3 papers
cs.CV2026
Do Transformers Understand Ancient Roman Coin Motifs Better than CNNs?
David Reid, Ognjen Arandjelovic
Automated analysis of ancient coins has the potential to help researchers extract more historical insights from large collections of coins and to help collectors understand what th…
cs.CL2024
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads
Avelina Asada Hadji-Kyriacou, Ognjen Arandjelovic
Pre-trained Language Models (LMs) exhibit strong zero-shot and in-context learning capabilities; however, their behaviors are often difficult to control. By utilizing Reinforcement…
cs.CV2024
Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes
Yifei Qian, Xiaopeng Hong, Zhongliang Guo +2
To alleviate the heavy annotation burden for training a reliable crowd counting model and thus make the model more practicable and accurate by being able to benefit from more data,…