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Tengda Han
Tengda Han
Visual Geometry Group, University of Oxford
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Flamingo: a visual language model for few-shot learning
JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
Advances in neural information processing systems 35, 23716-23736, 2022
20892022
Video representation learning by dense predictive coding
T Han, W Xie, A Zisserman
Workshop on Large-scale Holistic Video Understanding, ICCV, 2019
4092019
Self-supervised Co-training for Video Representation Learning
T Han, W Xie, A Zisserman
Conference on Neural Information Processing Systems (NeurIPS), 2020
4032020
Prompting visual-language models for efficient video understanding
C Ju, T Han, K Zheng, Y Zhang, W Xie
European Conference on Computer Vision, 105-124, 2022
2602022
Memory-augmented Dense Predictive Coding for Video Representation Learning
T Han, W Xie, A Zisserman
European Conference on Computer Vision (ECCV), 2020, 2020
2502020
Whisperx: Time-accurate speech transcription of long-form audio
M Bain, J Huh, T Han, A Zisserman
arXiv preprint arXiv:2303.00747, 2023
882023
Temporal Alignment Networks for Long-term Video
T Han, W Xie, A Zisserman
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 2022
652022
Human pose forecasting via deep markov models
S Toyer, A Cherian, T Han, S Gould
2017 International Conference on Digital Image Computing: Techniques and …, 2017
562017
AutoAD: Movie description in context
T Han, M Bain, A Nagrani, G Varol, W Xie, A Zisserman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
222023
Human action forecasting by learning task grammars
T Han, J Wang, A Cherian, S Gould
arXiv preprint arXiv:1709.06391, 2017
172017
Autoad ii: The sequel-who, when, and what in movie audio description
T Han, M Bain, A Nagrani, G Varol, W Xie, A Zisserman
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
162023
Prompt Generation Networks for Input-based Adaptation of Frozen Vision Transformers
J Loedeman, MC Stol, T Han, YM Asano
arXiv preprint arXiv:2210.06466, 2022
152022
Turbo training with token dropout
T Han, W Xie, A Zisserman
arXiv preprint arXiv:2210.04889, 2022
72022
Open-world text-specified object counting
N Amini-Naieni, K Amini-Naieni, T Han, A Zisserman
British Machine Vision Association, 2023
62023
AutoAD III: The Prequel--Back to the Pixels
T Han, M Bain, A Nagrani, G Varol, W Xie, A Zisserman
arXiv preprint arXiv:2404.14412, 2024
2024
Stale Diffusion: Hyper-realistic 5D Movie Generation Using Old-school Methods
JF Henriques, D Campbell, T Han
arXiv preprint arXiv:2404.01079, 2024
2024
A Strong Baseline for Temporal Video-Text Alignment
Z Li, Q Chen, T Han, Y Zhang, Y Wang, W Xie
arXiv preprint arXiv:2312.14055, 2023
2023
Semantic Counting from Self-Collages
L Knobel, T Han, YM Asano
arXiv preprint arXiv:2307.08727, 2023
2023
Learning to Count without Annotations
L Knobel, T Han, YM Asano
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