research
∙
03/28/2023
HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models
Human-Object Interaction (HOI) detection aims to localize human-object p...
share
research
∙
03/02/2023
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning
Human object interaction (HOI) detection plays a crucial role in human-c...
research
∙
03/30/2022
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers
Breakthroughs in transformer-based models have revolutionized not only t...
research
∙
03/10/2022
Intention-aware Feature Propagation Network for Interactive Segmentation
We aim to tackle the problem of point-based interactive segmentation, in...
research
∙
09/22/2021
KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation
Self-supervised vision-and-language pretraining (VLP) aims to learn tran...
research
∙
06/18/2021
GEM: A General Evaluation Benchmark for Multimodal Tasks
In this paper, we present GEM as a General Evaluation benchmark for Mult...
research
∙
03/24/2021
Relation-aware Instance Refinement for Weakly Supervised Visual Grounding
Visual grounding, which aims to build a correspondence between visual ob...
research
∙
07/13/2020
Part-aware Prototype Network for Few-shot Semantic Segmentation
Few-shot semantic segmentation aims to learn to segment new object class...
research
∙
11/20/2019
Learning Cross-modal Context Graph for Visual Grounding
Visual grounding is a ubiquitous building block in many vision-language ...
research
∙
09/18/2019
