Paintseg: Painting pixels for training-free segmentation

X Li, CC Lin, Y Chen, Z Liu, J Wang… - Advances in Neural …, 2024 - proceedings.neurips.cc
The paper introduces PaintSeg, a new unsupervised method for segmenting objects without
any training. We propose an adversarial masked contrastive painting (AMCP) process …

Towards noise-tolerant speech-referring video object segmentation: Bridging speech and text

X Li, J Wang, X Xu, M Yang, F Yang… - Proceedings of the …, 2023 - aclanthology.org
Linguistic communication is prevalent in Human-Computer Interaction (HCI). Speech
(spoken language) serves as a convenient yet potentially ambiguous form due to noise and …

PaintSeg: training-free segmentation via painting

X Li, CC Lin, Y Chen, Z Liu, J Wang, B Raj - arXiv preprint arXiv …, 2023 - arxiv.org
The paper introduces PaintSeg, a new unsupervised method for segmenting objects without
any training. We propose an adversarial masked contrastive painting (AMCP) process …

CPM: Class-conditional Prompting Machine for Audio-visual Segmentation

Y Chen, C Wang, Y Liu, H Wang, G Carneiro - arXiv preprint arXiv …, 2024 - arxiv.org
Audio-visual segmentation (AVS) is an emerging task that aims to accurately segment
sounding objects based on audio-visual cues. The success of AVS learning systems …

-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations

X Li, K Qiu, J Wang, X Xu, R Singh, K Yamazak… - arXiv preprint arXiv …, 2024 - arxiv.org
Referring perception, which aims at grounding visual objects with multimodal referring
guidance, is essential for bridging the gap between humans, who provide instructions, and …

Part-aware Personalized Segment Anything Model for Patient-Specific Segmentation

C Zhao, L Shen - arXiv preprint arXiv:2403.05433, 2024 - arxiv.org
Precision medicine, such as patient-adaptive treatments utilizing medical images, poses
new challenges for image segmentation algorithms due to (1) the large variability across …

Training-free CryoET Tomogram Segmentation

Y Zhao, H Bian, M Mu, MR Uddin, Z Li, X Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Cryogenic Electron Tomography (CryoET) is a useful imaging technology in structural
biology that is hindered by its need for manual annotations, especially in particle picking …

[PDF][PDF] R 2-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations

X Li, K Qiu, J Wang, X Xu, R Singh, K Yamazaki… - CoRR, 2024 - researchgate.net
Referring perception, which aims at grounding visual objects with multimodal referring
guidance, is essential for bridging the gap between humans, who provide instructions, and …