3 citations · 8 across the 15 of their papers we have counts for
4 papers · 1 filter
Advancing Perception in Artificial Intelligence through Principles of Cognitive Science
Palaash Agrawal, Cheston Tan, Heena Rathore
Although artificial intelligence (AI) has achieved many feats at a rapid pace, there still exist open problems and fundamental shortcomings related to performance and resource effi…
DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners
Clarence Lee, M Ganesh Kumar, Cheston Tan
State-of-the-art visual grounding models can achieve high detection accuracy, but they are not designed to distinguish between all objects versus only certain objects of interest.…
STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning
Palaash Agrawal, Haidi Azaman, Cheston Tan
Understanding relations between objects is crucial for understanding the semantics of a visual scene. It is also an essential step in order to bridge visual and language models. Ho…
Compositional Learning of Visually-Grounded Concepts Using Reinforcement
Zijun Lin, Haidi Azaman, M Ganesh Kumar +1
Children can rapidly generalize compositionally-constructed rules to unseen test sets. On the other hand, deep reinforcement learning (RL) agents need to be trained over millions o…