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Ricardo Guerrero
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Publications
- 2023
- [c27]Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic:
D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation. WACV 2023: 22-31 - 2022
- [c26]Minyoung Kim, Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic:
Variational Continual Proxy-Anchor for Deep Metric Learning. AISTATS 2022: 4552-4573 - [i18]Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic:
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation. CoRR abs/2212.01376 (2022) - 2021
- [c24]Hai Xuan Pham, Ricardo Guerrero, Vladimir Pavlovic, Jiatong Li:
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. AAAI 2021: 2423-2430 - [c23]Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic:
Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN. BMVC 2021: 318 - [c22]Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic:
Learning Disentangled Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. ACM Multimedia 2021: 2862-2870 - [c21]Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic:
Cross-modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Subspace Learning. ACM Multimedia 2021: 3192-3201 - [i17]Hai Xuan Pham, Ricardo Guerrero, Jiatong Li, Vladimir Pavlovic:
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. CoRR abs/2102.02547 (2021) - [i16]Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic:
Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN. CoRR abs/2110.11830 (2021) - 2020
- [c19]Jiatong Li, Fangda Han, Ricardo Guerrero, Vladimir Pavlovic:
Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images. ICPR 2020: 10343-10350 - [c18]Fangda Han, Ricardo Guerrero, Vladimir Pavlovic:
CookGAN: Meal Image Synthesis from Ingredients. WACV 2020: 1439-1447 - [i15]Fangda Han, Ricardo Guerrero, Vladimir Pavlovic:
CookGAN: Meal Image Synthesis from Ingredients. CoRR abs/2002.11493 (2020) - [i14]Jiatong Li, Fangda Han, Ricardo Guerrero, Vladimir Pavlovic:
Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images. CoRR abs/2010.08727 (2020) - [i13]Minyoung Kim, Ricardo Guerrero, Vladimir Pavlovic:
Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach. CoRR abs/2012.00682 (2020) - [i12]Ricardo Guerrero, Hai Xuan Pham, Vladimir Pavlovic:
Cross-modal Retrieval and Synthesis (X-MRS): Closing the modality gap in shared subspace. CoRR abs/2012.01345 (2020) - [i11]Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic:
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs. CoRR abs/2012.02821 (2020) - 2019
- [c16]Jiatong Li, Ricardo Guerrero, Vladimir Pavlovic:
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images. MADiMa @ ACM Multimedia 2019: 2-6 - [i9]Fangda Han, Ricardo Guerrero, Vladimir Pavlovic:
The Art of Food: Meal Image Synthesis from Ingredients. CoRR abs/1905.13149 (2019) - [i8]Jiatong Li, Ricardo Guerrero, Vladimir Pavlovic:
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images. CoRR abs/1910.00100 (2019)
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