13 Face Recognition 3D Sabry Rafrafi 3D-PointNet++ :cite:p:`fr3d-pointface:2021`
Pedro Pasqualini 3D-PointCloudNet :cite:p:`fr3d-pointcloudnet:2021`
Bernardo Biesseck 3D-BERL :cite:p:`fr3d-3dberl:2022`
14 Face Masked Recognition Felipe Mazur MaskInvArcface :cite:p:`mfr-synthetic:2022`
Sabry Rafrafi MaskInv-Hg :cite:p:`mfr-kd:2021`
Michel Brasil SotA :cite:p:`mfr-sota:2022`
15 Face Recognition SR Eduardo Gobbo Iterative :cite:p:`frsr-iterative:2020`
Pedro Pasqualini SCTANet :cite:p:`frsr-sctanet:2023`
João Picolo DIDNet :cite:p:`frsr-didnet:2021`
16 General Spoofing Rodrigo Saviam Fingerprint :cite:p:`gspf-fingerprint:2021`
Rodrigo Saviam Iris :cite:p:`gspf-iris:2018`
Bruno Kamarowski Voice :cite:p:`gspf-voice:2023`
17 Face Anti-Spoofing (Passive) Sabry Rafrafi FAS-Casia :cite:p:`fas-casia:2012`
Felipe Mazur FAS-ViT :cite:p:`fas-vit:2021`
Raul Almeida FAS-dc-cdn :cite:p:`fas-dc-cdn:2021`
18 Face Anti-Spoofing (Active) Vinícius Gonçalves Distortion :cite:p:`fasa-distortion:2019`
Leonardo Dionizio Reflections :cite:p:`ffasa-reflections:2015`
Bruno Kamarowski Sensor :cite:p:`ffasa-sensor2014`
19 Facial Expression Vinícius Gonçalves Hybrid :cite:p:`fe-hybrid:2021`
Eduardo Santos Synthesis :cite:p:`fe-synthesis:2020`
Vinícius Gonçalves Fusion :cite:p:`fe-fusion:2022`
20 Natural Language Processing Lucas Wojcik Tesseract :cite:p:`docs-tesseract:2007`
Lucas Wojcik Word2Vect :cite:p:`docs-word2vec2` Wordpiece :cite:p:`docs-wordpiece:2016` GloVe :cite:p:`docs-glove:2014`
Lucas Wojcik BERT :cite:p:`docs-bert:2018` família GPT (GPT-1 a 4 e ChatGPT) :cite:p:`docs-gpt:2020`
21 Document Recognition Lucas Wojcik Intellix :cite:p:`er-intellix:2013`
Lucas Wojcik Graph Convolution :cite:p:`er-graphdoc:2022`
Lucas Wojcik ERNIE-Layout :cite:p:`er-ernielayout:2022`
22 Action Recognition Valter Estevam Trajectories :cite:p:`ar-trajectories:2013`
Valter Estevam Kinetics :cite:p:`ar-kinetics:2017`
Valter Estevam InternVideo :cite:p:`ar-internvideo:2022`
23 Reinforcement Learning João Picolo DDPG :cite:p:`rl-ddpg:2020`
Leonardo Dionizio Pedestrian Trajectory :cite:p:`rl-pedestrian:2020`
Gabriel Nascarella Autonomous Driving :cite:p:`rl-driving:2020`
24 Zero Shot Learning Valter Estevam Tell me :cite:p:`zsl-tellme:2021`
Valter Estevam Global Semantic :cite:p:`zsl-global:2022`
Valter Estevam Cezsar :cite:p:`zsl-cezsar:2023`.
25 Pose Estimation Michel Brasil Hourglass :cite:p:`pose-hourglass:2016`
André Thomal OpenPose :cite:p:`pose-openpose:2017`
Raul Almeida Transformers :cite:p:`pose-transformer:2022`
26 Gaze Estimation Leticia Fontanelli MPIIGaze :cite:p:`gaze-mpii:2019`
Gabriel Nascarella Gaze-360 :cite:p:`gaze-360:2019`
Gabriel Nascarella L2CS-Net :cite:p:`gaze-l2csnet:2022`
27 Object ReID (Person & Vehicle) Pedro Pasqualini Person in the Wild :cite:p:`reid-person:2017`
Michel Brasil Person Ensemble :cite:p:`reid-personensemble:2020`
Rayson Laroca Vehicle Large :cite:p:`reid-vehiclelarge:2016`
Rayson Laroca Vehicle Read :cite:p:`reid-vehicleread:2021`
28 Biometrics: Iris, Periocular, Fingerprint Rodrigo Saviam Iris :cite:p:`bio-irina:2017`
Rodrigo Saviam Fingerprint :cite:p:`bio-fingernet:2019`
André Thomal Periocular :cite:p:`bio-ufpr-periocular:2022`
Explainable AI
Satelite Imagery
ImaGen & VideoGen from text
Attack Adversarial

Referências

AHKAH22

Ahmed A. Abdelrahman, Thorsten Hempel, Aly Khalifa, and Ayoub Al-Hamadi. L2cs-net: fine-grained gaze estimation in unconstrained environments. 2022. arXiv:2203.03339.

ADG+22

Xiang An, Jiankang Deng, Jia Guo, Ziyong Feng, XuHan Zhu, Jing Yang, and Tongliang Liu. Killing two birds with one stone: efficient and robust training of face recognition cnns by partial fc. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4042–4051. June 2022.

BLG+23

Qiqi Bao, Yunmeng Liu, Bowen Gang, Wenming Yang, and Qingmin Liao. Sctanet: a spatial attention-guided cnn-transformer aggregation network for deep face image super-resolution. IEEE Transactions on Multimedia, ():1–12, 2023. doi:10.1109/TMM.2023.3238522.

BMR+20

Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. Language models are few-shot learners. CoRR, 2020. URL: https://arxiv.org/abs/2005.14165, arXiv:2005.14165.

CSWS17

Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh. Realtime multi-person 2d pose estimation using part affinity fields. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). July 2017.

CZ17

Joao Carreira and Andrew Zisserman. Quo vadis, action recognition? a new model and the kinetics dataset. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). July 2017.

CPM14

Shaxun Chen, Amit Pande, and Prasant Mohapatra. Sensor-assisted facial recognition: an enhanced biometric authentication system for smartphones. In Proceedings of the 12th annual international conference on Mobile systems, applications, and services, 109–122. 2014.

CLWZ21

Fangfang Cheng, Tao Lu, Yu Wang, and Yanduo Zhang. Face super-resolution through dual-identity constraint. In 2021 IEEE International Conference on Multimedia and Expo (ICME), volume, 1–6. 2021. doi:10.1109/ICME51207.2021.9428360.

CJ21

Tarang Chugh and Anil K. Jain. Fingerprint spoof detector generalization. IEEE Transactions on Information Forensics and Security, 16():42–55, 2021. doi:10.1109/TIFS.2020.2990789.

DGV+20

Jiankang Deng, Jia Guo, Evangelos Ververas, Irene Kotsia, and Stefanos Zafeiriou. Retinaface: single-shot multi-level face localisation in the wild. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). June 2020.

DGXZ19

Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou. Arcface: additive angular margin loss for deep face recognition. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 4690–4699. 2019.

DCLT18

Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. BERT: pre-training of deep bidirectional transformers for language understanding. CoRR, 2018. URL: http://arxiv.org/abs/1810.04805, arXiv:1810.04805.

DBK+21

Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. An image is worth 16x16 words: transformers for image recognition at scale. In International Conference on Learning Representations. 2021. URL: https://openreview.net/forum?id=YicbFdNTTy.

ELMP21

Valter Estevam, Rayson Laroca, David Menotti, and Helio Pedrini. Tell me what you see: a zero-shot action recognition method based on natural language descriptions. 2021. arXiv:2112.09976.

ELPM22

Valter Estevam, Rayson Laroca, Helio Pedrini, and David Menotti. Global semantic descriptors for zero-shot action recognition. IEEE Signal Processing Letters, 29:1843–1847, 2022. URL: https://doi.org/10.1109%2Flsp.2022.3200605, doi:10.1109/lsp.2022.3200605.

ELPM23

Valter Estevam, Rayson Laroca, Helio Pedrini, and David Menotti. Cezsar: a contrastive embedding method for zero-shot action recognition. SSRN, 2023. submitted to Pattern Recognition Letters. URL: http://dx.doi.org/10.2139/ssrn.4333781, doi:10.2139/ssrn.4333781.

FB04

A.X. Falcao and F.P.G. Bergo. Interactive volume segmentation with differential image foresting transforms. IEEE Transactions on Medical Imaging, 23(9):1100–1108, 2004. doi:10.1109/TMI.2004.829335.

GM21

Anjith George and Sébastien Marcel. On the effectiveness of vision transformers for zero-shot face anti-spoofing. In 2021 IEEE International Joint Conference on Biometrics (IJCB), volume, 1–8. 2021. doi:10.1109/IJCB52358.2021.9484333.

GPAM+14

Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial nets. In International Conference on Neural Information Processing Systems (NeurIPS), 2672–2680. 2014.

GLF+09

Alex Graves, Marcus Liwicki, Santiago Fernández, Roman Bertolami, Horst Bunke, and Jürgen Schmidhuber. A novel connectionist system for unconstrained handwriting recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(5):855–868, 2009. doi:10.1109/TPAMI.2008.137.

HGDG18

Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick. Mask r-cnn. 2018. arXiv:1703.06870.

HZRS16

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Deep residual learning for image recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume, 770–778. 2016. doi:10.1109/CVPR.2016.90.

HZSC22

Mingjie He, Jie Zhang, Shiguang Shan, and Xilin Chen. Enhancing face recognition with self-supervised 3d reconstruction. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4062–4071. June 2022.

Hin22

Geoffrey Hinton. The forward-forward algorithm: some preliminary investigations. 2022. arXiv:2212.13345.

HS97

Sepp Hochreiter and Jürgen Schmidhuber. Long Short-Term Memory. Neural Computation, 9(8):1735–1780, 11 1997. doi:10.1162/neco.1997.9.8.1735.

HZC+17

Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam. Mobilenets: efficient convolutional neural networks for mobile vision applications. 2017. arXiv:1704.04861.

HWT+22

Gee-Sern Jison Hsu, Hung-Yi Wu, Chun-Hung Tsai, Svetlana Yanushkevich, and Marina L Gavrilova. Masked face recognition from synthesis to reality. IEEE Access, 2022.

HBKD21

Marco Huber, Fadi Boutros, Florian Kirchbuchner, and Naser Damer. Mask-invariant face recognition through template-level knowledge distillation. In 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), 1–8. IEEE, 2021.

JLC+21

Changyuan Jiang, Shisong Lin, Wei Chen, Feng Liu, and Linlin Shen. Pointface: point set based feature learning for 3d face recognition. In 2021 IEEE International Joint Conference on Biometrics (IJCB), volume, 1–8. 2021. doi:10.1109/IJCB52358.2021.9484368.

JWL+23

Peipei Jiang, Qian Wang, Xiu Lin, Man Zhou, Wenbing Ding, Cong Wang, Chao Shen, and Qi Li. Securing liveness detection for voice authentication via pop noises. IEEE Transactions on Dependable and Secure Computing, 20(2):1702–1718, 2023. doi:10.1109/TDSC.2022.3163024.

KRS+19

Petr Kellnhofer, Adria Recasens, Simon Stent, Wojciech Matusik, and Antonio Torralba. Gaze360: physically unconstrained gaze estimation in the wild. In IEEE International Conference on Computer Vision (ICCV). October 2019.

KSH12

Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. Imagenet classification with deep convolutional neural networks. In F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, editors, Advances in Neural Information Processing Systems 25, pages 1097–1105. Curran Associates, Inc., 2012. URL: http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf.

LBD+89

Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Backpropagation Applied to Handwritten Zip Code Recognition. Neural Computation, 1(4):541–551, 12 1989. URL: https://doi.org/10.1162/neco.1989.1.4.541, doi:10.1162/neco.1989.1.4.541.

LBBH98

Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278–2324, 1998. doi:10.1109/5.726791.

LSN+20

Kunming Li, Mao Shan, Karan Narula, Stewart Worrall, and Eduardo Nebot. Socially aware crowd navigation with multimodal pedestrian trajectory prediction for autonomous vehicles. In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), volume, 1–8. 2020. doi:10.1109/ITSC45102.2020.9294304.

LWL+19

Yan Li, Zilong Wang, Yingjiu Li, Robert H. Deng, Binbin Chen, Weizhi Meng, and Hui Li. A closer look tells more: a facial distortion based liveness detection for face authentication. Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019.

LHM+21

Chang Liu, Kaoru Hirota, Junjie Ma, Zhiyang Jia, and Yaping Dai. Facial Expression Recognition Using Hybrid Features of Pixel and Geometry. IEEE Access, 9:18876–18889, 2021. doi:10.1109/ACCESS.2021.3054332.

LCL22

Kuan-Hsien Liu, Ching-Hsiang Chiu, and Tsung-Jung Liu. Fusion of Triple Attention to Residual in Residual Dense Block to Attention Based CNN for Facial Expression Recognition. In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 1045–1050. October 2022. doi:10.1109/SMC53654.2022.9945323.

LLMF16

Xinchen Liu, Wu Liu, Huadong Ma, and Huiyuan Fu. Large-scale vehicle re-identification in urban surveillance videos. In 2016 IEEE International Conference on Multimedia and Expo (ICME), volume, 1–6. 2016. doi:10.1109/ICME.2016.7553002.

MJR+20

Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu, and Jie Zhou. Deep face super-resolution with iterative collaboration between attentive recovery and landmark estimation. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), volume, 5568–5577. 2020. doi:10.1109/CVPR42600.2020.00561.

MAS21

Armin Mehri, Parichehr B Ardakani, and Angel D Sappa. Mprnet: multi-path residual network for lightweight image super resolution. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2704–2713. 2021.

MCCD13

Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient estimation of word representations in vector space. CoRR, 2013. URL: http://dblp.uni-trier.de/db/journals/corr/corr1301.html#abs-1301-3781.

MSC+13

Tomás Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed representations of words and phrases and their compositionality. CoRR, 2013. URL: http://arxiv.org/abs/1310.4546, arXiv:1310.4546.

MAA19

Shervin Minaee, Elham Azimi, and Amirali Abdolrashidi. Fingernet: pushing the limits of fingerprint recognition using convolutional neural network. 2019. arXiv:1907.12956.

NYD16

Alejandro Newell, Kaiyu Yang, and Jia Deng. Stacked hourglass networks for human pose estimation. In Bastian Leibe, Jiri Matas, Nicu Sebe, and Max Welling, editors, Computer Vision – ECCV 2016, 483–499. Cham, 2016. Springer International Publishing.

PPW+22

Qiming Peng, Yinxu Pan, Wenjin Wang, Bin Luo, Zhenyu Zhang, Zhengjie Huang, Teng Hu, Weichong Yin, Yongfeng Chen, Yin Zhang, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, and Haifeng Wang. Ernie-layout: layout knowledge enhanced pre-training for visually-rich document understanding. 2022. arXiv:2210.06155.

PSM14

Jeffrey Pennington, Richard Socher, and Christopher Manning. GloVe: global vectors for word representation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 1532–1543. Doha, Qatar, October 2014. Association for Computational Linguistics. URL: https://aclanthology.org/D14-1162, doi:10.3115/v1/D14-1162.

PN17

Hugo Proença and João C. Neves. Irina: iris recognition (even) in inaccurately segmented data. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume, 6747–6756. 2017. doi:10.1109/CVPR.2017.714.

RDGF16

J. Redmon, S. Divvala, R. Girshick, and A. Farhadi. You only look once: unified, real-time object detection. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume, 779–788. June 2016. doi:10.1109/CVPR.2016.91.

RF17

J. Redmon and A. Farhadi. YOLO9000: better, faster, stronger. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume, 6517–6525. July 2017. doi:10.1109/CVPR.2017.690.

RBL+22

Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10684–10695. June 2022.

RFB15

Olaf Ronneberger, Philipp Fischer, and Thomas Brox. U-net: convolutional networks for biomedical image segmentation. 2015. arXiv:1505.04597.

SME+13

Daniel Schuster, Klemens Muthmann, Daniel Esser, Alexander Schill, Michael Berger, Christoph Weidling, Kamil Aliyev, and Andreas Hofmeier. Intellix - end-user trained information extraction for document archiving. In Proceedings of the International Conference on Document Analysis and Recognition, ICDAR. 08 2013. doi:10.1109/ICDAR.2013.28.

SWL+22

Dahu Shi, Xing Wei, Liangqi Li, Ye Ren, and Wenming Tan. End-to-end multi-person pose estimation with transformers. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11069–11078. June 2022.

SZ15

Karen Simonyan and Andrew Zisserman. Very deep convolutional networks for large-scale image recognition. In 3rd International Conference on Learning Representations (ICLR 2015), volume, 1–14. 2015. doi:.

SWL15

Daniel F. Smith, Arnold Wiliem, and Brian C. Lovell. Face recognition on consumer devices: reflections on replay attacks. IEEE Transactions on Information Forensics and Security, 10(4):736–745, 2015. doi:10.1109/TIFS.2015.2398819.

Smi07

R. Smith. An overview of the tesseract ocr engine. In Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), volume 2, 629–633. 2007. doi:10.1109/ICDAR.2007.4376991.

SZS+20

Ming Sun, Weiqiang Zhao, Guanghao Song, Zhigen Nie, Xiaojian Han, and Yang Liu. Ddpg-based decision-making strategy of adaptive cruising for heavy vehicles considering stability. IEEE Access, 8():59225–59246, 2020. doi:10.1109/ACCESS.2020.2982702.

TL20

Mingxing Tan and Quoc V. Le. Efficientnet: rethinking model scaling for convolutional neural networks. 2020. arXiv:1905.11946.

VGFuhr+22

Pedro Vidal, Roger Letizke Granada, Gustavo Führ, Vanessa Testoni, and David Menotti. A benchmark on masked face recognition. In Conference on Graphics, Patterns and Images, 1–6. Natal (RN), Brazil, October 2022.

VJ01

P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, volume 1, I–I. 2001. doi:10.1109/CVPR.2001.990517.

WS13

Heng Wang and Cordelia Schmid. Action recognition with improved trajectories. In Proceedings of the IEEE International Conference on Computer Vision (ICCV). December 2013.

WLL+22

Yi Wang, Kunchang Li, Yizhuo Li, Yinan He, Bingkun Huang, Zhiyu Zhao, Hongjie Zhang, Jilan Xu, Yi Liu, Zun Wang, Sen Xing, Guo Chen, Junting Pan, Jiashuo Yu, Yali Wang, Limin Wang, and Yu Qiao. Internvideo: general video foundation models via generative and discriminative learning. 2022. arXiv:2212.03191.

WZLQ16

Yandong Wen, Kaipeng Zhang, Zhifeng Li, and Yu Qiao. A discriminative feature learning approach for deep face recognition. In Bastian Leibe, Jiri Matas, Nicu Sebe, and Max Welling, editors, Computer Vision – ECCV 2016, 499–515. Cham, 2016. Springer International Publishing.

WSC+16

Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, and others. Google's neural machine translation system: bridging the gap between human and machine translation. arXiv preprint arXiv:1609.08144, 2016.

YHC+20

Yan Yan, Ying Huang, Si Chen, Chunhua Shen, and Hanzi Wang. Joint Deep Learning of Facial Expression Synthesis and Recognition. IEEE Transactions on Multimedia, 22(11):2792–2807, November 2020. doi:10.1109/TMM.2019.2962317.

YLLS20

Mang Ye, Xiangyuan Lan, Qingming Leng, and Jianbing Shen. Cross-modality person re-identification via modality-aware collaborative ensemble learning. IEEE Transactions on Image Processing, 29():9387–9399, 2020. doi:10.1109/TIP.2020.2998275.

YQZ+21

Zitong Yu, Yunxiao Qin, Hengshuang Zhao, Xiaobai Li, and Guoying Zhao. Dual-cross central difference network for face anti-spoofing. In Zhi-Hua Zhou, editor, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, 1281–1287. International Joint Conferences on Artificial Intelligence Organization, 8 2021. Main Track. URL: https://doi.org/10.24963/ijcai.2021/177, doi:10.24963/ijcai.2021/177.

ZZLQ16

Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, and Yu Qiao. Joint face detection and alignment using multitask cascaded convolutional networks. IEEE Signal Processing Letters, 23(10):1499–1503, 2016. doi:10.1109/LSP.2016.2603342.

ZSFB19

Xucong Zhang, Yusuke Sugano, Mario Fritz, and Andreas Bulling. Mpiigaze: real-world dataset and deep appearance-based gaze estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(1):162–175, 2019. doi:10.1109/TPAMI.2017.2778103.

ZMD+22

Zhenrong Zhang, Jiefeng Ma, Jun Du, Licheng Wang, and Jianshu Zhang. Multimodal pre-training based on graph attention network for document understanding. 2022. arXiv:2203.13530.

ZYL+12

Zhiwei Zhang, Junjie Yan, Sifei Liu, Zhen Lei, Dong Yi, and Stan Z. Li. A face antispoofing database with diverse attacks. In 2012 5th IAPR International Conference on Biometrics (ICB), volume, 26–31. 2012. doi:10.1109/ICB.2012.6199754.

ZDY22

Ziyu Zhang, Feipeng Da, and Yi Yu. Learning directly from synthetic point clouds for “in-the-wild” 3d face recognition. Pattern Recognition, 123:108394, 2022. doi:https://doi.org/10.1016/j.patcog.2021.108394.

ZZS+17

Liang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Chandraker, Yi Yang, and Qi Tian. Person re-identification in the wild. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume, 3346–3355. 2017. doi:10.1109/CVPR.2017.357.

ZWP+20

Meixin Zhu, Yinhai Wang, Ziyuan Pu, Jingyun Hu, Xuesong Wang, and Ruimin Ke. Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving. Transportation Research Part C: Emerging Technologies, 117:102662, 2020. URL: https://www.sciencedirect.com/science/article/pii/S0968090X20305775, doi:https://doi.org/10.1016/j.trc.2020.102662.

ZZL+18

Hang Zou, Hui Zhang, Xingguang Li, Jing Liu, and Zhaofeng He. Generation textured contact lenses iris images based on 4dcycle-gan. In 2018 24th International Conference on Pattern Recognition (ICPR), volume, 3561–3566. 2018. doi:10.1109/ICPR.2018.8546154.

GonccalvesDinizLaroca+19

G. R. Gonçalves, M. A. Diniz, R. Laroca, D. Menotti, and W. R. Schwartz. Multi-task learning for low-resolution license plate recognition. In Iberoamerican Congress on Pattern Recognition (CIARP), volume, 251–261. Oct 2019. doi:10.1007/978-3-030-33904-3_23.

IsolaZZE17

Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros. Image-to-image translation with conditional adversarial networks. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume, 5967–5976. 2017. doi:10.1109/CVPR.2017.632.

LarocaSantosEstevam+22

R. Laroca, M. Santos, V. Estevam, E. Luz, and D. Menotti. A first look at dataset bias in license plate recognition. In Conference on Graphics, Patterns and Images (SIBGRAPI), volume, 234–239. Oct 2022. doi:10.1109/SIBGRAPI55357.2022.9991768.

LarocaZanlorensiGonccalves+21

R. Laroca, L. A. Zanlorensi, G. R. Gonçalves, E. Todt, W. R. Schwartz, and D. Menotti. An efficient and layout-independent automatic license plate recognition system based on the YOLO detector. IET Intelligent Transport Systems, 15(4):483–503, 2021. doi:10.1049/itr2.12030.

NascimentoLarocaLambert+22

V. Nascimento, R. Laroca, J. A. Lambert, W. R. Schwartz, and D. Menotti. Combining attention module and pixel shuffle for license plate super-resolution. In Conference on Graphics, Patterns and Images (SIBGRAPI), volume, 228–233. Oct 2022. doi:10.1109/SIBGRAPI55357.2022.9991753.

OliveiraLarocaMenotti+21

I. O. Oliveira, R. Laroca, D. Menotti, K. V. O. Fonseca, and R. Minetto. Vehicle-Rear: a new dataset to explore feature fusion for vehicle identification using convolutional neural networks. IEEE Access, 9():101065–101077, 2021. doi:10.1109/ACCESS.2021.3097964.

RenHeGirshickSun17

S. Ren, K. He, R. Girshick, and J. Sun. Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(6):1137–1149, 2017. doi:10.1109/TPAMI.2016.2577031.

TanPL20

Mingxing Tan, Ruoming Pang, and Quoc V. Le. EfficientDet: scalable and efficient object detection. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), volume, 10778–10787. 2020. doi:10.1109/CVPR42600.2020.01079.

WangPZF20

Huibing Wang, Jinjia Peng, Yanzhu Zhao, and Xianping Fu. Multi-path deep CNNs for fine-grained car recognition. IEEE Transactions on Vehicular Technology, 69(10):10484–10493, 2020. doi:10.1109/TVT.2020.3009162.

ZanlorensiLarocaLucio+22

L. A. Zanlorensi, R. Laroca, D. R. Lucio, L. R. Santos, A. S. Britto Jr., and D. Menotti. A new periocular dataset collected by mobile devices in unconstrained scenarios. Scientific Reports, 12():17989, 2022. doi:10.1038/s41598-022-22811-y.

ZhuPIE17

Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A. Efros. Unpaired image-to-image translation using cycle-consistent adversarial networks. In IEEE International Conference on Computer Vision (ICCV), volume, 2242–2251. 2017. doi:10.1109/ICCV.2017.244.

Referências por tópico

Frequência

nome pres1 pres2 pres3 pres4 nfreq média sistema situação frequência faltas
BERNARDO JANKO GONÇALVES BIESSECK 20 20 20 20 20 100 100 aprovado 90% 20/4 25/5 13/6
EDUARDO DOS SANTOS 20 20 20 20 20 100 100 aprovado 93% 04/4 13/6
ANDRÉ GAUER THOMAL 20 20 20 20 20 100 100 aprovado 93% 20/4 27/6
EDUARDO GOBBO WILLI VASCONCELLOS GONÇALVES 20 20 20 20 20 100 100 aprovado 93% 23/5 25/5
FELIPE MAZUR ROMANIUK DE FREITAS 20 20 20 20 0 80 80 aprovado 73% 30/5 06/613/6 15/6 20/6 22/6 27/6 29/6
GABRIEL DE OLIVEIRA PONTAROLO 20 20 20 20 20 100 100 aprovado 93% 25/5 29/6
GABRIEL NASCARELLA HISHIDA DO NASCIMENTO 20 20 20 20 20 100 100 aprovado 97% 27/6
LEONARDO LIMA DIONIZIO 20 20 20 20 20 100 100 aprovado 93% 25/5 22/6
LUCAS MATHEUS LEITE WOJCIK 20 20 20 20 20 100 100 aprovado 90% 04/5 25/5 20/6
MARCUS AUGUSTO FERREIRA DUDEQUE 0 0 0 0 20 20 20 reprovado 13% 23/3 28/3 30/3 04/4 11/4 13/4 18/4 20/4 25/4 27/4 02/5 04/5 09/5 11/5 16/5 18/5 23/5 25/5 30/5 06/613/6 15/6 20/6 22/6 27/6 29/6
MICHEL BRASIL CORDEIRO 20 20 20 0 0 60 60 exame 70% 28/3 30/3 18/4 04/5 11/5 30/5 13/6 20/6 27/6
PEDRO PASQUALINI DE ANDRADE 20 20 20 20 20 100 100 aprovado 90% 13/4 27/4 09/5
RODRIGO SAVIAM SOFFNER 20 20 20 20 20 100 100 aprovado 90% 09/5 06/627/6
SABRY INACIO RAFRAFI 20 20 20 20 20 100 100 aprovado 90% 06/615/6 27/6
LETICIA FONTANELLI STRAUBE DE SOUZA 20 20 20 20 20 100 100 aprovado 97% 13/6
MICHEL DOUGLAS MARTINS DOS SANTOS 0 0 0 0 0 0 0 reprovado 20% 30/3 04/4 11/4 13/4 18/4 20/4 25/4 27/4 02/5 04/5 09/5 11/5 16/5 18/5 23/5 25/5 30/5 06/613/6 15/6 20/6 22/6 27/6 29/6
VINÍCIUS DE LIMA GONÇALVES 20 20 20 20 20 100 100 aprovado 90% 28/3 02/5 27/6