19 citations · 37 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…