activity
20162023
most citedLocal-Global Context Aware Transformer for Language-Guided Video Segmentation

105 citations · 277 across the 34 of their papers we have counts for

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Showing 2023Show all

13 papers · 1 filter

cs.CV2023★ 7 cited

Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction

Zechuan Zhang, Li Sun, Zongxin Yang +2

Reconstructing 3D clothed human avatars from single images is a challenging task, especially when encountering complex poses and loose clothing. Current methods exhibit limitations…

cs.CV2023★ 1 cited

LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoning

Liulei Li, Wenguan Wang, Yi Yang

Current high-performance semantic segmentation models are purely data-driven sub-symbolic approaches and blind to the structured nature of the visual world. This is in stark contra…

physics.optics2023

Design of laser uniform illumination system based on aspheric lens and compound ellipsoidal cavity

Yu Lu, Xiangxiang Zhang, Ruilong Wu +1

In order to achieve uniform laser illumination with small aperture diameter and large field Angle,study laser active illumination system.An aspheric mirror combined with a composit…

cs.CV2023

Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation

Yuanyou Xu, Zongxin Yang, Yi Yang

Tracking any given object(s) spatially and temporally is a common purpose in Visual Object Tracking (VOT) and Video Object Segmentation (VOS). Joint tracking and segmentation have…

cs.CV2023★ 3 cited

JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery

Jiahao Li, Zongxin Yang, Xiaohan Wang +3

In this study, we focus on the problem of 3D human mesh recovery from a single image under obscured conditions. Most state-of-the-art methods aim to improve 2D alignment technologi…

cs.CV2023

TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering

Xiao Pan, Zongxin Yang, Jianxin Ma +2

In this paper, we focus on the task of generalizable neural human rendering which trains conditional Neural Radiance Fields (NeRF) from multi-view videos of different characters. T…