Mimics: A large-scale data collection for search clarification H Zamani, G Lueck, E Chen, R Quispe, F Luu, N Craswell Proceedings of the 29th ACM international conference on information …, 2020 | 73 | 2020 |
Improved person re-identification based on saliency and semantic parsing with deep neural network models R Quispe, H Pedrini Image and Vision Computing 92, 103809, 2019 | 64 | 2019 |
Top-db-net: Top dropblock for activation enhancement in person re-identification R Quispe, H Pedrini 2020 25th International conference on pattern recognition (ICPR), 2980-2987, 2021 | 56 | 2021 |
AttributeNet: Attribute enhanced vehicle re-identification R Quispe, C Lan, W Zeng, H Pedrini Neurocomputing 465, 84-92, 2021 | 30 | 2021 |
Where are the people? a multi-stream convolutional neural network for crowd counting via density map from complex images D Ttito, R Quispe, AR Rivera, H Pedrini 2019 International Conference on Systems, Signals and Image Processing …, 2019 | 6 | 2019 |
Multi-Stream Networks and Ground Truth Generation for Crowd Counting R Quispe, D Ttito, A Rivera, H Pedrini International journal of electrical and computer engineering systems 11 (1 …, 2020 | 3 | 2020 |
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks R Tang, G Lueck, R Quispe, HA Inan, J Kulkarni, X Hu arXiv preprint arXiv:2310.13291, 2023 | 2 | 2023 |
AReID: Rethinking Re-Identification and Occlusions for Multi-Object Tracking R Quispe, C Lan, Z Zhang, H Pedrini 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
Uso de Técnicas de machine learning para la clasificación de imágenes de danzas típicas del Cusco ER Quispe Condori Universidad Nacional de San Antonio Abad del Cusco, 2017 | | 2017 |
Privacy Analysis in Large Language Models: Did Your Model Memorize My Information? R Tang, G Lueck, R Quispe, HA Inan, J Kulkarni, X Hu | | |