Samuel Schulter
34 papers · 2013–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (58) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Conference Loyalist
(20)
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Keyword Pioneer
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Topic Evolution
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Dynamic Duo
(23)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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The Questioner
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Trend Setter
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Keyword Collector
(116)
Venues
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Research topics
Computer Vision
(21)
Machine Learning
(21)
Analysis
(15)
Deep Learning
(12)
Application Areas
(12)
Learning Types Β· Machine Learning
(9)
Learning Types Β· Deep Learning
(8)
Artificial Intelligence
(7)
Core Methods
(6)
Domain-Specific
(6)
Core AI
(5)
Architectures
(4)
Processing
(4)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Keywords
object detection
(6)
random forest
(5)
domain adaptation
(5)
semantic segmentation
(4)
large language model
(3)
vision-language model
(3)
knowledge distillation
(3)
reinforcement learning
(3)
pseudo labeling
(2)
data augmentation
(2)
autonomous driving
(2)
domain generalization
(2)
neural network architecture
(2)
structured output
(2)
multi-task learning
(2)
visual question answering
(2)
scene understanding
(2)
adversarial learning
(2)
ensemble learning
(2)
open-vocabulary detection
(2)
Papers
InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions
CVPR 2026
GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection
CVPR 2025
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
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving
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
Taming Self-Training for Open-Vocabulary Object Detection
CVPR 2024
Efficient Controllable Multi-Task Architectures
ICCV 2023
Exploring Question Decomposition for Zero-Shot VQA
NeurIPS 2023
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization
CVPR 2023
OmniLabel: A Challenging Benchmark for Language-Based Object Detection
ICCV 2023
Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!
CVPR 2023
Controllable Dynamic Multi-Task Architectures
CVPR 2022
Exploiting Unlabeled Data with Vision and Language Models for Object Detection
ECCV 2022
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
CVPR 2022
On Generalizing Beyond Domains in Cross-Domain Continual Learning
CVPR 2022
Single-Stream Multi-level Alignment for Vision-Language Pretraining
ECCV 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
Shuffle and Attend: Video Domain Adaptation
ECCV 2020
Understanding Road Layout From Videos as a Whole
CVPR 2020
A Parametric Top-View Representation of Complex Road Scenes
CVPR 2019
Domain Adaptation for Structured Output via Discriminative Patch Representations
ICCV 2019
Learning To Simulate
ICLR 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
Conditioned Regression Models for Non-Blind Single Image Super-Resolution
ICCV 2015
Fast and Accurate Image Upscaling With Super-Resolution Forests
CVPR 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