Huu Le
9 papers · 2016–2022 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (6) π Conference Polyglot (3) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (23)
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Hot Topic Early Bird
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Renaissance Researcher
(7)
π
Interdisciplinary Bridge
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Topic Evolution
π₯
Unstoppable
(7)
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Conference Pioneer
Conferences
CVPR (6)
ECCV (2)
ICCV (1)
Top co-authors
Research topics
Keywords
robust estimation
(2)
reinforcement learning
(1)
visual localization
(1)
non-convex optimization
(1)
computer vision
(1)
model fitting
(1)
link prediction
(1)
object tracking
(1)
global optimization
(1)
deep reinforcement learning
(1)
linear complementarity
(1)
approximate nearest neighbor
(1)
bilevel optimization
(1)
data association
(1)
dynamic graph
(1)
straight-through estimator
(1)
frank-wolfe algorithm
(1)
local minima
(1)
binary neural network
(1)
unsupervised learning
(1)
Papers
AdaSTE: An Adaptive Straight-Through Estimator To Train Binary Neural Networks
CVPR 2022
DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking
CVPR 2021
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach
CVPR 2021
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning
ECCV 2020
A Graduated Filter Method for Large Scale Robust Estimation
CVPR 2020
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost
ICCV 2019
Deterministic Consensus Maximization with Biconvex Programming
ECCV 2018
An Exact Penalty Method for Locally Convergent Maximum Consensus
CVPR 2017
Conformal Surface Alignment With Optimal Mobius Search
CVPR 2016