Ioan Andrei Barsan
7 papers · 2018–2024 · 4 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 ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Computer Vision
(4)
Deep Learning
(4)
Domain-Specific
(4)
Artificial Intelligence
(3)
Machine Learning
(3)
Application Areas
(3)
Core AI
(3)
Learning Types · Deep Learning
(2)
Techniques
(2)
Robotics
(1)
Analysis
(1)
Capabilities
(1)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory
(1)
Keywords
autonomous driving
(3)
sensor simulation
(2)
neural network compression
(1)
representation learning
(1)
3d reconstruction
(1)
semantic segmentation
(1)
image segmentation
(1)
multi-task learning
(1)
object detection
(1)
motion forecasting
(1)
visual localization
(1)
sensor fusion
(1)
vector quantization
(1)
feature sharing
(1)
differentiable rendering
(1)
parameter quantization
(1)
codebook learning
(1)
cad model
(1)
deep embedding
(1)
permutation search
(1)
Papers
UniCal: Unified Neural Sensor Calibration
ECCV 2024
Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing
ICCV 2023
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation
CoRL 2022
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
CVPR 2021
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks
CVPR 2021
Learning to Localize Through Compressed Binary Maps
CVPR 2019
Learning to Localize Using a LiDAR Intensity Map
CoRL 2018