41 citations · 78 across the 18 of their papers we have counts for
24 papers
HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models
Yu Xue, Haoxuan Qu, Zhuoling Li +5
Training-free text-to-high-resolution image generation has recently attracted growing research attention. However, existing studies on this task primarily focus on adapting off-the…
Transforming Future Data Center Operations and Management via Physical AI
Zhiwei Cao, Minghao Li, Feng Lin +4
Data centers (DCs) as mission-critical infrastructures are pivotal in powering the growth of artificial intelligence (AI) and the digital economy. The evolution from Internet DC to…
Unified Locomotion Transformer with Simultaneous Sim-to-Real Transfer for Quadrupeds
Dikai Liu, Tianwei Zhang, Jianxiong Yin +1
Quadrupeds have gained rapid advancement in their capability of traversing across complex terrains. The adoption of deep Reinforcement Learning (RL), transformers and various knowl…
Enhancing Modality Representation and Alignment for Multimodal Cold-start Active Learning
Meng Shen, Yake Wei, Jianxiong Yin +3
Training multimodal models requires a large amount of labeled data. Active learning (AL) aim to reduce labeling costs. Most AL methods employ warm-start approaches, which rely on s…
Masked Sensory-Temporal Attention for Sensor Generalization in Quadruped Locomotion
Dikai Liu, Tianwei Zhang, Jianxiong Yin +1
With the rising focus on quadrupeds, a generalized policy capable of handling different robot models and sensor inputs becomes highly beneficial. Although several methods have been…
Learning Gabor Texture Features for Fine-Grained Recognition
Lanyun Zhu, Tianrun Chen, Jianxiong Yin +2
Extracting and using class-discriminative features is critical for fine-grained recognition. Existing works have demonstrated the possibility of applying deep CNNs to exploit featu…