Yi Fang

IEEE Trans. Vis. Comput. Graph., July, 2023

VisPercep: A Vision-Language Approach to Enhance Visual Perception for People with Blindness and Low Vision.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Gradient Learning and Optimization for Oriented Point Normal Estimation.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance.

[BibT_eX]

[DOI]

IROS, 2023

Pyramid Learnable Tokens for 3D LiDAR Place Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

GP-Aligner: Unsupervised Groupwise Nonrigid Point Set Registration Based on Optimizable Group Latent Descriptor.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Few-Shot Object Detection on Remote Sensing Images.

[BibT_eX]

[DOI]

Jingyu Deng

IEEE Trans. Geosci. Remote. Sens., 2022

Geometry-Aware Segmentation of Remote Sensing Images via Joint Height Estimation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Height Estimation From Single Aerial Images Using a Deep Ordinal Regression Network.

[BibT_eX]

[DOI]

Mingyang Wang

IEEE Geosci. Remote. Sens. Lett., 2022

Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance.

[BibT_eX]

[DOI]

CoRR, 2022

SHREC'22 track: Sketch-based 3D shape retrieval in the wild.

[BibT_eX]

[DOI]

Comput. Graph., 2022

SHREC 2022: Protein-ligand binding site recognition.

[BibT_eX]

[DOI]

Apostolos Axenopoulos

Stelios K. Mylonas

Petros Daras

Comput. Graph., 2022

Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster.

[BibT_eX]

[DOI]

IEEE Access, 2022

3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation.

[BibT_eX]

[DOI]

Mengxi Wu

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Adaptive Wavelet Transformer Network for 3D Shape Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Non-Rigid Multiple Point Set Registration Using Latent Gaussian Mixture.

[BibT_eX]

[DOI]

Cheng Chen

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Manifold Adversarial Learning for Cross-domain 3D Shape Representation.

[BibT_eX]

[DOI]

Cheng Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Meta-Det3D: Learn to Learn Few-Shot 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Topology Constrained Shape Correspondence.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2021

3D Meta-Segmentation Neural Network.

[BibT_eX]

[DOI]

Yu Hao

CoRR, 2021

Meta-Learning 3D Shape Segmentation Functions.

[BibT_eX]

[DOI]

Yu Hao

CoRR, 2021

RAR: Region-Aware Point Cloud Registration.

[BibT_eX]

[DOI]

Yu Hao

CoRR, 2021

Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes.

[BibT_eX]

[DOI]

CoRR, 2021

G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment.

[BibT_eX]

[DOI]

CoRR, 2021

Audi-Exchange: AI-Guided Hand-based Actions to Assist Human-Human Interactions for the Blind and the Visually Impaired.

[BibT_eX]

[DOI]

Daohan Lu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Virtual Touch: Computer Vision Augmented Touch-Free Scene Exploration for the Blind or Visually Impaired.

[BibT_eX]

[DOI]

Xixuan Julie Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

3D-MetaConNet: Meta-learning for 3D Shape Classification and Segmentation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2021

2020

3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2020

3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence.

[BibT_eX]

[DOI]

CoRR, 2020

Deep-3DAligner: Unsupervised 3D Point Set Registration Network With Optimizable Latent Vector.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Partial Point Set Registration via Joint Shape Completion and Registration.

[BibT_eX]

[DOI]

CoRR, 2020

GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration Based On Optimized Group Latent Descriptor.

[BibT_eX]

[DOI]

CoRR, 2020

DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow.

[BibT_eX]

[DOI]

Shuaihang Yuan

CoRR, 2020

Unsupervised Learning of Global Registration of Temporal Sequence of Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Learning of 3D Point Set Registration.

[BibT_eX]

[DOI]

CoRR, 2020

Geometry-Aware Segmentation of Remote Sensing Images via implicit height estimation.

[BibT_eX]

[DOI]

CoRR, 2020

Reference Grid-assisted Network for 3D Point Signature Learning from Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

ROSS: Robust Learning of One-Shot 3D Shape Segmentation.

[BibT_eX]

[DOI]

Shuaihang Yuan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Active Crowd Analysis for Pandemic Risk Mitigation for Blind or Visually Impaired Persons.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Unsupervised Deep Shape Descriptor With Point Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

MDA-Net: Memorable Domain Adaptation Network for Monocular Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Robust Image Matching By Dynamic Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Learning domain-invariant feature for robust depth-image-based 3D shape retrieval.

[BibT_eX]

[DOI]

John-Ross Rizzo

Pattern Recognit. Lett., 2019

Deep Learning for Pattern Recognition.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification.

[BibT_eX]

[DOI]

CoRR, 2019

Self-Supervised Learning of Depth and Ego-motion with Differentiable Bundle Adjustment.

[BibT_eX]

[DOI]

CoRR, 2019

Structure-Attentioned Memory Network for Monocular Depth Estimation.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Object-specific Distance from a Monocular Image.

[BibT_eX]

[DOI]

CoRR, 2019

Coherent Point Drift Networks: Unsupervised Learning of Non-Rigid Point Set Registration.

[BibT_eX]

[DOI]

CoRR, 2019

Non-Rigid Point Set Registration Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An assistive low-vision platform that augments spatial cognition through proprioceptive guidance: Point-to-Tell-and-Touch.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning Object-Specific Distance From a Monocular Image.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Pairwise Attention Encoding for Point Cloud Feature Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on 3D Vision, 2019

PC-Net: Unsupervised Point Correspondence Learning with Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on 3D Vision, 2019

2018

Deep Correlated Holistic Metric Learning for Sketch-Based 3D Shape Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Greedy Criterion in Orthogonal Greedy Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Deep Nonlinear Metric Learning for 3-D Shape Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Building-A-Nets: Robust Building Extraction From High-Resolution Remote Sensing Images With Adversarial Networks.

[BibT_eX]

[DOI]

Xiaojing Yao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Learning Local Descriptors with Adversarial Enhancer from Volumetric Geometry Patches.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Unsupervised Learning of 3D Model Reconstruction from Hand-Drawn Sketches.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Learning to Synthesize 3D Indoor Scenes from Monocular Images.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Cross-Modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-Based 3D Shape Retrieval.

[BibT_eX]

[DOI]

Jiaxin Chen

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Adversarial 3D Model Generation With 2D Image Enhancer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Deep Multimetric Learning for Shape-Based 3D Model Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2017

Progressive Shape-Distribution-Encoder for Learning 3D Shape Representation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

DeepShape: Deep-Learned Shape Descriptor for 3D Shape Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning.

[BibT_eX]

[DOI]

CoRR, 2017

3DensiNet: A Robust Neural Network Architecture towards 3D Volumetric Object Prediction from 2D Image.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Metric-based Generative Adversarial Network.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Multimedia Conference, 2017

A Wearable Assistive Technology for the Visually Impaired with Door Knob Detection and Real-Time Feedback for Hand-to-Handle Manipulation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Reducing Operator Workload for Indoor Navigation of Autonomous Robots via Multimodal Sensor Fusion.

[BibT_eX]

[DOI]

Naman Patel

Prashanth Krishnamurthy

Farshad Khorrami

Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

The Intrinsic Geometric Structure of Protein-Protein Interaction Networks for Protein Interaction Prediction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Linear discrimination dictionary learning for shape descriptors.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2016

Learning a discriminative deformation-invariant 3D shape descriptor via many-to-one encoder.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2016

From handcrafted to learned representations for human action recognition: A survey.

[BibT_eX]

[DOI]

Image Vis. Comput., 2016

Dual many-to-one-encoder-based transfer learning for cross-dataset human action recognition.

[BibT_eX]

[DOI]

Image Vis. Comput., 2016

Dynamic texture recognition with video set based collaborative representation.

[BibT_eX]

[DOI]

Image Vis. Comput., 2016

Boosted Cross-Domain Dictionary Learning for Visual Categorization.

[BibT_eX]

[DOI]

Fan Zhu

Ling Shao

IEEE Intell. Syst., 2016

Global Consistent Shape Correspondence for Efficient and Effective Active Shape Models.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Local Diffusion Map Signature for Symmetry-aware Non-rigid Shape Correspondence.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Heat Diffusion Long-Short Term Memory Learning for 3D Shape Analysis.

[BibT_eX]

[DOI]

Fan Zhu

Proceedings of the Computer Vision - ECCV 2016, 2016

Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval.

[BibT_eX]

[DOI]

Fan Zhu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Learning Pairwise Neural Network Encoder for Depth Image-based 3D Model Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Progressive Shape-Distribution-Encoder for 3D Shape Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

3D deep shape descriptor.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Global Voting Model for Protein Function Prediction from Protein-Protein Interaction Networks.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

3D Laplacian Pyramid Signature.

[BibT_eX]

[DOI]

Kaimo Hu