MMFM23
* *Workshop on Foundation Models: Foundation Model Challenge
* ClipCrop: Conditioned Cropping Driven by Vision-Language Model
* Coarse to Fine Frame Selection for Online Open-ended Video Question Answering
* Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts
* Interaction-Aware Prompting for Zero-Shot Spatio-Temporal Action Detection
* Painter: Teaching Auto-regressive Language Models to Draw Sketches
* Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models
* Towards an Exhaustive Evaluation of Vision-Language Foundation Models
* Video Attribute Prototype Network: A New Perspective for Zero-Shot Video Classification
* Video-and-Language (VidL) models and their cognitive relevance
10 for MMFM23