| Semi-supervised domain adaptation for weakly labeled semantic video object segmentation H Wang, T Raiko, L Lensu, T Wang, J Karhunen Asian Conference on Computer Vision (ACCV), 2016 | 32 | 2016 |
| Primary object discovery and segmentation in videos via graph-based transductive inference H Wang, T Wang Computer Vision and Image Understanding (CVIU) 143, 159-172, 2016 | 20 | 2016 |
| A Weakly Supervised Geodesic Level Set Framework for Interactive Image Segmentation T Wang, H Wang, L Fan Neurocomputing 168 (C), 55-64, 2015 | 14 | 2015 |
| Graph Transduction Learning of Object Proposals for Video Object Segmentation T Wang, H Wang Asian Conference on Computer Vision (ACCV), 553-568, 2014 | 12 | 2014 |
| Robust Interactive Image Segmentation with Weak Supervision for Mobile Touch Screen Devices T Wang, H Wang, L Fan International Conference on Multimedia and Expo (ICME), 2015 | 11 | 2015 |
| Cross-Granularity Graph Inference for Semantic Video Object Segmentation H Wang, T Wang, K Chen, JK Kämäräinen International Joint Conference on Artificial Intelligence (IJCAI), 2017 | 10 | 2017 |
| Method and an apparatus for automatic segmentation of an object T WANG, H Wang US Patent 14,930,392, 2016 | 10* | 2016 |
| State-Conditioned Adversarial Subgoal Generation VH Wang, J Pajarinen, T Wang, JK Kämäräinen Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), 2023 | 8 | 2023 |
| Boosting Objectness: Semi-Supervised Learning for Object Detection and Segmentation in Multi-view Images H Wang, T Wang International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2016 | 8 | 2016 |
| Simultaneously Learning Architectures and Features of Deep Neural Networks T Wang, F Lixin, H Wang International Conference on Artificial Neural Networks (ICANN), 275-287, 2019 | 7 | 2019 |
| Swapped goal-conditioned offline reinforcement learning W Yang, H Wang, D Cai, J Pajarinen, JK Kämäräinen arXiv preprint arXiv:2302.08865, 2023 | 6 | 2023 |
| Graph-Boosted Attentive Network for Semantic Body Parsing T Wang, H Wang International Conference on Artificial Neural Networks (ICANN), 267-280, 2019 | 6 | 2019 |
| Hierarchical Reinforcement Learning with Adversarially Guided Subgoals VH Wang, J Pajarinen, T Wang, JK Kämäräinen | 3 | 2022 |
| Multi-Scale Fusion for Object Representation R Zhao, V Wang, J Kannala, J Pajarinen International Conference on Learning Representations (ICLR), 2025 | 1 | 2025 |
| Grouped Discrete Representation for Object-Centric Learning R Zhao, V Wang, J Kannala, J Pajarinen arXiv preprint arXiv:2411.02299, 2024 | 1 | 2024 |
| Grouped Discrete Representation Guides Object-Centric Learning R Zhao, V Wang, J Kannala, J Pajarinen arXiv preprint arXiv:2407.01726, 2024 | 1 | 2024 |
| Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning VH Wang, T Wang, W Yang, J Kämäräinen, J Pajarinen International Conference on Machine Learning (ICML), 2024 | 1 | 2024 |
| Spectral graph reasoning network for hyperspectral image classification H Wang International Conference on Artificial Neural Networks (ICANN), 711-723, 2020 | 1 | 2020 |
| Vector-Quantized Vision Foundation Models for Object-Centric Learning R Zhao, V Wang, J Kannala, J Pajarinen arXiv preprint arXiv:2502.20263, 2025 | | 2025 |
| Cycle Count Estimation of VLIW Processors Using Machine Learning K Hepola, J Shrestha, J Multanen, V Wang, J Pajarinen, P Jääskeläinen 2024 IEEE Nordic Circuits and Systems Conference (NorCAS), 1-7, 2024 | | 2024 |
Tinghuai WangHead of Huawei Cloud Research Finland; ex-Nokia-RC/Labs-FIN; ex-Sony-Laboratory; ex-HP-Labs-UKVerified email at huawei.com
