Eric Granger
43 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Academic Marathon (8) π§ Keyword Pioneer π Conference Polyglot (9) π Renaissance Researcher (8)
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Renaissance Researcher
(8)
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Interdisciplinary Bridge
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Taxonomy Completionist
(66)
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Conference Loyalist
(23)
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Keyword Champion
π€
Dynamic Duo
(20)
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Grand Slam
ποΈ
Keyword Collector
(159)
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Century Club
(40)
π₯
Unstoppable
(9)
β‘
Prolific Year
(6)
π
Conference Pioneer
Conferences
WACV (23)
AAAI (4)
MIDL (4)
ECCV (3)
ICCV (3)
CVPR (2)
NIPS (2)
ICLR (1)
ICML (1)
Top co-authors
Research topics
Keywords
domain adaptation
(8)
object detection
(6)
weakly supervised learning
(6)
person re-identification
(5)
domain generalization
(5)
image segmentation
(4)
convolutional neural network
(4)
multi-source domain adaptation
(4)
transfer learning
(4)
contrastive learning
(3)
multimodal learning
(3)
neural network
(3)
vision-language model
(3)
object localization
(3)
prototype learning
(3)
class activation mapping
(3)
multi-task learning
(2)
video understanding
(2)
feature alignment
(2)
cross-modal learning
(2)
Papers
WiSE-OD: Benchmarking Robustness in Infrared Object Detection
WACV 2026
DogFit: Domain-guided Fine-tuning for Efficient Transfer Learning of Diffusion Models
AAAI 2026
Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification
WACV 2026
Pretraining Helps When Capacity Allows: Evidence from Ultra-Small ConvNets
WACV 2026
MixER: From Cross-Modal to Mixed-Modal Visible-Infrared Re-Identification
WACV 2026
MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training
WACV 2026
High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization
WACV 2026
CLIP-IT: CLIP-based Pairing of Histology Images with Privileged Textual Information
WACV 2026
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
AAAI 2026
PixelCAM: Pixel Class Activation Mapping for Histology Image Classification and ROI Localization
MIDL 2025
Mixed Patch Visible-Infrared Modality Agnostic Object Detection
WACV 2025
A Realistic Protocol for Evaluation of Weakly Supervised Object Localization
WACV 2025
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification
WACV 2025
Attention-Based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors
WACV 2025
Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation
ICCV 2025
Visual Modality Prompt for Adapting Vision-Language Object Detectors
ICCV 2025
TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning
ICLR 2025
Multi-Source Domain Adaptation for Object Detection With Prototype-Based Mean Teacher
WACV 2024
SeTformer Is What You Need for Vision and Language
AAAI 2024
Domain Generalization by Rejecting Extreme Augmentations
WACV 2024
Modality Translation for Object Detection Adaptation without forgetting prior knowledge
ECCV 2024
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information
WACV 2024
SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution
NIPS 2024
Re-Basin via Implicit Sinkhorn Differentiation
CVPR 2023
TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization
WACV 2023
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID
WACV 2023
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos
WACV 2023
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling
WACV 2022
Negative Evidence Matters in Interpretable Histology Image Classification
MIDL 2022
Deep Active Learning for Joint Classification & Segmentation With Weak Annotator
WACV 2021
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition
WACV 2021
Variational Fair Clustering
AAAI 2021
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation
WACV 2021
Augmented Lagrangian Adversarial Attacks
ICCV 2021
Cross-Domain Face Synthesis using a Controllable GAN
WACV 2020
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification
ECCV 2020
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
ECCV 2020
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
MIDL 2020
Laplacian Regularized Few-Shot Learning
ICML 2020
Pose Guided Gated Fusion for Person Re-identification
WACV 2020
Boundary loss for highly unbalanced segmentation
MIDL 2019
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
CVPR 2019
Scalable Laplacian K-modes
NIPS 2018