Schulter, Samuel

32 publications

CVPR 2025 GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-Based 3D Object Detection Dušan Malić, Christian Fruhwirth-Reisinger, Samuel Schulter, Horst Possegger
CVPR 2025 LiSu: A Dataset and Method for LiDAR Surface Normal Estimation Dušan Malić, Christian Fruhwirth-Reisinger, Samuel Schulter, Horst Possegger
ICLR 2025 Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker
NeurIPS 2025 STSBench: A Spatio-Temporal Scenario Benchmark for Multi-Modal Large Language Models in Autonomous Driving Christian Fruhwirth-Reisinger, Dušan Malić, Wei Lin, David Schinagl, Samuel Schulter, Horst Possegger
CVPR 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
CVPR 2024 Generating Enhanced Negatives for Training Language-Based Object Detectors Shiyu Zhao, Long Zhao, B G Vijay Kumar, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter
CVPRW 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
CVPR 2024 Self-Training Large Language Models for Improved Visual Program Synthesis with Visual Reinforcement Zaid Khan, Vijay Kumar Bg, Samuel Schulter, Yun Fu, Manmohan Chandraker
CVPR 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
ICCV 2023 Efficient Controllable Multi-Task Architectures Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh
NeurIPS 2023 Exploring Question Decomposition for Zero-Shot VQA Zaid Khan, B G Vijay Kumar, Samuel Schulter, Manmohan Chandraker, Yun Fu
CVPR 2023 NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization Zhixiang Min, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Enrique Dunn, Manmohan Chandraker
ICCV 2023 OmniLabel: A Challenging Benchmark for Language-Based Object Detection Samuel Schulter, B G Vijay Kumar, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris Metaxas
CVPR 2023 Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? a: Self-Train on Unlabeled Images! Zaid Khan, Vijay Kumar Bg, Samuel Schulter, Xiang Yu, Yun Fu, Manmohan Chandraker
CVPR 2022 Controllable Dynamic Multi-Task Architectures Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker
ECCV 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
CVPR 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
CVPR 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
ECCV 2022 Single-Stream Multi-Level Alignment for Vision-Language Pretraining Zaid Khan, B G Vijay Kumar, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu
ECCV 2020 Domain Adaptive Semantic Segmentation Using Weak Labels Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker
ECCV 2020 Object Detection with a Unified Label Space from Multiple Datasets Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu
ECCV 2020 Shuffle and Attend: Video Domain Adaptation Jinwoo Choi, Gaurav Sharma, Samuel Schulter, Jia-Bin Huang
ICLR 2019 Learning to Simulate Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker
WACV 2019 Memory Warps for Long-Term Online Video Representations and Anticipation Tuan-Hung Vu, Wongun Choi, Samuel Schulter, Manmohan Chandraker
ECCV 2018 Learning to Look Around Objects for Top-View Representations of Outdoor Scenes Samuel Schulter, Menghua Zhai, Nathan Jacobs, Manmohan Chandraker
CVPR 2017 Deep Network Flow for Multi-Object Tracking Samuel Schulter, Paul Vernaza, Wongun Choi, Manmohan Chandraker
ICCV 2015 Conditioned Regression Models for Non-Blind Single Image Super-Resolution Gernot Riegler, Samuel Schulter, Matthias Ruther, Horst Bischof
CVPR 2015 Fast and Accurate Image Upscaling with Super-Resolution Forests Samuel Schulter, Christian Leistner, Horst Bischof
CVPR 2014 Accurate Object Detection with Joint Classification-Regression Random Forests Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof
CVPR 2013 Alternating Decision Forests Samuel Schulter, Paul Wohlhart, Christian Leistner, Amir Saffari, Peter M. Roth, Horst Bischof
ICCV 2013 Alternating Regression Forests for Object Detection and Pose Estimation Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof
CVPR 2011 Improving Classifiers with Unlabeled Weakly-Related Videos Christian Leistner, Martin Godec, Samuel Schulter, Amir Saffari, Manuel Werlberger, Horst Bischof