Zobrazeno 1 - 10
of 1 112
pro vyhledávání: '"Nguyen, Binh P."'
Accurate insect pest recognition plays a critical role in agriculture. It is a challenging problem due to the intricate characteristics of insects. In this paper, we present DeWi, novel learning assistance for insect pest classification. With a one-s
Externí odkaz:
http://arxiv.org/abs/2409.10445
Autor:
Jha, Debesh, Tomar, Nikhil Kumar, Sharma, Vanshali, Trinh, Quoc-Huy, Biswas, Koushik, Pan, Hongyi, Jha, Ritika K., Durak, Gorkem, Hann, Alexander, Varkey, Jonas, Dao, Hang Viet, Van Dao, Long, Nguyen, Binh Phuc, Pham, Khanh Cong, Tran, Quang Trung, Papachrysos, Nikolaos, Rieders, Brandon, Schmidt, Peter Thelin, Geissler, Enrik, Berzin, Tyler, Halvorsen, Pål, Riegler, Michael A., de Lange, Thomas, Bagci, Ulas
Colonoscopy is the primary method for examination, detection, and removal of polyps. Regular screening helps detect and prevent colorectal cancer at an early curable stage. However, challenges such as variation among the endoscopists' skills, bowel q
Externí odkaz:
http://arxiv.org/abs/2409.00045
Federated Class-Incremental Learning (FCIL) increasingly becomes important in the decentralized setting, where it enables multiple participants to collaboratively train a global model to perform well on a sequence of tasks without sharing their priva
Externí odkaz:
http://arxiv.org/abs/2407.11078
Autor:
Le, Hoang H., Nguyen, Duy M. H., Bhatti, Omair Shahzad, Kopacsi, Laszlo, Ngo, Thinh P., Nguyen, Binh T., Barz, Michael, Sonntag, Daniel
Comprehending how humans process visual information in dynamic settings is crucial for psychology and designing user-centered interactions. While mobile eye-tracking systems combining egocentric video and gaze signals can offer valuable insights, man
Externí odkaz:
http://arxiv.org/abs/2406.06239
Physics informed neural networks have been gaining popularity due to their unique ability to incorporate physics laws into data-driven models, ensuring that the predictions are not only consistent with empirical data but also align with domain-specif
Externí odkaz:
http://arxiv.org/abs/2406.05108
Learning conditional distributions is challenging because the desired outcome is not a single distribution but multiple distributions that correspond to multiple instances of the covariates. We introduce a novel neural entropic optimal transport meth
Externí odkaz:
http://arxiv.org/abs/2406.02317
Autor:
Tran, Hoai-Chau, Nguyen, Duy M. H., Nguyen, Duy M., Nguyen, Trung-Tin, Le, Ngan, Xie, Pengtao, Sonntag, Daniel, Zou, James Y., Nguyen, Binh T., Niepert, Mathias
Increasing the throughput of the Transformer architecture, a foundational component used in numerous state-of-the-art models for vision and language tasks (e.g., GPT, LLaVa), is an important problem in machine learning. One recent and effective strat
Externí odkaz:
http://arxiv.org/abs/2405.16148
This technical description details the design and engineering process of a semi-autonomous robotic partition. This robotic partition prototype was subsequently employed in a longer-term evaluation in-the-wild study conducted by the authors in a real-
Externí odkaz:
http://arxiv.org/abs/2403.16613
This positional paper outlines our vision of 'adaptive architecture', which involves the integration of robotic technology to physically change an architectural space in supporting the changing needs of its occupants, in response to the CHI'24 worksh
Externí odkaz:
http://arxiv.org/abs/2403.16600
Autor:
Moere, Andrew Vande, Arko, Sara, Drasilova, Alena Safrova, Ondráček, Tomáš, Pigliautile, Ilaria, Pioppi, Benedetta, Pisello, Anna Laura, Prochazka, Jakub, Roncancio, Paula Acuna, Schaumann, Davide, Schweiker, Marcel, Nguyen, Binh Vinh Duc
As the academic consortia members of the EU Horizon project SONATA ("Situation-aware OrchestratioN of AdapTive Architecture"), we respond to the workshop call for "Office Wellbeing by Design: Don't Stand for Anything Less" by proposing the "Adaptive
Externí odkaz:
http://arxiv.org/abs/2403.16595