Shikun Liu
12 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (27) π£ Hot Topic Early Bird π Conference Polyglot (6)
π
Academic Marathon
(6)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(6)
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Century Club
(12)
π₯
Unstoppable
(7)
Conferences
CVPR (4)
ICML (3)
NIPS (2)
ECCV (1)
ICCV (1)
ICLR (1)
Top co-authors
Research topics
Keywords
3d reconstruction
(3)
simultaneous localization and mapping
(2)
neural network
(2)
domain generalization
(2)
distribution shift
(2)
diffusion model
(2)
graph neural network
(2)
multi-task learning
(2)
generative model
(1)
implicit representation
(1)
feature learning
(1)
out-of-distribution generalization
(1)
task generalization
(1)
3d representation
(1)
geometric deep learning
(1)
neural radiance field
(1)
out-of-distribution detection
(1)
attention mechanism
(1)
benchmark dataset
(1)
object detection
(1)
Papers
Learning Flow Fields in Attention for Controllable Person Image Generation
CVPR 2025
Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models
ICML 2025
Pairwise Alignment Improves Graph Domain Adaptation
ICML 2024
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
NIPS 2024
EscherNet: A Generative Model for Scalable View Synthesis
CVPR 2024
Structural Re-weighting Improves Graph Domain Adaptation
ICML 2023
vMAP: Vectorised Object Mapping for Neural Field SLAM
CVPR 2023
Bootstrapping Semantic Segmentation with Regional Contrast
ICLR 2022
iMAP: Implicit Mapping and Positioning in Real-Time
ICCV 2021
Shape Adaptor: A Learnable Resizing Module
ECCV 2020
Self-Supervised Generalisation with Meta Auxiliary Learning
NIPS 2019
End-To-End Multi-Task Learning With Attention
CVPR 2019