Publications

(2023). LP-OVOD: Open-Vocabulary Object Detection by Linear Probing. Winter Conference on Applications of Computer Vision (WACV).

(2023). Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation. Advances in Neural Information Processing Systems (NeurIPS).

(2023). GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers. International Conference on Computer Vision (ICCV), 2023.

(2023). ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution,. Computer Vision and Pattern Recognition (CVPR), 2023.

(2022). PSENet: Progressive Self-Enhancement Network for Unsupervised Extreme-Light Image Enhancement. Winter Conference on Applications of Computer Vision (WACV).

(2022). Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments. European Conference on Computer Vision (ECCV).

(2022). Few Shot Counting and Detection. European Conference on Computer Vision (ECCV).

(2022). Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter. European Conference on Computer Vision (ECCV).

(2022). iFS-RCNN: An Incremental Few-shot Instance Segmenter. Computer Vision and Pattern Recognition (CVPR), 2022.

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(2021). POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples. Advances in Neural Information Processing Systems (NeurIPS).

(2021). A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation. International Conference on Computer Vision (ICCV), 2021.

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(2021). FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter. Computer Vision and Pattern Recognition (CVPR), 2021.

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(2020). A Self-supervised GAN for Unsupervised Few-shot Object Recognition. ICPR 2020.

(2020). Feature Weighting and Boosting for Few-Shot Segmentation. ICCV 2019.

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