Results 101 to 110 of about 4,796 (232)

Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities

Computer Graphics Forum, EarlyView.
Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev, L. Bastian, D. Cao, N. El Amrani, P. Roetzer, V. Ehm, R. Marin, H. Nishizawa, S. Morishima, C. Theobalt, N. Navab, D. Cremers, F. Bernard, Z. Lähner, V. Golyanik   +14 more
wiley   +1 more source

Establishing Shape Correspondences: A Survey

Computer Graphics Forum, EarlyView.
Abstract Shape correspondence between surfaces in 3D is a central problem in geometry processing, concerned with establishing meaningful relations between surfaces. While all correspondence problems share this goal, specific formulations can differ significantly: Downstream applications require certain properties that correspondences must satisfy ...
A. Heuschling, H. Meinhold, L. Kobbelt
wiley   +1 more source

Unambiguous acquisition algorithm based on sub‐correlation functions combination for semi‐integer CPM signals

Electronics Letters
Due to the nonlinear nature of continuous phase modulation (CPM), most existing unambiguous acquisition algorithms are ineffective in eliminating the ambiguity threat faced by semi‐integer CPM signals.
Mingming Xie, Rui Xue
doaj   +1 more source

ReTrace: Interactive Visualizations for Reasoning Traces of Large Reasoning Models

Computer Graphics Forum, EarlyView.
Abstract Recent advances in Large Language Models have led to Large Reasoning Models, which produce step‐by‐step reasoning traces. Such traces may offer insight into how models think, improving explainability and clarifying the underlying process. These traces, however, are often verbose and complex, making them cognitively demanding to comprehend ...
L. Felder, J. Miller, M. Wallinger, S. G. Kobourov, C. Chen   +4 more
wiley   +1 more source

The Story(line) So Far: A Survey on Storyline Visualization

Computer Graphics Forum, EarlyView.
Abstract Storyline visualizations model narratives as temporal networks, using x‐monotone lines to represent entities and their interactions over time. This technique offers an intuitive way to reveal structural patterns over time, such as character co‐occurrence and narrative flow.
S. Di Bartolomeo, A. Dobler, V. Filipov, M. Nöllenburg, H. Ehlers   +4 more
wiley   +1 more source

Orbit and clock products for quad-system satellites with undifferenced ambiguity fixing approach

Satellite Navigation
Integer Ambiguity Resolution (IAR) can significantly improve the accuracy of GNSS Precise Orbit Determination (POD). Traditionally, the IAR in POD is achieved at the Double Differenced (DD) level.
Jiaqi Wu, Xingxing Li, Yongqiang Yuan, Keke Zhang, Xin Li, Jiaqing Lou, Yun Xiong   +6 more
doaj   +1 more source

A Unified Deep Learning Framework for Instance Segmentation Across Diverse Cytological Stains

Cytopathology, EarlyView.
Transformer‐based unified cytology segmentation across Papanicolaou, Feulgen and AgNOR achieves stain‐invariant performance. Mask2Former maximises boundary precision (AP75) on the combined dataset, enabling one model to replace multiple stain‐specific deployments without accuracy loss while simplifying clinical integration.
Luís Otávio Santos, Rodrigo de Paula E. Silva Ribeiro, Bibiana Quatrin Tiellet, Laura Maria Effting Silva, Fabiana Botelho de Miranda Onofre, Alexandre Sherlley Casimiro Onofre, Aldo von Wangenheim   +6 more
wiley   +1 more source

Do Banks Learn From Natural Disasters? Evidence From the U.S. Financial Sector

European Financial Management, EarlyView.
ABSTRACT This paper examines whether U.S. banks learn from natural disasters. We explore several potential channels of adjustment and find that exposed banks primarily respond by adopting precautionary capital measures. This behaviour is evident both in the long run, when assessing divergent trends in the evolution of equity over time, and in the short
Dennis Dreusch, Gunnar Niemann, Peter Reichling   +2 more
wiley   +1 more source

From Regression to Reasoning: Predicting M&A Announcement Returns With Large Language Models

European Financial Management, EarlyView.
ABSTRACT This study investigates whether large language models (LLMs) can predict short‐term market reactions to M&A announcements. We prompt OpenAI's latest reasoning models (o3, GPT‐5, and GPT‐5.1) to forecast whether the combined market value of acquirer and target will increase or decrease, drawing on deal‐, firm‐, and macroeconomic data for large ...
Maximilian Schreiter, Aldrik Struve, Maximilian Uhle   +2 more
wiley   +1 more source

Precise Point Positioning Integer Ambiguity Resolution with Decoupled Clocks

, 2012
Precise Point Positioning (PPP) integer ambiguity resolution has been a challenging topic during the past five years. So far, three PPP integer ambiguity resolution methods – the singledifference between satellites method, the decoupled clock model and the integer phase clock model – have been developed. By using integer ambiguity resolution in PPP, cm-
openaire   +2 more sources