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pro vyhledávání: '"Lam, P Y"'
Recent advancements in 3D Gaussian Splatting (3D-GS) have demonstrated the potential of using 3D Gaussian primitives for high-speed, high-fidelity, and cost-efficient novel view synthesis from continuously calibrated input views. However, conventiona
Externí odkaz:
http://arxiv.org/abs/2412.11579
Autor:
Yang, Yunhan, Huang, Yukun, Guo, Yuan-Chen, Lu, Liangjun, Wu, Xiaoyang, Lam, Edmund Y., Cao, Yan-Pei, Liu, Xihui
3D part segmentation is a crucial and challenging task in 3D perception, playing a vital role in applications such as robotics, 3D generation, and 3D editing. Recent methods harness the powerful Vision Language Models (VLMs) for 2D-to-3D knowledge di
Externí odkaz:
http://arxiv.org/abs/2411.07184
In June 2022, the Gaia mission released a catalog of astrometric orbital solutions for 168,065 binary systems, by far the largest such catalog to date. Unlike previous binary stars catalogs, which were heterogeneous collections of orbits from differe
Externí odkaz:
http://arxiv.org/abs/2411.00654
Autor:
Liu, Bo, Zhan, Liming, Feng, Yujie, Lu, Zexin, Xie, Chengqiang, Xue, Lei, Lam, Albert Y. S., Wu, Xiao-Ming
In the realm of task-oriented dialogue systems, a robust intent detection mechanism must effectively handle malformed utterances encountered in real-world scenarios. This study presents a novel fine-tuning framework for large language models (LLMs) a
Externí odkaz:
http://arxiv.org/abs/2409.11114
Autor:
Feng, Yujie, Liu, Bo, Dong, Xiaoyu, Lu, Zexin, Zhan, Li-Ming, Lam, Albert Y. S., Wu, Xiao-Ming
An ideal dialogue system requires continuous skill acquisition and adaptation to new tasks while retaining prior knowledge. Dialogue State Tracking (DST), vital in these systems, often involves learning new services and confronting catastrophic forge
Externí odkaz:
http://arxiv.org/abs/2408.09846
In the intensive care unit, the capability to predict the need for mechanical ventilation (MV) facilitates more timely interventions to improve patient outcomes. Recent works have demonstrated good performance in this task utilizing machine learning
Externí odkaz:
http://arxiv.org/abs/2407.15885
Computational neuromorphic imaging (CNI) with event cameras offers advantages such as minimal motion blur and enhanced dynamic range, compared to conventional frame-based methods. Existing event-based radiance field rendering methods are built on neu
Externí odkaz:
http://arxiv.org/abs/2407.11343
Recent research has demonstrated the feasibility of training efficient intent detectors based on pre-trained language model~(PLM) with limited labeled data. However, deploying these detectors in resource-constrained environments such as mobile device
Externí odkaz:
http://arxiv.org/abs/2407.09943
Neuromorphic imaging is an emerging technique that imitates the human retina to sense variations in dynamic scenes. It responds to pixel-level brightness changes by asynchronous streaming events and boasts microsecond temporal precision over a high d
Externí odkaz:
http://arxiv.org/abs/2407.05764
Autor:
Abbott, Madeline R., Dempsey, Walter H., Nahum-Shani, Inbal, Potter, Lindsey N., Wetter, David W., Lam, Cho Y., Taylor, Jeremy M. G.
The availability of mobile health (mHealth) technology has enabled increased collection of intensive longitudinal data (ILD). ILD have potential to capture rapid fluctuations in outcomes that may be associated with changes in the risk of an event. Ho
Externí odkaz:
http://arxiv.org/abs/2405.00179