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pro vyhledávání: '"Chen, Liyi"'
Autor:
Lei, Chenyang, Chen, Liyi, Cen, Jun, Chen, Xiao, Lei, Zhen, Heide, Felix, Liu, Ziwei, Chen, Qifeng, Zhang, Zhaoxiang
Foundation models like ChatGPT and Sora that are trained on a huge scale of data have made a revolutionary social impact. However, it is extremely challenging for sensors in many different fields to collect similar scales of natural images to train s
Externí odkaz:
http://arxiv.org/abs/2409.08083
3D object detection is an indispensable component for scene understanding. However, the annotation of large-scale 3D datasets requires significant human effort. To tackle this problem, many methods adopt weakly supervised 3D object detection that est
Externí odkaz:
http://arxiv.org/abs/2407.13748
Text-based 2D diffusion models have demonstrated impressive capabilities in image generation and editing. Meanwhile, the 2D diffusion models also exhibit substantial potentials for 3D editing tasks. However, how to achieve consistent edits across mul
Externí odkaz:
http://arxiv.org/abs/2406.17396
Collaborative filtering methods based on graph neural networks (GNNs) have witnessed significant success in recommender systems (RS), capitalizing on their ability to capture collaborative signals within intricate user-item relationships via message-
Externí odkaz:
http://arxiv.org/abs/2403.17416
Autor:
Yuan, Yifei, Shi, Chen, Wang, Runze, Chen, Liyi, Hu, Renjun, Zhang, Zengming, Jiang, Feijun, Lam, Wai
Generative query rewrite generates reconstructed query rewrites using the conversation history while rely heavily on gold rewrite pairs that are expensive to obtain. Recently, few-shot learning is gaining increasing popularity for this task, whereas
Externí odkaz:
http://arxiv.org/abs/2403.11873
Weakly supervised instance segmentation using only bounding box annotations has recently attracted much research attention. Most of the current efforts leverage low-level image features as extra supervision without explicitly exploiting the high-leve
Externí odkaz:
http://arxiv.org/abs/2303.08578
The task of query rewrite aims to convert an in-context query to its fully-specified version where ellipsis and coreference are completed and referred-back according to the history context. Although much progress has been made, less efforts have been
Externí odkaz:
http://arxiv.org/abs/2210.12775
Autor:
Zeng, Xiaona *, Wang, Ruonan *, Tang, Shengqiu, Dong, Xiaoying, Liao, Liqin *, Chen, Sheng *, kong, Jie *, Chen, Liyi *, Li, Yajuan *, Shao, Guanming *, Zhang, Xinheng *, Wong, Yung Hou, Xie, Qingmei *
Publikováno v:
In Poultry Science August 2024 103(8)
Publikováno v:
In Brain Stimulation May-June 2024 17(3):648-659
Publikováno v:
In Phytochemistry May 2024 221