19 citations · 37 across the 10 of their papers we have counts for
10 papers
Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data
Abdulrahman Kerim, Leandro Soriano Marcolino, Erickson R. Nascimento +1
Supervised machine learning methods require large-scale training datasets to perform well in practice. Synthetic data has been showing great progress recently and has been used as…
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino +2
Cooperative multi-agent reinforcement learning (c-MARL) is widely applied in safety-critical scenarios, thus the analysis of robustness for c-MARL models is profoundly important. H…
Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach
Abdulrahman Kerim, Felipe Chamone, Washington Ramos +3
Recent semantic segmentation models perform well under standard weather conditions and sufficient illumination but struggle with adverse weather conditions and nighttime. Collectin…
Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions
Abdulrahman Kerim, Washington L. S. Ramos, Leandro Soriano Marcolino +2
Video stabilization plays a central role to improve videos quality. However, despite the substantial progress made by these methods, they were, mainly, tested under standard weathe…
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models
Ronghui Mu, Wenjie Ruan, Leandro S. Marcolino +1
3D point cloud models are widely applied in safety-critical scenes, which delivers an urgent need to obtain more solid proofs to verify the robustness of models. Existing verificat…
Congestion control algorithms for robotic swarms with a common target based on the throughput of the target area
Yuri Tavares dos Passos, Xavier Duquesne, Leandro Soriano Marcolino
When a large number of robots try to reach a common area, congestions happen, causing severe delays. To minimise congestion in a robotic swarm system, traffic control algorithms mu…
On the throughput of the common target area for robotic swarm strategies -- extended version
Yuri Tavares dos Passos, Xavier Duquesne, Leandro Soriano Marcolino
A robotic swarm may encounter traffic congestion when many robots simultaneously attempt to reach the same area. For solving that efficiently, robots must execute decentralised tra…
Sparse Adversarial Video Attacks with Spatial Transformations
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino +1
In recent years, a significant amount of research efforts concentrated on adversarial attacks on images, while adversarial video attacks have seldom been explored. We propose an ad…
The paradox of productivity during quarantine: an agent-based simulation
Peter Hardy, Leandro Soriano Marcolino, José F. Fontanari
Economies across the globe were brought to their knees due to lockdowns and social restriction measures to contain the spread of the SARS-CoV-2, despite the quick switch to remote…
Straight to the Point: Fast-forwarding Videos via Reinforcement Learning Using Textual Data
Washington Ramos, Michel Silva, Edson Araujo +2
The rapid increase in the amount of published visual data and the limited time of users bring the demand for processing untrimmed videos to produce shorter versions that convey the…