8 papers indexed
Penglei Sun, Yehua Huang, Zhuoli Tao, Xiang Li, Runwei Guan, Yaoxian Song, et al.
Language-guided aerial perception aims to understand user-specified tiny targets in complex unmanned aerial vehicle (UAV) scenes. In real UAV deployment, the UAV must respond while it flies, so such perception runs in an online streaming manner, where frames arrive sequentially a…
Jianing Peng, Mengyu Wang, Henghui Ding, Zixiang Li, Ting Liu, Xiaochao Qu, et al.
Multi-reference image generation aims to synthesize images by integrating attributes from multiple reference images under textual instructions. As the number of references increases, the task necessitates complex semantic comprehension, such as correctly associating attributes wi…
Ruiqi Shen, Chang Liu, Henghui Ding
Modern Video Object Segmentation (VOS) involves tracking and segmenting user-specified targets. While recent approaches have achieved remarkable performance in single-target scenarios, extending them to multi-target settings typically involves replicating the single-target proces…
Syed Ariff Syed Hesham, Yun Liu, Guolei Sun, Jing Yang, Henghui Ding, Xue Geng, et al.
Video reasoning segmentation demands pixel-accurate object tracking across hundreds of frames under complex natural language queries, producing dense spatiotemporal tokens whose quadratic self-attention cost makes long-video processing prohibitive. Existing methods address this t…
Song Tang, Shuming Hu, Xincheng Shuai, Henghui Ding, Yu-Gang Jiang
Existing referring segmentation models passively process static images captured from fixed perspectives, limiting their applicability in Embodied AI, where agents must perform active perception in the continuous 360$^\circ$ environments. To bridge this gap, we introduce a novel t…
Ruiqi Shen, Guangquan Jie, Chang Liu, Henghui Ding
Despite impressive advances in image matting, video matting remains challenging due to the inherent gap between high-level tracking, which requires frame-wise understanding, and low-level matting, which focuses on extremely fine-grained details. Existing methods attempt this with…
Jinyu Liu, Henghui Ding, Shuting He, Yu-Gang Jiang
Existing referring video segmentation methods often treat a video as a single event consisting of multiple images, overlooking the fact that a video typically contains multiple distinct events. Under such a mechanism, the model needs to directly understand all the complex content…
Jinyu Liu, Xincheng Shuai, Henghui Ding, Yu-Gang Jiang
Unified multimodal models capable of both understanding and generation have achieved remarkable strides. However, despite their unified designs, existing evaluations typically assess understanding and generation capabilities in isolation, overlooking the synergy between comprehen…