Zobrazeno 1 - 10
of 17 123
pro vyhledávání: '"An, Ziyan"'
Autor:
Lou, Ange, Planche, Benjamin, Gao, Zhongpai, Li, Yamin, Luan, Tianyu, Ding, Hao, Zheng, Meng, Chen, Terrence, Wu, Ziyan, Noble, Jack
Numerous recent approaches to modeling and re-rendering dynamic scenes leverage plane-based explicit representations, addressing slow training times associated with models like neural radiance fields (NeRF) and Gaussian splatting (GS). However, merel
Externí odkaz:
http://arxiv.org/abs/2410.14169
Autor:
Wang, Bin, Choudhuri, Anwesa, Zheng, Meng, Gao, Zhongpai, Planche, Benjamin, Deng, Andong, Liu, Qin, Chen, Terrence, Bagci, Ulas, Wu, Ziyan
Interactive segmentation aims to accurately segment target objects with minimal user interactions. However, current methods often fail to accurately separate target objects from the background, due to a limited understanding of order, the relative de
Externí odkaz:
http://arxiv.org/abs/2410.12214
Autor:
Chen, Jiacheng, Liang, Tianhao, Siu, Sherman, Wang, Zhengqing, Wang, Kai, Wang, Yubo, Ni, Yuansheng, Zhu, Wang, Jiang, Ziyan, Lyu, Bohan, Jiang, Dongfu, He, Xuan, Liu, Yuan, Hu, Hexiang, Yue, Xiang, Chen, Wenhu
We present MEGA-Bench, an evaluation suite that scales multimodal evaluation to over 500 real-world tasks, to address the highly heterogeneous daily use cases of end users. Our objective is to optimize for a set of high-quality data samples that cove
Externí odkaz:
http://arxiv.org/abs/2410.10563
Autor:
Peng, Qucheng, Planche, Benjamin, Gao, Zhongpai, Zheng, Meng, Choudhuri, Anwesa, Chen, Terrence, Chen, Chen, Wu, Ziyan
Recent advancements in 3D reconstruction methods and vision-language models have propelled the development of multi-modal 3D scene understanding, which has vital applications in robotics, autonomous driving, and virtual/augmented reality. However, cu
Externí odkaz:
http://arxiv.org/abs/2410.07577
Embedding models have been crucial in enabling various downstream tasks such as semantic similarity, information retrieval, and clustering. Recently, there has been a surge of interest in developing universal text embedding models that can generalize
Externí odkaz:
http://arxiv.org/abs/2410.05160
Novel view synthesis has advanced significantly with the development of neural radiance fields (NeRF) and 3D Gaussian splatting (3DGS). However, achieving high quality without compromising real-time rendering remains challenging, particularly for phy
Externí odkaz:
http://arxiv.org/abs/2410.04974
Sexual harassment has been recognized as a significant social issue. In recent years, the emergence of harassment in social virtual reality (VR) has become an important and urgent research topic. We employed a mixed-methods approach by conducting onl
Externí odkaz:
http://arxiv.org/abs/2410.01585
The Circular Electron Positron Collider (CEPC) is a future Higgs factory to measure the Higgs boson properties. Like the other future experiments, the simulation software plays a crucial role in CEPC for detector designs, algorithm optimization and p
Externí odkaz:
http://arxiv.org/abs/2409.19714
Graph Neural Networks (GNNs) have recently achieved significant success, with a key operation involving the aggregation of information from neighboring nodes. Substantial researchers have focused on defining neighbors for aggregation, predominantly b
Externí odkaz:
http://arxiv.org/abs/2409.14001
Reward models (RM) capture the values and preferences of humans and play a central role in Reinforcement Learning with Human Feedback (RLHF) to align pretrained large language models (LLMs). Traditionally, training these models relies on extensive hu
Externí odkaz:
http://arxiv.org/abs/2409.06903