25 citations · 84 across the 27 of their papers we have counts for
21 papers · 1 filter
Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation
Ruijie Xu, Chuyu Zhang, Hui Ren +1
We tackle the novel class discovery in point cloud segmentation, which discovers novel classes based on the semantic knowledge of seen classes. Existing work proposes an online poi…
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models
Rongjie Li, Songyang Zhang, Dahua Lin +2
Scene graph generation (SGG) aims to parse a visual scene into an intermediate graph representation for downstream reasoning tasks. Despite recent advancements, existing methods st…
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning
Rongjie Li, Yu Wu, Xuming He
Generative vision-language models (VLMs) have shown impressive performance in zero-shot vision-language tasks like image captioning and visual question answering. However, improvin…
DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation
Zeeshan Hayder, Xuming He
Scene graph generation aims to capture detailed spatial and semantic relationships between objects in an image, which is challenging due to incomplete labelling, long-tailed relati…
SGTR+: End-to-end Scene Graph Generation with Transformer
Rongjie Li, Songyang Zhang, Xuming He
Scene Graph Generation (SGG) remains a challenging visual understanding task due to its compositional property. Most previous works adopt a bottom-up, two-stage or point-based, one…
POT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
Chuyu Zhang, Hui Ren, Xuming He
Deep clustering, which learns representation and semantic clustering without labels information, poses a great challenge for deep learning-based approaches. Despite significant pro…