2024
Adversarial Training: A Survey.
CoRR, 2024
Heavy Labels Out! Dataset Distillation with Label Space Lightening.
CoRR, 2024
Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Transformer Doctor: Diagnosing and Treating Vision Transformers.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching.
Proceedings of the Computer Vision - ECCV 2024, 2024
Distilled Datamodel with Reverse Gradient Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Ungeneralizable Examples.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Mutual-Modality Adversarial Attack with Semantic Perturbation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.
CoRR, 2023
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate.
CoRR, 2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.
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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Slimmable Dataset Condensation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Spot-Adaptive Knowledge Distillation.
IEEE Trans. Image Process., 2022
Data Cleaning and AutoML: Would an Optimizer Choose to Clean?
Datenbank-Spektrum, 2022
A Survey of Neural Trees.
CoRR, 2022
Flocking Birds of a Feather Together: Dual-step GAN Distillation via Realer-Fake Samples.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Dataset Distillation via Factorization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Learning with Recoverable Forgetting.
Proceedings of the Computer Vision - ECCV 2022, 2022
Factorizing Knowledge in Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation.
Proceedings of the Computer Vision - ECCV 2022, 2022
Unleashing the Potential of Adaptation Models via Go-getting Domain Labels.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
Online Knowledge Distillation for Efficient Pose Estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Neural Style Transfer: A Review.
IEEE Trans. Vis. Comput. Graph., 2020
Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance.
IEEE Trans. Image Process., 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Finer-Net: Cascaded Human Parsing with Hierarchical Granularity.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018
2017
Neural Style Transfer: A Review.
CoRR, 2017