Samuel Schulter
Senior research scientist at NEC Laboratories America, Inc (NEC Laboratories America, Inc., Amazon). My research interests are in computer vision and machine learning.
Google Scholar
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LinkedIn
I'm co-organizing a workshop at CVPR 2023 titled OmniLabel: Infinite label spaces for semantic understanding via natural language. Check out the website of the workshop at https://sites.google.com/view/omnilabel-workshop-cvpr23. More details on the new benchmark can be found at https://www.omnilabel.org and https://arxiv.org/abs/2304.11463
Publications
2024
CVPR 2024
Generating Enhanced Negatives for Training Language-Based Object Detectors
pdf,
code
Shiyu Zhao,
Long Zhao,
Vijay Kumar B.G.,
Yumin Suh,
Dimitris Metaxas,
Manmohan Chandraker,
Samuel Schulter
CVPR 2024
Taming Self-Training for Open-Vocabulary Object Detection
pdf,
code
Shiyu Zhao,
Samuel Schulter,
Long Zhao,
Zhixing Zhang,
Vijay Kumar B.G.,
Yumin Suh,
Manmohan Chandraker,
Dimitris Metaxas
CVPR 2024
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement
Coming soon ...
Zaid Khan,
Vijay Kumar B.G.,
Samuel Schulter,
Yun Fu,
Manmohan Chandraker
CVPR 2024
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving
Coming soon ...
Mingfu Liang
Jong-Chyi Su
Samuel Schulter
Sparsh Garg,
Shiyu Zhao,
Ying Wu
Manmohan Chandraker
2023
NeurIPS 2023
Exploring Question Decomposition for Zero-Shot VQA
pdf, project
Zaid Khan,
Vijay Kumar B.G.,
Samuel Schulter,
Manmohan Chandraker,
Yun Fu
ICCV 2023
OmniLabel: A Challenging Benchmark for Language-Based Object Detection
pdf,
code,
project,
data
RSIP Vision article
Samuel Schulter,
Vijay Kumar B.G.,
Yumin Suh,
Konstantinos M. Dafnis,
Zhixing Zhang,
Shiyu Zhao,
Dimitris Metaxas
ICCV 2023
Efficient Controllable Multi-Task Architectures
pdf
Abhishek Aich,
Samuel Schulter,
Amit K. Roy-Chowdhury,
Manmohan Chandraker
Yumin Suh
CVPR 2023
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!
pdf,
code
Zaid Khan,
Vijay Kumar B.G.,
Samuel Schulter
Xiang Yu,
Yun Fu,
Manmohan Chandraker
CVPR 2023
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization
pdf
Zhixiang Min,
Bingbing Zhuang,
Samuel Schulter,
Buyu Liu,
Enrique Dunn,
Manmohan Chandraker
2022
ECCV 2022
Exploiting Unlabeled Data with Vision and Language Models for Object Detection
pdf,
code,
project
Shiyu Zhao,
Zhixing Zhang,
Samuel Schulter,
Long Zhao,
Vijay Kumar B.G.,
Anastasis Stathopoulos,
Manmohan Chandraker,
Dimitris Metaxas
ECCV 2022
Single-Stream Multi-Level Alignment for Vision-Language Pretraining
pdf,
code,
project
Zaid Khan,
Vijay Kumar B.G.,
Xiang Yu,
Samuel Schulter,
Manmohan Chandraker,
Yun Fu
CVPR 2022
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
pdf,
project
Inkyu Shin,
Yi-Hsuan Tsai,
Bingbing Zhuang,
Samuel Schulter,
Buyu Liu,
Sparsh Garg,
In So Kweon,
Kuk-Jin Yoon
CVPR 2022
Controllable Dynamic Multi-Task Architectures
pdf,
project
Dripta S. Raychaudhuri,
Yumin Suh,
Samuel Schulter,
Xiang Yu,
Masoud Faraki,
Amit K. Roy-Chowdhury,
Manmohan Chandraker
CVPR 2022
On Generalizing Beyond Domains in Cross-Domain Continual Learning
pdf
Christian Simon,
Masoud Faraki,
Yi-Hsuan Tsai,
Xiang Yu,
Samuel Schulter,
Yumin Suh,
Mehrtash Harandi,
Manmohan Chandraker
2021
arXiv 2021
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
pdf
Weizhe Liu,
David Ferstl,
Samuel Schulter,
Lukas Zebedin,
Pascal Fua,
Christian Leistner
2020
ECCV 2020
Object Detection with a Unified Label Space from Multiple Datasets
pdf,
supp,
dataset
Xiangyun Zhao,
Samuel Schulter, Gaurav Sharma,
Yi-Hsuan Tsai,
Manmohan Chandraker,
Ying Wu
ECCV 2020
Domain Adaptive Semantic Segmentation Using Weak Labels
pdf,
code,
project
Sujoy Paul,
Yi-Hsuan Tsai,
Samuel Schulter,
Amit K. Roy-Chowdhury,
Manmohan Chandraker
ECCV 2020
Shuffle and Attend: Video Domain Adaptation
pdf,
supp
Jinwoo Choi,
Gaurav Sharma,
Samuel Schulter,
Jia-Bin Huang
CVPR 2020
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations
pdf,
supp
Ziyu Jiang,
Buyu Liu,
Samuel Schulter,
Zhangyang Wang,
Manmohan Chandraker
CVPR 2020
Understanding Road Layout From Videos as a Whole
pdf,
supp
Buyu Liu,
Bingbing Zhuang,
Samuel Schulter,
Pan Ji,
Manmohan Chandraker
Older
ICCV 2019
Domain Adaptation for Structured Output via Discriminative Patch Representations
pdf,
supp
Yi-Hsuan Tsai,
Kihyuk Sohn,
Samuel Schulter,
Manmohan Chandraker
CVPR 2019
A Parametric Top-View Representation of Complex Road Scenes
pdf,
supp
Ziyan Wang,
Buyu Liu,
Samuel Schulter,
Manmohan Chandraker
CVPR-W 2019
A Dataset for High-Level 3D Scene Understanding of Complex Road Scenes in the Top-View
pdf,
project
Ziyan Wang,
Buyu Liu,
Samuel Schulter,
Manmohan Chandraker
ICLR 2019
Learning to Simulate
pdf,
poster,
openreview,
medium post
Nataniel Ruiz,
Samuel Schulter,
Manmohan Chandraker
WACV 2019
Memory Warps for Learning Long-Term Online Video Representations
pdf
Tuan-Hung Vu,
Wongun Choi,
Samuel Schulter,
Manmohan Chandraker
ECCV 2018
Learning to Look around Objects for Top-View Representations of Outdoor Scenes
pdf
Samuel Schulter,
Menghua Zhai,
Nathan Jacobs,
Manmohan Chandraker
CVPR 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
pdf,
supp,
code
Yi-Hsuan Tsai,
Wei-Chih Hung,
Samuel Schulter,
Kihyuk Sohn,
Ming-Hsuan Yang,
Manmohan Chandraker
CVPR 2017
Deep Network Flow for Multi-Object Tracking
pdf,
supp
Samuel Schulter,
Paul Vernaza,
Wongun Choi,
Manmohan Chandraker
CVWW 2017
Loss-Specific Training of Random Forests for Super-Resolution
pdf
Alexander Grabner,
Georg Poier,
Michael Opitz,
Samuel Schulter,
Peter M. Roth
ACM Journal on Computing and Cultural Heritage, 2016
Interactive 3D Segmentation of Rock-Art by Enhanced Depth Maps and Gradient Preserving Regularization
pdf
Matthias Zeppelzauer,
Georg Poier,
Markus Seidl,
Christian Reinbacher,
Samuel Schulter,
Christian Breiteneder,
Horst Bischof
ICCV 2015
Conditioned Regression Models for Non-Blind Single Image Super-Resolution
pdf
Gernot Riegler,
Samuel Schulter,
Matthias Ruether,
Horst Bischof
BMVC 2015
Hybrid One-Shot 3D Hand Pose Estimation by Exploiting Uncertainties
pdf,
project
Georg Poier,
Konstantinos Roditakis,
Samuel Schulter,
Damien Michel,
Horst Bischof,
Antonis A. Argyros
Digital Heritage Conference 2015
Interactive Segmentation of Rock-Art in High-Resolution 3D Reconstructions
pdf
Matthias Zeppelzauer,
Georg Poier,
Markus Seidl,
Christian Reinbacher,
Christian Breiteneder,
Horst Bischof,
Samuel Schulter
MICCAI 2015
You Should Use Regression to Detect Cells
pdf,
code
Philipp Kainz,
Martin Urschler,
Samuel Schulter,
Paul Wohlhart,
Vincent Lepetit
CVPR 2015
Fast and Accurate Super Resolution with Random Forests
pdf,
supp,
code
Samuel Schulter,
Christian Leistner,
Horst Bischof
GCPR 2014
Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras
pdf
Georg Poier,
Samuel Schulter,
Sabine Sternig,
Peter M. Roth,
Horst Bischof
CVPR 2014
Accurate Object Detection with Joint Classification-Regression Random Forests
pdf
Samuel Schulter,
Christian Leistner,
Paul Wohlhart,
Peter M. Roth,
Horst Bischof
ICCV 2013
Alternating Regression Forests for Object Detection and Pose Estimation
pdf,
code
Samuel Schulter,
Christian Leistner,
Paul Wohlhart,
Peter M. Roth,
Horst Bischof
BMVC 2013
Unsupervised Object Discovery and Segmentation in Videos
pdf
Samuel Schulter,
Christian Leistner,
Peter M. Roth,
Horst Bischof
GCPR 2013
Ordinal Random Forests for Object Detection
pdf
Samuel Schulter,
Peter M. Roth,
Horst Bischof
CVPR 2013
Alternating Decision Forests
pdf,
code
Samuel Schulter,
Paul Wohlhart,
Christian Leistner,
Amir Saffari,
Peter M. Roth,
Horst Bischof
BMVC 2012
Discriminative Hough Forests for Object Detection
pdf
Paul Wohlhart,
Samuel Schulter,
Martin Koestinger,
Peter M. Roth,
Horst Bischof
CVPR 2011
Improving Classifiers with Unlabeled Weakly-Related Videos
pdf,
code
Christian Leistner,
Martin Godec,
Samuel Schulter,
Amir Saffari,
Manuel Werlberger,
Horst Bischof
BMVC 2011
On-line Hough Forests
pdf,
code
Samuel Schulter,
Christian Leistner,
Peter M. Roth,
Luc Van Gool,
Horst Bischof