Παρακολούθηση
Wenbin He
Wenbin He
Lead Research Scientist at Bosch
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα us.bosch.com - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
InSituNet: Deep image synthesis for parameter space exploration of ensemble simulations
W He, J Wang, H Guo, KC Wang, HW Shen, M Raj, YSG Nashed, ...
IEEE transactions on visualization and computer graphics 26 (1), 23-33, 2019
962019
Finite-time Lyapunov exponents and Lagrangian coherent structures in uncertain unsteady flows
H Guo, W He, T Peterka, HW Shen, SM Collis, JJ Helmus
IEEE transactions on visualization and computer graphics 22 (6), 1672-1682, 2016
502016
Where Can We Help? A Visual Analytics Approach to Diagnosing and Improving Semantic Segmentation of Movable Objects
W He, L Zou, AK Shekar, L Gou, L Ren
IEEE Transactions on Visualization and Computer Graphics 28 (1), 1040-1050, 2021
312021
An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity
A Biswas, D Thompson, W He, Q Deng, CM Chen, HW Shenk, ...
2015 IEEE pacific visualization symposium (PacificVis), 223-230, 2015
282015
Clip-s4: Language-guided self-supervised semantic segmentation
W He, S Jamonnak, L Gou, L Ren
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
252023
DynamicsExplorer: Visual analytics for robot control tasks involving dynamics and LSTM-based control policies
W He, TY Lee, J van Baar, K Wittenburg, HW Shen
2020 IEEE Pacific Visualization Symposium (PacificVis), 36-45, 2020
222020
Visual concept programming: A visual analytics approach to injecting human intelligence at scale
MN Hoque, W He, AK Shekar, L Gou, L Ren
IEEE Transactions on Visualization and Computer Graphics 29 (1), 74-83, 2022
202022
Extreme-scale stochastic particle tracing for uncertain unsteady flow visualization and analysis
H Guo, W He, S Seo, HW Shen, EM Constantinescu, C Liu, T Peterka
IEEE transactions on visualization and computer graphics 25 (9), 2710-2724, 2018
17*2018
CECAV-DNN: Collective ensemble comparison and visualization using deep neural networks
W He, J Wang, H Guo, HW Shen, T Peterka
Visual Informatics 4 (2), 109-121, 2020
142020
FTK: A simplicial spacetime meshing framework for robust and scalable feature tracking
H Guo, D Lenz, J Xu, X Liang, W He, IR Grindeanu, HW Shen, T Peterka, ...
IEEE transactions on visualization and computer graphics 27 (8), 3463-3480, 2021
13*2021
eFESTA: Ensemble Feature Exploration with Surface Density Estimates
W He, H Guo, HW Shen, T Peterka
IEEE transactions on visualization and computer graphics 26 (4), 1716-1731, 2018
132018
Range likelihood tree: A compact and effective representation for visual exploration of uncertain data sets
W He, X Liu, HW Shen, SM Collis, JJ Helmus
2017 IEEE Pacific Visualization Symposium (PacificVis), 151-160, 2017
102017
A bayesian approach for probabilistic streamline computation in uncertain flows
W He, CM Chen, X Liu, HW Shen
2016 IEEE Pacific Visualization Symposium (PacificVis), 214-218, 2016
82016
Self-supervised semantic segmentation grounded in visual concepts
W He, W Surmeier, AK Shekar, L Gou, L Ren
arXiv preprint arXiv:2203.13868, 2022
72022
USEVis: Visual analytics of attention-based neural embedding in information retrieval
X Ji, Y Tu, W He, J Wang, HW Shen, PY Yen
Visual Informatics 5 (2), 1-12, 2021
72021
Geometry-driven detection, tracking and visual analysis of viscous and gravitational fingers
J Xu, S Dutta, W He, J Moortgat, HW Shen
IEEE Transactions on Visualization and Computer Graphics 28 (3), 1514-1528, 2020
52020
Hyp-ow: Exploiting hierarchical structure learning with hyperbolic distance enhances open world object detection
T Doan, X Li, S Behpour, W He, L Gou, L Ren
Proceedings of the AAAI Conference on Artificial Intelligence 38 (2), 1555-1563, 2024
42024
GradOrth: a simple yet efficient out-of-distribution detection with orthogonal projection of gradients
S Behpour, TL Doan, X Li, W He, L Gou, L Ren
Advances in Neural Information Processing Systems 36, 2024
32024
Visual Analytics System to Assess, Understand, and Improve Deep Neural Networks
L Gou, L Zou, W He, L Ren
US Patent App. 17/186,392, 2022
32022
Parallel Partial Reduction for Large-Scale Data Analysis and Visualization
W He, H Guo, T Peterka, S Di, F Cappello, HW Shen
2018 IEEE 8th Symposium on Large Data Analysis and Visualization (LDAV), 45-55, 2018
32018
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