5 citations · 11 across the 6 of their papers we have counts for
6 papers
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation
Jie Guo, Qimeng Wang, Yan Gao +4
CLIP (Contrastive Language-Image Pretraining) is well-developed for open-vocabulary zero-shot image-level recognition, while its applications in pixel-level tasks are less investig…
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
Mingyuan Mao, Baochang Zhang, David Doermann +5
Model ensembles are becoming one of the most effective approaches for improving object detection performance already optimized for a single detector. Conventional methods directly…
A Survey on Natural Language Video Localization
Xinfang Liu, Xiushan Nie, Zhifang Tan +2
Natural language video localization (NLVL), which aims to locate a target moment from a video that semantically corresponds to a text query, is a novel and challenging task. Toward…
Partially Observable Online Change Detection via Smooth-Sparse Decomposition
Jie Guo, Hao Yan, Chen Zhang +1
We consider online change detection of high dimensional data streams with sparse changes, where only a subset of data streams can be observed at each sensing time point due to limi…
Learning Actor Relation Graphs for Group Activity Recognition
Jianchao Wu, Limin Wang, Li Wang +2
Modeling relation between actors is important for recognizing group activity in a multi-person scene. This paper aims at learning discriminative relation between actors efficiently…
Stochastic Channel Decorrelation Network and Its Application to Visual Tracking
Jie Guo, Tingfa Xu, Shenwang Jiang +1
Deep convolutional neural networks (CNNs) have dominated many computer vision domains because of their great power to extract good features automatically. However, many deep CNNs-b…