Judy Hoffman
49 papers · 2013–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+15 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (74) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Triple Crown
π₯
Mega-Team Β· Civilization
π¬
Deep Specialist
(17)
π
Keyword Trendsetter Combo
(3)
π§¬
Topic Evolution
π€
Dynamic Duo
(13)
π
Keyword Champion
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Silver
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(192)
Top co-authors
Research topics
Machine Learning
(38)
Application Areas
(30)
Learning Types Β· Machine Learning
(20)
Computer Vision
(19)
Deep Learning
(18)
Artificial Intelligence
(17)
Analysis
(16)
Learning Paradigms
(13)
Learning Types Β· Deep Learning
(10)
Architectures
(9)
Core AI
(7)
Core Methods
(7)
Techniques
(6)
Optimization & Theory
(5)
Processing
(4)
Keywords
transfer learning
(14)
domain adaptation
(11)
object detection
(8)
domain generalization
(5)
representation learning
(5)
convolutional neural network
(4)
self-supervised learning
(4)
semantic segmentation
(3)
image classification
(3)
vision transformer
(3)
semi-supervised learning
(3)
weakly supervised learning
(3)
data augmentation
(3)
model architecture
(2)
visual navigation
(2)
multimodal learning
(2)
bias detection
(2)
unsupervised domain adaptation
(2)
computer vision
(2)
feature extraction
(2)
Papers
Forecasting 3D Scanpaths in Egocentric Video
CVPR 2026
Contrastive Flow Matching
ICCV 2025
Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders
CVPR 2025
Improving Personalized Search with Regularized Low-Rank Parameter Updates
CVPR 2025
Model merging with SVD to tie the Knots
ICLR 2025
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
ICLR 2024
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
CVPR 2024
Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors
NeurIPS 2024
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding
ECCV 2024
Window Attention is Bugged: How not to Interpolate Position Embeddings
ICLR 2024
ZipIt! Merging Models from Different Tasks without Training
ICLR 2024
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
NeurIPS 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
ICCV 2023
FACTS: First Amplify Correlations and Then Slice to Discover Bias
ICCV 2023
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
ICML 2023
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
NeurIPS 2023
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization
ICCV 2023
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation
WACV 2023
Token Merging: Your ViT But Faster
ICLR 2023
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency
NeurIPS 2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
CVPR 2022
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings
NeurIPS 2022
Active Domain Adaptation via Clustering Uncertainty-Weighted Embeddings
ICCV 2021
Representation Learning Through Latent Canonicalizations
WACV 2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
ICCV 2021
Scalable Diverse Model Selection for Accessible Transfer Learning
NeurIPS 2021
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
ICCV 2021
Temporal Action Detection With Multi-Level Supervision
ICCV 2021
Auxiliary Task Reweighting for Minimum-data Learning
NeurIPS 2020
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents
CoRL 2020
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
ECCV 2020
TIDE: A General Toolbox for Identifying Object Detection Errors
ECCV 2020
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation
ICCV 2019
Algorithms and Theory for Multiple-Source Adaptation
NeurIPS 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
ICML 2018
Adversarial Discriminative Domain Adaptation
CVPR 2017
Fine-Grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach
ICCV 2017
Inferring and Executing Programs for Visual Reasoning
ICCV 2017
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks
NeurIPS 2017
Cross Modal Distillation for Supervision Transfer
CVPR 2016
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning
JMLR 2016
Learning With Side Information Through Modality Hallucination
CVPR 2016
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning
CVPR 2015
Simultaneous Deep Transfer Across Domains and Tasks
ICCV 2015
Spatial Semantic Regularisation for Large Scale Object Detection
ICCV 2015
Continuous Manifold Based Adaptation for Evolving Visual Domains
CVPR 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
ICML 2014
LSDA: Large Scale Detection through Adaptation
NeurIPS 2014
Semi-supervised Domain Adaptation with Instance Constraints
CVPR 2013