Chaim Baskin
18 papers · 2021–2026 · 11 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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πΊοΈ Taxonomy Completionist (45) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(102)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(8)
Artificial Intelligence
(7)
Computer Vision
(7)
Learning Types Β· Machine Learning
(7)
Core AI
(6)
Architectures
(5)
Core Methods
(5)
Processing
(4)
Analysis
(3)
Learning Types Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Learning Paradigms
(2)
Optimization
(2)
Computer Science
(1)
Keywords
semi-supervised learning
(2)
instance segmentation
(2)
video understanding
(2)
representation learning
(2)
noisy label learning
(2)
adversarial learning
(2)
vision-language model
(2)
graph neural network
(2)
image reconstruction
(2)
weakly supervised learning
(1)
video segmentation
(1)
few-shot learning
(1)
image classification
(1)
adversarial robustness
(1)
feature learning
(1)
contrastive learning
(1)
multi-task learning
(1)
test-time adaptation
(1)
referring expression
(1)
robust classification
(1)
Papers
CARES: Context-Aware Resolution Selector for VLMs
ACL 2026
Cross-Instance Gaussian Splatting Registration via Geometry-Aware Feature-Guided Alignment
CVPR 2026
HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering
CVPR 2026
R3: Reconstruction, Raw, and Rain: Deraining Directly in the Bayer Domain
WACV 2026
T1-PILOT: Physics-Informed Learned Optimized Trajectories for T1 Mapping Acceleration
MIDL 2026
Class-Conditioned Transformation for Enhanced Robust Image Classification
WACV 2025
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency
WACV 2025
DEPTH: Discourse Education through Pre-Training Hierarchically
NAACL 2025
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
CVPR 2025
Jailbreak Attack Initializations as Extractors of Compliance Directions
EMNLP 2025
Robot Instance Segmentation with Few Annotations for Grasping
WACV 2025
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
NeurIPS 2024
Enhanced Meta Label Correction for Coping with Label Corruption
ICCV 2023
Strategic Classification with Graph Neural Networks
ICLR 2023
Contrast To Divide: Self-Supervised Pre-Training for Learning With Noisy Labels
WACV 2022
End-to-End Referring Video Object Segmentation With Multimodal Transformers
CVPR 2022
Weakly Supervised Discovery of Semantic Attributes
CLeaR 2022
CAT: Compression-Aware Training for bandwidth reduction
JMLR 2021