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ORCIDSamuel Schulter
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2020 – today
- 2024
[c43]Yumin Suh, Dongwan Kim, Abhishek Aich, Samuel Schulter, Jong-Chyi Su, Bohyung Han, Manmohan Chandraker:
Improving the Efficiency-Accuracy Trade-off of DETR-Style Models in Practice. CVPR Workshops 2024: 8027-8031- [c42]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. CVPR 2024: 13592-13602 - [c41]Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, B. G. Vijay Kumar, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas:
Taming Self-Training for Open-Vocabulary Object Detection. CVPR 2024: 13938-13947 - [c40]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. CVPR 2024: 14344-14353 - [c39]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. CVPR 2024: 14695-14706 - [i28]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 abs/2401.00094 (2024) - [i27]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 abs/2403.17373 (2024) - [i26]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 abs/2404.04627 (2024) - [i25]Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker:
Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation. CoRR abs/2404.14657 (2024) - [i24]Qilong Zhangli, Di Liu, Abhishek Aich, Dimitris N. Metaxas, Samuel Schulter:
Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation. CoRR abs/2409.09893 (2024) - 2023
- [c38]Zaid Khan, B. G. 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: 15005-15015 - [c37]Zhixiang Min, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Enrique Dunn, Manmohan Chandraker:
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization. CVPR 2023: 21404-21414 - [c36]Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh:
Efficient Controllable Multi-Task Architectures. ICCV 2023: 5717-5728 - [c35]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: 11919-11928 - [c34]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Exploring Question Decomposition for Zero-Shot VQA. NeurIPS 2023 - [i23]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 abs/2304.11463 (2023) - [i22]Zhixiang Min, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Enrique Dunn, Manmohan Chandraker:
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization. CoRR abs/2305.17763 (2023) - [i21]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 abs/2306.03932 (2023) - [i20]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 abs/2308.06412 (2023) - [i19]Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh:
Efficient Controllable Multi-Task Architectures. CoRR abs/2308.11744 (2023) - [i18]Zaid Khan, Vijay Kumar B. G, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Exploring Question Decomposition for Zero-Shot VQA. CoRR abs/2310.17050 (2023) - 2022
- [c33]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: 9255-9264 - [c32]Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Controllable Dynamic Multi-Task Architectures. CVPR 2022: 10945-10954 - [c31]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: 16907-16916 - [c30]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: 159-175 - [c29]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: 735-751 - [i17]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 abs/2203.03970 (2022) - [i16]Zaid Khan, Vijay Kumar B. G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu:
Single-Stream Multi-Level Alignment for Vision-Language Pretraining. CoRR abs/2203.14395 (2022) - [i15]Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Controllable Dynamic Multi-Task Architectures. CoRR abs/2203.14949 (2022) - [i14]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 abs/2204.12667 (2022) - [i13]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 abs/2207.08954 (2022) - 2021
- [i12]Weizhe Liu, David Ferstl, Samuel Schulter, Lukas Zebedin, Pascal Fua, Christian Leistner:
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning. CoRR abs/2104.11056 (2021) - 2020
- [c28]Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker:
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. CVPR 2020: 110-118 - [c27]Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker:
Understanding Road Layout From Videos as a Whole. CVPR 2020: 4413-4422 - [c26]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: 178-193 - [c25]Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Domain Adaptive Semantic Segmentation Using Weak Labels. ECCV (9) 2020: 571-587 - [c24]Jinwoo Choi, Gaurav Sharma, Samuel Schulter, Jia-Bin Huang:
Shuffle and Attend: Video Domain Adaptation. ECCV (12) 2020: 678-695 - [i11]Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker:
Understanding Road Layout from Videos as a Whole. CoRR abs/2007.00822 (2020) - [i10]Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker:
Domain Adaptive Semantic Segmentation Using Weak Labels. CoRR abs/2007.15176 (2020) - [i9]Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu:
Object Detection with a Unified Label Space from Multiple Datasets. CoRR abs/2008.06614 (2020)
2010 – 2019
- 2019
- [c23]Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker:
A Parametric Top-View Representation of Complex Road Scenes. CVPR 2019: 10325-10333 - [c22]Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker:
Domain Adaptation for Structured Output via Discriminative Patch Representations. ICCV 2019: 1456-1465 - [c21]Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker:
Learning To Simulate. ICLR (Poster) 2019 - [c20]Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker:
Memory Warps for Long-Term Online Video Representations and Anticipation. WACV 2019: 1156-1165 - [i8]Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker:
Domain Adaptation for Structured Output via Discriminative Patch Representations. CoRR abs/1901.05427 (2019) - 2018
- [c19]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: 7472-7481 - [c18]Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker:
Learning to Look around Objects for Top-View Representations of Outdoor Scenes. ECCV (15) 2018: 815-831 - [i7]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 abs/1802.10349 (2018) - [i6]Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker:
Memory Warps for Learning Long-Term Online Video Representations. CoRR abs/1803.10861 (2018) - [i5]Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker:
Learning to Look around Objects for Top-View Representations of Outdoor Scenes. CoRR abs/1803.10870 (2018) - [i4]Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker:
Learning To Simulate. CoRR abs/1810.02513 (2018) - [i3]Ziyan Wang, Buyu Liu, Samuel Schulter, Manmohan Chandraker:
A Parametric Top-View Representation of Complex Road Scenes. CoRR abs/1812.06152 (2018) - 2017
- [c17]Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker:
Deep Network Flow for Multi-object Tracking. CVPR 2017: 2730-2739 - [i2]Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker:
Deep Network Flow for Multi-Object Tracking. CoRR abs/1706.08482 (2017) - 2016
- [j1]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): 19:1-19:30 (2016) - 2015
- [c16]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: 182.1-182.14 - [c15]Samuel Schulter, Christian Leistner, Horst Bischof:
Fast and accurate image upscaling with super-resolution forests. CVPR 2015: 3791-3799 - [c14]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: 37-44 - [c13]Gernot Riegler, Samuel Schulter, Matthias Rüther, Horst Bischof:
Conditioned Regression Models for Non-blind Single Image Super-Resolution. ICCV 2015: 522-530 - [c12]Philipp Kainz, Martin Urschler, Samuel Schulter, Paul Wohlhart, Vincent Lepetit:
You Should Use Regression to Detect Cells. MICCAI (3) 2015: 276-283 - [i1]Georg Poier, Konstantinos Roditakis, Samuel Schulter, Damien Michel, Horst Bischof, Antonis A. Argyros:
Hybrid One-Shot 3D Hand Pose Estimation by Exploiting Uncertainties. CoRR abs/1510.08039 (2015) - 2014
- [c11]Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof:
Accurate Object Detection with Joint Classification-Regression Random Forests. CVPR 2014: 923-930 - [c10]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: 499-510 - 2013
- [c9]Samuel Schulter, Christian Leistner, Peter M. Roth, Horst Bischof:
Unsupervised Object Discovery and Segmentation in Videos. BMVC 2013 - [c8]Samuel Schulter, Paul Wohlhart, Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof:
Alternating Decision Forests. CVPR 2013: 508-515 - [c7]Samuel Schulter, Peter M. Roth, Horst Bischof:
Ordinal Random Forests for Object Detection. GCPR 2013: 261-270 - [c6]Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof:
Alternating Regression Forests for Object Detection and Pose Estimation. ICCV 2013: 417-424 - 2012
- [c5]Paul Wohlhart, Samuel Schulter, Martin Köstinger, Peter M. Roth, Horst Bischof:
Discriminative Hough Forests for Object Detection. BMVC 2012: 1-11 - 2011
- [c4]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: 533-534 - [c3]Samuel Schulter, Christian Leistner, Peter M. Roth, Horst Bischof, Luc Van Gool:
On-line Hough Forests. BMVC 2011: 1-11 - [c2]Christian Leistner, Martin Godec, Samuel Schulter, Amir Saffari, Manuel Werlberger, Horst Bischof:
Improving classifiers with unlabeled weakly-related videos. CVPR 2011: 2753-2760 - [c1]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: 1933-1940
Coauthor Index
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last updated on 2024-10-14 23:26 CEST by the dblp team
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