activity
20172026
most citedAmulet: Aggregating Multi-level Convolutional Features for Salient Object Detection

116 citations · 125 across the 6 of their papers we have counts for

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7 papers · 1 filter

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.CV2024

Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text Matching

Haiwen Diao, Ying Zhang, Shang Gao +2

Image-text matching remains a challenging task due to heterogeneous semantic diversity across modalities and insufficient distance separability within triplets. Different from prev…

cs.CV202345 cited

Plug-and-Play Regulators for Image-Text Matching

Haiwen Diao, Ying Zhang, Wei Liu +2

Exploiting fine-grained correspondence and visual-semantic alignments has shown great potential in image-text matching. Generally, recent approaches first employ a cross-modal atte…

cs.CV2022

OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval

Yunhao Du, Binyu Zhang, Xiangning Ruan +3

Retrieving tracked-vehicles by natural language descriptions plays a critical role in smart city construction. It aims to find the best match for the given texts from a set of trac…

cs.CV20229 cited

Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline

Pengyu Zhang, Jie Zhao, Dong Wang +2

With the popularity of multi-modal sensors, visible-thermal (RGB-T) object tracking is to achieve robust performance and wider application scenarios with the guidance of objects' t…