activity
20182023
most citedLSTM-Based Goal Recognition in Latent Space

10 citations · 18 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2023★ 2 cited

FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data

Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +44

Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must…

cs.LG2020★ 1 cited

Imitating Unknown Policies via Exploration

Nathan Gavenski, Juarez Monteiro, Roger Granada +2

Behavioral cloning is an imitation learning technique that teaches an agent how to behave through expert demonstrations. Recent approaches use self-supervision of fully-observable…

cs.AI2020

Augmented Behavioral Cloning from Observation

Juarez Monteiro, Nathan Gavenski, Roger Granada +2

Imitation from observation is a computational technique that teaches an agent on how to mimic the behavior of an expert by observing only the sequence of states from the expert dem…

cs.AI2020★ 1 cited

HAPRec: Hybrid Activity and Plan Recognizer

Roger Granada, Ramon Fraga Pereira, Juarez Monteiro +4

Computer-based assistants have recently attracted much interest due to its applicability to ambient assisted living. Such assistants have to detect and recognize the high-level act…

cs.CL2019

Classifying Norm Conflicts using Learned Semantic Representations

João Paulo Aires, Roger Granada, Juarez Monteiro +2

While most social norms are informal, they are often formalized by companies in contracts to regulate trades of goods and services. When poorly written, contracts may contain norma…

cs.CL2018★ 4 cited

Evaluating the Complementarity of Taxonomic Relation Extraction Methods Across Different Languages

Roger Granada, Renata Vieira, Cassia Trojahn +1

Modern information systems are changing the idea of "data processing" to the idea of "concept processing", meaning that instead of processing words, such systems process semantic c…