Dokwan Oh
10 papers · 2021–2026 · 5 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
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π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint
β
The Questioner
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Computer Vision
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Core Methods
(4)
Optimization & Theory
(4)
Application Areas
(3)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Analysis
(2)
Learning Types Β· Machine Learning
(2)
Processing
(2)
Architectures
(1)
Generation
(1)
Learning Paradigms
(1)
Keywords
representation learning
(2)
semantic segmentation
(2)
model compression
(2)
self-supervised learning
(2)
image segmentation
(1)
image restoration
(1)
neural network pruning
(1)
self-supervised pretraining
(1)
knowledge distillation
(1)
image reconstruction
(1)
unsupervised domain adaptation
(1)
context modeling
(1)
deep model
(1)
semantic information
(1)
convolutional neural network
(1)
hidden state
(1)
implicit neural representation
(1)
perceptual quality
(1)
attention mechanism
(1)
unsupervised learning
(1)
Papers
Time Without Time: Pseudo-Temporal Representation for Space-Time Super-Resolution
CVPR 2026
Beyond Fixed-Length Calibration for Post-Training Compression of LLMs
EMNLP 2025
OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference
ICML 2025
Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec
NeurIPS 2024
Efficient Neural Video Representation with Temporally Coherent Modulation
ECCV 2024
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
ICML 2024
Is Overfitting Necessary for Implicit Video Representation?
ICML 2023
DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic Segmentation
NeurIPS 2022
SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information
CVPR 2022
Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly
NeurIPS 2021