Zobrazeno 1 - 10
of 53 703
pro vyhledávání: '"An, Xiaoxiao"'
Autor:
Ma, Qifei, Jin, Huaizhou, Shang, Xiaoxiao, Pardy, Tamas, Scheler, Ott, Bartkova, Simona, Cojoc, Dan, Garoli, Denis, Jin, Shangzhong
Emulsions are ubiquitous in everyday life and find applications in various industries. Optical tweezers (OTs) have emerged as the preferred method for studying emulsion dynamics. In this review, we first introduce the theory of optical trapping and e
Externí odkaz:
http://arxiv.org/abs/2411.09245
Robots are increasingly deployed in dynamic and crowded environments, such as urban areas and shopping malls, where efficient and robust navigation is crucial. Traditional risk-based motion planning algorithms face challenges in such scenarios due to
Externí odkaz:
http://arxiv.org/abs/2411.00440
Federated learning (FL) is a learning paradigm that enables collaborative training of models using decentralized data. Recently, the utilization of pre-trained weight initialization in FL has been demonstrated to effectively improve model performance
Externí odkaz:
http://arxiv.org/abs/2410.23660
User behavior modeling -- which aims to extract user interests from behavioral data -- has shown great power in Click-through rate (CTR) prediction, a key component in recommendation systems. Recently, attention-based algorithms have become a promisi
Externí odkaz:
http://arxiv.org/abs/2410.15098
To manipulate objects or dance together, humans and robots exchange energy and haptic information. While the exchange of energy in human-robot interaction has been extensively investigated, the underlying exchange of haptic information is not well un
Externí odkaz:
http://arxiv.org/abs/2410.13755
Autor:
Lai, Shuichang, Huang, Letian, Guo, Jie, Cheng, Kai, Pan, Bowen, Long, Xiaoxiao, Lyu, Jiangjing, Lv, Chengfei, Guo, Yanwen
Reconstructing objects from posed images is a crucial and complex task in computer graphics and computer vision. While NeRF-based neural reconstruction methods have exhibited impressive reconstruction ability, they tend to be time-comsuming. Recent s
Externí odkaz:
http://arxiv.org/abs/2410.13349
Autor:
Gu, Songen, Yin, Wei, Jin, Bu, Guo, Xiaoyang, Wang, Junming, Li, Haodong, Zhang, Qian, Long, Xiaoxiao
We propose DOME, a diffusion-based world model that predicts future occupancy frames based on past occupancy observations. The ability of this world model to capture the evolution of the environment is crucial for planning in autonomous driving. Comp
Externí odkaz:
http://arxiv.org/abs/2410.10429
Autor:
Zhu, Xiangru, Sun, Penglei, Song, Yaoxian, Xiao, Yanghua, Li, Zhixu, Wang, Chengyu, Huang, Jun, Yang, Bei, Xu, Xiaoxiao
Accurate interpretation and visualization of human instructions are crucial for text-to-image (T2I) synthesis. However, current models struggle to capture semantic variations from word order changes, and existing evaluations, relying on indirect metr
Externí odkaz:
http://arxiv.org/abs/2410.10291
Autor:
Deng, Wenlong, Zhao, Yize, Vakilian, Vala, Chen, Minghui, Li, Xiaoxiao, Thrampoulidis, Christos
Storing open-source fine-tuned models separately introduces redundancy and increases response times in applications utilizing multiple models. Delta-parameter pruning (DPP), particularly the random drop and rescale (DARE) method proposed by Yu et al.
Externí odkaz:
http://arxiv.org/abs/2410.09344
Autor:
He, Xiaoxiao, Han, Ligong, Dao, Quan, Wen, Song, Bai, Minhao, Liu, Di, Zhang, Han, Min, Martin Renqiang, Juefei-Xu, Felix, Tan, Chaowei, Liu, Bo, Li, Kang, Li, Hongdong, Huang, Junzhou, Ahmed, Faez, Srivastava, Akash, Metaxas, Dimitris
Discrete diffusion models have achieved success in tasks like image generation and masked language modeling but face limitations in controlled content editing. We introduce DICE (Discrete Inversion for Controllable Editing), the first approach to ena
Externí odkaz:
http://arxiv.org/abs/2410.08207