Sledovat
Tengda Han
Tengda Han
Google DeepMind | VGG, University of Oxford
E-mailová adresa ověřena na: robots.ox.ac.uk - Domovská stránka
Název
Citace
Citace
Rok
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
27352022
Self-supervised Co-training for Video Representation Learning
T Han, W Xie, A Zisserman
Conference on Neural Information Processing Systems (NeurIPS), 2020
4422020
Video representation learning by dense predictive coding
T Han, W Xie, A Zisserman
Workshop on Large-scale Holistic Video Understanding, ICCV, 2019
4282019
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
3262022
Memory-augmented Dense Predictive Coding for Video Representation Learning
T Han, W Xie, A Zisserman
European Conference on Computer Vision (ECCV), 2020, 2020
2652020
Whisperx: Time-accurate speech transcription of long-form audio
M Bain, J Huh, T Han, A Zisserman
arXiv preprint arXiv:2303.00747, 2023
1502023
Temporal Alignment Networks for Long-term Video
T Han, W Xie, A Zisserman
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 2022
762022
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
352023
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
202023
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
192022
Human action forecasting by learning task grammars
T Han, J Wang, A Cherian, S Gould
arXiv preprint arXiv:1709.06391, 2017
172017
Open-world text-specified object counting
N Amini-Naieni, K Amini-Naieni, T Han, A Zisserman
arXiv preprint arXiv:2306.01851, 2023
112023
Turbo training with token dropout
T Han, W Xie, A Zisserman
arXiv preprint arXiv:2210.04889, 2022
92022
AutoAD III: The Prequel-Back to the Pixels
T Han, M Bain, A Nagrani, G Varol, W Xie, A Zisserman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
32024
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
22023
Semantic Counting from Self-Collages
L Knobel, T Han, YM Asano
arXiv preprint arXiv:2307.08727, 2023
12023
AutoAD-Zero: A Training-Free Framework for Zero-Shot Audio Description
J Xie, T Han, M Bain, A Nagrani, G Varol, W Xie, A Zisserman
arXiv preprint arXiv:2407.15850, 2024
2024
CountGD: Multi-Modal Open-World Counting
N Amini-Naieni, T Han, A Zisserman
arXiv preprint arXiv:2407.04619, 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
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Články 1–20