Yanchao Yang

Orcid: 0000-0002-2447-7917

Affiliations:
  • University of Hong Kong, Hong Kong
  • Stanford University, CA, USA (2020 - 2022)
  • University of California, Los Angeles, USA (PhD 2019)
  • King Abdullah University of Science and Technology (KAUST), Department of Electrical Engineering, Thuwal, Saudi Arabia (former)


According to our database1, Yanchao Yang authored at least 49 papers between 2012 and 2025.

Collaborative distances:

Timeline

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Bibliography

2025
AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

InfoGS: Efficient Structure-Aware 3D Gaussians via Lightweight Information Shaping.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos.
CoRR, 2024

InfoGaussian: Structure-Aware Dynamic Gaussians through Lightweight Information Shaping.
CoRR, 2024

BBSEA: An Exploration of Brain-Body Synchronization for Embodied Agents.
CoRR, 2024

OLAT Gaussians for Generic Relightable Appearance Acquisition.
Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

InfoCon: Concept Discovery with Generative and Discriminative Informativeness.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-Level Control.
Proceedings of the Computer Vision - ECCV 2024, 2024

InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction.
Proceedings of the Computer Vision - ECCV 2024, 2024

Revisit Human-Scene Interaction via Space Occupancy.
Proceedings of the Computer Vision - ECCV 2024, 2024

SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning.
CoRR, 2023

Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots.
CoRR, 2023

Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks.
Proceedings of the International Conference on Machine Learning, 2023

COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

JacobiNeRF: NeRF Shaping with Mutual Information Gradients.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis.
IEEE Robotics Autom. Lett., 2022

COPILOT: Human Collision Prediction and Localization from Multi-view Egocentric Videos.
CoRR, 2022

6D Camera Relocalization in Visually Ambiguous Extreme Environments.
CoRR, 2022

Object Pursuit: Building a Space of Objects via Discriminative Weight Generation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes.
Proceedings of the Tenth International Conference on Learning Representations, 2022

GIMO: Gaze-Informed Human Motion Prediction in Context.
Proceedings of the Computer Vision - ECCV 2022, 2022

SpOT: Spatiotemporal Modeling for 3D Object Tracking.
Proceedings of the Computer Vision - ECCV 2022, 2022

Domain Adaptation on Point Clouds via Geometry-Aware Implicits.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ADeLA: Automatic Dense Labeling with Attention for Viewpoint Shift in Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic Segmentation.
CoRR, 2021

Learning Semantic-Aware Dynamics for Video Prediction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Time-Supervised Primary Object Segmentation.
CoRR, 2020

Phase Consistent Ecological Domain Adaptation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Manipulate Individual Objects in an Image.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

FDA: Fourier Domain Adaptation for Semantic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Unsupervised Learning for Object Representations by Watching and Moving.
PhD thesis, 2019

Dense Depth Posterior (DDP) From Single Image and Sparse Range.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Unsupervised Moving Object Detection via Contextual Information Separation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Conditional Prior Networks for Optical Flow.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
S2F: Slow-to-Fast Interpolator Flow.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015
Shape Tracking with Occlusions via Coarse-to-Fine Region-Based Sobolev Descent.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Self-Occlusions and Disocclusions in Causal Video Object Segmentation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Coarse-to-fine region selection and matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013
Modeling Self-Occlusions in Dynamic Shape and Appearance Tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Matching Through Features and Features Through Matching
CoRR, 2012

Modeling Shape, Appearance and Self-Occlusions for Articulated Object Tracking
CoRR, 2012


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