Követés
Guangxing Han
Guangxing Han
További nevek韩 光星
Google DeepMind
E-mail megerősítve itt: google.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Meta faster r-cnn: Towards accurate few-shot object detection with attentive feature alignment
G Han, S Huang, J Ma, Y He, SF Chang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 780-789, 2022
1682022
COVID-19 literature knowledge graph construction and drug repurposing report generation
Q Wang, M Li, X Wang, N Parulian, G Han, J Ma, J Tu, Y Lin, H Zhang, ...
Proceedings of the 2021 Annual Conference of the North American Chapter of …, 2020
1602020
Few-shot object detection with fully cross-transformer
G Han, J Ma, S Huang, L Chen, SF Chang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1582022
Query adaptive few-shot object detection with heterogeneous graph convolutional networks
G Han, Y He, S Huang, J Ma, SF Chang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1262021
Partner-assisted learning for few-shot image classification
J Ma, H Xie, G Han, SF Chang, A Galstyan, W Abd-Almageed
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
792021
Task-adaptive negative envision for few-shot open-set recognition
S Huang, J Ma, G Han, SF Chang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
512022
The met dataset: Instance-level recognition for artworks
NA Ypsilantis, N Garcia, G Han, S Ibrahimi, N Van Noord, G Tolias
NeurIPS 2021 Datasets and Benchmarks Track, 2022
412022
Digeo: Discriminative geometry-aware learning for generalized few-shot object detection
J Ma, Y Niu, J Xu, S Huang, G Han, SF Chang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
382023
Supervised masked knowledge distillation for few-shot transformers
H Lin, G Han, J Ma, S Huang, X Lin, SF Chang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
362023
Revisiting Faster R-CNN: a deeper look at region proposal network
G Han, X Zhang, C Li
International Conference on Neural Information Processing, 14-24, 2017
272017
Multi-modal few-shot object detection with meta-learning-based cross-modal prompting
G Han, L Chen, J Ma, S Huang, R Chellappa, SF Chang
arXiv preprint arXiv:2204.07841, 2022
232022
Explicit image caption editing
Z Wang, L Chen, W Ma, G Han, Y Niu, J Shao, J Xiao
European Conference on Computer Vision, 113-129, 2022
182022
Few-shot end-to-end object detection via constantly concentrated encoding across heads
J Ma, G Han, S Huang, Y Yang, SF Chang
European Conference on Computer Vision, 57-73, 2022
172022
Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model
S Pramanick, G Han, R Hou, S Nag, SN Lim, N Ballas, Q Wang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
152024
Semi-supervised dff: Decoupling detection and feature flow for video object detectors
G Han, X Zhang, C Li
Proceedings of the 26th ACM international conference on Multimedia, 1811-1819, 2018
152018
TempCLR: Temporal Alignment Representation with Contrastive Learning
Y Yang, J Ma, S Huang, L Chen, X Lin, G Han, SF Chang
The Eleventh International Conference on Learning Representations (ICLR), 2023, 2022
132022
Weakly-Supervised Temporal Article Grounding
L Chen, Y Niu, B Chen, X Lin, G Han, C Thomas, H Ayyubi, H Ji, ...
The 2022 Conference on Empirical Methods in Natural Language Processing …, 2022
132022
Single shot object detection with top-down refinement
G Han, X Zhang, C Li
2017 IEEE International Conference on Image Processing (ICIP), 3360-3364, 2017
122017
Mitigating dialogue hallucination for large multi-modal models via adversarial instruction tuning
D Park, Z Qian, G Han, SN Lim
arXiv preprint arXiv:2403.10492, 2024
92024
Rapidly adaptable automated interpretation of point-of-care COVID-19 diagnostics
S Arumugam, J Ma, U Macar, G Han, K McAulay, D Ingram, A Ying, ...
Communications Medicine 3 (1), 91, 2023
8*2023
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