Gregory D. Hager

24 papers · 2006–2026 · 8 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🏃 Academic Marathon (20) 🐝 Cross-Pollinator (9) 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)

🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (8) 🏃 Academic Marathon (20) 🌟 Keyword Trendsetter Combo (5) 🧬 Topic Evolution 🌱 Topic Pioneer 🏆 Keyword Champion 🗃️ Keyword Collector (135) 🚀 Conference Pioneer 🔥 Unstoppable (8) ⚡ Prolific Year (5) 💎 Century Club (24) 📈 Trend Setter

Conferences

CVPR (9) WACV (4) ECCV (3) MIDL (3) ICCV (2) AAAI (1) CORL (1) NIPS (1)

Top co-authors

Jin Bai (3) Iro Laina (3) Nassir Navab (3) Chi Li (3) Mathias Unberath (3) Christian Rupprecht (3) Federico Tombari (3) Omri Bar (2) Shun Miao (2) Le Lu (2)

Keywords

video understanding (3) object detection (3) semantic segmentation (2) semi-supervised learning (2) self-supervised learning (2) representation learning (2) synthetic datum (2) convolutional neural network (2) action segmentation (2) action detection (2) domain adaptation (2) image generation (1) image segmentation (1) robotic manipulation (1) few-shot learning (1) feature learning (1) 3d reconstruction (1) multi-task learning (1) feature extraction (1) zero-shot learning (1)

Papers

CAST: Evaluating Multi-Object Trackers with Context-Aware Switch and Transfer Scores WACV 2026 Embedding Task Structure for Action Detection WACV 2024 Mapping DNN Embedding Manifolds for Network Generalization Prediction WACV 2023 Coarse-to-Fine Incremental Few-Shot Learning ECCV 2022 Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains WACV 2022 DASZL: Dynamic Action Signatures for Zero-shot Learning AAAI 2021 Motion Guided Attention Fusion To Recognize Interactions From Videos ICCV 2021 Neighborhood Normalization for Robust Geometric Feature Learning CVPR 2021 “Train one, Classify one, Teach one” - Cross-surgery transfer learning for surgical step recognition MIDL 2021 "Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer CORL 2021 Semantic Image Manipulation Using Scene Graphs CVPR 2020 Accurate Detection of Out of Body Segments in Surgical Video using Semi-Supervised Learning MIDL 2020 Extremely Dense Point Correspondences Using a Learned Feature Descriptor CVPR 2020 Learning Geocentric Object Pose in Oblique Monocular Images CVPR 2020 Learning From Synthetic Animals CVPR 2020 Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images ECCV 2020 Deep Hierarchical Multi-label Classification of Chest X-ray Images MIDL 2019 A Unified Framework for Multi-View Multi-Class Object Pose Estimation ECCV 2018 Guide Me: Interacting With Deep Networks CVPR 2018 Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses ICCV 2017 Deep Supervision With Shape Concepts for Occlusion-Aware 3D Object Parsing CVPR 2017 Temporal Convolutional Networks for Action Segmentation and Detection CVPR 2017 Beyond Spatial Pooling: Fine-Grained Representation Learning in Multiple Domains CVPR 2015 Dynamic Foreground/Background Extraction from Images and Videos using Random Patches NIPS 2006