6 papers
URMF: Uncertainty-aware Robust Multimodal Fusion for Multimodal Sarcasm Detection
Zhenyu Wang, Weichen Cheng, Weijia Li +3
Multimodal sarcasm detection (MSD) aims to identify sarcastic intent from semantic incongruity between text and image. Although recent methods have improved MSD through cross-modal…
Earth-Agent: Unlocking the Full Landscape of Earth Observation with Agents
Peilin Feng, Zhutao Lv, Junyan Ye +8
Earth observation (EO) is essential for understanding the evolving states of the Earth system. Although recent MLLMs have advanced EO research, they still lack the capability to ta…
OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data
Fengxiang Wang, Mingshuo Chen, Xuming He +15
Existing benchmarks for multimodal learning in Earth science offer limited, siloed coverage of Earth's spheres and their cross-sphere interactions, typically restricting evaluation…
RealGen: Photorealistic Text-to-Image Generation via Detector-Guided Rewards
Junyan Ye, Leiqi Zhu, Yuncheng Guo +7
With the continuous advancement of image generation technology, advanced models such as GPT-Image-1 and Qwen-Image have achieved remarkable text-to-image consistency and world know…
Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation
Junyan Ye, Dongzhi Jiang, Zihao Wang +9
Recently, GPT-4o has garnered significant attention for its strong performance in image generation, yet open-source models still lag behind. Several studies have explored distillin…
LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection
Weijia Li, Guanglei Chu, Jiong Chen +3
Recent advances in industrial anomaly detection have highlighted the need for deeper logical anomaly analysis, where unexpected relationships among objects, counts, and spatial con…