Zhen Li

Orcid: 0000-0002-7669-2686

Affiliations:
  • Chinese University of Hong Kong, Shenzhen Research Institute of Big Data, Shenzhen, China


According to our database1, Zhen Li authored at least 75 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

ECC-PolypDet: Enhanced CenterNet with Contrastive Learning for Automatic Polyp Detection.
CoRR, 2024

WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
NG-NAS: Node growth neural architecture search for 3D medical image segmentation.
Comput. Medical Imaging Graph., September, 2023

RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation.
CoRR, 2023

GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face Guidance.
CoRR, 2023

Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding.
CoRR, 2023

Hierarchical Weight Averaging for Deep Neural Networks.
CoRR, 2023

Benchmarking the Robustness of LiDAR Semantic Segmentation Models.
CoRR, 2023

CPU: Codebook Lookup Transformer with Knowledge Distillation for Point Cloud Upsampling.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

WeakPolyp: You only Look Bounding Box for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

YONA: You Only Need One Adjacent Reference-Frame for Accurate and Fast Video Polyp Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

LATR: 3D Lane Detection from Monocular Images with Transformer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Composable Text Controls in Latent Space with ODEs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BEV@DC: Bird's-Eye View Assisted Training for Depth Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ScribblePolyp: Scribble-Supervised Polyp Segmentation through Dual Consistency Alignment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Geometry-Aware Network for Domain Adaptive Semantic Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
VQAMix: Conditional Triplet Mixup for Medical Visual Question Answering.
IEEE Trans. Medical Imaging, 2022

PointSite: A Point Cloud Segmentation Tool for Identification of Protein Ligand Binding Atoms.
J. Chem. Inf. Model., 2022

M^2-3DLaneNet: Multi-Modal 3D Lane Detection.
CoRR, 2022

Composable Text Control Operations in Latent Space with Ordinary Differential Equations.
CoRR, 2022

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds.
CoRR, 2022

Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases.
CoRR, 2022

Transformer based tooth classification from cone-beam computed tomography for dental charting.
Comput. Biol. Medicine, 2022

Prior knowledge facilitates low homologous protein secondary structure prediction with DSM distillation.
Bioinform., 2022

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

Weakly Supervised Object Localization Through Inter-class Feature Similarity and Intra-class Appearance Consistency.
Proceedings of the Computer Vision - ECCV 2022, 2022

Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

X -Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical Segmentation.
Proceedings of the Computer Vision - ACCV 2022, 2022

Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

CLEVR3D: Compositional Language and Elementary Visual Reasoning for Question Answering in 3D Real-World Scenes.
CoRR, 2021

Adaptive Residue-wise Profile Fusion for Low Homologous Protein SecondaryStructure Prediction Using External Knowledge.
CoRR, 2021

Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation.
CoRR, 2021

InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring.
CoRR, 2021

Shallow Attention Network for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Colorectal Polyp Classification from White-Light Colonoscopy Images via Domain Alignment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-compound Transformer for Accurate Biomedical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Geometric Morphology Based Irrelevant Vessels Removal For Accurate Coronary Artery Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Adaptive Residue-wise Profile Fusion for Low Homologous Protein Secondary Structure Prediction Using External Knowledge.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Shallow Feature Matters for Weakly Supervised Object Localization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervision and Dynamic Self-Training.
CoRR, 2020

JAFPro: Joint Appearance Fusion and Propagation for Human Video Motion Transfer from Multiple Reference Images.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Adaptive Context Selection for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Characterizing Label Errors: Confident Learning for Noisy-Labeled Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

An Efficient Hybrid Model for Kidney Tumor Segmentation in CT Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Progressive Abdominal Segmentation with Adaptively Hard Region Prediction and Feature Enhancement.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation.
Proceedings of the Computer Vision - ECCV 2020, 2020

MetaSelection: Metaheuristic Sub-Structure Selection for Neural Network Pruning Using Evolutionary Algorithm.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Exemplar Normalization for Learning Deep Representation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Ultrasound Liver Fibrosis Diagnosis Using Multi-indicator Guided Deep Neural Networks.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

3D Enhanced Multi-scale Network for Thoracic Organs Segmentation.
Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 2019

Semi-Supervised Video Salient Object Detection Using Pseudo-Labels.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Transmembrane Topology Identification by Fusing Evolutionary and Co-evolutionary Information with Cascaded Bidirectional Transformers.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018
WaveNano: a signal-level nanopore base-caller via simultaneous prediction of nucleotide labels and move labels through bi-directional WaveNets.
Quant. Biol., 2018

2017
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.
PLoS Comput. Biol., 2017

Predicting membrane protein contacts from non-membrane proteins by deep transfer learning.
CoRR, 2017

Folding Membrane Proteins by Deep Transfer Learning.
Proceedings of the Research in Computational Molecular Biology, 2017

High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
RGB-D Scene Labeling with Long Short-Term Memorized Fusion Model.
CoRR, 2016

Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling.
Proceedings of the Computer Vision - ECCV 2016, 2016


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