Stan Sclaroff
41 papers · 2013–2023 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(82)
π§¬
Topic Evolution
π
Keyword Champion
π€
Dynamic Duo
(14)
π
Conference Pioneer
π
Century Club
(41)
π
Trend Setter
ποΈ
Keyword Collector
(201)
π₯
Unstoppable
(11)
β‘
Prolific Year
(5)
Conferences
CVPR (13)
ICCV (12)
WACV (4)
AAAI (3)
ECCV (3)
ICML (3)
NIPS (3)
Top co-authors
Keywords
multimodal learning
(4)
action recognition
(4)
bayesian inference
(4)
domain adaptation
(4)
visual tracking
(3)
salient object detection
(3)
ensemble learning
(3)
image retrieval
(3)
convolutional neural network
(3)
metric learning
(3)
stochastic gradient descent
(2)
posterior distribution
(2)
video understanding
(2)
visual attention
(2)
learning to rank
(2)
nearest neighbor retrieval
(2)
self-supervised learning
(2)
online learning
(2)
knowledge distillation
(2)
few-shot learning
(2)
Papers
Practical Disruption of Image Translation Deepfake Networks
AAAI 2023
Many-to-Many Splatting for Efficient Video Frame Interpolation
CVPR 2022
A Unified Framework for Domain Adaptive Pose Estimation
ECCV 2022
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
NIPS 2022
A Broad Study of Pre-training for Domain Generalization and Adaptation
ECCV 2022
Simulated Adversarial Testing of Face Recognition Models
CVPR 2022
Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
ICCV 2021
Learning Cross-Modal Contrastive Features for Video Domain Adaptation
ICCV 2021
Distillation Multiple Choice Learning for Multimodal Action Recognition
WACV 2021
CDS: Cross-Domain Self-Supervised Pre-Training
ICCV 2021
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers
CVPR 2021
Universal Domain Adaptation through Self Supervision
NIPS 2020
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
NIPS 2020
MULE: Multimodal Universal Language Embedding
AAAI 2020
Temporally Distributed Networks for Fast Video Semantic Segmentation
CVPR 2020
Real-time Visual Object Tracking with Natural Language Description
WACV 2020
Multi-way Encoding for Robustness
WACV 2020
DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation
WACV 2020
Language Features Matter: Effective Language Representations for Vision-Language Tasks
ICCV 2019
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations
ICCV 2019
Multilevel Language and Vision Integration for Text-to-Clip Retrieval
AAAI 2019
Deep Metric Learning to Rank
CVPR 2019
Generalized Majorization-Minimization
ICML 2019
Semi-Supervised Domain Adaptation via Minimax Entropy
ICCV 2019
Excitation Backprop for RNNs
CVPR 2018
Hashing with Binary Matrix Pursuit
ECCV 2018
Hashing as Tie-Aware Learning to Rank
CVPR 2018
Local Descriptors Optimized for Average Precision
CVPR 2018
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks
CVPR 2017
MIHash: Online Hashing With Mutual Information
ICCV 2017
Unconstrained Salient Object Detection via Proposal Subset Optimization
CVPR 2016
Differential Geometric Regularization for Supervised Learning of Classifiers
ICML 2016
Learning Activity Progression in LSTMs for Activity Detection and Early Detection
CVPR 2016
Adaptive Hashing for Fast Similarity Search
ICCV 2015
Space-Time Tree Ensemble for Action Recognition
CVPR 2015
Salient Object Subitizing
CVPR 2015
Minimum Barrier Salient Object Detection at 80 FPS
ICCV 2015
A Bayesian Framework for Online Classifier Ensemble
ICML 2014
Randomized Ensemble Tracking
ICCV 2013
Action Recognition and Localization by Hierarchical Space-Time Segments
ICCV 2013
Saliency Detection: A Boolean Map Approach
ICCV 2013