2 citations · 4 across the 13 of their papers we have counts for
13 papers
Dynamic Training-Free Fusion of Subject and Style LoRAs
Qinglong Cao, Yuntian Chen, Chao Ma +1
Recent studies have explored the combination of multiple LoRAs to simultaneously generate user-specified subjects and styles. However, most existing approaches fuse LoRA weights us…
Learning Domain Knowledge in Multimodal Large Language Models through Reinforcement Fine-Tuning
Qinglong Cao, Yuntian Chen, Chao Ma +1
Multimodal large language models (MLLMs) have shown remarkable capabilities in multimodal perception and understanding tasks. However, their effectiveness in specialized domains, s…
Latent Knowledge-Guided Video Diffusion for Scientific Phenomena Generation from a Single Initial Frame
Qinglong Cao, Xirui Li, Ding Wang +3
Video diffusion models have achieved impressive results in natural scene generation, yet they struggle to generalize to scientific phenomena such as fluid simulations and meteorolo…
Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics
Junyi Cao, Shanyan Guan, Yanhao Ge +3
While humans effortlessly discern intrinsic dynamics and adapt to new scenarios, modern AI systems often struggle. Current methods for visual grounding of dynamics either use pure…
Open-Vocabulary Remote Sensing Image Semantic Segmentation
Qinglong Cao, Yuntian Chen, Chao Ma +1
Open-vocabulary image semantic segmentation (OVS) seeks to segment images into semantic regions across an open set of categories. Existing OVS methods commonly depend on foundation…
SaccadeDet: A Novel Dual-Stage Architecture for Rapid and Accurate Detection in Gigapixel Images
Wenxi Li, Ruxin Zhang, Haozhe Lin +3
The advancement of deep learning in object detection has predominantly focused on megapixel images, leaving a critical gap in the efficient processing of gigapixel images. These su…
Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research
Qinglong Cao, Yuntian Chen, Lu Lu +4
Large-scale Vision-Language Models (VLMs) have demonstrated exceptional performance in natural vision tasks, motivating researchers across domains to explore domain-specific VLMs.…
Monocular Identity-Conditioned Facial Reflectance Reconstruction
Xingyu Ren, Jiankang Deng, Yuhao Cheng +5
Recent 3D face reconstruction methods have made remarkable advancements, yet there remain huge challenges in monocular high-quality facial reflectance reconstruction. Existing meth…
Vision-Informed Flow Image Super-Resolution with Quaternion Spatial Modeling and Dynamic Flow Convolution
Qinglong Cao, Zhengqin Xu, Chao Ma +2
Flow image super-resolution (FISR) aims at recovering high-resolution turbulent velocity fields from low-resolution flow images. Existing FISR methods mainly process the flow image…
VidToMe: Video Token Merging for Zero-Shot Video Editing
Xirui Li, Chao Ma, Xiaokang Yang +1
Diffusion models have made significant advances in generating high-quality images, but their application to video generation has remained challenging due to the complexity of tempo…
Domain Prompt Learning with Quaternion Networks
Qinglong Cao, Zhengqin Xu, Yuntian Chen +2
Prompt learning has emerged as an effective and data-efficient technique in large Vision-Language Models (VLMs). However, when adapting VLMs to specialized domains such as remote s…
Domain-Controlled Prompt Learning
Qinglong Cao, Zhengqin Xu, Yuntian Chen +2
Large pre-trained vision-language models, such as CLIP, have shown remarkable generalization capabilities across various tasks when appropriate text prompts are provided. However,…
Reflection Invariance Learning for Few-shot Semantic Segmentation
Qinglong Cao, Yuntian Chen, Chao Ma +1
Few-shot semantic segmentation (FSS) aims to segment objects of unseen classes in query images with only a few annotated support images. Existing FSS algorithms typically focus on…