Zobrazeno 1 - 10
of 42 994
pro vyhledávání: '"Lee, In Hee"'
Autor:
Low, Weng Fei, Lee, Gim Hee
The stark contrast in the design philosophy of an event camera makes it particularly ideal for operating under high-speed, high dynamic range and low-light conditions, where standard cameras underperform. Nonetheless, event cameras still suffer from
Externí odkaz:
http://arxiv.org/abs/2409.17988
Concept-based XAI (C-XAI) approaches to explaining neural vision models are a promising field of research, since explanations that refer to concepts (i.e., semantically meaningful parts in an image) are intuitive to understand and go beyond saliency-
Externí odkaz:
http://arxiv.org/abs/2409.13456
This paper proposes a versatile graph-based lifelong localization framework, LiLoc, which enhances its timeliness by maintaining a single central session while improves the accuracy through multi-modal factors between the central and subsidiary sessi
Externí odkaz:
http://arxiv.org/abs/2409.10172
We introduce a novel method to simultaneously perform variable selection and estimation in the joint frailty model of recurrent and terminal events using the Broken Adaptive Ridge Regression penalty. The BAR penalty can be summarized as an iterativel
Externí odkaz:
http://arxiv.org/abs/2409.00291
Autor:
Binici, Kuluhan, Aggarwal, Shivam, Acar, Cihan, Pham, Nam Trung, Leman, Karianto, Lee, Gim Hee, Mitra, Tulika
Knowledge distillation (KD) is a key element in neural network compression that allows knowledge transfer from a pre-trained teacher model to a more compact student model. KD relies on access to the training dataset, which may not always be fully ava
Externí odkaz:
http://arxiv.org/abs/2408.13850
Inferring step-wise actions to assemble 3D objects with primitive bricks from images is a challenging task due to complex constraints and the vast number of possible combinations. Recent studies have demonstrated promising results on sequential LEGO
Externí odkaz:
http://arxiv.org/abs/2407.15648
Autor:
Soltanifar, Mohsen, Lee, Chel Hee, Shirazi, Amin, Behnke, Martha, Raymond-Loher, Ilfra, Dagne, Getachew A.
The precise calculation of sample sizes is a crucial aspect in the design of clinical trials particularly for pharmaceutical statisticians. While various R statistical software packages have been developed by researchers to estimate required sample s
Externí odkaz:
http://arxiv.org/abs/2407.11342
Can emergent language models faithfully model the intelligence of decision-making agents? Though modern language models exhibit already some reasoning ability, and theoretically can potentially express any probable distribution over tokens, it remain
Externí odkaz:
http://arxiv.org/abs/2406.18505
The use of synthetic data in indoor 3D object detection offers the potential of greatly reducing the manual labor involved in 3D annotations and training effective zero-shot detectors. However, the complicated domain shifts across syn-to-real indoor
Externí odkaz:
http://arxiv.org/abs/2406.11311
The field of self-supervised 3D representation learning has emerged as a promising solution to alleviate the challenge presented by the scarcity of extensive, well-annotated datasets. However, it continues to be hindered by the lack of diverse, large
Externí odkaz:
http://arxiv.org/abs/2406.11283