Supervised classification for video shot segmentation. - Yanjun Qi; Alexander G. Hauptmann; Ting Liu 005 (ICME, 2003)

Watershed merge tree classification for electron microscopy image segmentation. - Ting Liu 005; Elizabeth Jurrus; Mojtaba Seyedhosseini; Mark H. Ellisman; Tolga Tasdizen (ICPR, 2012)

Watershed merge forest classification for electron microscopy image stack segmentation. - Ting Liu 005; Mojtaba Seyedhosseini; Mark H. Ellisman; Tolga Tasdizen (ICIP, 2013)

Semi-automatic neuron segmentation in electron microscopy images via sparse labeling. - Cory Jay Jones; Ting Liu 005; Mark H. Ellisman; Tolga Tasdizen (ISBI, 2013)

SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation. - Ting Liu 005; Miaomiao Zhang; Mehran Javanmardi; Nisha Ramesh; Tolga Tasdizen (ECCV (1), 2016)

Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation. - Mehran Javanmardi; Mehdi Sajjadi; Ting Liu 005; Tolga Tasdizen (CoRR, 2016)

Image Segmentation Using Hierarchical Merge Tree. - Ting Liu 005; Mojtaba Seyedhosseini; Tolga Tasdizen (IEEE Trans. Image Process., 2016)

Image Segmentation with Hierarchical Models. - Ting Liu 005 (2016)

GLA in MediaEval 2018 Emotional Impact of Movies Task. - Jennifer J. Sun; Ting Liu 005; Gautam Prasad (MediaEval, 2018)

DeeperLab: Single-Shot Image Parser. - Tien-Ju Yang; Maxwell D. Collins; Yukun Zhu; Jyh-Jing Hwang; Ting Liu 005; Xiao Zhang; Vivienne Sze; George Papandreou; Liang-Chieh Chen (CoRR, 2019)

Panoptic-DeepLab. - Bowen Cheng; Maxwell D. Collins; Yukun Zhu; Ting Liu 005; Thomas S. Huang; Hartwig Adam; Liang-Chieh Chen (CoRR, 2019)

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. - Bowen Cheng; Maxwell D. Collins; Yukun Zhu; Ting Liu 005; Thomas S. Huang; Hartwig Adam; Liang-Chieh Chen (CVPR, 2020)

View-Invariant Probabilistic Embedding for Human Pose. - Jennifer J. Sun; Jiaping Zhao; Liang-Chieh Chen; Florian Schroff; Hartwig Adam; Ting Liu 005 (ECCV (5), 2020)

Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness. - Long Zhao 003; Ting Liu 005; Xi Peng 005; Dimitris N. Metaxas (NeurIPS, 2020)

EEV Dataset: Predicting Expressions Evoked by Diverse Videos. - Jennifer J. Sun; Ting Liu 005; Alan S. Cowen; Florian Schroff; Hartwig Adam; Gautam Prasad (CoRR, 2020)

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. - Long Zhao 003; Yuxiao Wang 001; Jiaping Zhao; Liangzhe Yuan; Jennifer J. Sun; Florian Schroff; Hartwig Adam; Xi Peng 005; Dimitris N. Metaxas; Ting Liu 005 (CVPR, 2021)

Exploring Temporal Granularity in Self-Supervised Video Representation Learning. - Rui Qian; Yeqing Li; Liangzhe Yuan; Boqing Gong; Ting Liu 005; Matthew Brown 001; Serge J. Belongie; Ming-Hsuan Yang 001; Hartwig Adam; Yin Cui (CoRR, 2021)

COMPOSER: Compositional Learning of Group Activity in Videos. - Honglu Zhou; Asim Kadav; Aviv Shamsian; Shijie Geng; Farley Lai; Long Zhao 003; Ting Liu 005; Mubbasir Kapadia; Hans Peter Graf (CoRR, 2021)

On Temporal Granularity in Self-Supervised Video Representation Learning. - Rui Qian; Yeqing Li; Liangzhe Yuan; Boqing Gong; Ting Liu 005; Matthew Brown 001; Serge J. Belongie; Ming-Hsuan Yang 001; Hartwig Adam; Yin Cui (BMVC, 2022)

Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. - Liangzhe Yuan; Rui Qian; Yin Cui; Boqing Gong; Florian Schroff; Ming-Hsuan Yang 001; Hartwig Adam; Ting Liu 005 (CVPR, 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 003; Ting Liu 005; Mubbasir Kapadia; Hans Peter Graf (ECCV (35), 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 005 (ICLR, 2022)

An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better? - Tyler R. Scott; Ting Liu 005; Michael C. Mozer; Andrew C. Gallagher (CoRR, 2022)

View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose. - Ting Liu 005; Jennifer J. Sun; Long Zhao 003; Jiaping Zhao; Liangzhe Yuan; Yuxiao Wang 001; Liang-Chieh Chen; Florian Schroff; Hartwig Adam (Int. J. Comput. Vis., 2022)

Learning to Generate Image Embeddings with User-Level Differential Privacy. - Zheng Xu 002; Maxwell D. Collins; Yuxiao Wang 001; Liviu Panait; Sewoong Oh; Sean Augenstein; Ting Liu 005; Florian Schroff; H. Brendan McMahan (CVPR, 2023)

Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition. - Qitong Wang 001; Long Zhao 003; Liangzhe Yuan; Ting Liu 005; Xi Peng 005 (ICCV, 2023)

Unified Visual Relationship Detection with Vision and Language Models. - Long Zhao 003; Liangzhe Yuan; Boqing Gong; Yin Cui; Florian Schroff; Ming-Hsuan Yang 001; Hartwig Adam; Ting Liu 005 (ICCV, 2023)

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning. - Zhuowei Li 002; Long Zhao 003; Zizhao Zhang; Han Zhang 010; Di Liu 003; Ting Liu 005; Dimitris N. Metaxas (CoRR, 2023)

Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding. - Yuanhao Xiong; Long Zhao 003; Boqing Gong; Ming-Hsuan Yang 001; Florian Schroff; Ting Liu 005; Cho-Jui Hsieh; Liangzhe Yuan (CoRR, 2023)

Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency. - Di Liu 003; Long Zhao 003; Qilong Zhangli; Yunhe Gao; Ting Liu 005; Dimitris N. Metaxas (CoRR, 2023)

Distilling Vision-Language Models on Millions of Videos. - Yue Zhao 006; Long Zhao 003; Xingyi Zhou; Jialin Wu; Chun-Te Chu; Hui Miao; Florian Schroff; Hartwig Adam; Ting Liu 005; Boqing Gong; Philipp Krähenbühl; Liangzhe Yuan (CVPR, 2024)

Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models. - Xiaoyu Zhu; Hao Zhou 014; Pengfei Xing; Long Zhao 003; Hao Xu; Junwei Liang 001; Alexander Hauptmann 001; Ting Liu 005; Andrew C. Gallagher (ECCV (29), 2024)

Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding. - Yuanhao Xiong; Long Zhao 003; Boqing Gong; Ming-Hsuan Yang 001; Florian Schroff; Ting Liu 005; Cho-Jui Hsieh; Liangzhe Yuan (ICLR, 2024)

VideoPrism: A Foundational Visual Encoder for Video Understanding. - Long Zhao 003; Nitesh Bharadwaj Gundavarapu; Liangzhe Yuan; Hao Zhou 014; Shen Yan; Jennifer J. Sun; Luke Friedman; Rui Qian; Tobias Weyand; Yue Zhao 006; Rachel Hornung; Florian Schroff; et al. (ICML, 2024)

On Discrete Prompt Optimization for Diffusion Models. - Ruochen Wang; Ting Liu 005; Cho-Jui Hsieh; Boqing Gong (ICML, 2024)

Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. - Zhuowei Li 002; Long Zhao 003; Zizhao Zhang; Han Zhang 010; Di Liu 003; Ting Liu 005; Dimitris N. Metaxas (WACV, 2024)

ε-VAE: Denoising as Visual Decoding. - Long Zhao 003; Sanghyun Woo; Ziyu Wan; Yandong Li; Han Zhang 010; Boqing Gong; Hartwig Adam; Xuhui Jia; Ting Liu 005 (CoRR, 2024)

Video Creation by Demonstration. - Yihong Sun; Hao Zhou 014; Liangzhe Yuan; Jennifer J. Sun; Yandong Li; Xuhui Jia; Hartwig Adam; Bharath Hariharan; Long Zhao 003; Ting Liu 005 (CoRR, 2024)

VideoGLUE: Video General Understanding Evaluation of Foundation Models. - Liangzhe Yuan; Nitesh Bharadwaj Gundavarapu; Long Zhao 003; Hao Zhou 014; Yin Cui; Lu Jiang 004; Xuan Yang; Menglin Jia; Tobias Weyand; Luke Friedman; Mikhail Sirotenko; Huisheng Wang; et al. (Trans. Mach. Learn. Res., 2024)

The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering. - Zhuowei Li 002; Haizhou Shi; Yunhe Gao; Di Liu 003; Zhenting Wang; Yuxiao Chen 002; Ting Liu 005; Long Zhao 003; Hao Wang 014; Dimitris N. Metaxas (CoRR, 2025)