Ting Liu

According to our database, Ting Liu authored at least 38 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ε-VAE: Denoising as Visual Decoding.

Long Zhao, Sanghyun Woo, Ziyu Wan, Yandong Li, Han Zhang, Boqing Gong, Hartwig Adam, Xuhui Jia, Ting Liu

CoRR, 2024

Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning.

Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

On Discrete Prompt Optimization for Diffusion Models.

Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

VideoPrism: A Foundational Visual Encoder for Video Understanding.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding.

Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models.

Xiaoyu Zhu, Hao Zhou, Pengfei Xing, Long Zhao, Hao Xu, Junwei Liang, Alexander Hauptmann, Ting Liu, Andrew C. Gallagher

Proceedings of the Computer Vision - ECCV 2024, 2024

Distilling Vision-Language Models on Millions of Videos.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency.

Di Liu, Long Zhao, Qilong Zhangli, Yunhe Gao, Ting Liu, Dimitris N. Metaxas

CoRR, 2023

VideoGLUE: Video General Understanding Evaluation of Foundation Models.

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

CoRR, 2023

Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding.

Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan

CoRR, 2023

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning.

Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas

CoRR, 2023

Unified Visual Relationship Detection with Vision and Language Models.

Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition.

Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning to Generate Image Embeddings with User-Level Differential Privacy.

Zheng Xu, Maxwell D. Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose.

Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam

Int. J. Comput. Vis., 2022

An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?

Tyler R. Scott, Ting Liu, Michael C. Mozer, Andrew C. Gallagher

CoRR, 2022

Surrogate Gap Minimization Improves Sharpness-Aware Training.

Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality.

Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf

Proceedings of the Computer Vision - ECCV 2022, 2022

Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision.

Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

On Temporal Granularity in Self-Supervised Video Representation Learning.

Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

COMPOSER: Compositional Learning of Group Activity in Videos.

Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf

CoRR, 2021

Exploring Temporal Granularity in Self-Supervised Video Representation Learning.

Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui

CoRR, 2021

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization.

Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

EEV Dataset: Predicting Expressions Evoked by Diverse Videos.

Jennifer J. Sun, Ting Liu, Alan S. Cowen, Florian Schroff, Hartwig Adam, Gautam Prasad

CoRR, 2020

Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness.

Long Zhao, Ting Liu, Xi Peng, Dimitris N. Metaxas

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

View-Invariant Probabilistic Embedding for Human Pose.

Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation.

Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Panoptic-DeepLab.

Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen

CoRR, 2019

DeeperLab: Single-Shot Image Parser.

Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen

CoRR, 2019

2018

GLA in MediaEval 2018 Emotional Impact of Movies Task.

Jennifer J. Sun, Ting Liu, Gautam Prasad

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

2016

Image Segmentation with Hierarchical Models.

Ting Liu

PhD thesis, 2016

Image Segmentation Using Hierarchical Merge Tree.

Ting Liu, Mojtaba Seyedhosseini, Tolga Tasdizen

IEEE Trans. Image Process., 2016

Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation.

Mehran Javanmardi, Mehdi Sajjadi, Ting Liu, Tolga Tasdizen

CoRR, 2016

SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation.

Ting Liu, Miaomiao Zhang, Mehran Javanmardi, Nisha Ramesh, Tolga Tasdizen

Proceedings of the Computer Vision - ECCV 2016, 2016

2013

Semi-automatic neuron segmentation in electron microscopy images via sparse labeling.

Cory Jay Jones, Ting Liu, Mark H. Ellisman, Tolga Tasdizen

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Watershed merge forest classification for electron microscopy image stack segmentation.

Ting Liu, Mojtaba Seyedhosseini, Mark H. Ellisman, Tolga Tasdizen

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Watershed merge tree classification for electron microscopy image segmentation.

Ting Liu, Elizabeth Jurrus, Mojtaba Seyedhosseini, Mark H. Ellisman, Tolga Tasdizen

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2003

Supervised classification for video shot segmentation.

Yanjun Qi, Alexander G. Hauptmann, Ting Liu

Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003