Zobrazeno 1 - 10
of 29 408
pro vyhledávání: '"Feng, Chen"'
Autor:
Feng, Chen, Zhuo, Shaojie, Zhang, Xiaopeng, Ramakrishnan, Ramchalam Kinattinkara, Yuan, Zhaocong, Li, Andrew Zou
Continuously adapting pre-trained models to local data on resource constrained edge devices is the $\emph{last mile}$ for model deployment. However, as models increase in size and depth, backpropagation requires a large amount of memory, which become
Externí odkaz:
http://arxiv.org/abs/2411.04036
Autor:
Clock, International, Networking, Oscillator, Collaboration, Amy-Klein, Anne, Benkler, Erik, Blondé, Pascal, Bongs, Kai, Cantin, Etienne, Chardonnet, Christian, Denker, Heiner, Dörscher, Sören, Feng, Chen-Hao, Gaudron, Jacques-Olivier, Gill, Patrick, Hill, Ian R, Huang, Wei, Johnson, Matthew Y H, Kale, Yogeshwar B, Katori, Hidetoshi, Klose, Joshua, Kronjäger, Jochen, Kuhl, Alexander, Targat, Rodolphe Le, Lisdat, Christian, Lopez, Olivier, Lücke, Tim, Mazouth, Maxime, Mukherjee, Shambo, Nosske, Ingo, Pointard, Benjamin, Pottie, Paul-Eric, Schioppo, Marco, Singh, Yeshpal, Stahl, Kilian, Takamoto, Masao, Tønnes, Mads, Tunesi, Jacob, Ushijima, Ichiro, Vishwakarma, Chetan
Optical clocks have improved their frequency stability and estimated accuracy by more than two orders of magnitude over the best caesium microwave clocks that realise the SI second. Accordingly, an optical redefinition of the second has been widely d
Externí odkaz:
http://arxiv.org/abs/2410.22973
Visual place recognition (VPR) enables autonomous robots to identify previously visited locations, which contributes to tasks like simultaneous localization and mapping (SLAM). VPR faces challenges such as accurate image neighbor retrieval and appear
Externí odkaz:
http://arxiv.org/abs/2410.21615
Autor:
Chen, Renguang, Zheng, Guolong, Yang, Xu, Chen, Zhide, Shu, Jiwu, Yang, Wencheng, Zhu, Kexin, Feng, Chen
The growing popularity of online sports and exercise necessitates effective methods for evaluating the quality of online exercise executions. Previous action quality assessment methods, which relied on labeled scores from motion videos, exhibited sli
Externí odkaz:
http://arxiv.org/abs/2410.14161
A proper scene representation is central to the pursuit of spatial intelligence where agents can robustly reconstruct and efficiently understand 3D scenes. A scene representation is either metric, such as landmark maps in 3D reconstruction, 3D boundi
Externí odkaz:
http://arxiv.org/abs/2410.11187
Recent advancements in brain-computer interfaces (BCIs) have enabled the decoding of lexical tones from intracranial recordings, offering the potential to restore the communication abilities of speech-impaired tonal language speakers. However, data h
Externí odkaz:
http://arxiv.org/abs/2410.12866
Vision Language Models (VLMs) have recently been adopted in robotics for their capability in common sense reasoning and generalizability. Existing work has applied VLMs to generate task and motion planning from natural language instructions and simul
Externí odkaz:
http://arxiv.org/abs/2410.08792
Autor:
Fang, Irving, Shi, Kairui, He, Xujin, Tan, Siqi, Wang, Yifan, Zhao, Hanwen, Huang, Hung-Jui, Yuan, Wenzhen, Feng, Chen, Zhang, Jing
Humans effortlessly integrate common-sense knowledge with sensory input from vision and touch to understand their surroundings. Emulating this capability, we introduce FusionSense, a novel 3D reconstruction framework that enables robots to fuse prior
Externí odkaz:
http://arxiv.org/abs/2410.08282
Rollups have emerged as a promising approach to improving blockchains' scalability by offloading transactions execution off-chain. Existing rollup solutions either leverage complex zero-knowledge proofs or optimistically assume execution correctness
Externí odkaz:
http://arxiv.org/abs/2409.14647
The proliferation of blockchain-backed cryptocurrencies has sparked the need for cross-chain exchanges of diverse digital assets. Unfortunately, current exchanges suffer from high on-chain verification costs, weak threat models of central trusted par
Externí odkaz:
http://arxiv.org/abs/2409.14640