Bin Li
172 papers · 2008–2026 · 22 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 41 separate collaboration groups - the largest holds only 19% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Bin Li?
21 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Huaijiang Sun, Jianfeng Lu, Weiqing Li
10 papers
· 2022–2024
· AAAI, CVPR, ECCV
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Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis
AAAI 2024
Fast Adaptation for Human Pose Estimation via Meta-Optimization
CVPR 2024
Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework
ECCV 2024
MoML: Online Meta Adaptation for 3D Human Motion Prediction
CVPR 2024
NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis
ICLR 2024
DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback
CVPR 2023
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
AAAI 2023
Meta-Auxiliary Learning for Adaptive Human Pose Prediction
AAAI 2023
Test-time Personalizable Forecasting of 3D Human Poses
ICCV 2023
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction
ECCV 2022
20 papers whose co-authors appear nowhere else under this name
Adaptive Morph-Patch Transformer for Aortic Vessel Segmentation
AAAI 2026
VIMCAN: Visual-Inertial 3D Human Pose Estimation with Hybrid Mamba-Cross-Attention Network
CVPR 2026
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
CVPR 2025
AID-Agent: An LLM-Agent for Advanced Extraction and Integration of Documents
ACL 2025
LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning
EMNLP 2025
SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion
AAAI 2025
Enhanced Scale-aware Depth Estimation for Monocular Endoscopic Scenes with Geometric Modeling
MICCAI 2024
Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism
Interspeech 2024
Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging
CVPR 2023
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
NeurIPS 2021
Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning
CVPR 2021
Self-Supervised Visual-LiDAR Odometry With Flip Consistency
WACV 2021
Independent Echo Path Modeling for Stereophonic Acoustic Echo Cancellation
Interspeech 2020
Outlier Detection Ensemble with Embedded Feature Selection
AAAI 2020
Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model
JMLR 2019
Influence of Contextuality on Prosodic Realization of Information Structure in Chinese Dialogues
Interspeech 2019
POISketch: Semantic Place Labeling over User Activity Streams
IJCAI 2016
Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach
ACML 2015
Improving Blog Polarity Classification via Topic Analysis and Adaptive Methods
NAACL 2010
Nanjing Normal University Segmenter for the Fourth SIGHAN Bakeoff
IJCNLP 2008