6 papers
Prompt-Based Continual Compositional Zero-Shot Learning
Sauda Maryam, Sara Nadeem, Faisal Qureshi +1
We tackle continual adaptation of vision-language models to new attributes, objects, and their compositions in Compositional Zero-Shot Learning (CZSL), while preventing forgetting…
CascadedViT: Cascaded Chunk-FeedForward and Cascaded Group Attention Vision Transformer
Srivathsan Sivakumar, Faisal Z. Qureshi
Vision Transformers (ViTs) have demonstrated remarkable performance across a range of computer vision tasks; however, their high computational, memory, and energy demands hinder de…
Compositional Zero-Shot Learning: A Survey
Ans Munir, Faisal Z. Qureshi, Mohsen Ali +1
Compositional Zero-Shot Learning (CZSL) is a critical task in computer vision that enables models to recognize unseen combinations of known attributes and objects during inference,…
TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification
Ans Munir, Faisal Z. Qureshi, Muhammad Haris Khan +1
Contrastive Language-Image Pretraining (CLIP) has shown impressive zero-shot performance on image classification. However, state-of-the-art methods often rely on fine-tuning techni…
Attention Based Simple Primitives for Open World Compositional Zero-Shot Learning
Ans Munir, Faisal Z. Qureshi, Muhammad Haris Khan +1
Compositional Zero-Shot Learning (CZSL) aims to predict unknown compositions made up of attribute and object pairs. Predicting compositions unseen during training is a challenging…
Error Estimation for Single-Image Human Body Mesh Reconstruction
Hamoon Jafarian, Faisal Z. Qureshi
Human pose and shape estimation methods continue to suffer in situations where one or more parts of the body are occluded. More importantly, these methods cannot express when their…