3 citations · 3 across the 4 of their papers we have counts for
5 papers
Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI
Kairos Team, Fei Wang, Shan You +21
We introduce \textbf{Kairos}, a regret-aware native world-action model stack for Physical AI. Kairos is motivated by the view that a physical world model should not aim to fully si…
Text2Traffic: A Text-to-Image Generation and Editing Method for Traffic Scenes
Feng Lv, Haoxuan Feng, Zilu Zhang +2
With the rapid advancement of intelligent transportation systems, text-driven image generation and editing techniques have demonstrated significant potential in providing rich, con…
RT-DATR: Real-time Unsupervised Domain Adaptive Detection Transformer with Adversarial Feature Alignment
Feng Lv, Guoqing Li, Jin Li +1
Despite domain-adaptive object detectors based on CNN and transformers have made significant progress in cross-domain detection tasks, it is regrettable that domain adaptation for…
RT-DETRv3: Real-time End-to-End Object Detection with Hierarchical Dense Positive Supervision
Shuo Wang, Chunlong Xia, Feng Lv +1
RT-DETR is the first real-time end-to-end transformer-based object detector. Its efficiency comes from the framework design and the Hungarian matching. However, compared to dense s…
ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions
Chunlong Xia, Xinliang Wang, Feng Lv +2
Although Vision Transformer (ViT) has achieved significant success in computer vision, it does not perform well in dense prediction tasks due to the lack of inner-patch information…