Dwarikanath Mahapatra
15 papers · 2019–2026 · 6 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 ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(78)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
Top co-authors
Research topics
Computer Vision
(9)
Deep Learning
(8)
Machine Learning
(7)
Domain-Specific
(6)
Learning Types Β· Machine Learning
(6)
Healthcare & Medicine
(5)
Clinical
(5)
Artificial Intelligence
(4)
Core AI
(4)
Learning Types Β· Deep Learning
(4)
Models
(4)
Analysis
(3)
Application Areas
(3)
Core Methods
(3)
Architectures
(2)
Keywords
medical imaging
(4)
self-supervised learning
(3)
data augmentation
(2)
active learning
(2)
feature disentanglement
(2)
anomaly detection
(2)
diffusion model
(2)
chest x-ray classification
(2)
conformal prediction
(1)
uncertainty quantification
(1)
vision transformer
(1)
prototype learning
(1)
transformer architecture
(1)
domain adaptation
(1)
semantic segmentation
(1)
multi-label classification
(1)
multimodal learning
(1)
variational inference
(1)
depth estimation
(1)
knowledge distillation
(1)
Papers
LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs
CVPR 2026
NoMoColor: Unified Noise Modulation for Enhanced Diffusion-based Image Colorization (Student Abstract)
AAAI 2026
Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding
CVPR 2026
VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging
AAAI 2026
DiMPLe - Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
ICCV 2025
Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet
WACV 2025
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification
AAAI 2024
Confidence-guided Semi-supervised Learning for Generalized Lesion Localization in X-ray Images
MICCAI 2024
Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization
AAAI 2023
Probabilistic Integration of Object Level Annotations in Chest X-Ray Classification
WACV 2023
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision
CVPR 2023
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification
MIDL 2023
MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers
MIDL 2022
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation
CVPR 2020
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion
ICCV 2019