activity
20182024
most citedSAC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG20242 cited

SAC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic

Safa Messaoud, Billel Mokeddem, Zhenghai Xue +4

Learning expressive stochastic policies instead of deterministic ones has been proposed to achieve better stability, sample complexity, and robustness. Notably, in Maximum Entropy…

cs.LG2022

A3T: Accuracy Aware Adversarial Training

Enes Altinisik, Safa Messaoud, Husrev Taha Sencar +1

Adversarial training has been empirically shown to be more prone to overfitting than standard training. The exact underlying reasons still need to be fully understood. In this pape…

cs.CV2021

DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization

Safa Messaoud, Ismini Lourentzou, Assma Boughoula +4

The recent growth of web video sharing platforms has increased the demand for systems that can efficiently browse, retrieve and summarize video content. Query-aware multi-video sum…

cs.CV2020

Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?

Safa Messaoud, Maghav Kumar, Alexander G. Schwing

Combinatorial optimization is frequently used in computer vision. For instance, in applications like semantic segmentation, human pose estimation and action recognition, programs a…

cs.CV2018

Structural Consistency and Controllability for Diverse Colorization

Safa Messaoud, David Forsyth, Alexander G. Schwing

Colorizing a given gray-level image is an important task in the media and advertising industry. Due to the ambiguity inherent to colorization (many shades are often plausible), rec…