Samuel Schulter

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 49

Top Topics

Semantic Segmentation

Domain Adaptation

Structured Output

Top Venues

Publications

Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. CoRR (2024)
Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker
Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation. CoRR (2024)
Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CoRR (2024)
Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter
Generating Enhanced Negatives for Training Language-Based Object Detectors. CoRR (2024)
Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas
Improving Pseudo Labels for Open-Vocabulary Object Detection. CoRR (2023)
Zaid Khan, BG Vijay Kumar, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR (2023)
Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas
OmniLabel: A Challenging Benchmark for Language-Based Object Detection. CoRR (2023)
Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas
OmniLabel: A Challenging Benchmark for Language-Based Object Detection. ICCV (2023)
Zhixiang Min, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Enrique Dunn, Manmohan Chandraker
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization. CoRR (2023)
Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu
Exploring Question Decomposition for Zero-Shot VQA. CoRR (2023)
Zhixiang Min, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Enrique Dunn, Manmohan Chandraker
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization. CVPR (2023)
Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh
Efficient Controllable Multi-Task Architectures. ICCV (2023)
Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CoRR (2023)
Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh
Efficient Controllable Multi-Task Architectures. CoRR (2023)
Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu
Exploring Question Decomposition for Zero-Shot VQA. NeurIPS (2023)
Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker
Controllable Dynamic Multi-Task Architectures. CoRR (2022)
Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B. G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. CoRR (2022)
Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CoRR (2022)
Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation. CVPR (2022)
Zaid Khan, B. G. Vijay Kumar, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu
Single-Stream Multi-level Alignment for Vision-Language Pretraining. ECCV (36) (2022)
Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, B. G. Vijay Kumar, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. ECCV (9) (2022)
Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker
On Generalizing Beyond Domains in Cross-Domain Continual Learning. CVPR (2022)
Zaid Khan, Vijay Kumar B. G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu
Single-Stream Multi-Level Alignment for Vision-Language Pretraining. CoRR (2022)
Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker
Controllable Dynamic Multi-Task Architectures. CVPR (2022)
Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation. CoRR (2022)
Weizhe Liu, David Ferstl, Samuel Schulter, Lukas Zebedin, Pascal Fua, Christian Leistner
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning. CoRR (2021)
Jinwoo Choi, Gaurav Sharma, Samuel Schulter, Jia-Bin Huang
Shuffle and Attend: Video Domain Adaptation. ECCV (12) (2020)
Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker
Understanding Road Layout from Videos as a Whole. CoRR (2020)
Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker
Understanding Road Layout From Videos as a Whole. CVPR (2020)
Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker
Domain Adaptive Semantic Segmentation Using Weak Labels. CoRR (2020)
Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu
Object Detection with a Unified Label Space from Multiple Datasets. CoRR (2020)
Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker
Domain Adaptive Semantic Segmentation Using Weak Labels. ECCV (9) (2020)
Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu
Object Detection with a Unified Label Space from Multiple Datasets. ECCV (14) (2020)
Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. CVPR (2020)
Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker
Domain Adaptation for Structured Output via Discriminative Patch Representations. CoRR (2019)
Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker
Domain Adaptation for Structured Output via Discriminative Patch Representations. ICCV (2019)
Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker
Learning To Simulate. ICLR (Poster) (2019)
Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker
A Parametric Top-View Representation of Complex Road Scenes. CVPR (2019)
Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker
Memory Warps for Long-Term Online Video Representations and Anticipation. WACV (2019)
Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker
Learning To Simulate. CoRR (2018)
Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker
A Parametric Top-View Representation of Complex Road Scenes. CoRR (2018)
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker
Learning to Adapt Structured Output Space for Semantic Segmentation. CVPR (2018)
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker
Learning to Adapt Structured Output Space for Semantic Segmentation. CoRR (2018)
Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker
Learning to Look around Objects for Top-View Representations of Outdoor Scenes. CoRR (2018)
Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker
Learning to Look around Objects for Top-View Representations of Outdoor Scenes. ECCV (15) (2018)
Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker
Memory Warps for Learning Long-Term Online Video Representations. CoRR (2018)
Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker
Deep Network Flow for Multi-Object Tracking. CoRR (2017)
Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker
Deep Network Flow for Multi-object Tracking. CVPR (2017)
Matthias Zeppelzauer, Georg Poier, Markus Seidl, Christian Reinbacher, Samuel Schulter, Christian Breiteneder, Horst Bischof
Interactive 3D Segmentation of Rock-Art by Enhanced Depth Maps and Gradient Preserving Regularization. ACM Journal on Computing and Cultural Heritage 9 (4) (2016)
Gernot Riegler, Samuel Schulter, Matthias Rüther, Horst Bischof
Conditioned Regression Models for Non-blind Single Image Super-Resolution. ICCV (2015)
Matthias Zeppelzauer, Georg Poier, Markus Seidl, Christian Reinbacher, Christian Breiteneder, Horst Bischof, Samuel Schulter
Interactive segmentation of rock-art in high-resolution 3D reconstructions. Digital Heritage (2015)
Philipp Kainz, Martin Urschler, Samuel Schulter, Paul Wohlhart, Vincent Lepetit
You Should Use Regression to Detect Cells. MICCAI (3) (2015)
Georg Poier, Konstantinos Roditakis, Samuel Schulter, Damien Michel, Horst Bischof, Antonis A. Argyros
Hybrid One-Shot 3D Hand Pose Estimation by Exploiting Uncertainties. BMVC (2015)
Georg Poier, Konstantinos Roditakis, Samuel Schulter, Damien Michel, Horst Bischof, Antonis A. Argyros
Hybrid One-Shot 3D Hand Pose Estimation by Exploiting Uncertainties. CoRR (2015)
Samuel Schulter, Christian Leistner, Horst Bischof
Fast and accurate image upscaling with super-resolution forests. CVPR (2015)
Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof
Accurate Object Detection with Joint Classification-Regression Random Forests. CVPR (2014)
Georg Poier, Samuel Schulter, Sabine Sternig, Peter M. Roth, Horst Bischof
Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras. GCPR (2014)
Samuel Schulter, Christian Leistner, Peter M. Roth, Horst Bischof
Unsupervised Object Discovery and Segmentation in Videos. BMVC (2013)
Samuel Schulter, Peter M. Roth, Horst Bischof
Ordinal Random Forests for Object Detection. GCPR (2013)
Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof
Alternating Regression Forests for Object Detection and Pose Estimation. ICCV (2013)
Samuel Schulter, Paul Wohlhart, Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof
Alternating Decision Forests. CVPR (2013)
Paul Wohlhart, Samuel Schulter, Martin Köstinger, Peter M. Roth, Horst Bischof
Discriminative Hough Forests for Object Detection. BMVC (2012)
Josef A. Birchbauer, Samuel Schulter, René Schuster, Georg Poier, Martin Winter, Peter Schallauer, Peter M. Roth, Horst Bischof
AVSS 2011 demo session: OUTLIER - online learning and visualization of unusual events. AVSS (2011)
Christian Leistner, Martin Godec, Samuel Schulter, Amir Saffari, Manuel Werlberger, Horst Bischof
Improving classifiers with unlabeled weakly-related videos. CVPR (2011)
René Schuster, Samuel Schulter, Georg Poier, Martin Hirzer, Josef A. Birchbauer, Peter M. Roth, Horst Bischof, Martin Winter, Peter Schallauer
Multi-cue learning and visualization of unusual events. ICCV Workshops (2011)
Samuel Schulter, Christian Leistner, Peter M. Roth, Horst Bischof, Luc Van Gool
On-line Hough Forests. BMVC (2011)