Zobrazeno 1 - 10
of 1 202
pro vyhledávání: '"Chen, Zixuan"'
Autor:
Chen, Zixuan, He, Xialin, Wang, Yen-Jen, Liao, Qiayuan, Ze, Yanjie, Li, Zhongyu, Sastry, S. Shankar, Wu, Jiajun, Sreenath, Koushil, Gupta, Saurabh, Peng, Xue Bin
Reinforcement learning combined with sim-to-real transfer offers a general framework for developing locomotion controllers for legged robots. To facilitate successful deployment in the real world, smoothing techniques, such as low-pass filters and sm
Externí odkaz:
http://arxiv.org/abs/2410.11825
Autor:
Ze, Yanjie, Chen, Zixuan, Wang, Wenhao, Chen, Tianyi, He, Xialin, Yuan, Ying, Peng, Xue Bin, Wu, Jiajun
Humanoid robots capable of autonomous operation in diverse environments have long been a goal for roboticists. However, autonomous manipulation by humanoid robots has largely been restricted to one specific scene, primarily due to the difficulty of a
Externí odkaz:
http://arxiv.org/abs/2410.10803
Robots' ability to follow language instructions and execute diverse 3D tasks is vital in robot learning. Traditional imitation learning-based methods perform well on seen tasks but struggle with novel, unseen ones due to variability. Recent approache
Externí odkaz:
http://arxiv.org/abs/2409.20154
Generative Steganography (GS) is a novel technique that utilizes generative models to conceal messages without relying on cover images. Contemporary GS algorithms leverage the powerful generative capabilities of Diffusion Models (DMs) to create high-
Externí odkaz:
http://arxiv.org/abs/2409.04878
Autor:
Chen, Zixuan, Liu, Xuandong, Li, Minglin, Hu, Yinfan, Mei, Hao, Xing, Huifeng, Wang, Hao, Shi, Wanxin, Liu, Sen, Xu, Yang
Parameter Server (PS) and Ring-AllReduce (RAR) are two widely utilized synchronization architectures in multi-worker Deep Learning (DL), also referred to as Distributed Deep Learning (DDL). However, PS encounters challenges with the ``incast'' issue,
Externí odkaz:
http://arxiv.org/abs/2407.19721
Sparse-view computed tomography (SVCT) reconstruction aims to acquire CT images based on sparsely-sampled measurements. It allows the subjects exposed to less ionizing radiation, reducing the lifetime risk of developing cancers. Recent researches emp
Externí odkaz:
http://arxiv.org/abs/2406.14976
Text-to-3D generation aims to create 3D assets from text-to-image diffusion models. However, existing methods face an inherent bottleneck in generation quality because the widely-used objectives such as Score Distillation Sampling (SDS) inappropriate
Externí odkaz:
http://arxiv.org/abs/2406.14964
Given a relation and a ranking of its tuples, but no information about the ranking function, we propose RankExplain to solve 2 types of problems: SAT asks if any linear scoring function can exactly reproduce the given ranking. OPT identifies the line
Externí odkaz:
http://arxiv.org/abs/2406.11797
Autor:
Liu, Minghuan, Chen, Zixuan, Cheng, Xuxin, Ji, Yandong, Qiu, Ri-Zhao, Yang, Ruihan, Wang, Xiaolong
We study the problem of mobile manipulation using legged robots equipped with an arm, namely legged loco-manipulation. The robot legs, while usually utilized for mobility, offer an opportunity to amplify the manipulation capabilities by conducting wh
Externí odkaz:
http://arxiv.org/abs/2403.16967
We analyze a general problem in a crowd-sourced setting where one user asks a question (also called item) and other users return answers (also called labels) for this question. Different from existing crowd sourcing work which focuses on finding the
Externí odkaz:
http://arxiv.org/abs/2401.00013