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ORCIDTing Liu 0005
Person information
- affiliation: Google, Inc.
- affiliation (PhD 2016): University of Utah, Scientific Computing and Imaging Institute, Salt Lake City, UT, USA
Other persons with the same name
- Ting Liu — disambiguation page
- Ting Liu 0001
![[0000-0002-9091-7757]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9091-7757")
— Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China (and 1 more) - Ting Liu 0002 — Xi'an Jiaotong University, School of Electronic and Information Engineering, MOEKLINNS, China
- Ting Liu 0003 — State University of New York at Albany, NY, USA
- Ting Liu 0004 — AUG Signals Ltd., Toronto, ON, Canada
- Ting Liu 0006 — Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
- Ting Liu 0007 — Henri Poincaré University, Nancy, France
- Ting Liu 0008 — Harbin Institute of Technology, Department of Control Science and Engineering, China
- Ting Liu 0009 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Ting Liu 0010 — Chinese Academy of Sciences, Academy of Mathematics and Systems Sciences, Key Laboratory of Systems and Control, Beijing, China
- Ting Liu 0011 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
- Ting Liu 0012 — Beijing Jiaotong University, Institute of Information Science, Beijing, China
- Ting Liu 0013 — Nanjing University of Information Science and Technology, Nanjing, China (and 1 more)
- Ting Liu 0014 — Guangdong University of Technology, Department of Communication Engineering, Guangzhou, China
- Ting Liu 0015 — Tianjin University, Department of Management and Economics, China
- Ting Liu 0016 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, School of Microelectronics, China
- Ting Liu 0017 — National University of Defense Technology, NUDT, College of Electronic Science and Technology, Changsha, China
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Books and Theses
- 2016
[b1]Ting Liu:
Image Segmentation with Hierarchical Models. University of Utah, USA, 2016
Journal Articles
- 2022
- [j2]Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam:
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose. Int. J. Comput. Vis. 130(1): 111-135 (2022) - 2016
- [j1]Ting Liu, Mojtaba Seyedhosseini, Tolga Tasdizen:
Image Segmentation Using Hierarchical Merge Tree. IEEE Trans. Image Process. 25(10): 4596-4607 (2016)
Conference and Workshop Papers
- 2024
- [c22]Yue Zhao, Long Zhao, Xingyi Zhou, Jialin Wu, Chun-Te Chu, Hui Miao, Florian Schroff, Hartwig Adam, Ting Liu, Boqing Gong, Philipp Krähenbühl, Liangzhe Yuan:
Distilling Vision-Language Models on Millions of Videos. CVPR 2024: 13106-13116 - [c21]Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan:
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding. ICLR 2024 - [c20]Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong:
VideoPrism: A Foundational Visual Encoder for Video Understanding. ICML 2024 - [c19]Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong:
On Discrete Prompt Optimization for Diffusion Models. ICML 2024 - [c18]Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas:
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. WACV 2024: 2511-2521 - 2023
- [c17]Zheng Xu, Maxwell D. Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan:
Learning to Generate Image Embeddings with User-Level Differential Privacy. CVPR 2023: 7969-7980 - [c16]Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng:
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition. ICCV 2023: 3284-3294 - [c15]Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Unified Visual Relationship Detection with Vision and Language Models. ICCV 2023: 6939-6950 - 2022
- [c14]Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui:
On Temporal Granularity in Self-Supervised Video Representation Learning. BMVC 2022: 541 - [c13]Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. CVPR 2022: 13957-13966 - [c12]Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf:
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality. ECCV (35) 2022: 249-266 - [c11]Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu:
Surrogate Gap Minimization Improves Sharpness-Aware Training. ICLR 2022 - 2021
- [c10]Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu:
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. CVPR 2021: 12793-12802 - 2020
- [c9]Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. CVPR 2020: 12472-12482 - [c8]Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu:
View-Invariant Probabilistic Embedding for Human Pose. ECCV (5) 2020: 53-70 - [c7]Long Zhao, Ting Liu, Xi Peng, Dimitris N. Metaxas:
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness. NeurIPS 2020 - 2018
- [c6]Jennifer J. Sun, Ting Liu, Gautam Prasad:
GLA in MediaEval 2018 Emotional Impact of Movies Task. MediaEval 2018 - 2016
- [c5]Ting Liu, Miaomiao Zhang, Mehran Javanmardi, Nisha Ramesh, Tolga Tasdizen:
SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation. ECCV (1) 2016: 144-159 - 2013
- [c4]Ting Liu, Mojtaba Seyedhosseini, Mark H. Ellisman, Tolga Tasdizen:
Watershed merge forest classification for electron microscopy image stack segmentation. ICIP 2013: 4069-4073 - [c3]Cory Jay Jones, Ting Liu, Mark H. Ellisman, Tolga Tasdizen:
Semi-automatic neuron segmentation in electron microscopy images via sparse labeling. ISBI 2013: 1304-1307 - 2012
- [c2]Ting Liu, Elizabeth Jurrus, Mojtaba Seyedhosseini, Mark H. Ellisman, Tolga Tasdizen:
Watershed merge tree classification for electron microscopy image segmentation. ICPR 2012: 133-137 - 2003
- [c1]Yanjun Qi, Alexander G. Hauptmann, Ting Liu:
Supervised classification for video shot segmentation. ICME 2003: 689-692
Informal and Other Publications
- 2024
- [i28]Yue Zhao, Long Zhao, Xingyi Zhou, Jialin Wu, Chun-Te Chu, Hui Miao, Florian Schroff, Hartwig Adam, Ting Liu, Boqing Gong, Philipp Krähenbühl, Liangzhe Yuan:
Distilling Vision-Language Models on Millions of Videos. CoRR abs/2401.06129 (2024) - [i27]Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong:
VideoPrism: A Foundational Visual Encoder for Video Understanding. CoRR abs/2402.13217 (2024) - [i26]Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong:
On Discrete Prompt Optimization for Diffusion Models. CoRR abs/2407.01606 (2024) - [i25]Xiaoyu Zhu, Hao Zhou, Pengfei Xing, Long Zhao, Hao Xu, Junwei Liang, Alexander Hauptmann, Ting Liu, Andrew C. Gallagher:
Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models. CoRR abs/2407.13642 (2024) - 2023
- [i24]Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Unified Visual Relationship Detection with Vision and Language Models. CoRR abs/2303.08998 (2023) - [i23]Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas:
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning. CoRR abs/2303.09447 (2023) - [i22]Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan:
Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding. CoRR abs/2303.16341 (2023) - [i21]Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong:
VideoGLUE: Video General Understanding Evaluation of Foundation Models. CoRR abs/2307.03166 (2023) - [i20]Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng:
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition. CoRR abs/2308.11489 (2023) - [i19]Di Liu, Long Zhao, Qilong Zhangli, Yunhe Gao, Ting Liu, Dimitris N. Metaxas:
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency. CoRR abs/2309.01035 (2023) - 2022
- [i18]Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu:
Surrogate Gap Minimization Improves Sharpness-Aware Training. CoRR abs/2203.08065 (2022) - [i17]Tyler R. Scott, Ting Liu, Michael C. Mozer, Andrew C. Gallagher:
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better? CoRR abs/2211.05183 (2022) - [i16]Zheng Xu, Maxwell D. Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan:
Learning to Generate Image Embeddings with User-level Differential Privacy. CoRR abs/2211.10844 (2022) - 2021
- [i15]Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui:
Exploring Temporal Granularity in Self-Supervised Video Representation Learning. CoRR abs/2112.04480 (2021) - [i14]Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. CoRR abs/2112.05181 (2021) - [i13]Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf:
COMPOSER: Compositional Learning of Group Activity in Videos. CoRR abs/2112.05892 (2021) - 2020
- [i12]Jennifer J. Sun, Ting Liu, Alan S. Cowen, Florian Schroff, Hartwig Adam, Gautam Prasad:
EEV Dataset: Predicting Expressions Evoked by Diverse Videos. CoRR abs/2001.05488 (2020) - [i11]Long Zhao, Ting Liu, Xi Peng, Dimitris N. Metaxas:
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness. CoRR abs/2010.08001 (2020) - [i10]Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam:
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose. CoRR abs/2010.13321 (2020) - [i9]Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu:
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. CoRR abs/2012.01405 (2020) - 2019
- [i8]Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen:
DeeperLab: Single-Shot Image Parser. CoRR abs/1902.05093 (2019) - [i7]Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab. CoRR abs/1910.04751 (2019) - [i6]Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. CoRR abs/1911.10194 (2019) - [i5]Jennifer J. Sun, Ting Liu, Gautam Prasad:
GLA in MediaEval 2018 Emotional Impact of Movies Task. CoRR abs/1911.12361 (2019) - [i4]Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu:
View-Invariant Probabilistic Embedding for Human Pose. CoRR abs/1912.01001 (2019) - 2016
- [i3]Mehran Javanmardi, Mehdi Sajjadi, Ting Liu, Tolga Tasdizen:
Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation. CoRR abs/1605.01368 (2016) - [i2]Ting Liu, Miaomiao Zhang, Mehran Javanmardi, Nisha Ramesh, Tolga Tasdizen:
SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation. CoRR abs/1608.04051 (2016) - 2015
- [i1]Ting Liu, Mojtaba Seyedhosseini, Tolga Tasdizen:
Image Segmentation Using Hierarchical Merge Tree. CoRR abs/1505.06389 (2015)
Coauthor Index
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