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most citedSoccerNet 2023 Challenges Results

28 citations · 58 across the 12 of their papers we have counts for

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cs.CV2025

Enriching Knowledge Distillation with Cross-Modal Teacher Fusion

Amir M. Mansourian, Amir Mohammad Babaei, Shohreh Kasaei

Multi-teacher knowledge distillation (KD), a more effective technique than traditional single-teacher methods, transfers knowledge from expert teachers to a compact student model u…

cs.CV2025

No Concept Left Behind: Test-Time Optimization for Compositional Text-to-Image Generation

Mohammad Hossein Sameti, Amir M. Mansourian, Arash Marioriyad +3

Despite recent advances in text-to-image (T2I) models, they often fail to faithfully render all elements of complex prompts, frequently omitting or misrepresenting specific objects…

cs.CV2025

A Comprehensive Survey on Knowledge Distillation

Amir M. Mansourian, Rozhan Ahmadi, Masoud Ghafouri +8

Deep Neural Networks (DNNs) have achieved notable performance in the fields of computer vision and natural language processing with various applications in both academia and indust…

cs.CV2024★ 1 cited

SoccerNet 2024 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +81

The SoccerNet 2024 challenges represent the fourth annual video understanding challenges organized by the SoccerNet team. These challenges aim to advance research across multiple t…

cs.CV2024

Improving Weakly-supervised Video Instance Segmentation by Leveraging Spatio-temporal Consistency

Farnoosh Arefi, Amir M. Mansourian, Shohreh Kasaei

The performance of Video Instance Segmentation (VIS) methods has improved significantly with the advent of transformer networks. However, these networks often face challenges in tr…

cs.CV2024★ 2 cited

SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap

Vladimir Somers, Victor Joos, Anthony Cioppa +11

Tracking and identifying athletes on the pitch holds a central role in collecting essential insights from the game, such as estimating the total distance covered by players or unde…