Vijay Chandrasekhar
6 papers · 2017–2022 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (14)
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Research topics
Machine Learning
(5)
Computer Vision
(3)
Deep Learning
(3)
Optimization & Theory Β· Machine Learning
(3)
Artificial Intelligence
(2)
Analysis
(2)
Core AI
(2)
Learning Types
(2)
Computer Science
(1)
Application Areas
(1)
Architectures
(1)
Foundations
(1)
Generation
(1)
Models
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
generative adversarial network
(3)
object detection
(2)
variational inequality
(1)
computer vision
(1)
image dehazing
(1)
semantic consistency
(1)
parallel computing
(1)
differentiable programming
(1)
algorithm optimization
(1)
mirror descent
(1)
saddle-point problems
(1)
knowledge graph
(1)
convolutional neural network
(1)
hardware acceleration
(1)
hardware accelerator
(1)
parameter averaging
(1)
exponential moving average
(1)
two-stage detector
(1)
inception score
(1)
neural network
(1)
Papers
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization
ECCV 2022
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
CVPR 2019
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
ICLR 2019
The Unusual Effectiveness of Averaging in GAN Training
ICLR 2019
DehazeGAN: When Image Dehazing Meets Differential Programming
IJCAI 2018
Object Detection Meets Knowledge Graphs
IJCAI 2017