Scenic: A Jax Library for Computer Vision Research and Beyond

[CVPR 2022] PointCLIP: Point Cloud Understanding by CLIP

Learning to compose soft prompts for compositional zero-shot learning.

Robust fine-tuning of zero-shot models

[CVPR 2023] Improving Zero-shot Generalization and Robustness of Multi-modal Models

【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adaptation with Text and Image Augmentation

[ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without Forgetting".

Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]

[ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.

Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"

[ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP