4 papers · 1 filter
SHaSaM: Submodular Hard Sample Mining for Fair Facial Attribute Recognition
Anay Majee, Rishabh Iyer
Deep neural networks often inherit social and demographic biases from annotated data during model training, leading to unfair predictions, especially in the presence of sensitive a…
Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection
Anay Majee, Amitesh Gangrade, Rishabh Iyer
Open-World Object Detection (OWOD) enriches traditional object detectors by enabling continual discovery and integration of unknown objects via human guidance. However, existing OW…
Predicting Brain Responses To Natural Movies With Multimodal LLMs
Cesar Kadir Torrico Villanueva, Jiaxin Cindy Tu, Mihir Tripathy +3
We present MedARC's team solution to the Algonauts 2025 challenge. Our pipeline leveraged rich multimodal representations from various state-of-the-art pretrained models across vid…
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection
Anay Majee, Ryan Sharp, Rishabh Iyer
Confusion and forgetting of object classes have been challenges of prime interest in Few-Shot Object Detection (FSOD). To overcome these pitfalls in metric learning based FSOD tech…