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of 318
pro vyhledávání: '"Chen, Haosheng"'
Contrastive Language-Image Pre-Training (CLIP) has shown impressive performance in short-term Person Re-Identification (ReID) due to its ability to extract high-level semantic features of pedestrians, yet its direct application to Cloth-Changing Pers
Externí odkaz:
http://arxiv.org/abs/2406.09198
Event-based approaches, which are based on bio-inspired asynchronous event cameras, have achieved promising performance on various computer vision tasks. However, the study of the fundamental event data association problem is still in its infancy. In
Externí odkaz:
http://arxiv.org/abs/2110.12962
Publikováno v:
In International Journal of Plasticity February 2024 173
Publikováno v:
In Journal of Alloys and Compounds 25 January 2024 972
Publikováno v:
ACM MM Asia2019
In recent years, Convolutional Neural Network (CNN) based trackers have achieved state-of-the-art performance on multiple benchmark datasets. Most of these trackers train a binary classifier to distinguish the target from its background. However, the
Externí odkaz:
http://arxiv.org/abs/2011.04260
Publikováno v:
ACM Multimedia 2020
Video object detection is a tough task due to the deteriorated quality of video sequences captured under complex environments. Currently, this area is dominated by a series of feature enhancement based methods, which distill beneficial semantic infor
Externí odkaz:
http://arxiv.org/abs/2009.07498
Publikováno v:
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI '20). 2020, New York, USA. AAAI, New York, NY, USA
Event cameras, which are asynchronous bio-inspired vision sensors, have shown great potential in computer vision and artificial intelligence. However, the application of event cameras to object-level motion estimation or tracking is still in its infa
Externí odkaz:
http://arxiv.org/abs/2002.05911
Publikováno v:
Proceedings of the 27th ACM International Conference on Multimedia (MM '19). 2019, Nice, France. ACM, New York, NY, USA
Event cameras, which are asynchronous bio-inspired vision sensors, have shown great potential in a variety of situations, such as fast motion and low illumination scenes. However, most of the event-based object tracking methods are designed for scena
Externí odkaz:
http://arxiv.org/abs/2002.05583
Autor:
Fang, Boshi, Yang, Wenming, Li, Jiang, Liang, Shuaishuai, Wang, Yiming, Xu, Chunlin, Wang, Xin, Chen, Haosheng
Publikováno v:
In Materials Today Communications December 2023 37
Publikováno v:
In Ceramics International 15 November 2023 49(22) Part B:37024-37033