285 citations · 315 across the 11 of their papers we have counts for
11 papers
Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning
Cilin Yan, Haochen Wang, Xiaolong Jiang +4
Contrastive Vision-Language Pre-training(CLIP) demonstrates impressive zero-shot capability. The key to improve the adaptation of CLIP to downstream task with few exemplars lies in…
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…
PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation
Cilin Yan, Haochen Wang, Jie Liu +5
Click-based interactive segmentation aims to generate target masks via human clicking, which facilitates efficient pixel-level annotation and image editing. In such a task, target…
Towards Open-Vocabulary Video Instance Segmentation
Haochen Wang, Cilin Yan, Shuai Wang +5
Video Instance Segmentation (VIS) aims at segmenting and categorizing objects in videos from a closed set of training categories, lacking the generalization ability to handle novel…
OvarNet: Towards Open-vocabulary Object Attribute Recognition
Keyan Chen, Xiaolong Jiang, Yao Hu +4
In this paper, we consider the problem of simultaneously detecting objects and inferring their visual attributes in an image, even for those with no manual annotations provided at…
Decoupled IoU Regression for Object Detection
Yan Gao, Qimeng Wang, Xu Tang +4
Non-maximum suppression (NMS) is widely used in object detection pipelines for removing duplicated bounding boxes. The inconsistency between the confidence for NMS and the real loc…
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge
Jiyang Qi, Yan Gao, Yao Hu +7
Although deep learning methods have achieved advanced video object recognition performance in recent years, perceiving heavily occluded objects in a video is still a very challengi…
End-to-end Temporal Action Detection with Transformer
Xiaolong Liu, Qimeng Wang, Yao Hu +4
Temporal action detection (TAD) aims to determine the semantic label and the temporal interval of every action instance in an untrimmed video. It is a fundamental and challenging t…
SwiftNet: Real-time Video Object Segmentation
Haochen Wang, Xiaolong Jiang, Haibing Ren +2
In this work we present SwiftNet for real-time semisupervised video object segmentation (one-shot VOS), which reports 77.8% J &F and 70 FPS on DAVIS 2017 validation dataset, leadin…
Occluded Video Instance Segmentation: A Benchmark
Jiyang Qi, Yan Gao, Yao Hu +7
Can our video understanding systems perceive objects when a heavy occlusion exists in a scene? To answer this question, we collect a large-scale dataset called OVIS for occluded vi…
Multi-shot Temporal Event Localization: a Benchmark
Xiaolong Liu, Yao Hu, Song Bai +3
Current developments in temporal event or action localization usually target actions captured by a single camera. However, extensive events or actions in the wild may be captured a…