Single-Histogram Class Models for Image Segmentation. - Florian Schroff; Antonio Criminisi; Andrew Zisserman (ICVGIP, 2006)

Object Class Segmentation using Random Forests. - Florian Schroff; Antonio Criminisi; Andrew Zisserman (BMVC, 2008)

Clustering Videos by Location. - Florian Schroff; C. Lawrence Zitnick; Simon Baker (BMVC, 2009)

CLAROS - Bringing Classical Art to a Global Public. - Donna Kurtz; Greg Parker; David M. Shotton; Graham Klyne; Florian Schroff; Andrew Zisserman; Yorick Wilks (eScience, 2009)

Semantic Image Segmentation and Web-Supervised Visual Learning. - Florian Schroff (2009)

Visual Recognition with Humans in the Loop. - Steve Branson; Catherine Wah; Florian Schroff; Boris Babenko; Peter Welinder; Pietro Perona; Serge J. Belongie (ECCV (4), 2010)

Pose, illumination and expression invariant pairwise face-similarity measure via Doppelgänger list comparison. - Florian Schroff; Tali Treibitz; David J. Kriegman; Serge J. Belongie (ICCV, 2011)

Harvesting Image Databases from the Web. - Florian Schroff; Antonio Criminisi; Andrew Zisserman (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

FaceNet: A unified embedding for face recognition and clustering. - Florian Schroff; Dmitry Kalenichenko; James Philbin (CVPR, 2015)

Rethinking Atrous Convolution for Semantic Image Segmentation. - Liang-Chieh Chen; George Papandreou; Florian Schroff; Hartwig Adam (CoRR, 2017)

MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features. - Liang-Chieh Chen; Alexander Hermans; George Papandreou; Florian Schroff; Peng Wang 001; Hartwig Adam (CVPR, 2018)

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. - Liang-Chieh Chen; Yukun Zhu; George Papandreou; Florian Schroff; Hartwig Adam (ECCV (7), 2018)

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. - Liang-Chieh Chen; Maxwell D. Collins; Yukun Zhu; George Papandreou; Barret Zoph; Florian Schroff; Hartwig Adam; Jonathon Shlens (NeurIPS, 2018)

Modeling Uncertainty with Hedged Instance Embedding. - Seong Joon Oh; Kevin Murphy 002; Jiyan Pan; Joseph Roth; Florian Schroff; Andrew C. Gallagher (CoRR, 2018)

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. - Chenxi Liu 001; Liang-Chieh Chen; Florian Schroff; Hartwig Adam; Wei Hua; Alan L. Yuille; Li Fei-Fei 001 (CVPR, 2019)

FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation. - Paul Voigtlaender; Yuning Chai; Florian Schroff; Hartwig Adam; Bastian Leibe; Liang-Chieh Chen (CVPR, 2019)

Modeling Uncertainty with Hedged Instance Embeddings. - Seong Joon Oh; Kevin P. Murphy; Jiyan Pan; Joseph Roth; Florian Schroff; Andrew C. Gallagher (ICLR (Poster), 2019)

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)

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)

DeepLab2: A TensorFlow Library for Deep Labeling. - Mark Weber; Huiyu Wang; Siyuan Qiao; Jun Xie; Maxwell D. Collins; Yukun Zhu; Liangzhe Yuan; Dahun Kim; Qihang Yu; Daniel Cremers; Laura Leal-Taixé; Alan L. Yuille; et al. (CoRR, 2021)

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)

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)

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)

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)

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)

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)

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)