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ORCIDDaqi Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j10]Daqi Liu
, Miroslaw Bober, Josef Kittler:
Importance Weighted Structure Learning for Scene Graph Generation. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 1231-1242 (2024)- [j9]Lina Ke, Daqi Liu, Qin Tan, Shuting Wang, Quanming Wang, Jun Yang:
Spatial-Temporal Pattern of Land Use and SDG15 Assessment in the Bohai Rim Region Based on GEE and RF Algorithms. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 7541-7553 (2024) - [c9]Lizhe Liu, Bohua Wang, Hongwei Xie, Daqi Liu, Li Liu, Zhiqiang Tian, Kuiyuan Yang, Bing Wang:
SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field. CVPR 2024: 21614-21623 - [i12]Lizhe Liu, Bohua Wang, Hongwei Xie, Daqi Liu, Li Liu, Zhiqiang Tian, Kuiyuan Yang, Bing Wang:
SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field. CoRR abs/2403.14366 (2024) - [i11]Dongrui Liu, Daqi Liu, Xueqian Li, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Lei Chu:
Self-Supervised Multi-Frame Neural Scene Flow. CoRR abs/2403.16116 (2024) - 2023
- [j8]Daqi Liu, Miroslaw Bober, Josef Kittler:
Neural Belief Propagation for Scene Graph Generation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10161-10172 (2023) - [j7]Daqi Liu, Miroslaw Bober, Josef Kittler:
Constrained Structure Learning for Scene Graph Generation. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11588-11599 (2023) - 2022
- [c8]Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin:
Globally Optimal Event-Based Divergence Estimation for Ventral Landing. ECCV Workshops (1) 2022: 3-20 - [c7]Daqi Liu, Álvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid:
Asynchronous Optimisation for Event-based Visual Odometry. ICRA 2022: 9432-9438 - [i10]Daqi Liu, Miroslaw Bober, Josef Kittler:
Constrained Structure Learning for Scene Graph Generation. CoRR abs/2201.11697 (2022) - [i9]Daqi Liu, Álvaro Parra Bustos, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid:
Asynchronous Optimisation for Event-based Visual Odometry. CoRR abs/2203.01037 (2022) - [i8]Daqi Liu, Miroslaw Bober, Josef Kittler:
Importance Weighted Structure Learning for Scene Graph Generation. CoRR abs/2205.07017 (2022) - [i7]Daqi Liu, Miroslaw Bober, Josef Kittler:
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation. CoRR abs/2206.11352 (2022) - [i6]Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin:
Globally Optimal Event-Based Divergence Estimation for Ventral Landing. CoRR abs/2209.13168 (2022) - 2021
- [j6]Daqi Liu, Miroslaw Bober, Josef Kittler:
Visual Semantic Information Pursuit: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1404-1422 (2021) - [c6]Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo:
Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge. CVPR Workshops 2021: 2086-2094 - [c5]Daqi Liu, Álvaro Parra, Tat-Jun Chin:
Spatiotemporal Registration for Event-Based Visual Odometry. CVPR 2021: 4937-4946 - [i5]Daqi Liu, Álvaro Parra, Tat-Jun Chin:
Spatiotemporal Registration for Event-based Visual Odometry. CoRR abs/2103.05955 (2021) - [i4]Daqi Liu, Miroslaw Bober, Josef Kittler:
Neural Belief Propagation for Scene Graph Generation. CoRR abs/2112.05727 (2021) - 2020
- [j5]Daqi Liu, Nicola Bellotto, Shigang Yue:
Deep Spiking Neural Network for Video-Based Disguise Face Recognition Based on Dynamic Facial Movements. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1843-1855 (2020) - [j4]Daqi Liu, Bo Chen, Tat-Jun Chin, Mark G. Rutten:
Topological Sweep for Multi-Target Detection of Geostationary Space Objects. IEEE Trans. Signal Process. 68: 5166-5177 (2020) - [c4]Daqi Liu, Álvaro Parra Bustos, Tat-Jun Chin:
Globally Optimal Contrast Maximisation for Event-Based Motion Estimation. CVPR 2020: 6348-6357 - [i3]Daqi Liu, Álvaro Parra Bustos, Tat-Jun Chin:
Globally Optimal Contrast Maximisation for Event-based Motion Estimation. CoRR abs/2002.10686 (2020) - [i2]Daqi Liu, Bo Chen, Tat-Jun Chin, Mark Rutten:
Topological Sweep for Multi-Target Detection of Geostationary Space Objects. CoRR abs/2003.09583 (2020)
2010 – 2019
- 2019
- [j3]Daqi Liu, Shigang Yue:
Event-Driven Continuous STDP Learning With Deep Structure for Visual Pattern Recognition. IEEE Trans. Cybern. 49(4): 1377-1390 (2019) - [i1]Daqi Liu, Miroslaw Bober, Josef Kittler:
Visual Semantic Information Pursuit: A Survey. CoRR abs/1903.05434 (2019) - 2018
- [c3]Daqi Liu, Shigang Yue:
Video-Based Disguise Face Recognition Based on Deep Spiking Neural Network. IJCNN 2018: 1-8 - 2017
- [b1]Daqi Liu:
Deep visual learning with spike-timing dependent plasticity. University of Lincoln, UK, 2017 - [j2]Daqi Liu, Shigang Yue:
Fast unsupervised learning for visual pattern recognition using spike timing dependent plasticity. Neurocomputing 249: 212-224 (2017) - 2016
- [j1]Chenhao Zhou, Ek Peng Chew, Loo Hay Lee, Daqi Liu:
An introduction and performance evaluation of the GRID system for transshipment terminals. Simul. 92(3): 277-293 (2016) - [c2]Daqi Liu, Shigang Yue:
Visual pattern recognition using unsupervised spike timing dependent plasticity learning. IJCNN 2016: 285-292 - 2014
- [c1]Daqi Liu, Shigang Yue:
Spiking neural network for visual pattern recognition. MFI 2014: 1-5
Coauthor Index
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last updated on 2024-10-07 02:28 CEST by the dblp team
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