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Ting Liu
Ting Liu
Google DeepMind
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Title
Cited by
Cited by
Year
Panoptic-DeepLab: A simple, strong, and fast baseline for bottom-up panoptic segmentation
B Cheng, MD Collins, Y Zhu, T Liu, TS Huang, H Adam, LC Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 12475-12485, 2020
7072020
Weakly supervised action localization by sparse temporal pooling network
P Nguyen*, T Liu*, G Prasad, B Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6752-6761, 2018
4282018
Crowdsourcing the creation of image segmentation algorithms for connectomics
I Arganda-Carreras, SC Turaga, DR Berger, D Cireşan, A Giusti, ...
Frontiers in Neuroanatomy 9, 2015
3832015
DeeperLab: Single-shot image parser
TJ Yang, MD Collins, Y Zhu, JJ Hwang, T Liu, X Zhang, V Sze, ...
arXiv preprint arXiv:1902.05093, 2019
2182019
Maximum-entropy adversarial data augmentation for improved generalization and robustness
L Zhao, T Liu, X Peng, DN Metaxas
Advances in Neural Information Processing Systems (NeurIPS), 2020
1892020
Surrogate gap minimization improves sharpness-aware training
J Zhuang, B Gong, L Yuan, Y Cui, H Adam, NC Dvornek, S Tatikonda, ...
International Conference on Learning Representations (ICLR), 2022
1562022
View-invariant probabilistic embedding for human pose
JJ Sun, J Zhao, LC Chen, F Schroff, H Adam, T Liu
European Conference on Computer Vision (ECCV), 53-70, 2020
912020
A modular hierarchical approach to 3D electron microscopy image segmentation
T Liu, C Jones, M Seyedhosseini, T Tasdizen
Journal of Neuroscience Methods 226, 88-102, 2014
802014
Panoptic-DeepLab
B Cheng, MD Collins, Y Zhu, T Liu, TS Huang, H Adam, LC Chen
ICCV 2019 Joint COCO and Mapillary Recognition Challenge Workshop, 2019
622019
Image segmentation using hierarchical merge tree
T Liu, M Seyedhosseini, T Tasdizen
IEEE Transactions on Image Processing 25 (10), 4596-4607, 2016
592016
Watershed merge tree classification for electron microscopy image segmentation
T Liu, E Jurrus, M Seyedhosseini, M Ellisman, T Tasdizen
IEEE International Conference on Pattern Recognition (ICPR), 133-137, 2012
592012
COMPOSER: Compositional reasoning of group activity in videos with keypoint-only modality
H Zhou, A Kadav, A Shamsian, S Geng, F Lai, L Zhao, T Liu, M Kapadia, ...
European Conference on Computer Vision (ECCV), 2022
442022
Multi-modal 3D human pose estimation with 2D weak supervision in autonomous driving
J Zheng, X Shi, A Gorban, J Mao, Y Song, CR Qi, T Liu, V Chari, ...
IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW …, 2022
412022
Learning view-disentangled human pose representation by contrastive cross-view mutual information maximization
L Zhao, Y Wang, J Zhao, L Yuan, JJ Sun, F Schroff, H Adam, X Peng, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
372021
Contextualized spatio-temporal contrastive learning with self-supervision
L Yuan, R Qian, Y Cui, B Gong, F Schroff, MH Yang, H Adam, T Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
262022
Particle swarm optimization in solving vehicle routing problem
H Shen, Y Zhu, T Liu, L Jin
IEEE International Conference on Intelligent Computation Technology and …, 2009
252009
Unsupervised total variation loss for semi-supervised deep learning of semantic segmentation
M Javanmardi, M Sajjadi, T Liu, T Tasdizen
arXiv preprint arXiv:1605.01368, 2016
242016
Learning to generate image embeddings with user-level differential privacy
Z Xu*, MD Collins*, Y Wang, L Panait, S Oh, S Augenstein, T Liu, F Schroff, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
232023
Efficient semi-automatic 3D segmentation for neuron tracing in electron microscopy images
C Jones, T Liu, NW Cohan, M Ellisman, T Tasdizen
Journal of Neuroscience Methods 246, 13-21, 2015
212015
View-invariant, occlusion-robust probabilistic embedding for human pose
T Liu*, JJ Sun*, L Zhao, J Zhao, L Yuan, Y Wang, LC Chen, F Schroff, ...
International Journal of Computer Vision (IJCV) 130, 111-135, 2021
192021
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