Liu Liu
73 papers · 2010–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (12)
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Academic Marathon
(16)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(12)
π¬
Deep Specialist
(11)
π§¬
Topic Evolution
π±
Topic Pioneer
π
Grand Slam
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(298)
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Trend Setter
π
Century Club
(65)
π₯
Unstoppable
(10)
β‘
Prolific Year
(6)
Conferences
AAAI (18)
CVPR (14)
NIPS (9)
ECCV (6)
ICCV (5)
INTERSPEECH (5)
ICML (4)
ACL (3)
ICLR (3)
WACV (3)
IJCAI (2)
AISTATS (1)
Top co-authors
Research topics
Keywords
point cloud
(8)
pose estimation
(7)
convolutional neural network
(5)
articulated object
(5)
representation learning
(5)
domain adaptation
(5)
neural network
(4)
metric learning
(4)
multimodal learning
(4)
attention mechanism
(4)
self-supervised learning
(4)
deep neural network
(4)
category-level pose
(3)
foundation model
(3)
continual learning
(3)
contrastive learning
(3)
speaker verification
(3)
generative model
(3)
knowledge distillation
(2)
catastrophic forgetting
(2)
Papers
SIAM: Towards Generalizable Articulated Object Modeling via Single Robot-Object Interaction
AAAI 2026
Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses
ACL 2026
MINGLE: VLMs for Semantically Complex Region Detection in Urban Scenes
AAAI 2026
CrystalDiT: Simple Diffusion Transformers for Crystal Generation
AAAI 2026
START: Spatial and Textual Learning for Chart Understanding
WACV 2026
IGFuse: Interactive 3D Gaussian Scene Reconstruction via Multi-Scans Fusion
AAAI 2026
Exploring Category-level Articulated Object Pose Tracking on SE(3) Manifolds
AAAI 2026
Remodeling Semantic Relationships in Vision-Language Fine-Tuning
AAAI 2026
FRBAT: Conditionally-Visible Physical Backdoor Attack via Fluorescence
AAAI 2026
Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
ICML 2025
Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment
IJCAI 2025
Test-time Adapted Reinforcement Learning with Action Entropy Regularization
ICML 2025
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
AAAI 2025
R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy
AAAI 2025
ProBench: Judging Multimodal Foundation Models on Open-ended Multi-domain Expert Tasks
ACL 2025
MONTROSE: LLM-driven Monte Carlo Tree Search Self-Refinement for Cross-Domain Rumor Detection
ACL 2025
EZSR: Event-based Zero-Shot Recognition
CVPR 2025
GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding
CVPR 2025
DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding
CVPR 2025
GaPT-DAR: Category-level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction
CVPR 2025
Injecting Imbalance Sensitivity for Multi-Task Learning
IJCAI 2025
U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation
ECCV 2024
Rethinking 3D Convolution in $\ell_p$-norm Space
NIPS 2024
EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation
NIPS 2024
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
ICLR 2024
Event Camera Data Dense Pre-training
ECCV 2024
Convolutional Masked Image Modeling for Dense Prediction Tasks on Pathology Images
WACV 2024
KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking
AAAI 2024
Reject Decoding via Language-Vision Models for Text-to-Image Synthesis
AAAI 2023
Event Camera Data Pre-training
ICCV 2023
Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification
ICCV 2023
BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion
ICLR 2023
K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring
CVPR 2023
Online Continual Learning with Contrastive Vision Transformer
ECCV 2022
Biomass Prediction With 3D Point Clouds From LiDAR
WACV 2022
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation
AAAI 2022
Channelized Axial Attention β considering Channel Relation within Spatial Attention for Semantic Segmentation
AAAI 2022
Continual Learning through Retrieval and Imagination
AAAI 2022
Transcribing Natural Languages for the Deaf via Neural Editing Programs
AAAI 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
NIPS 2022
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning
ECCV 2022
Text-to-Image Synthesis Based on Object-Guided Joint-Decoding Transformer
CVPR 2022
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
NIPS 2022
OakInk: A Large-Scale Knowledge Repository for Understanding Hand-Object Interaction
CVPR 2022
Continual Learning With Lifelong Vision Transformer
CVPR 2022
AKB-48: A Real-World Articulated Object Knowledge Base
CVPR 2022
Learning Object Placement via Dual-Path Graph Completion
ECCV 2022
Adaptive Curriculum Learning
ICCV 2021
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels
NIPS 2021
Weak-shot Fine-grained Classification via Similarity Transfer
NIPS 2021
Activity Image-to-Video Retrieval by Disentangling Appearance and Motion
AAAI 2021
Multi-label Few-shot Learning with Semantic Inference (Student Abstract)
AAAI 2021
PluckerNet: Learn To Register 3D Line Reconstructions
CVPR 2021
Robust compressed sensing using generative models
NIPS 2020
Joint 3D Instance Segmentation and Object Detection for Autonomous Driving
CVPR 2020
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization
ECCV 2020
Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution
CVPR 2020
DoveNet: Deep Image Harmonization via Domain Verification
CVPR 2020
Optimal Feature Transport for Cross-View Image Geo-Localization
AAAI 2020
High Dimensional Robust Sparse Regression
AISTATS 2020
Boosting Deep Neural Network Efficiency with Dual-Module Inference
ICML 2020
Deep Streaming Label Learning
ICML 2020
Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization
NIPS 2019
Dynamic Sparse Graph for Efficient Deep Learning
ICLR 2019
Deep Attention Gated Dilated Temporal Convolutional Networks with Intra-Parallel Convolutional Modules for End-to-End Monaural Speech Separation
INTERSPEECH 2019
End-to-End Monaural Speech Separation with Multi-Scale Dynamic Weighted Gated Dilated Convolutional Pyramid Network
INTERSPEECH 2019
Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization
ICCV 2019
Lending Orientation to Neural Networks for Cross-View Geo-Localization
CVPR 2019
Latent Factor Analysis of Deep Bottleneck Features for Speaker Verification with Random Digit Strings
INTERSPEECH 2018
Joint Learning of J-Vector Extractor and Joint Bayesian Model for Text Dependent Speaker Verification
INTERSPEECH 2018
Double Joint Bayesian Modeling of DNN Local I-Vector for Text Dependent Speaker Verification with Random Digit Strings
INTERSPEECH 2018
Efficient Global 2D-3D Matching for Camera Localization in a Large-Scale 3D Map
ICCV 2017
Efficient Relational Learning with Hidden Variable Detection
NIPS 2010