22 citations · 68 across the 8 of their papers we have counts for
8 papers
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation
Weixuan Sun, Yanhao Zhang, Zhen Qin +5
In this work, we propose a new transformer-based regularization to better localize objects for Weakly supervised semantic segmentation (WSSS). In image-level WSSS, Class Activation…
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems
Weixuan Sun, Zheyuan Liu, Yanhao Zhang +2
The Segment Anything Model (SAM) has demonstrated exceptional performance and versatility, making it a promising tool for various related tasks. In this report, we explore the appl…
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
Zheyuan Liu, Weixuan Sun, Damien Teney +1
Composed image retrieval aims to find an image that best matches a given multi-modal user query consisting of a reference image and text pair. Existing methods commonly pre-compute…
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning
Weixuan Sun, Jiayi Zhang, Jianyuan Wang +6
Self-supervised audio-visual source localization aims to locate sound-source objects in video frames without extra annotations. Recent methods often approach this goal with the hel…
Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
Zheyuan Liu, Weixuan Sun, Yicong Hong +2
Composed image retrieval searches for a target image based on a multi-modal user query comprised of a reference image and modification text describing the desired changes. Existing…
GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation
Weixuan Sun, Jing Zhang, Zheyuan Liu +2
Weakly Supervised Semantic Segmentation (WSSS) is challenging, particularly when image-level labels are used to supervise pixel level prediction. To bridge their gap, a Class Activ…
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
Zheyuan Liu, Cristian Rodriguez-Opazo, Damien Teney +1
We extend the task of composed image retrieval, where an input query consists of an image and short textual description of how to modify the image. Existing methods have only been…
Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting
Adriana-Simona Mihaita, Zheyuan Liu, Chen Cai +1
Predicting traffic incident duration is a major challenge for many traffic centres around the world. Most research studies focus on predicting the incident duration on motorways ra…