most citedUnseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection

11 citations · 11 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Targetless 6DoF Calibration of LiDAR and 2D Scanning Radar Based on Cylindrical Occupancy

Weimin Wang, Yu Du, Ting Yang +1

Owing to the capability for reliable and all-weather long-range sensing, the fusion of LiDAR and Radar has been widely applied to autonomous vehicles for robust perception. In prac…

cs.CV2024

Not Just Object, But State: Compositional Incremental Learning without Forgetting

Yanyi Zhang, Binglin Qiu, Qi Jia +2

Most incremental learners excessively prioritize coarse classes of objects while neglecting various kinds of states (e.g. color and material) attached to the objects. As a result,…

cs.CV202411 cited

Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection

Yixin Guo, Yu Liu, Jianghao Li +2

Zero-shot human-object interaction (HOI) detector is capable of generalizing to HOI categories even not encountered during training. Inspired by the impressive zero-shot capabiliti…

cs.CV2024

MergeNet: Explicit Mesh Reconstruction from Sparse Point Clouds via Edge Prediction

Weimin Wang, Yingxu Deng, Zezeng Li +2

This paper introduces a novel method for reconstructing meshes from sparse point clouds by predicting edge connection. Existing implicit methods usually produce superior smooth and…

cs.CV2024

Novel Class Discovery for Ultra-Fine-Grained Visual Categorization

Yu Liu, Yaqi Cai, Qi Jia +3

Ultra-fine-grained visual categorization (Ultra-FGVC) aims at distinguishing highly similar sub-categories within fine-grained objects, such as different soybean cultivars. Compare…