Shu Liu
55 papers · 2015–2025 · 12 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (12) π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
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Cross-Pollinator
(14)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(86)
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Conference Loyalist
(20)
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Grand Slam
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Dynamic Duo
(42)
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Deep Specialist
(12)
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Conference Pioneer
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Trend Setter
ποΈ
Keyword Collector
(225)
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Century Club
(55)
π₯
Unstoppable
(11)
β‘
Prolific Year
(6)
Conferences
CVPR (20)
ICCV (17)
ECCV (6)
ICLR (3)
NIPS (2)
AAAI (1)
COLING (1)
EMNLP (1)
ICML (1)
IJCAI (1)
NAACL (1)
NSDI (1)
Top co-authors
Keywords
semantic segmentation
(10)
object detection
(9)
instance segmentation
(6)
point cloud
(5)
large language model
(4)
3d object detection
(4)
contrastive learning
(4)
3d reconstruction
(3)
3d vision
(3)
attention mechanism
(3)
feature learning
(2)
semi-supervised learning
(2)
image classification
(2)
neural rendering
(2)
image segmentation
(2)
representation learning
(2)
knowledge distillation
(2)
embedding learning
(2)
sentiment analysis
(2)
few-shot learning
(2)
Papers
Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition
ICCV 2025
FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
COLING 2025
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
ICLR 2025
Language Models Can Easily Learn to Reason from Demonstrations
EMNLP 2025
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
NIPS 2024
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders
ECCV 2024
Scalable Language Model with Generalized Continual Learning
ICLR 2024
Cloudcast: High-Throughput, Cost-Aware Overlay Multicast in the Cloud
NSDI 2024
Denoising Diffusion Step-aware Models
ICLR 2024
Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics
ECCV 2024
Prompt Highlighter: Interactive Control for Multi-Modal LLMs
CVPR 2024
LISA: Reasoning Segmentation via Large Language Model
CVPR 2024
Learning Context-Aware Classifier for Semantic Segmentation
AAAI 2023
Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need
CVPR 2023
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields
CVPR 2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
CVPR 2023
Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection
ICCV 2023
Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation
ICCV 2023
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
A Robustly Optimized BMRC for Aspect Sentiment Triplet Extraction
NAACL 2022
Improving Calibration for Long-Tailed Recognition
CVPR 2021
Jigsaw Clustering for Unsupervised Visual Representation Learning
CVPR 2021
Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency
CVPR 2021
Distilling Knowledge via Knowledge Review
CVPR 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
Deep Structured Instance Graph for Distilling Object Detectors
ICCV 2021
Video Instance Segmentation With a Propose-Reduce Paradigm
ICCV 2021
Learnable Boundary Guided Adversarial Training
ICCV 2021
Parametric Contrastive Learning
ICCV 2021
Learning Stochastic Behaviour from Aggregate Data
ICML 2021
EmbedMask: Embedding Coupling for Instance Segmentation
IJCAI 2021
Self-Supervised 3D Mesh Reconstruction From Single Images
CVPR 2021
DSGN: Deep Stereo Geometry Network for 3D Object Detection
CVPR 2020
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
CVPR 2020
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
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
ICCV 2019
Fast Point R-CNN
ICCV 2019
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
ICCV 2019
Associatively Segmenting Instances and Semantics in Point Clouds
CVPR 2019
Amodal Instance Segmentation With KINS Dataset
CVPR 2019
Fast and Practical Neural Architecture Search
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
NIPS 2018
SGN: Sequential Grouping Networks for Instance Segmentation
ICCV 2017
Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation
CVPR 2016
Contour Box: Rejecting Object Proposals Without Explicit Closed Contours
ICCV 2015
Box Aggregation for Proposal Decimation: Last Mile of Object Detection
ICCV 2015
Semantic Segmentation With Object Clique Potential
ICCV 2015