Zobrazeno 1 - 10
of 418
pro vyhledávání: '"Kot, Alex C."'
Autor:
Bao, Peijun, Kot, Alex C.
This paper presents SimBase, a simple yet effective baseline for temporal video grounding. While recent advances in temporal grounding have led to impressive performance, they have also driven network architectures toward greater complexity, with a r
Externí odkaz:
http://arxiv.org/abs/2411.07945
Person Re-identification (Person ReID) has advanced significantly in fully supervised and domain generalized Person R e ID. However, methods developed for one task domain transfer poorly to the other. An ideal Person ReID method should be effective r
Externí odkaz:
http://arxiv.org/abs/2410.08466
Supervised Person Re-identification (Person ReID) methods have achieved excellent performance when training and testing within one camera network. However, they usually suffer from considerable performance degradation when applied to different camera
Externí odkaz:
http://arxiv.org/abs/2410.08456
Person Re-identification (Person ReID) has progressed to a level where single-domain supervised Person ReID performance has saturated. However, such methods experience a significant drop in performance when trained and tested across different dataset
Externí odkaz:
http://arxiv.org/abs/2410.08460
Visible and Infrared Image Fusion (VIF) has garnered significant interest across a wide range of high-level vision tasks, such as object detection and semantic segmentation. However, the evaluation of VIF methods remains challenging due to the absenc
Externí odkaz:
http://arxiv.org/abs/2410.06811
Autor:
Kong, Chenqi, Luo, Anwei, Bao, Peijun, Li, Haoliang, Wan, Renjie, Zheng, Zengwei, Rocha, Anderson, Kot, Alex C.
Open-set face forgery detection poses significant security threats and presents substantial challenges for existing detection models. These detectors primarily have two limitations: they cannot generalize across unknown forgery domains and inefficien
Externí odkaz:
http://arxiv.org/abs/2408.12791
Autor:
Guo, Laniqng, Wang, Chong, Wang, Yufei, Yu, Yi, Huang, Siyu, Yang, Wenhan, Kot, Alex C., Wen, Bihan
Shadow removal aims at restoring the image content within shadow regions, pursuing a uniform distribution of illumination that is consistent between shadow and non-shadow regions. {Comparing to other image restoration tasks, there are two unique chal
Externí odkaz:
http://arxiv.org/abs/2407.08865
Ensuring data privacy and protection has become paramount in the era of deep learning. Unlearnable examples are proposed to mislead the deep learning models and prevent data from unauthorized exploration by adding small perturbations to data. However
Externí odkaz:
http://arxiv.org/abs/2406.17349
Though Multi-modal Large Language Models (MLLMs) have recently achieved significant progress, they often face various problems while handling inter-object relations, i.e., the interaction or association among distinct objects. This constraint largely
Externí odkaz:
http://arxiv.org/abs/2406.09121
Recently, 3D Gaussian Splatting (3DGS) has become a promising framework for novel view synthesis, offering fast rendering speeds and high fidelity. However, the large number of Gaussians and their associated attributes require effective compression t
Externí odkaz:
http://arxiv.org/abs/2405.20721