Judy Hoffman

48 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

+16 more ↓

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)

🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (13) 👑 Triple Crown 👥 Mega-Team (100) 🌱 Topic Pioneer 🔬 Deep Specialist (16) 🧬 Topic Evolution 🏆 Keyword Champion 🚀 Conference Pioneer 💎 Century Club (48) 🔥 Unstoppable (13) ⚡ Prolific Year (6) 📈 Trend Setter 🗃️ Keyword Collector (170)

Conferences

ICCV (13) CVPR (10) NIPS (10) ICLR (5) ECCV (3) ICML (3) WACV (2) CORL (1) JMLR (1)

Top co-authors

Trevor Darrell (13) Kate Saenko (12) Prithvijit Chattopadhyay (8) Daniel Bolya (7) Viraj Prabhu (6) Eric Tzeng (5) Jeff Donahue (3) George Stoica (3) Jitendra Malik (3) Christoph Feichtenhofer (3)

Keywords

transfer learning (14) domain adaptation (11) object detection (7) domain generalization (5) representation learning (5) self-supervised learning (4) convolutional neural network (4) semantic segmentation (3) semi-supervised learning (3) multiple instance learning (2) multimodal learning (2) bias detection (2) image classification (2) visual navigation (2) distribution shift (2) vision transformer (2) weakly supervised learning (2) feature extraction (2) computer vision (2) data augmentation (2)

Papers

Improving Personalized Search with Regularized Low-Rank Parameter Updates CVPR 2025 Contrastive Flow Matching ICCV 2025 Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders CVPR 2025 Model merging with SVD to tie the Knots ICLR 2025 ZipIt! Merging Models from Different Tasks without Training ICLR 2024 SkyScenes: A Synthetic Dataset for Aerial Scene Understanding ECCV 2024 Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors NIPS 2024 Window Attention is Bugged: How not to Interpolate Position Embeddings ICLR 2024 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 FACTS: First Amplify Correlations and Then Slice to Discover Bias ICCV 2023 Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles ICML 2023 Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation WACV 2023 Token Merging: Your ViT But Faster ICLR 2023 PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization ICCV 2023 LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images NIPS 2023 Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks NIPS 2023 Benchmarking Low-Shot Robustness to Natural Distribution Shifts ICCV 2023 Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency NIPS 2022 ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings NIPS 2022 VisCUIT: Visual Auditor for Bias in CNN Image Classifier CVPR 2022 Temporal Action Detection With Multi-Level Supervision ICCV 2021 Scalable Diverse Model Selection for Accessible Transfer Learning NIPS 2021 Active Domain Adaptation via Clustering Uncertainty-Weighted Embeddings ICCV 2021 RobustNav: Towards Benchmarking Robustness in Embodied Navigation ICCV 2021 SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation ICCV 2021 Representation Learning Through Latent Canonicalizations WACV 2021 Learning to Balance Specificity and Invariance for In and Out of Domain Generalization ECCV 2020 Auxiliary Task Reweighting for Minimum-data Learning NIPS 2020 Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents CORL 2020 TIDE: A General Toolbox for Identifying Object Detection Errors ECCV 2020 SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation ICCV 2019 CyCADA: Cycle-Consistent Adversarial Domain Adaptation ICML 2018 Algorithms and Theory for Multiple-Source Adaptation NIPS 2018 Inferring and Executing Programs for Visual Reasoning ICCV 2017 Label Efficient Learning of Transferable Representations acrosss Domains and Tasks NIPS 2017 Adversarial Discriminative Domain Adaptation CVPR 2017 Fine-Grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach ICCV 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 Spatial Semantic Regularisation for Large Scale Object Detection ICCV 2015 Simultaneous Deep Transfer Across Domains and Tasks ICCV 2015 LSDA: Large Scale Detection through Adaptation NIPS 2014 Continuous Manifold Based Adaptation for Evolving Visual Domains CVPR 2014 DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition ICML 2014 Semi-supervised Domain Adaptation with Instance Constraints CVPR 2013