SimCMF: A Simple Cross-modal Fine-tuning Strategy from Vision Foundation Models to Any Imaging Modality
arXiv, 2024
A simple and effective framework to study the transferability from vision foundation models trained on natural RGB images to other image modalities with different physical properties (e.g., polarization).
Vision-Language-Camera: Introducing Vision Language Models for Unleashing the Power of Camera Manual Mode
In submission, 2024
The Vision-Language-Camera Model (VLC) introduces vision-language models to camera manual mode, offering guidance on how to adjust camera parameters tailored to the user's needs.
FIRM: Flexible Interactive Reflection ReMoval
AAAI, 2024
A framework for flexible interactive reflection removal with various forms of guidance, where users provide sparse visual guidance (points, boxes, or strokes) or text descriptions for better reflection removal.
Deep Video Prior for Video Consistency and Propagation
TPAMI, 2022
We extend the deep video prior (NeurIPS 2020) to video propagation and improve its training efficiency.
Blind Video Temporal Consistency via Deep Video Prior
NeurIPS, 2020
A novel and general approach for blind temporal video consistency, addressing the inconsistency that arises when image processing algorithms are applied per-frame.
Video Depth Estimation by Fusing Flow-to-Depth Proposals
IROS, 2020
An approach with a differentiable flow-to-depth layer for video depth estimation.
Polarized Reflection Removal with Perfect Alignment in the Wild
CVPR, 2020
Polarization information and perfect alignment are utilized to remove reflection accurately.
Fully Automatic Video Colorization with Self Regularization and Diversity
CVPR, 2019
The first dedicated video colorization method without any user input.