Shan Liu
26 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (9)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(59)
π€
Dynamic Duo
(13)
π
Conference Pioneer
π₯
Unstoppable
(7)
β‘
Prolific Year
(5)
π
Century Club
(26)
ποΈ
Keyword Collector
(137)
π
Trend Setter
Conferences
CVPR (9)
AAAI (6)
ICCV (5)
INTERSPEECH (2)
NIPS (2)
ECCV (1)
EMNLP (1)
Top co-authors
Keywords
weakly supervised learning
(4)
image generation
(3)
attention mechanism
(3)
point cloud compression
(2)
motion compensation
(2)
person image synthesis
(2)
autoregressive model
(2)
semantic representation
(2)
graph convolutional network
(2)
syntactic representation
(2)
semantic segmentation
(2)
representation learning
(2)
pose transfer
(2)
video compression
(2)
speech synthesis
(2)
image synthesis
(2)
compositional generalization
(2)
latent variable model
(2)
point cloud semantic segmentation
(2)
entropy model
(2)
Papers
Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations
AAAI 2025
Fitted Neural Lossless Image Compression
CVPR 2025
Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment
CVPR 2024
Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation
AAAI 2024
Layer-Wise Representation Fusion for Compositional Generalization
AAAI 2024
Learned Lossless Image Compression based on Bit Plane Slicing
CVPR 2024
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
NIPS 2024
Efficient Hierarchical Entropy Model for Learned Point Cloud Compression
CVPR 2023
Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization
EMNLP 2023
PanelNet: Understanding 360 Indoor Environment via Panel Representation
CVPR 2023
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis
CVPR 2022
OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
AAAI 2022
Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction
CVPR 2022
LSVC: A Learning-Based Stereo Video Compression Framework
CVPR 2022
ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring
ECCV 2022
High Quality Disparity Remapping With Two-Stage Warping
ICCV 2021
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
AAAI 2021
Structure-Transformed Texture-Enhanced Network for Person Image Synthesis
ICCV 2021
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering
ICCV 2021
FeatherWave: An Efficient High-Fidelity Neural Vocoder with Multi-Band Linear Prediction
INTERSPEECH 2020
AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism
ICCV 2019
StructureFlow: Image Inpainting via Structure-Aware Appearance Flow
ICCV 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection
CVPR 2019
Meta Learning for Image Captioning
AAAI 2019
Pre-Trained Text Representations for Improving Front-End Text Processing in Mandarin Text-to-Speech Synthesis
INTERSPEECH 2019
Multi-mapping Image-to-Image Translation via Learning Disentanglement
NIPS 2019