5 citations · 8 across the 13 of their papers we have counts for
11 papers · 1 filter
Paths: Prompt-aware Spatio-temporal Transformer with Hierarchical Multi-modal Fusion for RGB-Event Video Person Re-Identification
Yakun Huo, Yingquan Wang, Yangyang Liu +4
RGB-Event Video Person Re-Identification (RE-VReID) aims to retrieve specific person across non-overlapping cameras with complementary RGB videos and event streams. However, existi…
GROVE: Growing and Reasoning over Temporally Stratified Memory from Streaming Video Experience
Sitong Gong, Caixin Kang, Tianyu Yan +7
A wearable assistant should both answer questions about its visual history and recognize when that history is useful to the present situation. Existing video-memory systems primari…
Vinci2: Providing Proactive Assistance in Continuous Egocentric Videos
Gong Sitong, Tianyu Yan, Caixin Kang +6
When should an intelligent assistant speak up without being asked? Continuous egocentric video offers rich, evolving context that enables a new form of assistance: one that is proa…
3D Segment Anything Model with Visual Mamba for Diagnosing Placenta Accreta Spectrum
Yuliang Zhang, Fang He, Lulu Peng +5
Placenta Accreta Spectrum (PAS) is a rare but highly dangerous obstetric disease. Early and accurate PAS diagnosis is critical for maternal health. Traditional PAS diagnosis relies…
HFP-SAM: Hierarchical Frequency Prompted SAM for Efficient Marine Animal Segmentation
Pingping Zhang, Tianyu Yan, Yuhao Wang +7
Marine Animal Segmentation (MAS) aims at identifying and segmenting marine animals from complex marine environments. Most of previous deep learning-based MAS methods struggle with…
Towards Interactive Intelligence for Digital Humans
Yiyi Cai, Xuangeng Chu, Xiwei Gao +16
We introduce Interactive Intelligence, a novel paradigm of digital human that is capable of personality-aligned expression, adaptive interaction, and self-evolution. To realize thi…
MambaPro: Multi-Modal Object Re-Identification with Mamba Aggregation and Synergistic Prompt
Yuhao Wang, Xuehu Liu, Tianyu Yan +4
Multi-modal object Re-IDentification (ReID) aims to retrieve specific objects by utilizing complementary image information from different modalities. Recently, large-scale pre-trai…
Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection
Shixuan Gao, Pingping Zhang, Tianyu Yan +1
Salient Object Detection (SOD) aims to identify and segment the most prominent objects in images. Advanced SOD methods often utilize various Convolutional Neural Networks (CNN) or…
MAS-SAM: Segment Any Marine Animal with Aggregated Features
Tianyu Yan, Zifu Wan, Xinhao Deng +3
Recently, Segment Anything Model (SAM) shows exceptional performance in generating high-quality object masks and achieving zero-shot image segmentation. However, as a versatile vis…
Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
Pingping Zhang, Tianyu Yan, Yang Liu +1
As an important pillar of underwater intelligence, Marine Animal Segmentation (MAS) involves segmenting animals within marine environments. Previous methods don't excel in extracti…
TransY-Net:Learning Fully Transformer Networks for Change Detection of Remote Sensing Images
Tianyu Yan, Zifu Wan, Pingping Zhang +2
In the remote sensing field, Change Detection (CD) aims to identify and localize the changed regions from dual-phase images over the same places. Recently, it has achieved great pr…