Samuel Schulter

According to our database, Samuel Schulter authored at least 49 papers between 2011 and 2024.

Collaborative distances:

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

2024

Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation.

Qilong Zhangli, Di Liu, Abhishek Aich, Dimitris N. Metaxas, Samuel Schulter

CoRR, 2024

Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation.

Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker

CoRR, 2024

Taming Self-Training for Open-Vocabulary Object Detection.

Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, B. G. Vijay Kumar, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas

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

Generating Enhanced Negatives for Training Language-Based Object Detectors.

Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter

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

Improving the Efficiency-Accuracy Trade-off of DETR-Style Models in Practice.

Yumin Suh, Dongwan Kim, Abhishek Aich, Samuel Schulter, Jong-Chyi Su, Bohyung Han, Manmohan Chandraker

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

AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving.

Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker

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

Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement.

Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Yun Fu, Manmohan Chandraker

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

2023

Improving Pseudo Labels for Open-Vocabulary Object Detection.

Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas

CoRR, 2023

Exploring Question Decomposition for Zero-Shot VQA.

Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OmniLabel: A Challenging Benchmark for Language-Based Object Detection.

Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas

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

Efficient Controllable Multi-Task Architectures.

Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh

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

NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization.

Zhixiang Min, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Enrique Dunn, Manmohan Chandraker

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

Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!

Zaid Khan, B. G. Vijay Kumar, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker

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

2022

Exploiting Unlabeled Data with Vision and Language Models for Object Detection.

Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, B. G. Vijay Kumar, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2022, 2022

Single-Stream Multi-level Alignment for Vision-Language Pretraining.

Zaid Khan, B. G. Vijay Kumar, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu

Proceedings of the Computer Vision - ECCV 2022, 2022

On Generalizing Beyond Domains in Cross-Domain Continual Learning.

Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker

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

MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation.

Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon

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

Controllable Dynamic Multi-Task Architectures.

Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker

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

2021

Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning.

Weizhe Liu, David Ferstl, Samuel Schulter, Lukas Zebedin, Pascal Fua, Christian Leistner

CoRR, 2021

2020

Object Detection with a Unified Label Space from Multiple Datasets.

Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu

Proceedings of the Computer Vision - ECCV 2020, 2020

Domain Adaptive Semantic Segmentation Using Weak Labels.

Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker

Proceedings of the Computer Vision - ECCV 2020, 2020

Shuffle and Attend: Video Domain Adaptation.

Jinwoo Choi, Gaurav Sharma, Samuel Schulter, Jia-Bin Huang

Proceedings of the Computer Vision - ECCV 2020, 2020

Understanding Road Layout From Videos as a Whole.

Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker

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

Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations.

Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker

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

2019

Memory Warps for Long-Term Online Video Representations and Anticipation.

Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Learning To Simulate.

Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker

Proceedings of the 7th International Conference on Learning Representations, 2019

Domain Adaptation for Structured Output via Discriminative Patch Representations.

Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Parametric Top-View Representation of Complex Road Scenes.

Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Memory Warps for Learning Long-Term Online Video Representations.

Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker

CoRR, 2018

Learning to Look around Objects for Top-View Representations of Outdoor Scenes.

Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning to Adapt Structured Output Space for Semantic Segmentation.

Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Deep Network Flow for Multi-object Tracking.

Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Interactive 3D Segmentation of Rock-Art by Enhanced Depth Maps and Gradient Preserving Regularization.

Matthias Zeppelzauer, Georg Poier, Markus Seidl, Christian Reinbacher, Samuel Schulter, Christian Breiteneder, Horst Bischof

ACM Journal on Computing and Cultural Heritage, 2016

2015

You Should Use Regression to Detect Cells.

Philipp Kainz, Martin Urschler, Samuel Schulter, Paul Wohlhart, Vincent Lepetit

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Conditioned Regression Models for Non-blind Single Image Super-Resolution.

Gernot Riegler, Samuel Schulter, Matthias Rüther, Horst Bischof

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Interactive segmentation of rock-art in high-resolution 3D reconstructions.

Matthias Zeppelzauer, Georg Poier, Markus Seidl, Christian Reinbacher, Christian Breiteneder, Horst Bischof, Samuel Schulter

Proceedings of the 2nd Digital Heritage International Congress, 2015

Fast and accurate image upscaling with super-resolution forests.

Samuel Schulter, Christian Leistner, Horst Bischof

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Hybrid One-Shot 3D Hand Pose Estimation by Exploiting Uncertainties.

Georg Poier, Konstantinos Roditakis, Samuel Schulter, Damien Michel, Horst Bischof, Antonis A. Argyros

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras.

Georg Poier, Samuel Schulter, Sabine Sternig, Peter M. Roth, Horst Bischof

Proceedings of the Pattern Recognition - 36th German Conference, 2014

Accurate Object Detection with Joint Classification-Regression Random Forests.

Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Alternating Regression Forests for Object Detection and Pose Estimation.

Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof

Proceedings of the IEEE International Conference on Computer Vision, 2013

Ordinal Random Forests for Object Detection.

Samuel Schulter, Peter M. Roth, Horst Bischof

Proceedings of the Pattern Recognition - 35th German Conference, 2013

Alternating Decision Forests.

Samuel Schulter, Paul Wohlhart, Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Unsupervised Object Discovery and Segmentation in Videos.

Samuel Schulter, Christian Leistner, Peter M. Roth, Horst Bischof

Proceedings of the British Machine Vision Conference, 2013

2012

Discriminative Hough Forests for Object Detection.

Paul Wohlhart, Samuel Schulter, Martin Köstinger, Peter M. Roth, Horst Bischof

Proceedings of the British Machine Vision Conference, 2012

2011

Multi-cue learning and visualization of unusual events.

René Schuster, Samuel Schulter, Georg Poier, Martin Hirzer, Josef A. Birchbauer, Peter M. Roth, Horst Bischof, Martin Winter, Peter Schallauer

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Improving classifiers with unlabeled weakly-related videos.

Christian Leistner, Martin Godec, Samuel Schulter, Amir Saffari, Manuel Werlberger, Horst Bischof

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

On-line Hough Forests.

Samuel Schulter, Christian Leistner, Peter M. Roth, Horst Bischof, Luc Van Gool

Proceedings of the British Machine Vision Conference, 2011

AVSS 2011 demo session: OUTLIER - online learning and visualization of unusual events.

Josef A. Birchbauer, Samuel Schulter, René Schuster, Georg Poier, Martin Winter, Peter Schallauer, Peter M. Roth, Horst Bischof

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011