1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Evaluating the Generation of Spatial Relations in Text and Image Generative Models
Shang Hong Sim, Clarence Lee, Alvin Tan +1
Understanding spatial relations is a crucial cognitive ability for both humans and AI. While current research has predominantly focused on the benchmarking of text-to-image (T2I) m…
cs.CV2023
Tackling VQA with Pretrained Foundation Models without Further Training
Alvin De Jun Tan, Bingquan Shen
Large language models (LLMs) have achieved state-of-the-art results in many natural language processing tasks. They have also demonstrated ability to adapt well to different tasks…
cs.CV2023
Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset
Alvin De Jun Tan, Clement Tan, Chai Kiat Yeo
Contrastive learning has shown to learn better quality representations than models trained using cross-entropy loss. They also transfer better to downstream datasets from different…