Results 161 to 170 of about 2,079,517 (273)

Multi-dimensional dynamic visualization of spatiotemporal data for tactical analysis in table tennis. [PDF]

Front Bioeng Biotechnol
Guo J, Huang Q, Gao L, Zhou X, Qian L, Sun J, Xiao D.   +6 more
europepmc   +1 more source

Interactive Groupwise Comparison for Reinforcement Learning from Human Feedback

Computer Graphics Forum, EarlyView.
The standard RLHF uses pairwise comparisons and therefore requires a large number of comparisons leading to a high workload. The comparison pairs are suggested by the system and cannot be chosen by the user. Our RLHF approach provides more agency to the user and demands less work: we leverage the user's visual abilities to effectively explore the ...
Jan Kompatscher, Danqing Shi, Giovanna Varni, Tino Weinkauf, Antti Oulasvirta   +4 more
wiley   +1 more source

Small-Target Ship Detection with Joint Spatio-Temporal Features Across Multiple Frames. [PDF]

Sensors (Basel)
Qian Y, Hu Z, Zhang B, Yang W, Chen Q.
europepmc   +1 more source

EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models

Computer Graphics Forum, EarlyView.
EvolvED visualises how diffusion models generate images by embedding intermediate outputs to preserve semantics and evolutionary structure. It supports analysis via (a) user‐defined goals and prompts, (b) sampling intermediate images, (c) extracting relevant features, and (d) visualising them in structured radial and rectilinear layouts for ...
Vidya Prasad, Hans van Gorp, Christina Humer, Ruud J. G. van Sloun, Anna Vilanova, Nicola Pezzotti   +5 more
wiley   +1 more source

TLCFormer: synergizing temporal motion and local contrast for robust infrared video small object detection. [PDF]

Sci Rep
Wang Z, Li L, Bai F.
europepmc   +1 more source

L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts

Computer Graphics Forum, EarlyView.
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel, Y. Wang, A. Wentzel, C. D. Fuller, G. E. Marai, M. E. Papka, G. Canahuate   +6 more
wiley   +1 more source

A multi-technique approach for improving summary polar diagrams. [PDF]

iScience
Anžel A, Yang Z, Hattab G.
europepmc   +1 more source

OUGS: Active View Selection via Object‐aware Uncertainty Estimation in 3DGS

Computer Graphics Forum, EarlyView.
Abstract Recent advances in 3D Gaussian Splatting (3DGS) have achieved state‐of‐the‐art results for novel view synthesis. However, efficiently capturing high‐fidelity reconstructions of specific objects within complex scenes remains a significant challenge.
Haiyi Li, Qi Chen, Denis Kalkofen, Hsiang‐Ting Chen   +3 more
wiley   +1 more source

Exploring the impact of unpredictability of household resources on infant attention. [PDF]

Infant Behav Dev
Giménez LA, Werchan DM, Rice CJ, Velarde Perez M, Brito NH.   +4 more
europepmc   +1 more source

TreeON: Reconstructing 3D Tree Point Clouds from Orthophotos and Heightmaps

Computer Graphics Forum, EarlyView.
Abstract We present TreeON, a novel neural‐based framework for reconstructing detailed 3D tree point clouds from sparse top‐down geodata, using only a single orthophoto and its corresponding Digital Surface Model (DSM). Our method introduces a new training supervision strategy that combines both geometric supervision and a differentiable shadow and ...
Angeliki Grammatikaki, Johannes Eschner, Pedro Hermosilla, Oscar Argudo, Manuela Waldner   +4 more
wiley   +1 more source