2024
Understanding Whitening Loss in Self-Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Exploring the Usage of Pre-trained Features for Stereo Matching.
Int. J. Comput. Vis., October, 2024
Towards Defending Multiple ℓ <sub>p</sub>-Norm Bounded Adversarial Perturbations via Gated Batch Normalization.
Int. J. Comput. Vis., June, 2024
On the Number of Linear Regions of Convolutional Neural Networks With Piecewise Linear Activations.
IEEE Trans. Pattern Anal. Mach. Intell., 2024
SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models.
CoRR, 2024
TinyLLaVA Factory: A Modularized Codebase for Small-scale Large Multimodal Models.
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CoRR, 2024
TinyLLaVA: A Framework of Small-scale Large Multimodal Models.
CoRR, 2024
On the Nonlinearity of Layer Normalization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Modulate Your Spectrum in Self-Supervised Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
CoR-GS: Sparse-View 3D Gaussian Splatting via Co-regularization.
Proceedings of the Computer Vision - ECCV 2024, 2024
Robust Synthetic-to-Real Transfer for Stereo Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Normalization Techniques in Training DNNs: Methodology, Analysis and Application.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
Combating medical noisy labels by disentangled distribution learning and consistency regularization.
Future Gener. Comput. Syst., April, 2023
2022
A Malleable Boundary Network for temporal action detection.
Comput. Electr. Eng., 2022
An Investigation into Whitening Loss for Self-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Understanding the Failure of Batch Normalization for Transformers in NLP.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Delving into the Estimation Shift of Batch Normalization in a Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability.
IEEE Trans. Medical Imaging, 2021
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
An Investigation on Sparsity of CapsNets for Adversarial Robustness.
Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021
Visual-Textual Attentive Semantic Consistency for Medical Report Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Group Whitening: Balancing Learning Efficiency and Representational Capacity.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Slimmable Generative Adversarial Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A general non-parametric active learning framework for classification on multiple manifolds.
Pattern Recognit. Lett., 2020
Deep quantization generative networks.
Pattern Recognit., 2020
Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs.
Pattern Recognit., 2020
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization.
CoRR, 2020
Group Whitening: Balancing Learning Efficiency and Representational Capacity.
CoRR, 2020
Invertible Zero-Shot Recognition Flows.
CoRR, 2020
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis.
CoRR, 2020
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction.
CoRR, 2020
Deep Local Binary Coding for Person Re-Identification by Delving into the Details.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
On the Number of Linear Regions of Convolutional Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020
Invertible Zero-Shot Recognition Flows.
Proceedings of the Computer Vision - ECCV 2020, 2020
Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs.
Proceedings of the Computer Vision - ECCV 2020, 2020
An Efficient Agreement Mechanism in CapsNets by Pairwise Product.
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
An Investigation Into the Stochasticity of Batch Whitening.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Controllable Orthogonalization in Training DNNs.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Deformable Tube Network for Action Detection in Videos.
CoRR, 2019
Exploring Dynamic Routing As A Pooling Layer.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Iterative Normalization: Beyond Standardization Towards Efficient Whitening.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
DGCNN: Disordered graph convolutional neural network based on the Gaussian mixture model.
Neurocomputing, 2018
Decorrelated Batch Normalization.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Projection Based Weight Normalization for Deep Neural Networks.
CoRR, 2017
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.
CoRR, 2017
Learning Joint Multimodal Representation Based on Multi-fusion Deep Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Centered Weight Normalization in Accelerating Training of Deep Neural Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017
2016
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search.
IEEE Trans. Image Process., 2016
A novel rotation adaptive object detection method based on pair Hough model.
Neurocomputing, 2016
Efficient segmentation for Region-based Image Retrieval using Edge Integrated Minimum Spanning Tree.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Online semi-supervised annotation via proxy-based local consistency propagation.
Neurocomputing, 2015
Multi-View Complementary Hash Tables for Nearest Neighbor Search.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
2014
MIAPS: A web-based system for remotely accessing and presenting medical images.
Comput. Methods Programs Biomed., 2014
Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014
Graph-based active semi-supervised learning: A new perspective for relieving multi-class annotation labor.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014
Ontology-based Concept Similarity Integrating Image Semantic and Visual Information.
Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014
2013
Efficient semi-supervised annotation with Proxy-based Local Consistency Propagation.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013
2012
BUAA AUDR at ImageCLEF 2012 Photo Annotation Task.
Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012