DONG LAO
13 papers · 2017–2024 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (9)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(7)
🧭
Keyword Pioneer
🧬
Topic Evolution
🔥
Unstoppable
(6)
🚀
Conference Pioneer
💎
Century Club
(13)
⚡
Prolific Year
(7)
🗃️
Keyword Collector
(56)
Conferences
CVPR (4)
ECCV (3)
ICCV (2)
NIPS (2)
ICML (1)
JMLR (1)
Top co-authors
Keywords
learning rate
(2)
object detection
(2)
metric scale
(2)
partial differential equation
(2)
monocular depth estimation
(2)
stochastic gradient descent
(2)
video processing
(2)
optical flow
(2)
numerical instability
(2)
variational inference
(1)
depth estimation
(1)
neural network training
(1)
deep learning
(1)
neural network optimization
(1)
feature extraction
(1)
semantic segmentation
(1)
template matching
(1)
motion detection
(1)
image restoration
(1)
gradient descent
(1)
Papers
On the Viability of Monocular Depth Pre-training for Semantic Segmentation
ECCV 2024
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions
NIPS 2024
A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks
JMLR 2024
Sub-token ViT Embedding via Stochastic Resonance Transformers
ICML 2024
WorDepth: Variational Language Prior for Monocular Depth Estimation
CVPR 2024
Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation
CVPR 2024
AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation
ECCV 2024
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis
NIPS 2022
Flow-Guided Video Inpainting With Scene Templates
ICCV 2021
Phase Consistent Ecological Domain Adaptation
CVPR 2020
Minimum Delay Object Detection From Video
ICCV 2019
Extending Layered Models to 3D Motion
ECCV 2018
Minimum Delay Moving Object Detection
CVPR 2017