Gianni Franchi
16 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (32) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (5) π Cross-Pollinator (8)
π
Renaissance Researcher
(5)
π
Conference Polyglot
(7)
π
Century Club
(15)
β‘
Prolific Year
(8)
π₯
Unstoppable
(5)
Conferences
ICLR (5)
WACV (3)
AAAI (2)
CVPR (2)
ECCV (2)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
uncertainty quantification
(4)
semantic segmentation
(3)
aleatoric uncertainty
(2)
epistemic uncertainty
(2)
out-of-distribution detection
(2)
bayesian neural network
(2)
entropy minimization
(1)
domain adaptation
(1)
adversarial robustness
(1)
trajectory forecasting
(1)
object detection
(1)
data augmentation
(1)
autonomous driving
(1)
depth estimation
(1)
concept-based explanation
(1)
model adaptation
(1)
explainable ai
(1)
bayesian inference
(1)
test-time adaptation
(1)
confidence calibration
(1)
Papers
Benchmarking XAI Explanations with Human-Aligned Evaluations
AAAI 2026
Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues
ICCV 2025
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
ICLR 2025
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
CVPR 2025
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
WACV 2025
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
ICLR 2024
NECO: NEural Collapse Based Out-of-distribution detection
ICLR 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
AAAI 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
CVPR 2024
Frustratingly Easy Test-Time Adaptation of Vision-Language Models
NIPS 2024
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
ICLR 2024
InfraParis: A Multi-Modal and Multi-Task Autonomous Driving Dataset
WACV 2024
Learning To Generate Training Datasets for Robust Semantic Segmentation
WACV 2024
Packed Ensembles for efficient uncertainty estimation
ICLR 2023
Latent Discriminant Deterministic Uncertainty
ECCV 2022
TRADI: Tracking Deep Neural network Weight Distributions
ECCV 2020