7 papers
A Preliminary Study on GPT-Image Generation Model for Image Restoration
Hao Yang, Yan Yang, Ruikun Zhang +1
Recent advances in OpenAI's GPT-series multimodal generation models have shown remarkable capabilities in producing visually compelling images. In this work, we investigate its pot…
From Spots to Pixels: Dense Spatial Gene Expression Prediction from Histology Images
Ruikun Zhang, Yan Yang, Liyuan Pan
Spatial transcriptomics (ST) measures gene expression at fine-grained spatial resolution, offering insights into tissue molecular landscapes. Previous methods for spatial gene expr…
ProBench: Judging Multimodal Foundation Models on Open-ended Multi-domain Expert Tasks
Yan Yang, Dongxu Li, Haoning Wu +4
Solving expert-level multimodal tasks is a key milestone towards general intelligence. As the capabilities of multimodal large language models (MLLMs) continue to improve, evaluati…
EZSR: Event-based Zero-Shot Recognition
Yan Yang, Liyuan Pan, Dongxu Li +1
This paper studies zero-shot object recognition using event camera data. Guided by CLIP, which is pre-trained on RGB images, existing approaches achieve zero-shot object recognitio…
SpikMamba: When SNN meets Mamba in Event-based Human Action Recognition
Jiaqi Chen, Yan Yang, Shizhuo Deng +2
Human action recognition (HAR) plays a key role in various applications such as video analysis, surveillance, autonomous driving, robotics, and healthcare. Most HAR algorithms are…
LMHaze: Intensity-aware Image Dehazing with a Large-scale Multi-intensity Real Haze Dataset
Ruikun Zhang, Hao Yang, Yan Yang +2
Image dehazing has drawn a significant attention in recent years. Learning-based methods usually require paired hazy and corresponding ground truth (haze-free) images for training.…