206 citations · 223 across the 13 of their papers we have counts for
10 papers · 1 filter
Explainable Forensics of Manipulated Segments in Untrimmed Long Videos
Yue Feng, Jingjing Li, Qijia Lu +9
The rapid advancement of AI-driven video generation has transformed content creation, while simultaneously increasing the risk of misinformation through localized manipulations in…
Towards Unified Surgical Scene Understanding:Bridging Reasoning and Grounding via MLLMs
Jincai Huang, Shihao Zou, Yuchen Guo +5
Surgical scene understanding is a cornerstone of computer-assisted intervention. While recent advances, particularly in surgical image segmentation, have driven progress, real-worl…
Selective Noise Suppression and Discriminative Mutual Interaction for Robust Audio-Visual Segmentation
Kai Peng, Yunzhe Shen, Miao Zhang +6
The ability to capture and segment sounding objects in dynamic visual scenes is crucial for the development of Audio-Visual Segmentation (AVS) tasks. While significant progress has…
Toward Real-Time Surgical Scene Segmentation via a Spike-Driven Video Transformer with Spike-Informed Pretraining
Shihao Zou, Jingjing Li, Wei Ji +5
Modern surgical systems increasingly rely on intelligent scene understanding to improve intra-operative safety and situational awareness, with surgical scene segmentation playing a…
SAM3-I: Segment Anything with Instructions
Jingjing Li, Yue Feng, Yuchen Guo +10
Segment Anything Model 3 (SAM3) advances open-vocabulary segmentation through promptable concept segmentation, enabling users to segment all instances associated with a given conce…
Frequency-Domain Decomposition and Recomposition for Robust Audio-Visual Segmentation
Yunzhe Shen, Kai Peng, Leiye Liu +6
Audio-visual segmentation (AVS) plays a critical role in multimodal machine learning by effectively integrating audio and visual cues to precisely segment objects or regions within…
SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and Complexity
Shihao Zou, Qingfeng Li, Wei Ji +4
Spiking Neural Networks (SNNs) have shown competitive performance to Artificial Neural Networks (ANNs) in various vision tasks, while offering superior energy efficiency. However,…
Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications
Wei Ji, Jingjing Li, Qi Bi +3
Recently, Meta AI Research approaches a general, promptable Segment Anything Model (SAM) pre-trained on an unprecedentedly large segmentation dataset (SA-1B). Without a doubt, the…
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
Wei Ji, Jingjing Li, Qi Bi +3
Growing interests in RGB-D salient object detection (RGB-D SOD) have been witnessed in recent years, owing partly to the popularity of depth sensors and the rapid progress of deep…
Human Pose and Shape Estimation from Single Polarization Images
Shihao Zou, Xinxin Zuo, Sen Wang +3
This paper focuses on a new problem of estimating human pose and shape from single polarization images. Polarization camera is known to be able to capture the polarization of refle…