| Adaptive loss-aware quantization for multi-bit networks Z Qu, Z Zhou, Y Cheng, L Thiele Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 51 | 2020 |
| Multi-cue event information fusion for pedestrian detection with neuromorphic vision sensors G Chen, H Cao, C Ye, Z Zhang, X Liu, X Mo, Z Qu, J Conradt, F Röhrbein, ... Frontiers in neurorobotics 13, 10, 2019 | 39 | 2019 |
| Online multi-object tracking-by-clustering for intelligent transportation system with neuromorphic vision sensor G Hinz, G Chen, M Aafaque, F Röhrbein, J Conradt, Z Bing, Z Qu, ... KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference …, 2017 | 33 | 2017 |
| Measuring what really matters: Optimizing neural networks for tinyml L Heim, A Biri, Z Qu, L Thiele arXiv preprint arXiv:2104.10645, 2021 | 32 | 2021 |
| Rskdd-net: Random sample-based keypoint detector and descriptor F Lu, G Chen, Y Liu, Z Qu, A Knoll Advances in Neural Information Processing Systems 33, 21297-21308, 2020 | 32 | 2020 |
| Efficient large language models: A survey Z Wan, X Wang, C Liu, S Alam, Y Zheng, Z Qu, S Yan, Y Zhu, Q Zhang, ... arXiv preprint arXiv:2312.03863 1, 2023 | 23 | 2023 |
| Event-based robotic grasping detection with neuromorphic vision sensor and event-grasping dataset B Li, H Cao, Z Qu, Y Hu, Z Wang, Z Liang Frontiers in neurorobotics 14, 51, 2020 | 20 | 2020 |
| Splitnets: Designing neural architectures for efficient distributed computing on head-mounted systems X Dong, B De Salvo, M Li, C Liu, Z Qu, HT Kung, Z Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
| p-Meta: Towards On-device Deep Model Adaptation Z Qu, Z Zhou, Y Tong, L Thiele Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2022 | 7 | 2022 |
| Deep Partial Updating: Towards Communication Efficient Updating for On-device Inference Z Qu, C Liu, L Thiele arXiv preprint arXiv:2007.03071, 2020 | 4 | 2020 |
| Measuring what Really Matters: Optimizing Neural Networks for TinyML. arXiv 2021 L Heim, A Biri, Z Qu, L Thiele arXiv preprint arXiv:2104.10645, 0 | 4 | |
| DRESS: Dynamic REal-time Sparse Subnets Z Qu, SS Sarwar, X Dong, Y Li, E Sumbul, B De Salvo CVPR Workshops (Efficient Deep Learning for Computer Vision), 2022 | 3 | 2022 |
| Deep anticipation: lightweight intelligent mobile sensing for unmanned vehicles in IoT by recurrent architecture G Chen, S Liu, K Ren, Z Qu, C Fu, G Hinz, A Knoll IET Intelligent Transport Systems 13 (10), 1468-1474, 2019 | 3 | 2019 |
| Efficient Optimization for Robust Bundle Adjustment Z Qu Master thesis, Technical University of Munich, 2018 | 3 | 2018 |
| GhostViT: Expediting Vision Transformers Via Cheap Operations H Cao, Z Qu, G Chen, X Li, L Thiele, A Knoll IEEE Transactions on Artificial Intelligence, 2023 | 1 | 2023 |
| Enabling Deep Learning on Edge Devices Z Qu arXiv preprint arXiv:2210.03204, 2022 | 1 | 2022 |
| Deep Partial Updating: Towards Communication Efficient Updating for On-device Inference Z Qu, C Liu, L Thiele European Conference on Computer Vision (ECCV 2022), 2022 | 1 | 2022 |
| Adaptive robust moving hands recognition under complex lighting condition Z Qu 2017 18th International Conference on Advanced Robotics (ICAR), 560-565, 2017 | | 2017 |
Guang ChenTongji UniversityVerified email at in.tum.de
