5 papers indexed
Hongbo Kang, Tianyi Zhou, Qingyang Yang, Hongwei Wen, Jing Huang, Yu-Kun Lai, et al.
Recovering scene-consistent 4D crowd motion from monocular video in large-scale scenes remains challenging due to severe depth ambiguity and complex scene geometry. Existing monocular crowd reconstruction methods typically rely on single-plane assumptions, leading to unreliable m…
Junhui She, Fei Wang, Kun Li, Yiqi Nie, Yuxin Liu, Zhangling Duan, et al.
Gaze target estimation aims to infer the position of a person's gaze within a scene. Within mainstream design logic, multi-branch methods require extra supervision and annotations, while streamlined designs prioritize low-level visual saliency over true gaze intent. The former le…
Kun Li, Dan Guo, Jihao Gu, Pengyu Liu, Xiaobai Li, Haoyu Chen, et al.
Micro-Actions (MAs) are subtle and spontaneous human behaviors that provide important non-verbal cues in social interaction and affective communication. However, their short duration, weak motion patterns, and fine-grained semantic differences make them difficult to annotate, mod…
Xiaochuan Guo, Jihao Gu, Haixu Liu, Yuxin Liu, Qi Wang, Yufei Wang, et al.
In this paper, we present the solution developed by our team, XInsight Lab, which achieved first place in Track 3 of the 4th EI-MIGA-IJCAI Challenge with a test accuracy of 0.76923. To address the challenge of weak and sparse implicit emotion evidence in long videos, this paper e…
Kun Li, Shengxi Gui, Francesco Nex, Michael Ying Yang
Referring Remote Sensing Image Segmentation (RRSIS) seeks to localize and segment the target object or region specified by a natural language expression in a remote sensing image. While existing RRSIS models have benefited from large-scale foundation models, they predominantly re…