Quanquan Li
9 papers · 2017–2021 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Computer Vision
(5)
Deep Learning
(5)
Machine Learning
(5)
Analysis
(5)
Optimization & Theory · Machine Learning
(4)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Techniques
(3)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Architectures
(1)
Core AI
(1)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Keywords
object detection
(5)
long-tailed distribution
(2)
equalization loss
(2)
class imbalance
(2)
convolutional neural network
(2)
loss function
(2)
model compression
(2)
knowledge distillation
(1)
gradient optimization
(1)
neural network pruning
(1)
neural network optimization
(1)
deep learning
(1)
differentiable programming
(1)
feature learning
(1)
feature aggregation
(1)
instance segmentation
(1)
differentiable optimization
(1)
model architecture
(1)
imbalanced data
(1)
semantic segmentation
(1)
Papers
Differentiable Dynamic Wirings for Neural Networks
ICCV 2021
Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection
CVPR 2021
RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features
CVPR 2021
DMCP: Differentiable Markov Channel Pruning for Neural Networks
CVPR 2020
Equalization Loss for Long-Tailed Object Recognition
CVPR 2020
Learning Connectivity of Neural Networks from a Topological Perspective
ECCV 2020
MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection
ECCV 2020
Grid R-CNN
CVPR 2019
Mimicking Very Efficient Network for Object Detection
CVPR 2017