Zobrazeno 1 - 10
of 2 164
pro vyhledávání: '"Chen Yi-Ting"'
We study behavior change-based visual risk object identification (Visual-ROI), a critical framework designed to detect potential hazards for intelligent driving systems. Existing methods often show significant limitations in spatial accuracy and temp
Externí odkaz:
http://arxiv.org/abs/2409.15846
We observe that current state-of-the-art (SOTA) methods suffer from the performance imbalance issue when performing multi-task reinforcement learning (MTRL) tasks. While these methods may achieve impressive performance on average, they perform extrem
Externí odkaz:
http://arxiv.org/abs/2406.00761
Autor:
Lee, Yao-Chih, Chen, Yi-Ting, Wang, Andrew, Liao, Ting-Hsuan, Feng, Brandon Y., Huang, Jia-Bin
We introduce VividDream, a method for generating explorable 4D scenes with ambient dynamics from a single input image or text prompt. VividDream first expands an input image into a static 3D point cloud through iterative inpainting and geometry mergi
Externí odkaz:
http://arxiv.org/abs/2405.20334
We study reward models for long-horizon manipulation tasks by learning from action-free videos and language instructions, which we term the visual-instruction correlation (VIC) problem. Recent advancements in cross-modality modeling have highlighted
Externí odkaz:
http://arxiv.org/abs/2405.16545
Autor:
Huang, Benchen, Chen, Yi-Ting, Gupt, Brajesh, Suchara, Martin, Tran, Anh, McArdle, Sam, Galli, Giulia
Solving the electronic structure problem of molecules and solids to high accuracy is a major challenge in quantum chemistry and condensed matter physics. The rapid emergence and development of quantum computers offer a promising route to systematical
Externí odkaz:
http://arxiv.org/abs/2404.18303
Autor:
Yeh, Jia-Fong, Hung, Kuo-Han, Lo, Pang-Chi, Chung, Chi-Ming, Wu, Tsung-Han, Su, Hung-Ting, Chen, Yi-Ting, Hsu, Winston H.
We introduce a new task called Adaptable Error Detection (AED), which aims to identify behavior errors in few-shot imitation (FSI) policies based on visual observations in novel environments. The potential to cause serious damage to surrounding areas
Externí odkaz:
http://arxiv.org/abs/2402.03860
We study the problem of hanging a wide range of grasped objects on diverse supporting items. Hanging objects is a ubiquitous task that is encountered in numerous aspects of our everyday lives. However, both the objects and supporting items can exhibi
Externí odkaz:
http://arxiv.org/abs/2312.04936
Autor:
Kung, Chi-Hsi, Yang, Chieh-Chi, Pao, Pang-Yuan, Lu, Shu-Wei, Chen, Pin-Lun, Lu, Hsin-Cheng, Chen, Yi-Ting
Intelligent driving systems aim to achieve a zero-collision mobility experience, requiring interdisciplinary efforts to enhance safety performance. This work focuses on risk identification, the process of identifying and analyzing risks stemming from
Externí odkaz:
http://arxiv.org/abs/2312.01659
In this paper, we study multi-label atomic activity recognition. Despite the notable progress in action recognition, it is still challenging to recognize atomic activities due to a deficiency in a holistic understanding of both multiple road users' m
Externí odkaz:
http://arxiv.org/abs/2311.17948
Autor:
Tseng, Yuan, Berry, Layne, Chen, Yi-Ting, Chiu, I-Hsiang, Lin, Hsuan-Hao, Liu, Max, Peng, Puyuan, Shih, Yi-Jen, Wang, Hung-Yu, Wu, Haibin, Huang, Po-Yao, Lai, Chun-Mao, Li, Shang-Wen, Harwath, David, Tsao, Yu, Watanabe, Shinji, Mohamed, Abdelrahman, Feng, Chi-Luen, Lee, Hung-yi
Audio-visual representation learning aims to develop systems with human-like perception by utilizing correlation between auditory and visual information. However, current models often focus on a limited set of tasks, and generalization abilities of l
Externí odkaz:
http://arxiv.org/abs/2309.10787