Chengjie Wang

Orcid: 0000-0003-4216-8090

According to our database1, Chengjie Wang authored at least 226 papers between 2013 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Multimodal Ultrasound Radiomic Technology for Diagnosing Benign and Malignant Thyroid Nodules of Ti-Rads 4-5: A Multicenter Study.
Sensors, October, 2024

PST-Transformer: A Two-Stage Model for 3-D Driving Pose Estimation.
IEEE Internet Things J., October, 2024

EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm.
Int. J. Comput. Vis., September, 2024

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing.
IEEE Trans. Cybern., May, 2024

Deep Industrial Image Anomaly Detection: A Survey.
Mach. Intell. Res., February, 2024

Cross-Modal Alternating Learning With Task-Aware Representations for Continual Learning.
IEEE Trans. Multim., 2024

MCD-Net: Toward RGB-D Video Inpainting in Real-World Scenes.
IEEE Trans. Image Process., 2024

LLaVA-KD: A Framework of Distilling Multimodal Large Language Models.
CoRR, 2024

MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection.
CoRR, 2024

CAR: Controllable Autoregressive Modeling for Visual Generation.
CoRR, 2024

SVP: Style-Enhanced Vivid Portrait Talking Head Diffusion Model.
CoRR, 2024

Anno-incomplete Multi-dataset Detection.
CoRR, 2024

DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation.
CoRR, 2024

VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding.
CoRR, 2024

Learning Multi-view Anomaly Detection.
CoRR, 2024

PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision.
CoRR, 2024

Oracle Bone Inscriptions Multi-modal Dataset.
CoRR, 2024

Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning.
CoRR, 2024

RealTalk: Real-time and Realistic Audio-driven Face Generation with 3D Facial Prior-guided Identity Alignment Network.
CoRR, 2024

DF40: Toward Next-Generation Deepfake Detection.
CoRR, 2024

AnyMaker: Zero-shot General Object Customization via Decoupled Dual-Level ID Injection.
CoRR, 2024

ADer: A Comprehensive Benchmark for Multi-class Visual Anomaly Detection.
CoRR, 2024

Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner.
CoRR, 2024

M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising.
CoRR, 2024

NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models.
CoRR, 2024

VividPose: Advancing Stable Video Diffusion for Realistic Human Image Animation.
CoRR, 2024

AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval.
CoRR, 2024

StyleMaster: Towards Flexible Stylized Image Generation with Diffusion Models.
CoRR, 2024

PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning.
CoRR, 2024

Efficient Multimodal Large Language Models: A Survey.
CoRR, 2024

Single-temporal Supervised Remote Change Detection for Domain Generalization.
CoRR, 2024

Leveraging Fine-Grained Information and Noise Decoupling for Remote Sensing Change Detection.
CoRR, 2024

Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark.
CoRR, 2024

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
CoRR, 2024

Deepfake Generation and Detection: A Benchmark and Survey.
CoRR, 2024

DiffFAE: Advancing High-fidelity One-shot Facial Appearance Editing with Space-sensitive Customization and Semantic Preservation.
CoRR, 2024

SoftPatch: Unsupervised Anomaly Detection with Noisy Data.
CoRR, 2024

Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference.
CoRR, 2024

Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection.
CoRR, 2024

HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching.
CoRR, 2024

DMAD: Dual Memory Bank for Real-World Anomaly Detection.
CoRR, 2024

PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models.
CoRR, 2024

Dual-path Frequency Discriminators for Few-shot Anomaly Detection.
CoRR, 2024

MMoFusion: Multi-modal Co-Speech Motion Generation with Diffusion Model.
CoRR, 2024

Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability.
CoRR, 2024

Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection.
CoRR, 2024

A Generalist FaceX via Learning Unified Facial Representation.
CoRR, 2024

Effect of Q-learning on the evolution of cooperation behavior in collective motion: An improved Vicsek model.
Appl. Math. Comput., 2024

Health assessment of wind turbine gearbox via parallel ensemble and fuzzy derivation collaboration approach.
Adv. Eng. Informatics, 2024

MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A Physical Unclonable Function Feature Extraction Technique for Oil Paintings Copyright Protection.
Proceedings of the IEEE International Test Conference in Asia, 2024

UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

An Extrinsic Calibration Method between LiDAR and GNSS/INS for Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

T-Pixel2Mesh: Combining Global and Local Transformer for 3D Mesh Generation from a Single Image.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Hybrid Negative Probability Model for Weakly-Supervised Whole Slide Image Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024

Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Tuning-Free Image Customization with Image and Text Guidance.
Proceedings of the Computer Vision - ECCV 2024, 2024

DiffuMatting: Synthesizing Arbitrary Objects with Matting-Level Annotation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

Face-Adapter for Pre-trained Diffusion Models with Fine-Grained ID and Attribute Control.
Proceedings of the Computer Vision - ECCV 2024, 2024

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

FreeMotion: A Unified Framework for Number-Free Text-to-Motion Synthesis.
Proceedings of the Computer Vision - ECCV 2024, 2024

Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PortraitBooth: A Versatile Portrait Model for Fast Identity-Preserved Personalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LORS: Low-Rank Residual Structure for Parameter-Efficient Network Stacking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MatchDet: A Collaborative Framework for Image Matching and Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

A Diffusion-Based Framework for Multi-Class Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
How to Reduce Change Detection to Semantic Segmentation.
Pattern Recognit., June, 2023

PatchMix Augmentation to Identify Causal Features in Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation.
IEEE Trans. Multim., 2023

Dynamic Frame Interpolation in Wavelet Domain.
IEEE Trans. Image Process., 2023

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection.
CoRR, 2023

DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.
CoRR, 2023

Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection.
CoRR, 2023

CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection.
CoRR, 2023

Semi-supervised Domain Adaptation with Inter and Intra-domain Mixing for Semantic Segmentation.
CoRR, 2023

A Unified Framework for 3D Point Cloud Visual Grounding.
CoRR, 2023

Dual Path Transformer with Partition Attention.
CoRR, 2023

Learning Versatile 3D Shape Generation with Improved AR Models.
CoRR, 2023

Self-supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes.
CoRR, 2023

Deep Industrial Image Anomaly Detection: A Survey.
CoRR, 2023

Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation.
CoRR, 2023

Rethinking Mobile Block for Efficient Neural Models.
CoRR, 2023

Enhancing Grid-Based 3D Object Detection in Autonomous Driving With Improved Dimensionality Reduction.
IEEE Access, 2023

Real3D-AD: A Dataset of Point Cloud Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PVG: Progressive Vision Graph for Vision Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Toward High Quality Facial Representation Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Clustered-patch Element Connection for Few-shot Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

NeRF-Loc: Visual Localization with Conditional Neural Radiance Field.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Rethinking Mobile Block for Efficient Attention-based Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Instance and Category Supervision are Alternate Learners for Continual Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Global-aware Kernel for Image Harmonization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Versatile 3D Shape Generation with Improved Auto-regressive Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Transferable Decoding with Visual Entities for Zero-Shot Image Captioning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

High-Fidelity Generalized Emotional Talking Face Generation with Multi-Modal Emotion Space Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning with Noisy labels via Self-supervised Adversarial Noisy Masking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning from Noisy Labels with Decoupled Meta Label Purifier.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adaptive Assignment for Geometry Aware Local Feature Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multimodal Industrial Anomaly Detection via Hybrid Fusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Neural Proto-Face Field for Disentangled 3D Face Modeling in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

An Efficient Hash Computing Unit for Kyber Algorithm.
Proceedings of the 15th IEEE International Conference on ASIC, 2023

High-Performance Rejection Sampling Hardware Circuit Design for Kyber.
Proceedings of the 15th IEEE International Conference on ASIC, 2023

Calibrated Teacher for Sparsely Annotated Object Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
OpenCalib: A multi-sensor calibration toolbox for autonomous driving.
Softw. Impacts, December, 2022

3QNet: 3D Point Cloud Geometry Quantization Compression Network.
ACM Trans. Graph., 2022

A Method for Estimating the Composition and Size of Wear Debris in Lubricating Oil Based on the Joint Observation of Inductance and Resistance Signals: Theoretical Modeling and Experimental Verification.
IEEE Trans. Instrum. Meas., 2022

A Multi-Parameter Microfluidic Particle Sensor Based on Permalloy for High Sensitivity.
IEEE Trans. Instrum. Meas., 2022

PROSPECT-PMP+: Simultaneous Retrievals of Chlorophyll a and b, Carotenoids and Anthocyanins in the Leaf Optical Properties Model.
Sensors, 2022

Research on High Sensitivity Oil Debris Detection Sensor Using High Magnetic Permeability Material and Coil Mutual Inductance.
Sensors, 2022

Analysis of the Effect of Velocity on the Eddy Current Effect of Metal Particles of Different Materials in Inductive Bridges.
Sensors, 2022

UniInst: Unique representation for end-to-end instance segmentation.
Neurocomputing, 2022

Delving into Transformer for Incremental Semantic Segmentation.
CoRR, 2022

Rethinking Dimensionality Reduction in Grid-based 3D Object Detection.
CoRR, 2022

An Extrinsic Calibration Method of a 3D-LiDAR and a Pose Sensor for Autonomous Driving.
CoRR, 2022

Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection.
CoRR, 2022

Adaptive Assignment for Geometry Aware Local Feature Matching.
CoRR, 2022

FRIH: Fine-grained Region-aware Image Harmonization.
CoRR, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
CoRR, 2022

High-resolution Iterative Feedback Network for Camouflaged Object Detection.
CoRR, 2022

CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning.
CoRR, 2022

A Survey of Visual Sensory Anomaly Detection.
CoRR, 2022

CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation.
CoRR, 2022

SoftPatch: Unsupervised Anomaly Detection with Noisy Data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Hierarchical Walking Transformer for Object Re-Identification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Not All Pixels Are Matched: Dense Contrastive Learning for Cross-Modality Person Re-Identification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Continual Adaptation in Industrial Anomaly Detection.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

AutoGAN-Synthesizer: Neural Architecture Search for Cross-Modality MRI Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Iterative Few-shot Semantic Segmentation from Image Label Text.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping.
Proceedings of the Computer Vision - ECCV 2022, 2022

StyleFace: Towards Identity-Disentangled Face Generation on Megapixels.
Proceedings of the Computer Vision - ECCV 2022, 2022

tSF: Transformer-Based Semantic Filter for Few-Shot Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

ColorFormer: Image Colorization via Color Memory Assisted Hybrid-Attention Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

Class-Aware Contrastive Semi-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Distinctive Margin toward Active Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Memorize Feature Hallucination for One-Shot Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Surface Representation for Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Ranking Distance Calibration for Cross-Domain Few-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-high Resolution Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Restore 3D Face from In-the-Wild Degraded Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Physically-guided Disentangled Implicit Rendering for 3D Face Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Blind Face Restoration via Integrating Face Shape and Generative Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Reliability modeling and evaluation of lifetime delayed degradation process with nondestructive testing.
Reliab. Eng. Syst. Saf., 2021

SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes.
CoRR, 2021

Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System.
CoRR, 2021

A MADM Location Privacy Protection Method Based on Blockchain.
IEEE Access, 2021

Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ASFD: Automatic and Scalable Face Detector.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

LSTC: Boosting Atomic Action Detection with Long-Short-Term Context.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Context-Aware Image Inpainting with Learned Semantic Priors.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning To Restore Hazy Video: A New Real-World Dataset and a New Method.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Salient Boundary Feature for Anchor-free Temporal Action Localization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning To Aggregate and Personalize 3D Face From In-the-Wild Photo Collection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Comprehensive Motion Representation for Action Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

To Choose or to Fuse? Scale Selection for Crowd Counting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning a Few-shot Embedding Model with Contrastive Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Frequency Consistent Adaptation for Real World Super Resolution.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Exploring the Optical Properties of Leaf Photosynthetic and Photo-Protective Pigments In Vivo Based on the Separation of Spectral Overlapping.
Remote. Sens., 2020

IKPCA-ELM-based Intrusion Detection Method.
KSII Trans. Internet Inf. Syst., 2020

They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning.
CoRR, 2020

ACFD: Asymmetric Cartoon Face Detector.
CoRR, 2020

ASFD: Automatic and Scalable Face Detector.
CoRR, 2020

Dense Scene Multiple Object Tracking with Box-Plane Matching.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Temporal Distinct Representation Learning for Action Recognition.
Proceedings of the Computer Vision - ECCV 2020, 2020

Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking.
Proceedings of the Computer Vision - ECCV 2020, 2020

SSCGAN: Facial Attribute Editing via Style Skip Connections.
Proceedings of the Computer Vision - ECCV 2020, 2020

Adversarial Semantic Data Augmentation for Human Pose Estimation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Real-World Super-Resolution via Kernel Estimation and Noise Injection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Refinement Network for Human Motion Prediction.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Adversarial Domain Adaptation with Domain Mixup.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

TEINet: Towards an Efficient Architecture for Video Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Fast Learning of Temporal Action Proposal via Dense Boundary Generator.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Sensor fault signal reconstruction based on sliding mode observer for flight control systems.
Int. J. Model. Identif. Control., 2019

Anti-Confusing: Region-Aware Network for Human Pose Estimation.
CoRR, 2019

Aurora Guard: Real-Time Face Anti-Spoofing via Light Reflection.
CoRR, 2019

DSFD: Dual Shot Face Detector.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Embedded CMOS bioinformatics for nanopore sequencers.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

Improved CNN-based facial landmarks tracking via ridge regression at 150 Fps on mobile devices.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Similarity metric learning for face verification using sigmoid decision function.
Vis. Comput., 2016

Face alignment by deep convolutional network with adaptive learning rate.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Embedded CMOS basecalling for nanopore DNA sequencing.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Strongly coupled dynamics of fluids and rigid-body systems with the immersed boundary projection method.
J. Comput. Phys., 2015

Evaluating the Quality of Face Alignment without Ground Truth.
Comput. Graph. Forum, 2015

Applying the fuzzy SERVQUAL method to measure the service quality in certification & inspection industry.
Appl. Soft Comput., 2015

Human Parsing via Shape Boltzmann Machine Networks.
Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

High-speed event detector for embedded nanopore bio-systems.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A high-speed real-time nanopore signal detector.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

2013
A fast multi-view based specular removal approach for pill extraction.
Proceedings of the IEEE International Conference on Image Processing, 2013


  Loading...