Daqi Liu

According to our database, Daqi Liu authored at least 29 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving.

Haiguang Wang, Daqi Liu, Hongwei Xie, Haisong Liu, Enhui Ma, Kaicheng Yu, Limin Wang, Bing Wang

CoRR, March, 2025

CPAny: Couple With Any Encoder to Refer Multi-Object Tracking.

Weize Li, Yunhao Du, Qixiang Yin, Zhicheng Zhao, Fei Su, Daqi Liu

CoRR, March, 2025

Learning A Zero-shot Occupancy Network from Vision Foundation Models via Self-supervised Adaptation.

Sihao Lin, Daqi Liu, Ruochong Fu, Dongrui Liu, Andy Song, Hongwei Xie, Zhihui Li, Bing Wang, Xiaojun Chang

CoRR, March, 2025

Classification of Wetlands in the Liaohe Estuary Based on MRMR-RF-CV Feature Preference of Multisource Remote Sensing Images.

Lina Ke, Shilin Zhang, Yao Lu, Nan Lei, Changkun Yin, Qin Tan, Lei Wang, Daqi Liu, Quanming Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024

Importance Weighted Structure Learning for Scene Graph Generation.

Daqi Liu, Miroslaw Bober, Josef Kittler

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Spatial-Temporal Pattern of Land Use and SDG15 Assessment in the Bohai Rim Region Based on GEE and RF Algorithms.

Lina Ke, Daqi Liu, Qin Tan, Shuting Wang, Quanming Wang, Jun Yang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Self-Supervised Multi-Frame Neural Scene Flow.

Dongrui Liu, Daqi Liu, Xueqian Li, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Lei Chu

CoRR, 2024

SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field.

Lizhe Liu, Bohua Wang, Hongwei Xie, Daqi Liu, Li Liu, Zhiqiang Tian, Kuiyuan Yang, Bing Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Constrained Structure Learning for Scene Graph Generation.

Daqi Liu, Miroslaw Bober, Josef Kittler

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Neural Belief Propagation for Scene Graph Generation.

Daqi Liu, Miroslaw Bober, Josef Kittler

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

2022

Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation.

Daqi Liu, Miroslaw Bober, Josef Kittler

CoRR, 2022

Asynchronous Optimisation for Event-based Visual Odometry.

Daqi Liu, Álvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Globally Optimal Event-Based Divergence Estimation for Ventral Landing.

Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

spotGEO dataset.

Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo

Dataset, January, 2021

Visual Semantic Information Pursuit: A Survey.

Daqi Liu, Miroslaw Bober, Josef Kittler

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Spatiotemporal Registration for Event-Based Visual Odometry.

Daqi Liu, Álvaro Parra, Tat-Jun Chin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge.

Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

spotGEO starter kit.

Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo, Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten

Dataset, June, 2020

spotGEO dataset.

Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo

Dataset, June, 2020

Topological Sweep for Multi-Target Detection of Geostationary Space Objects.

Daqi Liu, Bo Chen, Tat-Jun Chin, Mark G. Rutten

IEEE Trans. Signal Process., 2020

Deep Spiking Neural Network for Video-Based Disguise Face Recognition Based on Dynamic Facial Movements.

Daqi Liu, Nicola Bellotto, Shigang Yue

IEEE Trans. Neural Networks Learn. Syst., 2020

Globally Optimal Contrast Maximisation for Event-Based Motion Estimation.

Daqi Liu, Álvaro Parra Bustos, Tat-Jun Chin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Event-Driven Continuous STDP Learning With Deep Structure for Visual Pattern Recognition.

Daqi Liu, Shigang Yue

IEEE Trans. Cybern., 2019

2018

Video-Based Disguise Face Recognition Based on Deep Spiking Neural Network.

Daqi Liu, Shigang Yue

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Deep visual learning with spike-timing dependent plasticity.

Daqi Liu

PhD thesis, 2017

Fast unsupervised learning for visual pattern recognition using spike timing dependent plasticity.

Daqi Liu, Shigang Yue

Neurocomputing, 2017

2016

An introduction and performance evaluation of the GRID system for transshipment terminals.

Chenhao Zhou, Ek Peng Chew, Loo Hay Lee, Daqi Liu

Simul., 2016

Visual pattern recognition using unsupervised spike timing dependent plasticity learning.

Daqi Liu, Shigang Yue

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014

Spiking neural network for visual pattern recognition.

Daqi Liu, Shigang Yue

Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014