← Authors

Samuel Schulter

33 papers · 2013–2025 · 5 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (57) 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (5) 🌟 Keyword Trendsetter Combo (3) 🧬 Topic Evolution 🀝 Dynamic Duo (23) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (5) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (104) πŸ’Ž Century Club (33)

Conferences

CVPR (19) ECCV (6) ICCV (5) ICLR (2) NIPS (1)

Top co-authors

Manmohan Chandraker (23) Yumin Suh (7) Vijay Kumar B G (6) Yi-Hsuan Tsai (6) Horst Bischof (5) Shiyu Zhao (5) Buyu Liu (5) Christian Leistner (4) Zaid Khan (4) Xiang Yu (4)

Keywords

object detection (6) random forest (5) domain adaptation (5) semantic segmentation (4) large language model (3) vision-language model (3) knowledge distillation (3) open-vocabulary object detection (2) domain generalization (2) autonomous driving (2) multi-task learning (2) pseudo labeling (2) adversarial learning (2) ensemble learning (2) scene understanding (2) neural network architecture (2) structured output (2) open-vocabulary detection (2) visual question answering (2) zero-shot learning (1)

Papers

LiSu: A Dataset and Method for LiDAR Surface Normal Estimation CVPR 2025
Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation ICLR 2025
GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection CVPR 2025
Taming Self-Training for Open-Vocabulary Object Detection CVPR 2024
Generating Enhanced Negatives for Training Language-Based Object Detectors CVPR 2024
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement CVPR 2024
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving CVPR 2024
Exploring Question Decomposition for Zero-Shot VQA NIPS 2023
Efficient Controllable Multi-Task Architectures ICCV 2023
Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! CVPR 2023
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization CVPR 2023
OmniLabel: A Challenging Benchmark for Language-Based Object Detection ICCV 2023
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation CVPR 2022
Controllable Dynamic Multi-Task Architectures CVPR 2022
Single-Stream Multi-level Alignment for Vision-Language Pretraining ECCV 2022
Exploiting Unlabeled Data with Vision and Language Models for Object Detection ECCV 2022
On Generalizing Beyond Domains in Cross-Domain Continual Learning CVPR 2022
Domain Adaptive Semantic Segmentation Using Weak Labels ECCV 2020
Object Detection with a Unified Label Space from Multiple Datasets ECCV 2020
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations CVPR 2020
Understanding Road Layout From Videos as a Whole CVPR 2020
Shuffle and Attend: Video Domain Adaptation ECCV 2020
A Parametric Top-View Representation of Complex Road Scenes CVPR 2019
Learning To Simulate ICLR 2019
Domain Adaptation for Structured Output via Discriminative Patch Representations ICCV 2019
Learning to Adapt Structured Output Space for Semantic Segmentation CVPR 2018
Learning to Look around Objects for Top-View Representations of Outdoor Scenes ECCV 2018
Deep Network Flow for Multi-Object Tracking CVPR 2017
Fast and Accurate Image Upscaling With Super-Resolution Forests CVPR 2015
Conditioned Regression Models for Non-Blind Single Image Super-Resolution ICCV 2015
Accurate Object Detection with Joint Classification-Regression Random Forests CVPR 2014
Alternating Decision Forests CVPR 2013
Alternating Regression Forests for Object Detection and Pose Estimation ICCV 2013