ImageNet3D: Towards General-Purpose Object-Level 3D Understanding.
CoRR, 2024
Learning a Category-level Object Pose Estimator without Pose Annotations.
CoRR, 2024
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Generating Images with 3D Annotations Using Diffusion Models.
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Proceedings of the Twelfth International Conference on Learning Representations, 2024
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024
Learning from imperfect data: incremental learning and Few-shot Learning.
PhD thesis, 2023
Continual Adversarial Defense.
CoRR, 2023
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning.
CoRR, 2023
Adding 3D Geometry Control to Diffusion Models.
CoRR, 2023
Continual Learning for Abdominal Multi-organ and Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Continual Detection Transformer for Incremental Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Online Hyperparameter Optimization for Class-Incremental Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Meta-Transfer Learning Through Hard Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Generating Face Images With Attributes for Free.
IEEE Trans. Neural Networks Learn. Syst., 2021
Learning to teach and learn for semi-supervised few-shot image classification.
Comput. Vis. Image Underst., 2021
RMM: Reinforced Memory Management for Class-Incremental Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Adaptive Aggregation Networks for Class-Incremental Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Meta-Aggregating Networks for Class-Incremental Learning.
CoRR, 2020
An Ensemble of Epoch-Wise Empirical Bayes for Few-Shot Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Learning to Self-Train for Semi-Supervised Few-Shot Classification.
CoRR, 2019
LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning.
CoRR, 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Meta-Transfer Learning for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019