Bo Yang
80 papers · 2013–2026 · 14 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 29 separate collaboration groups - the largest holds only 29% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Bo Yang?
8 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 Jinxi Li, Andrew Markham, Yafei YANG
23 papers
· 2018–2026
· CVPR, NeurIPS, ICLR
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DynFusion: Rethinking Condition Fusion for Adaptive Multi-Conditional Text-to-Image Generation
CVPR 2026
EvObj: Learning Evolving Object-centric Representations for 3D Instance Segmentation without Scene Supervision
CVPR 2026
PhysInOne: Visual Physics Learning and Reasoning in One Suite
CVPR 2026
FreeGave: 3D Physics Learning from Dynamic Videos by Gaussian Velocity
CVPR 2025
GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision
ICLR 2025
LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds
CVPR 2025
RayletDF: Raylet Distance Fields for Generalizable 3D Surface Reconstruction from Point Clouds or Gaussians
ICCV 2025
TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos
ICCV 2025
unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
ICML 2025
OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos
ICML 2024
DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images
ICLR 2023
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds
CVPR 2023
NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos
NeurIPS 2023
RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency
NeurIPS 2023
OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds
NeurIPS 2022
Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images
NeurIPS 2022
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
ECCV 2022
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
CVPR 2021
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
CVPR 2021
ATCSpeech: A Multilingual Pilot-Controller Speech Corpus from Real Air Traffic Control Environment
Interspeech 2020
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
CVPR 2020
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
NeurIPS 2019
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations
IJCAI 2018
21 papers whose co-authors appear nowhere else under this name
AVGGT: Rethinking Global Attention for Accelerating VGGT
CVPR 2026
DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers
CVPR 2026
Dynamics of Cognitive Heterogeneity: Investigating Behavioral Biases in Multi-Stage Supply Chains with LLM-Based Simulation
ACL 2026
MISF: MLLM Guided Iterative Sample Filtering for Data Fault Detection
AAAI 2026
Single-Stage fMRI-to-3D Reconstruction via Viewpoint-Aware Embedding and Hierarchical Guidance
AAAI 2026
Universal 3D Shape Matching via Coarse-to-Fine Language Guidance
CVPR 2026
Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction
ICML 2025
Conditional Prediction ROC Bands for Graph Classification
AISTATS 2025
UTMath: A Benchmark for Math Evaluation with Unit Test
EMNLP 2025
Fine-Grained Prototypes Distillation for Few-Shot Object Detection
AAAI 2024
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?
IJCAI 2023
A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection
CVPR 2022
Towards Robust Off-Policy Learning for Runtime Uncertainty
AAAI 2022
Context-Sensitive Temporal Feature Learning for Gait Recognition
ICCV 2021
GRF: Learning a General Radiance Field for 3D Representation and Rendering
ICCV 2021
How to leverage the multimodal EHR data for better medical prediction?
EMNLP 2021
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
NeurIPS 2021
Spatial-Content Image Search in Complex Scenes
WACV 2020
Topology Optimization based Graph Convolutional Network
IJCAI 2019
A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words
COLING 2018
Keeping in Touch with Collaborative UAVs: A Deep Reinforcement Learning Approach
IJCAI 2018