Hyuk-Jae Lee
9 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 ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
🧬
Topic Evolution
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Computer Vision
(6)
Deep Learning
(6)
Analysis
(5)
Machine Learning
(4)
Architectures
(4)
Artificial Intelligence
(3)
Core AI · Artificial Intelligence
(3)
Learning Types
(3)
Domain-Specific
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Speech & Audio
(1)
Application Areas
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Keywords
object detection
(2)
vision transformer
(2)
transformer architecture
(1)
noisy label learning
(1)
local attention
(1)
probabilistic modeling
(1)
multi-view learning
(1)
early exit
(1)
least squares regression
(1)
self-supervised learning
(1)
autonomous driving
(1)
depth estimation
(1)
monocular depth estimation
(1)
automatic speech recognition
(1)
fine-grained classification
(1)
epistemic uncertainty
(1)
post-training quantization
(1)
hessian approximation
(1)
active learning
(1)
model compression
(1)
Papers
LS-ViT: Least-Squares Hessian Based Block Reconstruction for Low-Bit Post-Training Quantization of Vision Transformers
CVPR 2026
MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula
AAAI 2025
USDN: A Unified Sample-Wise Dynamic Network With Mixed-Precision and Early-Exit
WACV 2024
EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation
ICCV 2023
ViT-P3DE∗: Vision Transformer Based Multi-Camera Instance Association with Pseudo 3D Position Embeddings
IJCAI 2023
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-Supervised Learning
AAAI 2022
MVP-N: A Dataset and Benchmark for Real-World Multi-View Object Classification
NeurIPS 2022
Active Learning for Deep Object Detection via Probabilistic Modeling
ICCV 2021
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
ICCV 2019