Saket Anand
16 papers · 2018–2026 · 5 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
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
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Conference Pioneer
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(63)
Top co-authors
Research topics
Machine Learning
(10)
Learning Types Β· Machine Learning
(6)
Computer Vision
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Analysis
(4)
Application Areas
(4)
Core AI
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(3)
Domain-Specific
(2)
Optimization & Theory
(2)
Processing
(2)
Data Science & Analytics
(1)
Applications
(1)
Keywords
active learning
(4)
image segmentation
(2)
domain adaptation
(2)
semantic segmentation
(2)
density estimation
(2)
semi-supervised learning
(2)
wildlife monitoring
(2)
adversarial robustness
(1)
hierarchical classification
(1)
reinforcement learning
(1)
remote sensing
(1)
object detection
(1)
weakly supervised learning
(1)
multi-label classification
(1)
embedding space
(1)
query efficiency
(1)
weak supervision
(1)
fine-grained classification
(1)
object tracking
(1)
ensemble learning
(1)
Papers
Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling
AAAI 2026
Hier-COS: Making Deep Features Hierarchy-aware via Composition of Orthogonal Subspaces
CVPR 2026
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble Based Sample Selection
WACV 2024
BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes
AAAI 2024
SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated With Multiple Key Cropping Parameters
WACV 2024
Long-term Monitoring of Bird Flocks in the Wild
IJCAI 2023
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift
WACV 2023
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias
WACV 2022
HierMatch: Leveraging Label Hierarchies for Improving Semi-Supervised Learning
WACV 2022
Intelligent Camera Selection Decisions for Target Tracking in a Camera Network
WACV 2022
Learning Hierarchy Aware Features for Reducing Mistake Severity
ECCV 2022
REGroup: Rank-Aggregating Ensemble of Generative Classifiers for Robust Predictions
WACV 2022
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos
WACV 2020
Contextual Diversity for Active Learning
ECCV 2020
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
ECCV 2020
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders
ECCV 2018