Charu Sharma
15 papers · 2018–2026 · 8 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 ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Keyword Champion
(2)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(75)
Top co-authors
Research topics
Deep Learning
(11)
Machine Learning
(9)
Computer Vision
(7)
Analysis
(7)
Architectures
(6)
Artificial Intelligence
(4)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Application Areas
(2)
Core AI
(2)
Generation
(2)
Learning Paradigms
(2)
Models
(2)
Techniques
(2)
Keywords
point cloud
(3)
knowledge graph
(2)
diffusion model
(2)
attention mechanism
(2)
higher-order structure
(2)
graph neural network
(2)
few-shot learning
(1)
adversarial learning
(1)
zero-shot learning
(1)
self-supervised learning
(1)
optimal transport
(1)
multimodal learning
(1)
multi-label classification
(1)
prompt-based learning
(1)
link prediction
(1)
3d scene understanding
(1)
human-object interaction
(1)
graph matching
(1)
scene graph generation
(1)
3d vision
(1)
Papers
InteracTalker: Prompt-Based Human-Object Interaction with Co-Speech Gesture Generation
WACV 2026
LORETTA: A Low Resource Framework to Poison Continuous Time Dynamic Graphs
AAAI 2026
SegMango: Early Deep Mango Yield Prediction based on Flower Segmentation and Weather Data
WACV 2026
SymGS: Leveraging Reflective Symmetries for 3DGS Compression
AAAI 2026
VIZOR: Viewpoint-Invariant Zero-Shot Scene Graph Generation for 3D Scene Reasoning
WACV 2026
Adversarial Learning Based Knowledge Distillation on 3D Point Clouds
WACV 2025
Higher Order Structures for Graph Explanations
AAAI 2025
Towards a Training Free Approach for 3D Scene Editing
WACV 2025
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation
WACV 2024
JobXMLC: EXtreme Multi-Label Classification of Job Skills with Graph Neural Networks
EACL 2023
An Unsupervised, Geometric and Syntax-aware Quantification of Polysemy
EMNLP 2022
Self-Supervised Few-Shot Learning on Point Clouds
NeurIPS 2020
Simplicial Complex based Point Correspondence between Images warped onto Manifolds
ECCV 2020
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
ACL 2019
Solving Partial Assignment Problems using Random Clique Complexes
ICML 2018