Large scale learning and recognition of faces in web videos. - Ming Zhao 003; Jay Yagnik; Hartwig Adam; David Bau (FG, 2008)

Tour the world: Building a web-scale landmark recognition engine. - Yantao Zheng; Ming Zhao 003; Yang Song 009; Hartwig Adam; Ulrich Buddemeier; Alessandro Bissacco; Fernando Brucher; Tat-Seng Chua; Hartmut Neven (CVPR, 2009)

Large-scale privacy protection in Google Street View. - Andrea Frome; German Cheung; Ahmad Abdulkader; Marco Zennaro; Bo Wu 001; Alessandro Bissacco; Hartwig Adam; Hartmut Neven; Luc Vincent (ICCV, 2009)

Tour the world: a technical demonstration of a web-scale landmark recognition engine. - Yantao Zheng; Ming Zhao 003; Yang Song 009; Hartwig Adam; Ulrich Buddemeier; Alessandro Bissacco; Fernando Brucher; Tat-Seng Chua; Hartmut Neven; Jay Yagnik (ACM Multimedia, 2009)

Large-Scale Object Classification Using Label Relation Graphs. - Jia Deng 001; Nan Ding 002; Yangqing Jia; Andrea Frome; Kevin Murphy 002; Samy Bengio; Yuan Li; Hartmut Neven; Hartwig Adam (ECCV (1), 2014)

BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks. - Bohyung Han; Jack Sim; Hartwig Adam (CVPR, 2017)

Learning Unified Embedding for Apparel Recognition. - Yang Song 009; Yuan Li 022; Bo Wu 001; Chao-Yeh Chen; Xiao Zhang; Hartwig Adam (ICCV Workshops, 2017)

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

The iNaturalist Challenge 2017 Dataset. - Grant Van Horn; Oisin Mac Aodha; Yang Song 009; Alexander Shepard; Hartwig Adam; Pietro Perona; Serge J. Belongie (CoRR, 2017)

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. - Andrew G. Howard; Menglong Zhu; Bo Chen 019; Dmitry Kalenichenko; Weijun Wang; Tobias Weyand; Marco Andreetto; Hartwig Adam (CoRR, 2017)

Improving Smiling Detection with Race and Gender Diversity. - Hee Jung Ryu; Margaret Mitchell; 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)

The INaturalist Species Classification and Detection Dataset. - Grant Van Horn; Oisin Mac Aodha; Yang Song 009; Yin Cui; Chen Sun 002; Alexander Shepard; Hartwig Adam; Pietro Perona; Serge J. Belongie (CVPR, 2018)

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference. - Benoit Jacob; Skirmantas Kligys; Bo Chen 019; Menglong Zhu; Matthew Tang; Andrew G. Howard; Hartwig Adam; Dmitry Kalenichenko (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)

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications. - Tien-Ju Yang; Andrew G. Howard; Bo Chen 019; Xiao Zhang; Alec Go; Mark Sandler 002; Vivienne Sze; Hartwig Adam (ECCV (10), 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)

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications. - Tien-Ju Yang; Andrew G. Howard; Bo Chen 019; Xiao Zhang; Alec Go; Vivienne Sze; Hartwig Adam (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)

Searching for MobileNetV3. - Andrew Howard 002; Ruoming Pang; Hartwig Adam; Quoc V. Le; Mark Sandler 002; Bo Chen 019; Weijun Wang; Liang-Chieh Chen; Mingxing Tan; Grace Chu; Vijay Vasudevan; Yukun Zhu (ICCV, 2019)

Geo-Aware Networks for Fine-Grained Recognition. - Grace Chu; Brian Potetz; Weijun Wang; Andrew Howard 002; Yang Song 009; Fernando Brucher; Thomas Leung; Hartwig Adam (ICCV Workshops, 2019)

The iMaterialist Fashion Attribute Dataset. - Sheng Guo 005; Weilin Huang; Xiao Zhang; Prasanna Srikhanta; Yin Cui; Yuan Li; Hartwig Adam; Matthew R. Scott; Serge J. Belongie (ICCV Workshops, 2019)

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

MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices. - Bo Chen 019; Golnaz Ghiasi; Hanxiao Liu; Tsung-Yi Lin; Dmitry Kalenichenko; Hartwig Adam; Quoc V. Le (CVPR, 2020)

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)

Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. - Liang-Chieh Chen; Raphael Gontijo Lopes; Bowen Cheng; Maxwell D. Collins; Ekin D. Cubuk; Barret Zoph; Hartwig Adam; Jonathon Shlens (ECCV (9), 2020)

Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset. - Menglin Jia; Mengyun Shi; Mikhail Sirotenko; Yin Cui; Claire Cardie; Bharath Hariharan; Hartwig Adam; Serge J. Belongie (ECCV (1), 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)

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. - Huiyu Wang; Yukun Zhu; Bradley Green; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (ECCV (4), 2020)

ATQAM/MAST'20: Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends. - Tanaya Guha; Vlad Hosu; Dietmar Saupe; Bastian Goldlücke; Naveen Kumar 004; Weisi Lin; Victor R. Martinez; Krishna Somandepalli; Shrikanth Narayanan; Wen-Huang Cheng; Kree McLaughlin; Hartwig Adam; et al. (ACM Multimedia, 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)

Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. - Liang-Chieh Chen; Raphael Gontijo Lopes; Bowen Cheng; Maxwell D. Collins; Ekin D. Cubuk; Barret Zoph; Hartwig Adam; Jonathon Shlens (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)

VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation. - Siyuan Qiao; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2021)

MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers. - Huiyu Wang; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2021)

STEP: Segmenting and Tracking Every Pixel. - Mark Weber; Jun Xie; Maxwell D. Collins; Yukun Zhu; Paul Voigtlaender; Hartwig Adam; Bradley Green; Andreas Geiger 001; Bastian Leibe; Daniel Cremers; Aljosa Osep; Laura Leal-Taixé; et al. (NeurIPS Datasets and Benchmarks, 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)

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)

Computational Media Intelligence: Human-Centered Machine Analysis of Media. - Krishna Somandepalli; Tanaya Guha; Victor R. Martinez; Naveen Kumar 004; Hartwig Adam; Shrikanth Narayanan (Proc. IEEE, 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)

TubeFormer-DeepLab: Video Mask Transformer. - Dahun Kim; Jun Xie; Huiyu Wang; Siyuan Qiao; Qihang Yu; Hong-Seok Kim; Hartwig Adam; In So Kweon; Liang-Chieh Chen (CVPR, 2022)

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. - Qihang Yu; Huiyu Wang; Dahun Kim; Siyuan Qiao; Maxwell D. Collins; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (CVPR, 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)

Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset. - Grant Van Horn; Rui Qian; Kimberly Wilber; Hartwig Adam; Oisin Mac Aodha; Serge J. Belongie (ECCV (8), 2022)

Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing. - Hsin-Ping Huang; Deqing Sun; Yaojie Liu; Wen-Sheng Chu; Taihong Xiao; Jinwei Yuan; Hartwig Adam; Ming-Hsuan Yang 001 (ECCV (13), 2022)

k-means Mask Transformer. - Qihang Yu; Huiyu Wang; Siyuan Qiao; Maxwell D. Collins; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (ECCV (29), 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)

2.5D visual relationship detection. - Yu-Chuan Su; Soravit Changpinyo; Xiangning Chen; Sathish Thoppay; Cho-Jui Hsieh; Lior Shapira; Radu Soricut; Hartwig Adam; Matthew Brown 001; Ming-Hsuan Yang 001; Boqing Gong (Comput. Vis. Image Underst., 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)

Improving Zero-shot Generalization and Robustness of Multi-Modal Models. - Yunhao Ge; Jie Ren 006; Andrew Gallagher; Yuxiao Wang 001; Ming-Hsuan Yang 001; Hartwig Adam; Laurent Itti; Balaji Lakshminarayanan; Jiaping Zhao (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)

MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. - Chenglin Yang; Siyuan Qiao; Qihang Yu; Xiaoding Yuan; Yukun Zhu; Alan L. Yuille; Hartwig Adam; Liang-Chieh Chen (ICLR, 2023)

Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception. - Hassan Akbari; Dan Kondratyuk; Yin Cui; Rachel Hornung; Huisheng Wang; Hartwig Adam (NeurIPS, 2023)

SANPO: A Scene Understanding, Accessibility, Navigation, Pathfinding, Obstacle Avoidance Dataset. - Sagar M. Waghmare; Kimberly Wilber; Dave Hawkey; Xuan Yang; Matthew Wilson; Stephanie Debats; Cattalyya Nuengsigkapian; Astuti Sharma; Lars Pandikow; Huisheng Wang; Hartwig Adam; Mikhail Sirotenko (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)

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)

VideoPoet: A Large Language Model for Zero-Shot Video Generation. - Dan Kondratyuk; Lijun Yu; Xiuye Gu; José Lezama; Jonathan Huang; Grant Schindler; Rachel Hornung; Vighnesh Birodkar; Jimmy Yan; Ming-Chang Chiu; Krishna Somandepalli; Hassan Akbari; et al. (ICML, 2024)

PolyMaX: General Dense Prediction with Mask Transformer. - Xuan Yang; Liangzhe Yuan; Kimberly Wilber; Astuti Sharma; Xiuye Gu; Siyuan Qiao; Stephanie Debats; Huisheng Wang; Hartwig Adam; Mikhail Sirotenko; Liang-Chieh Chen (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)

SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset. - Sagar M. Waghmare; Kimberly Wilber; Dave Hawkey; Xuan Yang; Matthew Wilson; Stephanie Debats; Cattalyya Nuengsigkapian; Astuti Sharma; Lars Pandikow; Huisheng Wang; Hartwig Adam; Mikhail Sirotenko (WACV, 2025)