Jianxin Wu

Orcid: 0000-0002-2085-7568

Affiliations:
  • Nanjing University, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, Nanjing, China
  • Georgia Institute of Technology, Atlanta, GA, USA (PhD 2002)


According to our database1, Jianxin Wu authored at least 166 papers between 2001 and 2024.

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Bibliography

2024
Practical Network Acceleration With Tiny Sets: Hypothesis, Theory, and Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Tobias: A Random CNN Sees Objects.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Minimal Interaction Edge Tuning: A New Paradigm for Visual Adaptation.
CoRR, 2024

On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning.
CoRR, 2024

DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition.
CoRR, 2024

Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning.
CoRR, 2024

Reviving Undersampling for Long-Tailed Learning.
CoRR, 2024

Unified Low-rank Compression Framework for Click-through Rate Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Rectify the Regression Bias in Long-Tailed Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

DTL: Disentangled Transfer Learning for Visual Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Salvage of Supervision in Weakly Supervised Object Detection and Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

A unified pruning framework for vision transformers.
Sci. China Inf. Sci., July, 2023

Weakly supervised foreground learning for weakly supervised localization and detection.
Pattern Recognit., May, 2023

Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images.
CoRR, 2023

Instance-based Max-margin for Practical Few-shot Recognition.
CoRR, 2023

Multi-Label Self-Supervised Learning with Scene Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Practical Network Acceleration with Tiny Sets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

No One Left Behind: Improving the Worst Categories in Long-Tailed Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Quantized Feature Distillation for Network Quantization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Compressing Transformers: Features Are Low-Rank, but Weights Are Not!
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ECML: An Ensemble Cascade Metric-Learning Mechanism Toward Face Verification.
IEEE Trans. Cybern., 2022

Versatile, full-spectrum, and swift network sampling for model generation.
Pattern Recognit., 2022

Fine-Grained Image Analysis With Deep Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Distilling Knowledge by Mimicking Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning.
CoRR, 2022

PENCIL: Deep Learning with Noisy Labels.
CoRR, 2022

ActionFormer: Localizing Moments of Actions with Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022

Worst Case Matters for Few-Shot Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

Training Vision Transformers with only 2040 Images.
Proceedings of the Computer Vision - ECCV 2022, 2022

Synergistic Self-supervised and Quantization Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Compressing Models with Few Samples: Mimicking then Replacing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Salvage of Supervision in Weakly Supervised Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multi-Instance Learning With Emerging Novel Class.
IEEE Trans. Knowl. Data Eng., 2021

Neural random subspace.
Pattern Recognit., 2021

Salvage of Supervision in Weakly Supervised Detection.
CoRR, 2021

Rethinking Self-Supervised Learning: Small is Beautiful.
CoRR, 2021

Mixup Without Hesitation.
Proceedings of the Image and Graphics - 11th International Conference, 2021

Residual Attention: A Simple but Effective Method for Multi-Label Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Distilling Virtual Examples for Long-tailed Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Simultaneous 3D hand detection and pose estimation using single depth images.
Pattern Recognit. Lett., 2020

AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference.
Pattern Recognit., 2020

In Defense of Feature Mimicking for Knowledge Distillation.
CoRR, 2020

Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation.
CoRR, 2020

Rethinking the Route Towards Weakly Supervised Object Localization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neural Network Pruning With Residual-Connections and Limited-Data.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Repetitive Reprediction Deep Decipher for Semi-Supervised Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples.
IEEE Trans. Image Process., 2019

Improving CNN linear layers with power mean non-linearity.
Pattern Recognit., 2019

Unsupervised object discovery and co-localization by deep descriptor transformation.
Pattern Recognit., 2019

ThiNet: Pruning CNN Filters for a Thinner Net.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

CodeAttention: translating source code to comments by exploiting the code constructs.
Frontiers Comput. Sci., 2019

Neural Forest Learning.
CoRR, 2019

Deep Learning for Fine-Grained Image Analysis: A Survey.
CoRR, 2019

Towards Real-Time Action Recognition on Mobile Devices Using Deep Models.
CoRR, 2019

Probabilistic End-To-End Noise Correction for Learning With Noisy Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences.
IEEE Trans. Affect. Comput., 2018

Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization.
Pattern Recognit., 2018

Learning Effective Binary Visual Representations with Deep Networks.
CoRR, 2018

Age Estimation Using Expectation of Label Distribution Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification.
Proceedings of the Computer Vision - ACCV 2018, 2018

Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Scalable Algorithms for Multi-Instance Learning.
IEEE Trans. Neural Networks Learn. Syst., 2017

Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval.
IEEE Trans. Image Process., 2017

Learning Correspondence Structures for Person Re-Identification.
IEEE Trans. Image Process., 2017

Deep Label Distribution Learning With Label Ambiguity.
IEEE Trans. Image Process., 2017

Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision.
Pattern Recognit., 2017

A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Sparse multiple instance learning as document classification.
Multim. Tools Appl., 2017

Structured Learning of Binary Codes with Column Generation for Optimizing Ranking Measures.
Int. J. Comput. Vis., 2017

Image categorization with resource constraints: introduction, challenges and advances.
Frontiers Comput. Sci., 2017

Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion.
CoRR, 2017

Code Attention: Translating Code to Comments by Exploiting Domain Features.
CoRR, 2017

Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming.
CoRR, 2017

An Entropy-based Pruning Method for CNN Compression.
CoRR, 2017

Content-Based Image Recovery.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

In Defense of Fully Connected Layers in Visual Representation Transfer.
Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

Deep Descriptor Transforming for Image Co-Localization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors.
Proceedings of the IEEE International Conference on Computer Vision, 2017

ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Compact Representation of High-Dimensional Feature Vectors for Large-Scale Image Recognition and Retrieval.
IEEE Trans. Image Process., 2016

A Diffusion and Clustering-Based Approach for Finding Coherent Motions and Understanding Crowd Scenes.
IEEE Trans. Image Process., 2016

Weakly Supervised Fine-Grained Categorization With Part-Based Image Representation.
IEEE Trans. Image Process., 2016

Action Recognition in Still Images With Minimum Annotation Efforts.
IEEE Trans. Image Process., 2016

Good Practices for Learning to Recognize Actions Using FV and VLAD.
IEEE Trans. Cybern., 2016

Minimal gated unit for recurrent neural networks.
Int. J. Autom. Comput., 2016

Dense CNN Learning with Equivalent Mappings.
CoRR, 2016

Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition.
CoRR, 2016

Structured Learning of Binary Codes with Column Generation.
CoRR, 2016

Learning compact binary codes from higher-order tensors via Free-Form Reshaping and Binarized Multilinear PCA.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Deep Bimodal Regression for Apparent Personality Analysis.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Exploit Bounding Box Annotations for Multi-Label Object Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Representing Sets of Instances for Visual Recognition.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Automatic Face Naming by Learning Discriminative Affinity Matrices From Weakly Labeled Images.
IEEE Trans. Neural Networks Learn. Syst., 2015

Linear Regression-Based Efficient SVM Learning for Large-Scale Classification.
IEEE Trans. Neural Networks Learn. Syst., 2015

GROPING: Geomagnetism and cROwdsensing Powered Indoor NaviGation.
IEEE Trans. Mob. Comput., 2015

Weakly Supervised Fine-Grained Image Categorization.
CoRR, 2015

Facial Expression Cloning with Elastic and Muscle Models.
CoRR, 2015

Can Partial Strong Labels Boost Multi-label Object Recognition?
CoRR, 2015

Visual Recognition Using Directional Distribution Distance.
CoRR, 2015

A new network-based algorithm for human activity recognition in video.
CoRR, 2015

Deep Spatial Pyramid: The Devil is Once Again in the Details.
CoRR, 2015

Deep Label Distribution Learning for Apparent Age Estimation.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Deep Spatial Pyramid Ensemble for Cultural Event Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Person Re-Identification with Correspondence Structure Learning.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Steerable second order intensity features for pedestrian detection.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014
Flexible Image Similarity Computation Using Hyper-Spatial Matching.
IEEE Trans. Image Process., 2014

mCENTRIST: A Multi-Channel Feature Generation Mechanism for Scene Categorization.
IEEE Trans. Image Process., 2014

A New Network-Based Algorithm for Human Activity Recognition in Videos.
IEEE Trans. Circuits Syst. Video Technol., 2014

Facial expression cloning with elastic and muscle models.
J. Vis. Commun. Image Represent., 2014

Representing And Recognizing Motion Trajectories: A Tube And Droplet Approach.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Poster abstract: MaWi: a hybrid magnetic and wi-fi system for scalable indoor localization.
Proceedings of the IPSN'14, 2014

Scalable Multi-instance Learning.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach.
Proceedings of the Computer Vision - ECCV 2014, 2014

Optimizing Ranking Measures for Compact Binary Code Learning.
Proceedings of the Computer Vision - ECCV 2014, 2014

A Dual-Sensor Enabled Indoor Localization System with Crowdsensing Spot Survey.
Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2014

Compact Representation for Image Classification: To Choose or to Compress?
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Towards Good Practices for Action Video Encoding.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Learning with Augmented Multi-Instance View.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013
${\rm C}^{4}$: A Real-Time Object Detection Framework.
IEEE Trans. Image Process., 2013

A Heat-Map-Based Algorithm for Recognizing Group Activities in Videos.
IEEE Trans. Circuits Syst. Video Technol., 2013

Probabilistic classifiers with a generalized Gaussian scale mixture prior.
Pattern Recognit., 2013

Multi-class Cosegmentation with Pairwise Active Learning.
Proceedings of the Advances in Multimedia Information Processing - PCM 2013, 2013

A New Network-Based Algorithm for Human Group Activity Recognition in Videos.
Proceedings of the Advances in Multimedia Modeling, 19th International Conference, 2013

Remora: Sensing resource sharing among smartphone-based body sensor networks.
Proceedings of the 21st IEEE/ACM International Symposium on Quality of Service, 2013

Salient object cutout using Google images.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Reduced Heteroscedasticity Linear Regression for Nyström Approximation.
Proceedings of the IJCAI 2013, 2013

2012
Efficient HIK SVM Learning for Image Classification.
IEEE Trans. Image Process., 2012

Practical Large Scale Classification with Additive Kernels.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Key Instance Detection in Multi-Instance Learning.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

A new heat-map-based algorithm for human group activity recognition.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Facial expression mapping based on elastic and muscle-distribution-based models.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Layout-expectation-based Model for Image Search Re-ranking.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012

Power mean SVM for large scale visual classification.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Exclusive Visual Descriptor Quantization.
Proceedings of the Computer Vision - ACCV 2012, 2012

Object Templates for Visual Place Categorization.
Proceedings of the Computer Vision, 2012

2011
CENTRIST: A Visual Descriptor for Scene Categorization.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Efficient and Effective Visual Codebook Generation Using Additive Kernels.
J. Mach. Learn. Res., 2011

PBN: towards practical activity recognition using smartphone-based body sensor networks.
Proceedings of the 9th International Conference on Embedded Networked Sensor Systems, 2011

Balance Support Vector Machines Locally Using the Structural Similarity Kernel.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Exploiting sensing diversity for confident sensing in wireless sensor networks.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Probit Classifiers with a Generalized Gaussian Scale Mixture Prior.
Proceedings of the IJCAI 2011, 2011

Real-time human detection using contour cues.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Face Detection.
Proceedings of the Handbook of Face Recognition, 2nd Edition., 2011

2010
Corrigendum to "Ensembling neural networks: Many could be better than all" [Artificial Intelligence 137 (1-2) (2002) 239-263].
Artif. Intell., 2010

A Fast Dual Method for HIK SVM Learning.
Proceedings of the Computer Vision, 2010

2009
Exploratory Undersampling for Class-Imbalance Learning.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Visual Place Categorization: Problem, dataset, and algorithm.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Fast Asymmetric Learning for Cascade Face Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

On the Design of Cascades of Boosted Ensembles for Face Detection.
Int. J. Comput. Vis., 2008

Where am I: Place instance and category recognition using spatial PACT.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
A Scalable Approach to Activity Recognition based on Object Use.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
Exploratory Under-Sampling for Class-Imbalance Learning.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Towards the Optimal Training of Cascades of Boosted Ensembles.
Proceedings of the Toward Category-Level Object Recognition, 2006

2005
Linear Asymmetric Classifier for cascade detectors.
Proceedings of the Machine Learning, 2005

2003
Efficient face candidates selector for face detection.
Pattern Recognit., 2003

Learning a Rare Event Detection Cascade by Direct Feature Selection.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Face recognition with one training image per person.
Pattern Recognit. Lett., 2002

Ensembling neural networks: Many could be better than all.
Artif. Intell., 2002

2001
Combining Regression Estimators: GA-Based Selective Neural Network Ensemble.
Int. J. Comput. Intell. Appl., 2001

Genetic Algorithm based Selective Neural Network Ensemble.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001


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