Mayank Vatsa
45 papers · 2017–2026 · 10 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 (80) 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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(45)
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Keyword Champion
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Renaissance Researcher
(5)
π₯
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β
The Questioner
(3)
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Prolific Year Β· Prolific
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(197)
Venues
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Research topics
Machine Learning
(26)
Deep Learning
(24)
Computer Vision
(21)
Artificial Intelligence
(18)
Core AI
(16)
Analysis
(13)
Core Methods
(12)
Learning Types Β· Deep Learning
(12)
Application Areas
(11)
Learning Types Β· Machine Learning
(10)
Models
(9)
Architectures
(5)
Domain-Specific
(5)
Learning Paradigms
(5)
Generation
(4)
Keywords
face recognition
(7)
deepfake detection
(4)
generative model
(4)
convolutional neural network
(3)
zero-shot learning
(3)
diffusion model
(3)
density estimation
(3)
generative adversarial network
(3)
text-to-image generation
(3)
image classification
(3)
multimodal learning
(3)
biometric authentication
(3)
image segmentation
(3)
image generation
(2)
semantic segmentation
(2)
feature learning
(2)
contrastive learning
(2)
bias detection
(2)
anomaly detection
(2)
deep learning
(2)
Papers
ACID Test: A Benchmark for Cultural Safety and Alignment in LALMs
AAAI 2026
HumanBench: Two Heads, No Legs, But Mostly Human, the State of Generative Capabilities in T2I Models
WACV 2026
NutriScreener: Retrieval Augmented Multi-Pose Graph Attention Network for Malnourishment Screening
AAAI 2026
Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation
AAAI 2026
AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification
AAAI 2025
Can Quantized Audio Language Models Perform Zero-Shot Spoofing Detection?
Interspeech 2025
Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models
CVPR 2025
Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres
ICML 2025
ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset
ICLR 2025
Learning the Power of "No": Foundation Models with Negations
WACV 2025
LitMAS: A Lightweight and Generalized Multi-Modal Anti-Spoofing Framework for Biometric Security
Interspeech 2025
Multimodal Zero-Shot Framework for Deepfake Hate Speech Detection in Low-Resource Languages
Interspeech 2025
Non-Invasive TB Detection using Acoustic and Semantic Features from Cough Sounds
MICCAI 2025
SHIELD: A Self-supervised, Silicosis-focused Hierarchical Imaging Framework for Occupational Lung Disease Diagnosis
IJCAI 2025
SynHate: Detecting Hate Speech in Synthetic Deepfake Audio
Interspeech 2025
Words Over Pixels? Rethinking Vision in Multimodal Large Language Models
IJCAI 2025
Adventures of Trustworthy Vision-Language Models: A Survey
AAAI 2024
BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes
AAAI 2024
DomainAdapt: Leveraging Multitask Learning and Domain Insights for Childrenβs Nutritional Status Assessment
MICCAI 2024
HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions
ECCV 2024
Navigating Text-to-Image Generative Bias across Indic Languages
ECCV 2024
SynthProv: Interpretable Framework for Profiling Identity Leakage
WACV 2024
ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing
CVPR 2024
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset
CVPR 2023
IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract)
AAAI 2023
Long-term Monitoring of Bird Flocks in the Wild
IJCAI 2023
Misclassifications of Contact Lens Iris PAD Algorithms: Is It Gender Bias or Environmental Conditions?
WACV 2023
NutriAI: AI-Powered Child Malnutrition Assessment in Low-Resource Environments
IJCAI 2023
On AI-Assisted Pneumoconiosis Detection from Chest X-rays
IJCAI 2023
Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects
IJCAI 2023
Anatomizing Bias in Facial Analysis
AAAI 2022
Detection of Digital Manipulation in Facial Images (Student Abstract)
AAAI 2021
NEAP-F: Network Epoch Accuracy Prediction Framework (Student Abstract)
AAAI 2021
On Learning Deep Models with Imbalanced Data Distribution
AAAI 2021
Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract)
AAAI 2021
Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract)
AAAI 2021
Detecting Face2Face Facial Reenactment in Videos
WACV 2020
Generalized Zero-Shot Learning via Over-Complete Distribution
CVPR 2020
Data Fine-Tuning
AAAI 2019
Dual Directed Capsule Network for Very Low Resolution Image Recognition
ICCV 2019
Guided Dropout
AAAI 2019
On Learning Density Aware Embeddings
CVPR 2019
Anonymizing k Facial Attributes via Adversarial Perturbations
IJCAI 2018
Learning Structure and Strength of CNN Filters for Small Sample Size Training
CVPR 2018
Face Sketch Matching via Coupled Deep Transform Learning
ICCV 2017