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 (AVSS, 2011)

On-line Hough Forests. - Samuel Schulter; Christian Leistner; Peter M. Roth; Horst Bischof; Luc Van Gool (BMVC, 2011)

Improving classifiers with unlabeled weakly-related videos. - Christian Leistner; Martin Godec; Samuel Schulter; Amir Saffari; Manuel Werlberger; Horst Bischof (CVPR, 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 (ICCV Workshops, 2011)

Discriminative Hough Forests for Object Detection. - Paul Wohlhart; Samuel Schulter; Martin Köstinger; Peter M. Roth; Horst Bischof (BMVC, 2012)

Unsupervised Object Discovery and Segmentation in Videos. - Samuel Schulter; Christian Leistner; Peter M. Roth; Horst Bischof (BMVC, 2013)

Alternating Decision Forests. - Samuel Schulter; Paul Wohlhart; Christian Leistner; Amir Saffari; Peter M. Roth; Horst Bischof (CVPR, 2013)

Ordinal Random Forests for Object Detection. - Samuel Schulter; Peter M. Roth; Horst Bischof (GCPR, 2013)

Alternating Regression Forests for Object Detection and Pose Estimation. - Samuel Schulter; Christian Leistner; Paul Wohlhart; Peter M. Roth; Horst Bischof (ICCV, 2013)

Accurate Object Detection with Joint Classification-Regression Random Forests. - Samuel Schulter; Christian Leistner; Paul Wohlhart; Peter M. Roth; Horst Bischof (CVPR, 2014)

Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras. - Georg Poier; Samuel Schulter; Sabine Sternig; Peter M. Roth; Horst Bischof (GCPR, 2014)

Hybrid One-Shot 3D Hand Pose Estimation by Exploiting Uncertainties. - Georg Poier; Konstantinos Roditakis; Samuel Schulter; Damien Michel; Horst Bischof; Antonis A. Argyros (BMVC, 2015)

Fast and accurate image upscaling with super-resolution forests. - Samuel Schulter; Christian Leistner; Horst Bischof (CVPR, 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 (Digital Heritage, 2015)

Conditioned Regression Models for Non-blind Single Image Super-Resolution. - Gernot Riegler; Samuel Schulter; Matthias Rüther; Horst Bischof (ICCV, 2015)

You Should Use Regression to Detect Cells. - Philipp Kainz; Martin Urschler; Samuel Schulter; Paul Wohlhart; Vincent Lepetit (MICCAI (3), 2015)

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)

Deep Network Flow for Multi-object Tracking. - Samuel Schulter; Paul Vernaza; Wongun Choi; Manmohan Chandraker (CVPR, 2017)

Learning to Adapt Structured Output Space for Semantic Segmentation. - Yi-Hsuan Tsai; Wei-Chih Hung; Samuel Schulter; Kihyuk Sohn; Ming-Hsuan Yang 001; Manmohan Chandraker (CVPR, 2018)

Learning to Look around Objects for Top-View Representations of Outdoor Scenes. - Samuel Schulter; Menghua Zhai; Nathan Jacobs; Manmohan Chandraker (ECCV (15), 2018)

Memory Warps for Learning Long-Term Online Video Representations. - Tuan-Hung Vu; Wongun Choi; Samuel Schulter; Manmohan Chandraker (CoRR, 2018)

A Parametric Top-View Representation of Complex Road Scenes. - Ziyan Wang; Buyu Liu; Samuel Schulter; Manmohan Chandraker (CVPR, 2019)

Domain Adaptation for Structured Output via Discriminative Patch Representations. - Yi-Hsuan Tsai; Kihyuk Sohn; Samuel Schulter; Manmohan Chandraker (ICCV, 2019)

Learning To Simulate. - Nataniel Ruiz; Samuel Schulter; Manmohan Chandraker (ICLR (Poster), 2019)

Memory Warps for Long-Term Online Video Representations and Anticipation. - Tuan-Hung Vu; Wongun Choi; Samuel Schulter; Manmohan Chandraker (WACV, 2019)

Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. - Ziyu Jiang; Buyu Liu; Samuel Schulter; Zhangyang Wang; Manmohan Chandraker (CVPR, 2020)

Understanding Road Layout From Videos as a Whole. - Buyu Liu; Bingbing Zhuang; Samuel Schulter; Pan Ji; Manmohan Chandraker (CVPR, 2020)

Shuffle and Attend: Video Domain Adaptation. - Jinwoo Choi 001; Gaurav Sharma; Samuel Schulter; Jia-Bin Huang 001 (ECCV (12), 2020)

Domain Adaptive Semantic Segmentation Using Weak Labels. - Sujoy Paul; Yi-Hsuan Tsai; Samuel Schulter; Amit K. Roy-Chowdhury; Manmohan Chandraker (ECCV (9), 2020)

Object Detection with a Unified Label Space from Multiple Datasets. - Xiangyun Zhao; Samuel Schulter; Gaurav Sharma; Yi-Hsuan Tsai; Manmohan Chandraker; Ying Wu 001 (ECCV (14), 2020)

Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning. - Weizhe Liu; David Ferstl; Samuel Schulter; Lukas Zebedin; Pascal Fua; Christian Leistner (CoRR, 2021)

Controllable Dynamic Multi-Task Architectures. - Dripta S. Raychaudhuri; Yumin Suh; Samuel Schulter; Xiang Yu 002; Masoud Faraki; Amit K. Roy-Chowdhury; Manmohan Chandraker (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 002; Samuel Schulter; Yumin Suh; Mehrtash Harandi; Manmohan Chandraker (CVPR, 2022)

Single-Stream Multi-level Alignment for Vision-Language Pretraining. - Zaid Khan 001; B. G. Vijay Kumar; Xiang Yu 002; Samuel Schulter; Manmohan Chandraker; Yun Fu 001 (ECCV (36), 2022)

Exploiting Unlabeled Data with Vision and Language Models for Object Detection. - Shiyu Zhao; Zhixing Zhang; Samuel Schulter; Long Zhao 003; B. G. Vijay Kumar; Anastasis Stathopoulos; Manmohan Chandraker; Dimitris N. Metaxas (ECCV (9), 2022)

Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! - Zaid Khan 001; B. G. Vijay Kumar; Samuel Schulter; Xiang Yu 002; Yun Fu 001; Manmohan Chandraker (CVPR, 2023)

NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization. - Zhixiang Min; Bingbing Zhuang; Samuel Schulter; Buyu Liu; Enrique Dunn; Manmohan Chandraker (CVPR, 2023)

Efficient Controllable Multi-Task Architectures. - Abhishek Aich; Samuel Schulter; Amit K. Roy-Chowdhury; Manmohan Chandraker; Yumin Suh (ICCV, 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 (ICCV, 2023)

Exploring Question Decomposition for Zero-Shot VQA. - Zaid Khan 001; Vijay Kumar B. G; Samuel Schulter; Manmohan Chandraker; Yun Fu 001 (NeurIPS, 2023)

Improving Pseudo Labels for Open-Vocabulary Object Detection. - Shiyu Zhao; Samuel Schulter; Long Zhao 003; Zhixing Zhang; Vijay Kumar B. G; Yumin Suh; Manmohan Chandraker; Dimitris N. Metaxas (CoRR, 2023)

Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. - Zaid Khan 001; Vijay Kumar B. G; Samuel Schulter; Yun Fu 001; Manmohan Chandraker (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 001; Manmohan Chandraker (CVPR, 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 Workshops, 2024)

Generating Enhanced Negatives for Training Language-Based Object Detectors. - Shiyu Zhao; Long Zhao 003; Vijay Kumar B. G; Yumin Suh; Dimitris N. Metaxas; Manmohan Chandraker; Samuel Schulter (CVPR, 2024)

Taming Self-Training for Open-Vocabulary Object Detection. - Shiyu Zhao; Samuel Schulter; Long Zhao 003; Zhixing Zhang; B. G. Vijay Kumar; Yumin Suh; Manmohan Chandraker; Dimitris N. Metaxas (CVPR, 2024)

Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation. - Qilong Zhangli; Di Liu 003; Abhishek Aich; Dimitris N. Metaxas; Samuel Schulter (CoRR, 2024)

LiSu: A Dataset and Method for LiDAR Surface Normal Estimation. - Dusan Malic; Christian Fruhwirth-Reisinger; Samuel Schulter; Horst Possegger (CVPR, 2025)

GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection. - Dusan Malic; Christian Fruhwirth-Reisinger; Samuel Schulter; Horst Possegger (CVPR, 2025)

Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation. - Abhishek Aich; Yumin Suh; Samuel Schulter; Manmohan Chandraker (ICLR, 2025)

STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving. - Christian Fruhwirth-Reisinger; Dusan Malic; Wei Lin 019; David Schinagl; Samuel Schulter; Horst Possegger (CoRR, 2025)