Zobrazeno 1 - 10
of 221 179
pro vyhledávání: '"A. Weng"'
In recent years, 3D parametric animal models have been developed to aid in estimating 3D shape and pose from images and video. While progress has been made for humans, it's more challenging for animals due to limited annotated data. To address this,
Externí odkaz:
http://arxiv.org/abs/2410.03438
Stock market prediction has remained an extremely challenging problem for many decades owing to its inherent high volatility and low information noisy ratio. Existing solutions based on machine learning or deep learning demonstrate superior performan
Externí odkaz:
http://arxiv.org/abs/2410.02241
The merger of binary black holes produces a series of decaying oscillations, during which energy is radiated in gravitational waves. The characteristic signal in the ringdown phase can be described by quasinormal modes (QNMs). In this paper, we inves
Externí odkaz:
http://arxiv.org/abs/2409.20333
Social dynamics in close human interactions pose significant challenges for Human Mesh Estimation (HME), particularly due to the complexity of physical contacts and the scarcity of training data. Addressing these challenges, we introduce a novel data
Externí odkaz:
http://arxiv.org/abs/2410.00309
Autor:
Low, Weng Fei, Lee, Gim Hee
The stark contrast in the design philosophy of an event camera makes it particularly ideal for operating under high-speed, high dynamic range and low-light conditions, where standard cameras underperform. Nonetheless, event cameras still suffer from
Externí odkaz:
http://arxiv.org/abs/2409.17988
The pairing mechanism in an antiferromagnetic (AFM) bosonic $t$-$J$ model is investigated via large-scale density matrix renormalization group calculations. In contrast to the competing orders in the fermionic $t$-$J$ model, we discover that a pair d
Externí odkaz:
http://arxiv.org/abs/2409.15424
Autor:
Kulkarni, Akshay, Weng, Tsui-Wei
We propose a novel and low-cost test-time adversarial defense by devising interpretability-guided neuron importance ranking methods to identify neurons important to the output classes. Our method is a training-free approach that can significantly imp
Externí odkaz:
http://arxiv.org/abs/2409.15190
In recent years, there has been an increased interest in tools that establish \emph{incorrectness} rather than correctness of program properties. In this work we build on this approach by developing a novel methodology to prove incorrectness of \emph
Externí odkaz:
http://arxiv.org/abs/2409.13896
Autor:
Song, Ziyin, Yang, A. Z., Jiang, Yi, Fang, Zhong, Yang, Jian, Fang, Chen, Weng, Hongming, Liu, Zheng-Xin
Spin-space groups (SSGs), including the traditional space groups (SGs) and magnetic space groups (MSGs) as subsets, describe the complete symmetries of magnetic materials with weak spin-orbit coupling (SOC). In the present work, we systematically stu
Externí odkaz:
http://arxiv.org/abs/2409.13601
To solve the problem of lateral and logitudinal joint decision-making of multi-vehicle cooperative driving for connected and automated vehicles (CAVs), this paper proposes a Monte Carlo tree search (MCTS) method with parallel update for multi-agent M
Externí odkaz:
http://arxiv.org/abs/2409.13783