most citedDetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception

3 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.SR2024

Statistics of Solar White-Light Flares I: Optimization of Identification Methods and Application

Yingjie Cai, Yijun Hou, Ting Li +1

White-light flares (WLFs) are energetic activity in stellar atmosphere. However, the observed solar WLF is relatively rare compared to stellar WLFs or solar flares observed at othe…

cs.CV20243 cited

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception

Yibo Wang, Ruiyuan Gao, Kai Chen +8

Current perceptive models heavily depend on resource-intensive datasets, prompting the need for innovative solutions. Leveraging recent advances in diffusion models, synthetic data…

cs.CV20243 cited

Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities

Xu Yan, Haiming Zhang, Yingjie Cai +13

The rise of large foundation models, trained on extensive datasets, is revolutionizing the field of AI. Models such as SAM, DALL-E2, and GPT-4 showcase their adaptability by extrac…

cs.CV20232 cited

NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space

Jiawei Yao, Chuming Li, Keqiang Sun +4

Monocular 3D Semantic Scene Completion (SSC) has garnered significant attention in recent years due to its potential to predict complex semantics and geometry shapes from a single…

cs.CV2023

FeatAug-DETR: Enriching One-to-Many Matching for DETRs with Feature Augmentation

Rongyao Fang, Peng Gao, Aojun Zhou +4

One-to-one matching is a crucial design in DETR-like object detection frameworks. It enables the DETR to perform end-to-end detection. However, it also faces challenges of lacking…