activity
20232026
most citedMulti-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection

5 citations · 8 across the 13 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.AI2026

Perception or Prejudice: Can MLLMs Go Beyond First Impressions of Personality?

Caixin Kang, Tianyu Yan, Sitong Gong +8

Multimodal Large Language Models (MLLMs) are increasingly deployed in human-facing roles where personality perception is critical, yet existing benchmarks evaluate this capability…

cs.CV2026

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…