Shu Liu
56 papers · 2015–2026 · 13 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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πΊοΈ Taxonomy Completionist (81) π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Gold π Academic Marathon Β· Half π£ Hot Topic Early Bird
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(20)
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(42)
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(12)
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Prolific Year Β· Prolific
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(5)
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(242)
Venues
Top co-authors
Research topics
Computer Vision
(29)
Machine Learning
(28)
Analysis
(26)
Deep Learning
(25)
Learning Types Β· Deep Learning
(16)
Learning Types Β· Machine Learning
(15)
Artificial Intelligence
(11)
Core Methods
(11)
Core AI
(9)
Processing
(7)
Application Areas
(6)
Optimization & Theory
(6)
Natural Language Processing
(5)
Architectures
(5)
Models
(5)
Keywords
semantic segmentation
(10)
object detection
(9)
instance segmentation
(6)
point cloud
(5)
contrastive learning
(4)
3d object detection
(4)
large language model
(4)
3d reconstruction
(3)
3d vision
(3)
few-shot learning
(3)
attention mechanism
(3)
semi-supervised learning
(2)
benchmark evaluation
(2)
image segmentation
(2)
image classification
(2)
context-aware learning
(2)
knowledge distillation
(2)
sentiment analysis
(2)
representation learning
(2)
embedding learning
(2)
Papers
A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equation
JMLR 2026
FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
COLING 2025
Language Models Can Easily Learn to Reason from Demonstrations
EMNLP 2025
Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition
ICCV 2025
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
ICLR 2025
Cloudcast: High-Throughput, Cost-Aware Overlay Multicast in the Cloud
NSDI 2024
Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics
ECCV 2024
Denoising Diffusion Step-aware Models
ICLR 2024
LISA: Reasoning Segmentation via Large Language Model
CVPR 2024
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders
ECCV 2024
Prompt Highlighter: Interactive Control for Multi-Modal LLMs
CVPR 2024
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
NeurIPS 2024
Scalable Language Model with Generalized Continual Learning
ICLR 2024
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
CVPR 2023
Learning Context-Aware Classifier for Semantic Segmentation
AAAI 2023
Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation
ICCV 2023
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields
CVPR 2023
Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection
ICCV 2023
Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need
CVPR 2023
A Robustly Optimized BMRC for Aspect Sentiment Triplet Extraction
NAACL 2022
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
ECCV 2022
EfficientNeRF Efficient Neural Radiance Fields
CVPR 2022
Generalized Few-Shot Semantic Segmentation
CVPR 2022
Stratified Transformer for 3D Point Cloud Segmentation
CVPR 2022
Deep Structured Instance Graph for Distilling Object Detectors
ICCV 2021
Distilling Knowledge via Knowledge Review
CVPR 2021
EmbedMask: Embedding Coupling for Instance Segmentation
IJCAI 2021
Guided Point Contrastive Learning for Semi-Supervised Point Cloud Semantic Segmentation
ICCV 2021
HRegNet: A Hierarchical Network for Large-Scale Outdoor LiDAR Point Cloud Registration
ICCV 2021
Improving Calibration for Long-Tailed Recognition
CVPR 2021
Jigsaw Clustering for Unsupervised Visual Representation Learning
CVPR 2021
Learnable Boundary Guided Adversarial Training
ICCV 2021
Learning Stochastic Behaviour from Aggregate Data
ICML 2021
Parametric Contrastive Learning
ICCV 2021
Self-Supervised 3D Mesh Reconstruction From Single Images
CVPR 2021
Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency
CVPR 2021
Video Instance Segmentation With a Propose-Reduce Paradigm
ICCV 2021
3DSSD: Point-Based 3D Single Stage Object Detector
CVPR 2020
CN: Channel Normalization For Point Cloud Recognition
ECCV 2020
Dive Deeper Into Box for Object Detection
ECCV 2020
DSGN: Deep Stereo Geometry Network for 3D Object Detection
CVPR 2020
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
CVPR 2020
Amodal Instance Segmentation With KINS Dataset
CVPR 2019
Associatively Segmenting Instances and Semantics in Point Clouds
CVPR 2019
Fast and Practical Neural Architecture Search
ICCV 2019
Fast Point R-CNN
ICCV 2019
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
ICCV 2019
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
ICCV 2019
Path Aggregation Network for Instance Segmentation
CVPR 2018
PSANet: Point-wise Spatial Attention Network for Scene Parsing
ECCV 2018
Sequential Context Encoding for Duplicate Removal
NeurIPS 2018
SGN: Sequential Grouping Networks for Instance Segmentation
ICCV 2017
Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation
CVPR 2016
Box Aggregation for Proposal Decimation: Last Mile of Object Detection
ICCV 2015
Contour Box: Rejecting Object Proposals Without Explicit Closed Contours
ICCV 2015
Semantic Segmentation With Object Clique Potential
ICCV 2015